Fresh Takes & Updates

Today, Normain is launching its API. For the first time, the analysis that has always lived inside the Normain platform can run directly inside the systems our customers already work in.

The engine behind Extractional AI

Since launch, Normain has been the engine for Extractional AI, a system built specifically to produce structured, verifiable answers from complex source material. Teams bring in the documents that underpin their work, define the analysis they need, and receive results in which every answer traces back to the exact sources they came from. The outputs are reproducible, the sources are attached, and every step is auditable. Teams in GRC, audit, assurance, and advisory rely on that engine for exactly the kind of high-stakes, judgment-heavy analysis where their reputations are on the line.

That engine is not changing. It is the foundation everything in Normain runs on. The API simply opens a new door to it.

Today, Normain runs where you work

Until now, reaching that engine meant opening Normain. The API turns it into something your own software can call. A team can create a secure space for a set of documents, push those documents in straight from the systems they already run on, and run the same deep, cross-document analysis they would run in the app, all in plain language. The result comes back structured and fully sourced, ready for their own product, pipeline, or internal tools to act on, with every answer still tracing back to the exact passage it came from.

"The API is how Normain becomes part of the systems our customers build their work on, not just a tool they open. The same precision, the same sourcing, and the same standard of trust, now available wherever the work actually happens."
— Sara Landfors, CEO of Normain

Built for the teams that depend on it

A contract review team can connect its document pipeline to Normain, so every new agreement is analysed against the regulations and standards that govern it the moment it arrives, with the sourced result delivered straight back into their own platform. A compliance team can route incoming policy documents through Normain automatically and pull structured findings into the system they already track their work in. A diligence team can run the same cross-document analysis across an entire data room from inside their own tooling. In each case the engine and the standard of trust are the same. What changes is where the analysis runs.

Try it now

We are rolling the API out to a select group of customers first. If you want your team to be among them, reach out to our sales team and we will walk you through the commercial and technical details.

Today, Normain is launching projects and workflows. This is the second major release in less than a week, and it is the biggest update we have ever made to Normain.

Two years of fine-tuning Extractional AI

Since launch, Normain has been the engine for Extractional AI: a system built specifically to produce structured, verifiable answers from complex source material. Teams upload the documents that underpin their work, define the structure of the analysis they need, and receive insights where everything traces back to the exact source it came from. The outputs are reproducible, the sources are attached, and every step of the process is auditable.

Teams in audit, compliance, sustainability, and advisory have relied on that engine to handle the kind of complex analysis where their reputations are on the line. Where general-purpose conversational tools fall short on reliability and verifiability, Normain has built precisely the opposite: a system designed for high-stakes structured work, where every answer can be traced, reproduced, and defended.

That engine is not changing. It is the foundation everything in Normain runs on.

Today we go end-to-end

Today, we are taking that engine to an entirely new level. With the launch of Normain Workflows, it’s now possible to chain extractions together.  Previously, a project could only consist of one extraction, that is, one single structured analysis. Now, with this new launch, it can contain a sequence of as many steps as the work requires: multiple analyses building on each other, team-input steps where reviewers add context or sign-off, and final deliverables generated directly from the results of earlier steps. The steps can sit in any order, and any step is able to read from the outputs of any previous step. 

This is the biggest leap Extractional AI has taken since we built the engine itself. For our customers, this means more AI power inside every engagement, simpler set up, and fully scalable workflows running end to end inside Normain. Human review enters only where the work actually needs it.

"This is the moment Normain went end-to-end. The same precision and the same standard of trust our customers depend on, now spanning everything real expert work  contains, from the first analysis to the final deliverable."
— Sara Landfors, CEO of Normain

From the first analysis to the final deliverable

A project in Normain can now mirror the actual shape of the work, however complex. Let’s look at three examples

Regulatory gap analysis
Start in Normain by pulling every relevant rule change from a source document, e.g. a regulatory update.Then, set up a second extraction to compare the client's current policies against those changes. Lastly, let Normain produce two final deliverables: a gap-analysis memo for the engagement team, and a client-facing summary as a Word document.

Peer benchmarking
A peer benchmark works the same way.In order to compare one company against thirty of its peers on a topic like climate disclosures or governance practices, create an extraction that pulls the comparable data from each peer's report. Set up a final deliverable to bring everything together into a benchmark report.

Internal audit
An internal audit fits the same logic. First, take the firm's annual audit plan and produce a planning memo for the specific audit. Secondly, create an extraction that builds the detailed audit program. Third, let Normain populate that program with evidence from steering documents, interview notes, and other inputs, leaving the audit team with documented analysis and audit evidence ready for reporting. A final extraction step maps the identified observations into a draft report, with each observation written up as a description, risk, and recommendation.

This is just scratching the surface. Normain is highly flexible and configurable for any type of expert work that requires document analysis.

In every case, a single project holds the entire sequence. Every step is traceable, every output is verifiable, and every source attached. The chat, the conversational interface we launched last week, also sits across the whole project. It is aware of every step and the data inside it and can configure new steps, summarize earlier results or extend the workflow on demand. What used to live across a patchwork of exports, handoffs, and lost context now lives inside one Normain project.

