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Partnership highlights

Feb 20, 2026

U&We partners with Normain to scale expert-led sustainability work

Sustainability work faces several challenges, one of which is turning increasingly large volumes of fragmented and unstructured material into structured, actionable insights. We’re proud to announce that leading sustainability firm U&We has chosen  Normain’s Extractional AI to complement and boost their data management and meet increasing client demands.

U&We has partnered with Normain to support a range of sustainability tasks across their client work. Rather than changing how U&We’s experts work, Normain is used as a supporting capability, helping structure, review, and facilitate expert judgment across projects in a more consistent and scalable way. So far, U&We is still in the early stages of applying Normain across different types of tasks. As sustainability efforts become increasingly regulated, companies face a growing need for expert guidance that takes a holistic view of sustainability requirements and inherent goal conflicts. With Normain as part of their toolkit, U&We sees significant potential for using qualified consultancy efforts more efficiently

“We've always held a high bar for rigor and quality in our sustainability work. Normain is a tool that helps us scale that standard without compromising our methodology." says Peter Wrenfelt Founder & senior partner. "It's the kind of tool that you quickly start relying on”.

What makes this partnership distinctive is that Normain does not automate away the expertise. It reinforces it. U&We retains full control over judgment, interpretation, and advice, while Normain supports the underlying work that makes expert-led delivery scalable.

“U&We represents the kind of sustainability expertise the industry needs as expectations continue to rise,” says Sara Landfors, CEO of Normain. “We’re proud to partner with a team that shows how expert-led sustainability work can scale without losing quality or credibility.”

For sustainability consultancies navigating similar pressures, the collaboration illustrates how sustainability expertise can scale without compromising rigor, transparency, or trust.

Announcements

Jan 14, 2026

AvS Advisors launches first-of-Its-kind Board Benchmark with Normain

At Normain, we believe that the real magic happens when deep expertise is paired with cutting-edge technology. The recent launch of What Boards Do Next 2026, a landmark report from AvS Advisors, is a perfect example.

This report is the first benchmark of its kind, mapping boardroom effectiveness across FTSE 350 companies. But what makes it truly stand out is not just the insights, but how they were surfaced. Behind the scenes, AvS Advisors used Normain’s extractional AI to analyze thousands of data points across hundreds of corporate governance reports. What would have taken months of manual effort became a precise, scalable research capability.

Frederik Otto at AvS Advisors and one of the report’s lead authors, put it plainly:

“The volume and quality of this benchmark would have been impossible without Normain’s AI technology. And we’re excited to bring this type of insight to market both now and in the future”

AvS Advisors has built its reputation on rigorous work in leadership advisory which includes board effectiveness and governance consulting. With this report, they are pushing the industry forward. By combining their trusted methodology with Normain’s AI, they are setting a new bar for governance insights.

The findings speak for themselves. While boards demonstrate a strong focus on strategic oversight, many underreport across other core responsibilities, notably risk oversight, ESG and sustainability, and board composition. The report suggests that UK boards remain compliance-strong but unevenly prepared for an era of sustained geopolitical, technological, and macroeconomic disruption.

Normain’s AI made it possible to categorize and quantify these trends across the entire FTSE 350, turning qualitative data into clear, actionable insights. The result is not just a one-off report, it’s repeatable thought leadership that AvS Advisors can evolve over time.

This launch reflects a broader shift in how professional services operate. Rather than replacing expertise, Normain is designed to scale it. AvS Advisors did not need to change their framework or ways of working. Their expertise remains fully intact, now delivered faster, more consistently, and with greater analytical depth.

For AvS clients, this means better diagnostics and sharper insights. For the industry, it sets a new precedent. Not only in corporate governance, but also in how knowledge-intensive services are delivered in an AI-powered world.

We are proud to be the technology platform behind it.

Download your copy of the report here.

Announcements

Nov 26, 2025

Normain has completed a SOC 2® Type 2 examination for information security

Normain has reached a new milestone in information security.

We have successfully completed a SOC 2 Type 2 examination and received a SOC 2 Type 2 report.

This is one of the most widely recognized ways to evaluate information security controls. It’s earned through a rigorous third-party audit process that tests how well our security controls work over time in real operating conditions.