See it for yourself

Projects and workflows are live for all Normain users from today. To try it on a real project of your own, get started on Normain for free here.

Today, Normain is launching  the chat. This is the biggest update to Normain since our launch.

For teams in audit, compliance, sustainability, and other high-stakes fields, this is a significant shift in how a Normain extraction comes together. Defining the right questions, configuring the right columns, mapping the structure of an analysis to what the work actually requires. All of that now happens through a single conversation.

A conversational layer on top of Extractional AI

Chat in Normain is not a chatbot, and it does not function the way conversational AI has been used elsewhere in the industry.

It is a conversational interface that sits on top of the same deterministic, structured engine that has always powered the Normain product. When a user describes a piece of work in chat, the system does not generate an answer. It builds a real Normain extraction, with the questions, columns, and instructions configured according to the request, and then runs that extraction through the engine the way any extraction has always been run.

The output is what the output has always been in Normain. Each result is traceable to the source paragraph it came from. Sortable, filterable, and exportable. The same audit trail Normain customers have come to rely on.

What changes is how that structure gets built.

"This is the biggest update we have ever shipped to Normain. It is also the moment we start to deliver fully on the vision we set out with: making Extractional AI accessible to every expert team that needs it. Our customers have always had extraordinarily high expectations of Normain, and we are thrilled to be meeting them with chat."

—Sara Landfors, CEO of Normain

Why structure still comes first

The Precision Manifesto identified four failure modes of conversational AI for serious work. Unreliable. Unpredictable. Unverifiable. Unrepeatable. Those failure modes remain the reason teams in audit, compliance, and sustainability cannot stake their reputations on general-purpose chat tools.

Chat in Normain is not subject to those failure modes because the conversation does not produce the output. It only configures the engine that does.

The engine remains more  deterministic than the chat. The sources remain attached to every answer. The same instructions, run through the same configuration, produce the same result.

The conversation is the interface. The structure is what it has always been.

Check it out now

Chat is live for all Normain users from today. Watch it in action here.

To try it for yourself, get started on Normain for free.

The most valuable thing AI can do is not to replace expertise, but to multiply it.  Black Sun Global has spent over 20  years developing a proprietary annual report benchmarking methodology that sets the standard for how listed companies understand their position relative to peers. Normain is now the engine that accelerates it.

Black Sun Global is one of the UK's leading stakeholder engagement consultancies, advising listed companies on how they report, communicate, and position themselves with stakeholders. A deep understanding of the competitive space is a crucial foundation: reading, extracting, and comparing data across hundreds of annual reports to help clients understand where they stand relative to peers.

The challenge is not just volume, but complexity. Annual reports distill 12 months of performance, programmes and strategy into a single volume running to hundreds of pages of data and narrative disclosures. Tracking themes, extracting comparable data points, and doing so consistently across a large universe of companies demands expertise, precision, and significant time. For years, this was a manual process.

“Normain is a force multiplier. It isn’t a productivity hack - it’s a controllable, rigorous, traceable AI tool that amplifies the value our reporting and communications experts can build for our clients. Normain allows us to multiply decades of human insight by the scale and speed of AI.”

—Ian Roe, CEO, Black Sun Global

The competitive advantage Ian describes is built on an operational shift. Within days of onboarding, Black Sun's research analysts were working directly inside Normain, applying their proprietary methodology at a level of granular control, speed and verification the manual process simply could not support. The platform handles large PDF files without restriction, including annual reports filled with graphics, tables and charts, with no workflow compromises.

"A 35% reduction in research time per benchmark wasn't something we dared to hope for when we introduced Normain. We were wrong to doubt it! We can now extract, cross-reference, and verify data across hundreds of data points in the time it used to take to process a handful."

—Nadya Kamenkovich, Black Sun Global

The "extract with sources" capability proved particularly valuable for this work, where traceability matters as much as the finding itself. For a consultancy whose reputation rests on the integrity of its analysis, being able to show precisely where every data point originates is not a nice-to-have. It is table stakes.

Multiple analysts across the Black Sun team now use Normain daily. What began as a single use case is becoming a core part of how the team delivers its research, at a quality and scale that was not previously possible.

This is what Normain was built for: not to replace expert judgement, but to give it more reach.

Running FTSE 100-scale benchmarking manually? Book a demo to see what your team could do with Normain.

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.

We're excited to announce that Normain is now live on Product Hunt!

We spent 2025 in the field: deploying with expert teams, signing enterprise contracts, running hundreds of customer sessions. The right solution has required serious engineering: the latest models, deep design and user testing, top product talent. All while staying close to our customers and business users to deliver something radically reliable and trustworthy.

Today, we're introducing EXTRACTIONAL AI publicly: a new approach to AI built specifically for the experts. A type of purpose-built AI that doesn’t invent or smooth over complexity. For those working with high-stakes decisions, where being right matters more than sounding right.

In fields where accuracy is paramount, whether you're in fields such as audit, compliance, legal, finance or sustainability, your AI tools should deliver what's true. Normain's Extractional AI produces insights that are traceable, verifiable, and trustworthy, grounded directly in your real documents and data.

Ready to experience the difference? Now you can try Normain for free, or get 50% off your first month on any paid plan through Product Hunt.

Check it out here.

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.

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/