Understanding SOC 2

SOC 2 is a compliance framework created by the AICPA (the American Institute of Certified Public Accountants) to assess an organization’s information security practices. It examines how well security controls protect customer data across both technical systems and day to day operations.

Becoming SOC 2 Type 2 assessed means our security controls have been examined over an extended period by an independent, AICPA-accredited auditor.

What Normain’s SOC 2 Type 2 report covers

Our SOC 2 Type 2 report focuses on the Security (Common Criteria) category. Security is the core of SOC 2 and centers on protecting systems and data against unauthorized access, misuse, and disclosure across both technical systems and everyday operations.

Here’s what the Security criteria covers:

  • Control environment: We establish an organizational foundation that prioritizes integrity, accountability, and security.

  • Communication and information: We document our security policies and communicate clear expectations for handling data internally and externally.

  • Risk assessment: We identify, analyze, and assess security risks on an ongoing basis.

  • Monitoring controls: We continuously monitor our systems and confirm that security controls operate effectively.

  • Control activities: We implement processes and technologies that reduce security risk and enforce our policies.

  • Logical and physical access controls: We prevent unauthorized access to data, devices, systems, and facilities.

  • System operations: We maintain secure operations through monitoring, incident response readiness, and recovery planning.

  • Change management: We review, test, and approve system changes before deployment to protect stability and security.

  • Risk mitigation: We manage and reduce third party risk through vendor oversight and access controls.

Completing a Type 2 examination for Security shows that our core security controls are not only thoughtfully designed, but have been operating effectively throughout the audit period under real conditions.

Why this matters

In modern software, trust is everything.

A SOC 2 Type 2 report is not just a checkbox. It is one of the strongest signals a company can give about how seriously it treats security.

For you, this means:

  • Your data is protected. Our protections have been tested over months and shown to operate effectively in real conditions.


  • Your workflows are secure. We meet a widely accepted standard for handling sensitive data


  • Your trust is verified. An independent, AICPA-accredited auditor has evaluated our controls against defined criteria.

This milestone reinforces the trust teams already place in Normain to handle sensitive, high stakes workflows.

Why we are proud

Strong security has always been non-negotiable at Normain.

This SOC 2 Type 2 report shows that our controls don’t just exist on paper, they work day in and day out under real conditions.  It also complements our ISO 27001 work and reinforces our continued dedication to protecting customer data.

Few companies earn this level of verification this early, and it’s a milestone that will matter for every customer choosing to trust us with their data.

For more on how we protect your data, visit our Trust Center: https://trust.normain.com/

Announcements

Nov 25, 2025

Why I decided to join Normain as Founding Engineer - Max Netterberg

Q: You could have joined many teams, what made Normain stand out?

A: For me, it came down to two things: the mission and the people.

Normain is solving a real problem experts feel every day: the inability to extract trusted, verifiable insights from messy documents. The vision of turning chaos into structured insights resonated with me immediately.

And just as important, the team felt different. Ambitious, high-caliber, extremely execution-driven and world-class. I wanted a place where I could contribute early, influence product direction, and work alongside people who care about doing things well. 

Q: How would you describe the problem Normain is solving?

A: Many expert teams rely on accurate and consistent information extraction, but conversational AI cannot deliver the precision, structure, or reliability they need. Because of this, they still spend hours validating, correcting, and re-extracting insights from messy and unstructured documents.

Normain solves this with Extractional AI, a category defining approach purpose-built for extracting insights from unstructured document chaos. It transforms messy inputs into structured insights that teams can trust and act on, even at scale.

Q: What kind of impact do you hope your work will have?

A: I want to help take Normain from early traction to becoming the default way experts extract precise, verifiable insights from complex documents.

My background is in building products that automate complex workflows, integrate with real-world systems, and move from pilot to production. I want to apply that here, shipping fast, building things right, and helping customers succeed at scale.

Q: What should someone know before joining Normain?

A: It’s early, and that’s the fun part.
Things move fast, ownership is real, and there are no “just build this ticket” kind of days. You’ll help shape product, architecture, and even how we work as a team.

The bar is incredibly high, and there’s a strong focus on building with intention: quality, security, and long-term thinking, even when we ship quickly. 

Q: Is there anything else you’d like to add?

A: That I’m genuinely excited about where Normain is headed.
The mission is meaningful, the timing is right, and the team is incredible. It’s rare to find a place where you can build ambitious tech, have direct customer impact, and shape something that could redefine how entire industries work. I’m here because I believe in that future and want to help make it real.

Announcements

Nov 21, 2025

Normain in the Semi-Finals of Slush 100, Europe’s Leading Startup Stage

This week, Normain was in Helsinki, Finland for Slush 2025.

Normain pitched in the semi-finals of Europe’s most coveted startup competition: Slush 100. Out of over 1,000 startups that applied, we were selected among the top 20. Our CEO and co-founder, Sara Landfors, pitched on the main stage in front of judges from General Catalyst, and Cherry Ventures, and an audience packed with operators and investors building serious companies.

Sara also spoke on two panels during the event. The first, hosted by McKinsey, featured Henrik Landgren, Co-founder and CPTO at Gilion and Lukas Saari, Co-founder and CEO at Tandem Health. The panel was moderated by Sandra Hernvall, Associate Partner at McKinsey.

The second panel, titled Tales of Silicon Valhalla: From a two-time unicorn founder to bold builders, was a deep dive into what it takes to build a startup. Alongside Charles Maddock of Strawberry Browser, Willard Ahdritz 2-time unicorn founder, and Mattias Miksche, one of Sweden's most powerful angel investors, Sara spoke about building a team that’s radically transparent but also relentlessly driven. At Normain, we’re not optimizing for comfort, we’re optimizing for output and learning. That resonated with a lot of the founders and operators in the room.

Slush is a place where people building real products come to pressure-test ideas, sharpen stories, and connect with others doing the same. We left even more energized.

Thanks to the Slush team for creating the environment. We’ll be back next year!

Announcements

Nov 20, 2025

The Precision Manifesto: Defining Extractional AI

The Precision Manifesto: Defining Extractional AI

Every professional knows this pain: drowning in files, chasing signal through noise, and carrying the pressure to deliver bullet-proof outputs.

It’s not glamorous, but it’s the backbone of real expertise, especially for consultants whose reputations depend on delivering rigorous, tailored insights. Human-led advice to clients always rests on structured analysis drawn from unstructured, messy file chaos.

Two years ago, we were finally promised a revolution for this grunt work.

We were told that AI would automate the hard and tedious stuff: digging through documents, extracting insights, structuring deliverables.

And in many ways, that promise was real.

Conversational AI like ChatGPT and Copilot delivered magically for ideation, rewording, and summarisation. The new tools redefined what was possible and became indispensable almost overnight.

But when deadlines hit and real insights needed to be extracted across 300 pages of client data, a silent truth stared us in the face: Conversational AI isn’t built for that.


Let’s be clear: conversational AI hasn’t failed. It was simply never designed for this kind of work.

And when you look closely, there are four dimensions where conversational AI inevitably breaks down:

  • Unreliable: Looks right, often isn’t.

  • Unpredictable: Same prompt, different answers.

  • Unverifiable: No sources, no trust.

  • Unrepeatable: Every output is a one-off.

In short, it feels like using a paintbrush when you actually need a sharpened pencil.

To fix this, we don’t need more clever chatbots or generalized agents. 

We need an entirely new class of AI. One built to do the work we’re actually trying to automate.

Introducing Extractional AI

Today, Normain is introducing Extractional AI.

A form of artificial intelligence that produces structured insights based on unstructured input data. It is designed to be reliable, predictable, verifiable, and repeatable, using specialized AI engines, purpose-built interfaces, and human-in-the-loop design to support high-stakes, judgment-heavy workflows.

It is built for experts who need to verify every output. For risk teams that can’t afford hallucinations. For compliance analysts who need every control grounded in real citations.

It’s AI that respects the stakes for work that firms bill for, and that experts are hired to do.

Some pioneering teams are are already piloting extractional AI today, with reported 50–80% time savings across tax, risk, compliance, governance, M&A, audit, and sustainability. But more importantly, these teams can unlock a new level of quality and depth in their deliverables, fuelling the next wave of expert work.

The philosophy behind Extractional AI

A new class of AI demands a new philosophy. We’re not launching a messaging tweak, but a fundamental rethinking of how AI should support expert work.

  1. Purpose-built AI engine
    The AI engine of Extractional AI must perform high-precision data extraction and apply hallucination-proof analysis. It must have human-like abilities to interpret structure and patterns of any input format that can be considered "unstructured".

  2. Specialized UI built for precision
    Extractional AI must feature an opinionated interface that constrains prompting, optimizes human-in- the-loop workflows, and ensures consistent, high-quality outputs.

  3. Human-first by design
    Extractional AI should be built to amplify, not replace, expert insight. It should deliver a seamless verification experience, recognizing that the most transformative AI empowers humans, not the other way around.

Extractional AI works in three steps

Extractional AI should be incredibly simple to understand. Here’s how it works in three steps.

  1. Upload your documents: Word, Excel, PDF, web links, your entire knowledge base, whatever.

  2. Define what insights you need: your structure, your logic, your analysis, your format.

  3. Extract and verify: with citations, certainty scores, and human-in-the-loop refinement.


Experience a new type of AI

Extractional AI isn’t just more accurate. It’s the first AI you can actually trust with client-facing work.

Imagine every expert spending their time where it actually matters: driving change with clients and stakeholders, because insights extraction is taken care of.

Every deliverable traceable. Every insight defensible.

Rather than being an operational efficiency lever, Extractional AI is a paradigm shift. 

When insights extraction is no longer a bottleneck, a radically different future opens up: one where expert teams move beyond the drudgery of digging and formatting, and instead focus entirely on what makes them invaluable: understanding complex stakeholder realities and driving change through tailored, high-impact insights.

Human expertise and interaction becomes the premium layer, not buried under grunt work, but elevated by it. For the first time, AI takes its rightful role: in service of experts, not replacing them. 

This is the new operating model, and those who adopt it first will define the next era of professional services.

Book a live walkthrough of Normain and see the future of  work for yourself.

Announcements

Nov 19, 2025

As AI Matures, AI Chatbots Show Their Limits

As AI Matures, AI Chatbots Show Their Limits

As failed pilots and unreliable outputs mount, companies are rethinking their use of AI. In high-stakes work, accuracy and traceability matter more than fluency. Early consulting firms are now leading a shift to a new paradigm: Extractional AI.

The shift is gaining urgency after public failures like Deloitte’s use of fabricated AI content in a government report, and MIT’s finding that 95% of AI pilots fail. Generic chatbots hit 83% adoption for trivial tasks but stall the moment workflows demand context and customization, highlighting a widening gap between what conversational AI can say and what professionals actually need. 

“The market sees the cracks,” says Sara Landfors, CEO of Normain. “Conversational AI cannot meet the reliability required for document analysis. That's why we built Extractional AI, and we’re already working with leading firms in the US and UK, including Big Fours.”

Extractional AI extracts structured, verifiable insights from unstructured data. It follows clear analysis logic to deliver consistent outputs, combining a purpose-built engine, guided interface, and human-in-the-loop design that keeps experts in control.

“Many of the concepts Normain has pioneered are truly innovative,” says Charles Forcey, CTO at Sustainability Roundtable. “It enhances auditability and trust because it is built from the ground up to be transparent and richly sourced.”

These limitations are especially critical in professional services, where Extractional AI helps teams extract values, trace conclusions, and meet regulatory demands with confidence. 

This shift extends beyond time-savings and efficiency. Extractional AI unlocks a greater movement for professional services, ensuring experts can dedicate more time to uniquely human activities like strategic thinking, client communication, and complex decision-making.

“The time we save using Normain goes directly to improving client delivery,” says Adam Turesson, Sustainability Consultant at 2050 Consulting. “It's a mission-critical tool for any expert.”

As chatbot AI falls short in complex environments, early adopters are turning to Extractional AI. This shift is transforming professional services, elevating human judgment, and making expert input more meaningful than ever.

Read the White Paper

To explore the technical and conceptual foundations of Extractional AI in more depth, we have written a full white paper on the topic.

Read the Extractional AI white paper here.

Let's Talk

If you would like to explore what Extractional AI can do for your team, you can reach us at:

📧 hello@normain.com
🌐 www.normain.com

We'd love to hear from you.

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Partnership highlights

Feb 20, 2026

U&We partners with Normain to scale expert-led sustainability work

Sustainability work faces several challenges, one of which is turning increasingly large volumes of fragmented and unstructured material into structured, actionable insights. We’re proud to announce that leading sustainability firm U&We has chosen  Normain’s Extractional AI to complement and boost their data management and meet increasing client demands.

U&We has partnered with Normain to support a range of sustainability tasks across their client work. Rather than changing how U&We’s experts work, Normain is used as a supporting capability, helping structure, review, and facilitate expert judgment across projects in a more consistent and scalable way. So far, U&We is still in the early stages of applying Normain across different types of tasks. As sustainability efforts become increasingly regulated, companies face a growing need for expert guidance that takes a holistic view of sustainability requirements and inherent goal conflicts. With Normain as part of their toolkit, U&We sees significant potential for using qualified consultancy efforts more efficiently

“We've always held a high bar for rigor and quality in our sustainability work. Normain is a tool that helps us scale that standard without compromising our methodology." says Peter Wrenfelt Founder & senior partner. "It's the kind of tool that you quickly start relying on”.

What makes this partnership distinctive is that Normain does not automate away the expertise. It reinforces it. U&We retains full control over judgment, interpretation, and advice, while Normain supports the underlying work that makes expert-led delivery scalable.

“U&We represents the kind of sustainability expertise the industry needs as expectations continue to rise,” says Sara Landfors, CEO of Normain. “We’re proud to partner with a team that shows how expert-led sustainability work can scale without losing quality or credibility.”

For sustainability consultancies navigating similar pressures, the collaboration illustrates how sustainability expertise can scale without compromising rigor, transparency, or trust.

Announcements

Jan 14, 2026

AvS Advisors launches first-of-Its-kind Board Benchmark with Normain

At Normain, we believe that the real magic happens when deep expertise is paired with cutting-edge technology. The recent launch of What Boards Do Next 2026, a landmark report from AvS Advisors, is a perfect example.

This report is the first benchmark of its kind, mapping boardroom effectiveness across FTSE 350 companies. But what makes it truly stand out is not just the insights, but how they were surfaced. Behind the scenes, AvS Advisors used Normain’s extractional AI to analyze thousands of data points across hundreds of corporate governance reports. What would have taken months of manual effort became a precise, scalable research capability.

Frederik Otto at AvS Advisors and one of the report’s lead authors, put it plainly:

“The volume and quality of this benchmark would have been impossible without Normain’s AI technology. And we’re excited to bring this type of insight to market both now and in the future”

AvS Advisors has built its reputation on rigorous work in leadership advisory which includes board effectiveness and governance consulting. With this report, they are pushing the industry forward. By combining their trusted methodology with Normain’s AI, they are setting a new bar for governance insights.

The findings speak for themselves. While boards demonstrate a strong focus on strategic oversight, many underreport across other core responsibilities, notably risk oversight, ESG and sustainability, and board composition. The report suggests that UK boards remain compliance-strong but unevenly prepared for an era of sustained geopolitical, technological, and macroeconomic disruption.

Normain’s AI made it possible to categorize and quantify these trends across the entire FTSE 350, turning qualitative data into clear, actionable insights. The result is not just a one-off report, it’s repeatable thought leadership that AvS Advisors can evolve over time.

This launch reflects a broader shift in how professional services operate. Rather than replacing expertise, Normain is designed to scale it. AvS Advisors did not need to change their framework or ways of working. Their expertise remains fully intact, now delivered faster, more consistently, and with greater analytical depth.

For AvS clients, this means better diagnostics and sharper insights. For the industry, it sets a new precedent. Not only in corporate governance, but also in how knowledge-intensive services are delivered in an AI-powered world.

We are proud to be the technology platform behind it.

Download your copy of the report here.

Announcements

Nov 26, 2025

Normain has completed a SOC 2® Type 2 examination for information security

Normain has reached a new milestone in information security.

We have successfully completed a SOC 2 Type 2 examination and received a SOC 2 Type 2 report.

This is one of the most widely recognized ways to evaluate information security controls. It’s earned through a rigorous third-party audit process that tests how well our security controls work over time in real operating conditions.

Understanding SOC 2

SOC 2 is a compliance framework created by the AICPA (the American Institute of Certified Public Accountants) to assess an organization’s information security practices. It examines how well security controls protect customer data across both technical systems and day to day operations.

Becoming SOC 2 Type 2 assessed means our security controls have been examined over an extended period by an independent, AICPA-accredited auditor.

What Normain’s SOC 2 Type 2 report covers

Our SOC 2 Type 2 report focuses on the Security (Common Criteria) category. Security is the core of SOC 2 and centers on protecting systems and data against unauthorized access, misuse, and disclosure across both technical systems and everyday operations.

Here’s what the Security criteria covers:

  • Control environment: We establish an organizational foundation that prioritizes integrity, accountability, and security.

  • Communication and information: We document our security policies and communicate clear expectations for handling data internally and externally.

  • Risk assessment: We identify, analyze, and assess security risks on an ongoing basis.

  • Monitoring controls: We continuously monitor our systems and confirm that security controls operate effectively.

  • Control activities: We implement processes and technologies that reduce security risk and enforce our policies.

  • Logical and physical access controls: We prevent unauthorized access to data, devices, systems, and facilities.

  • System operations: We maintain secure operations through monitoring, incident response readiness, and recovery planning.

  • Change management: We review, test, and approve system changes before deployment to protect stability and security.

  • Risk mitigation: We manage and reduce third party risk through vendor oversight and access controls.

Completing a Type 2 examination for Security shows that our core security controls are not only thoughtfully designed, but have been operating effectively throughout the audit period under real conditions.

Why this matters

In modern software, trust is everything.

A SOC 2 Type 2 report is not just a checkbox. It is one of the strongest signals a company can give about how seriously it treats security.

For you, this means:

  • Your data is protected. Our protections have been tested over months and shown to operate effectively in real conditions.


  • Your workflows are secure. We meet a widely accepted standard for handling sensitive data


  • Your trust is verified. An independent, AICPA-accredited auditor has evaluated our controls against defined criteria.

This milestone reinforces the trust teams already place in Normain to handle sensitive, high stakes workflows.

Why we are proud

Strong security has always been non-negotiable at Normain.

This SOC 2 Type 2 report shows that our controls don’t just exist on paper, they work day in and day out under real conditions.  It also complements our ISO 27001 work and reinforces our continued dedication to protecting customer data.

Few companies earn this level of verification this early, and it’s a milestone that will matter for every customer choosing to trust us with their data.

For more on how we protect your data, visit our Trust Center: https://trust.normain.com/

Announcements

Nov 25, 2025

Why I decided to join Normain as Founding Engineer - Max Netterberg

Q: You could have joined many teams, what made Normain stand out?

A: For me, it came down to two things: the mission and the people.

Normain is solving a real problem experts feel every day: the inability to extract trusted, verifiable insights from messy documents. The vision of turning chaos into structured insights resonated with me immediately.

And just as important, the team felt different. Ambitious, high-caliber, extremely execution-driven and world-class. I wanted a place where I could contribute early, influence product direction, and work alongside people who care about doing things well. 

Q: How would you describe the problem Normain is solving?

A: Many expert teams rely on accurate and consistent information extraction, but conversational AI cannot deliver the precision, structure, or reliability they need. Because of this, they still spend hours validating, correcting, and re-extracting insights from messy and unstructured documents.

Normain solves this with Extractional AI, a category defining approach purpose-built for extracting insights from unstructured document chaos. It transforms messy inputs into structured insights that teams can trust and act on, even at scale.

Q: What kind of impact do you hope your work will have?

A: I want to help take Normain from early traction to becoming the default way experts extract precise, verifiable insights from complex documents.

My background is in building products that automate complex workflows, integrate with real-world systems, and move from pilot to production. I want to apply that here, shipping fast, building things right, and helping customers succeed at scale.

Q: What should someone know before joining Normain?

A: It’s early, and that’s the fun part.
Things move fast, ownership is real, and there are no “just build this ticket” kind of days. You’ll help shape product, architecture, and even how we work as a team.

The bar is incredibly high, and there’s a strong focus on building with intention: quality, security, and long-term thinking, even when we ship quickly. 

Q: Is there anything else you’d like to add?

A: That I’m genuinely excited about where Normain is headed.
The mission is meaningful, the timing is right, and the team is incredible. It’s rare to find a place where you can build ambitious tech, have direct customer impact, and shape something that could redefine how entire industries work. I’m here because I believe in that future and want to help make it real.

Announcements

Nov 21, 2025

Normain in the Semi-Finals of Slush 100, Europe’s Leading Startup Stage

This week, Normain was in Helsinki, Finland for Slush 2025.

Normain pitched in the semi-finals of Europe’s most coveted startup competition: Slush 100. Out of over 1,000 startups that applied, we were selected among the top 20. Our CEO and co-founder, Sara Landfors, pitched on the main stage in front of judges from General Catalyst, and Cherry Ventures, and an audience packed with operators and investors building serious companies.

Sara also spoke on two panels during the event. The first, hosted by McKinsey, featured Henrik Landgren, Co-founder and CPTO at Gilion and Lukas Saari, Co-founder and CEO at Tandem Health. The panel was moderated by Sandra Hernvall, Associate Partner at McKinsey.

The second panel, titled Tales of Silicon Valhalla: From a two-time unicorn founder to bold builders, was a deep dive into what it takes to build a startup. Alongside Charles Maddock of Strawberry Browser, Willard Ahdritz 2-time unicorn founder, and Mattias Miksche, one of Sweden's most powerful angel investors, Sara spoke about building a team that’s radically transparent but also relentlessly driven. At Normain, we’re not optimizing for comfort, we’re optimizing for output and learning. That resonated with a lot of the founders and operators in the room.

Slush is a place where people building real products come to pressure-test ideas, sharpen stories, and connect with others doing the same. We left even more energized.

Thanks to the Slush team for creating the environment. We’ll be back next year!

Announcements

Nov 20, 2025

The Precision Manifesto: Defining Extractional AI

The Precision Manifesto: Defining Extractional AI

Every professional knows this pain: drowning in files, chasing signal through noise, and carrying the pressure to deliver bullet-proof outputs.

It’s not glamorous, but it’s the backbone of real expertise, especially for consultants whose reputations depend on delivering rigorous, tailored insights. Human-led advice to clients always rests on structured analysis drawn from unstructured, messy file chaos.

Two years ago, we were finally promised a revolution for this grunt work.

We were told that AI would automate the hard and tedious stuff: digging through documents, extracting insights, structuring deliverables.

And in many ways, that promise was real.

Conversational AI like ChatGPT and Copilot delivered magically for ideation, rewording, and summarisation. The new tools redefined what was possible and became indispensable almost overnight.

But when deadlines hit and real insights needed to be extracted across 300 pages of client data, a silent truth stared us in the face: Conversational AI isn’t built for that.


Let’s be clear: conversational AI hasn’t failed. It was simply never designed for this kind of work.

And when you look closely, there are four dimensions where conversational AI inevitably breaks down:

  • Unreliable: Looks right, often isn’t.

  • Unpredictable: Same prompt, different answers.

  • Unverifiable: No sources, no trust.

  • Unrepeatable: Every output is a one-off.

In short, it feels like using a paintbrush when you actually need a sharpened pencil.

To fix this, we don’t need more clever chatbots or generalized agents. 

We need an entirely new class of AI. One built to do the work we’re actually trying to automate.

Introducing Extractional AI

Today, Normain is introducing Extractional AI.

A form of artificial intelligence that produces structured insights based on unstructured input data. It is designed to be reliable, predictable, verifiable, and repeatable, using specialized AI engines, purpose-built interfaces, and human-in-the-loop design to support high-stakes, judgment-heavy workflows.

It is built for experts who need to verify every output. For risk teams that can’t afford hallucinations. For compliance analysts who need every control grounded in real citations.

It’s AI that respects the stakes for work that firms bill for, and that experts are hired to do.

Some pioneering teams are are already piloting extractional AI today, with reported 50–80% time savings across tax, risk, compliance, governance, M&A, audit, and sustainability. But more importantly, these teams can unlock a new level of quality and depth in their deliverables, fuelling the next wave of expert work.

The philosophy behind Extractional AI

A new class of AI demands a new philosophy. We’re not launching a messaging tweak, but a fundamental rethinking of how AI should support expert work.

  1. Purpose-built AI engine
    The AI engine of Extractional AI must perform high-precision data extraction and apply hallucination-proof analysis. It must have human-like abilities to interpret structure and patterns of any input format that can be considered "unstructured".

  2. Specialized UI built for precision
    Extractional AI must feature an opinionated interface that constrains prompting, optimizes human-in- the-loop workflows, and ensures consistent, high-quality outputs.

  3. Human-first by design
    Extractional AI should be built to amplify, not replace, expert insight. It should deliver a seamless verification experience, recognizing that the most transformative AI empowers humans, not the other way around.

Extractional AI works in three steps

Extractional AI should be incredibly simple to understand. Here’s how it works in three steps.

  1. Upload your documents: Word, Excel, PDF, web links, your entire knowledge base, whatever.

  2. Define what insights you need: your structure, your logic, your analysis, your format.

  3. Extract and verify: with citations, certainty scores, and human-in-the-loop refinement.


Experience a new type of AI

Extractional AI isn’t just more accurate. It’s the first AI you can actually trust with client-facing work.

Imagine every expert spending their time where it actually matters: driving change with clients and stakeholders, because insights extraction is taken care of.

Every deliverable traceable. Every insight defensible.

Rather than being an operational efficiency lever, Extractional AI is a paradigm shift. 

When insights extraction is no longer a bottleneck, a radically different future opens up: one where expert teams move beyond the drudgery of digging and formatting, and instead focus entirely on what makes them invaluable: understanding complex stakeholder realities and driving change through tailored, high-impact insights.

Human expertise and interaction becomes the premium layer, not buried under grunt work, but elevated by it. For the first time, AI takes its rightful role: in service of experts, not replacing them. 

This is the new operating model, and those who adopt it first will define the next era of professional services.

Book a live walkthrough of Normain and see the future of  work for yourself.

Announcements

Nov 19, 2025

As AI Matures, AI Chatbots Show Their Limits

As AI Matures, AI Chatbots Show Their Limits

As failed pilots and unreliable outputs mount, companies are rethinking their use of AI. In high-stakes work, accuracy and traceability matter more than fluency. Early consulting firms are now leading a shift to a new paradigm: Extractional AI.

The shift is gaining urgency after public failures like Deloitte’s use of fabricated AI content in a government report, and MIT’s finding that 95% of AI pilots fail. Generic chatbots hit 83% adoption for trivial tasks but stall the moment workflows demand context and customization, highlighting a widening gap between what conversational AI can say and what professionals actually need. 

“The market sees the cracks,” says Sara Landfors, CEO of Normain. “Conversational AI cannot meet the reliability required for document analysis. That's why we built Extractional AI, and we’re already working with leading firms in the US and UK, including Big Fours.”

Extractional AI extracts structured, verifiable insights from unstructured data. It follows clear analysis logic to deliver consistent outputs, combining a purpose-built engine, guided interface, and human-in-the-loop design that keeps experts in control.

“Many of the concepts Normain has pioneered are truly innovative,” says Charles Forcey, CTO at Sustainability Roundtable. “It enhances auditability and trust because it is built from the ground up to be transparent and richly sourced.”

These limitations are especially critical in professional services, where Extractional AI helps teams extract values, trace conclusions, and meet regulatory demands with confidence. 

This shift extends beyond time-savings and efficiency. Extractional AI unlocks a greater movement for professional services, ensuring experts can dedicate more time to uniquely human activities like strategic thinking, client communication, and complex decision-making.

“The time we save using Normain goes directly to improving client delivery,” says Adam Turesson, Sustainability Consultant at 2050 Consulting. “It's a mission-critical tool for any expert.”

As chatbot AI falls short in complex environments, early adopters are turning to Extractional AI. This shift is transforming professional services, elevating human judgment, and making expert input more meaningful than ever.

Read the White Paper

To explore the technical and conceptual foundations of Extractional AI in more depth, we have written a full white paper on the topic.

Read the Extractional AI white paper here.

Let's Talk

If you would like to explore what Extractional AI can do for your team, you can reach us at:

📧 hello@normain.com
🌐 www.normain.com

We'd love to hear from you.

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