Launching today
Normain
Trusted insights from complex documents
682 followers
Trusted insights from complex documents
682 followers
Normain is an extraction-first AI for complex documents. It delivers structured, traceable insights grounded in source material - designed for validation and reuse, not chat-based summaries that hallucinate.
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Launch Team / Built With
Normain
Hi Product Hunt 👋
I’m Sara, Co-founder & CEO of Normain: AI built for experts to get structured, verifiable insights from complex documents. AI for extraction, not conversation.
The problem
As a former BCG consultant, I spent more time searching, cross-checking, and validating documents than doing actual analysis.
Chat-based AI didn’t help.
🛑 Answers hallucinated.
🛑 Nuance was missed.
🛑 Nothing was traceable back to source documents.
The solution
What if AI wasn’t optimized for conversation, but for extraction?
That’s what Extractional AI is: AI that turns complex documents into structured, repeatable, and source-verifiable insights you can actually trust.
How it works:
Upload your files and links
Define the insights you want to extract
Extract insights, validate & export
Why use Normain?
Trust and transparency: Every insight is traceable to the exact document, page, and paragraph. Normain structures validation so you can correct and rerun individual insights and clearly see what’s validated, uncertain, or missing.
User-friendly for domain experts: Built for professionals, not prompt engineers. No training required. Business teams in fields like audit, assurance, sustainability, and risk can start immediately.
Deep cross-document analysis: Normain analyzes PDFs, Excel files, PowerPoints, and links using encoded expert judgment, allowing it to understand nuance, context, and critical details across documents.
Built to scale: Reuse the same setup across teams or run the same extraction across multiple companies, clients, or data rooms at once.
👉 Sign up for free here, and if you comment with your use case, I’ll personally suggest how to set up your first extraction 🚀
Appreciate your support and feedback,
Sara
Normain
@sara_landfors This is so exciting. Can't wait for new users to give us feedback on the product. Best day ever! 🚀
Normain
@dennislandfors 100% agree!
Normain
@sara_landfors Lets act on all the feedback we get!
Normain
@dennislandfors YES!
Normain
@sara_landfors This is incredible! So happy to see it come to reality
Normain
@philip_ngo Same! We've been working so hard, and it's great to see it come to life.
Normain
@philip_ngo @sara_landfors Yeah, its such an amazing team effort!
Normain
@sara_landfors I have the same feeling as I had the first time I saw Avengers Endgame.
Normain
@kalle_hansson THAT really says a lot! Same!
Normain
@kalle_hansson @sara_landfors Tony Stark! 💪🤖
@sara_landfors This tackles the biggest elephant in the room for AI: Hallucinations.
Being in EdTech, I see 'chat-based' AI failing constantly because it prioritizes sounding confident over being correct. Students need verifiable facts, not just creative text.
My use case: Transforming dense academic papers and outdated textbooks into structured, up-to-date learning modules. I need to know exactly where a specific fact came from to verify it.
Does Normain support citation exports (e.g., 'Fact X [Page 12, Para 2]')? That would be a game-changer for curriculum building.
Normain
@jakub_malek1 So happy to hear Extractional AI resonates with you! You sound like you're the type of expert we've built Normain for: you need to be able to really know what source a datapoint came from!
Love the use case, thanks so much for sharing with the community. (@dennislandfors check this out!)
Normain does support this type of citation in our Trust Panel. Is there any way we could make this even more user friendly for your use case?
Normain
@jakub_malek1 @sara_landfors Super exciting! Yeah, we've put a lot of effort into our Trust Panel that gives you the verification and trust you need to put your stamp of approval on the output
@dennislandfors @sara_landfors
I wanted to ask how you validate that the AI has used the correct source and that it is not making things up? Do you use any validation mechanisms?
Or do you rely on the fact that if you give LLM a source, it will draw from it?
Normain
@sara_landfors so excited for new users to try Normain out!!
Normain
@sahba_sadeghi Same! So exciting!
Andsend
Congrats on the launch @sara_landfors and team! Reliability is key to make people trust AI, and for high stakes knowledge work it's just as important as in regulated industries. How do you intend to develop this over time, and what are some roles/tasks you will not move into, within your segment?
Normain
Thank you@per_clingweld! I love how you talk about trust in generative AI. It has been a realization and a problem we have worked hard to fix for quite some time now. And we're super happy about the product and where we are today and also where we are going. @kalle_hansson will answer your question
Normain
@per_clingweld Thanks so much! Your support really means a lot. I agree!
We're building the trust layer between human expertise and AI power. In terms of features, this means things like adding collaborative features, and making it possible to "publish" extractions. If you're a consultant, this means you can use @Normain to turn your know-how into monetizeable services. If you're working in-house, it means you can have a super simple interface for other people in your organization to analyze documents according to your pre-defined standard.
We won't go down the route of conversational AI, i.e. using chat as the interface. Extractional AI requires something way more structured.
Super curious to hear your feedback and thoughs on this, Per!
Normain
@per_clingweld
Super interesting topic! For any application, really.
Building on @sara_landfors's answer, I think some examples on what we will not explicitly move into are things where Conversational AI is the best solution. Things like explorative and creative processes. In these cases, a pure chat is probably the best interface.
But when you are looking for reliability, transparency, trust and being able to scale your solution over and over again - you need more structure. This is core to Extractional AI.
Normain
@per_clingweld
Happy to get more of your feedback when you've tried it out for some time! And I'm looking forward to share feedback on yours as well
@sara_landfors @kalle_hansson
Ripe
Congrats on the launch Normain team! 🔥🔥 curious what file extensions you currently support for uploads?
Normain
@elutz Thanks so much for the support Elin! We support all major file formats, including:
Documents: PDF (including world-class OCR capabilities), Word, PowerPoint
Spreadsheets: Excel, CSV, Google Sheets
Other formats: images, JSON, Markdown, Google Docs and Google Slides
URLs
Plan on adding support for voice messages and video in the future! Please let us know if you have a specific use case in mind? We add features and support for new file formats continuously.
Normain
@elutz Great question!
Building on what @sara_landfors shared, one thing worth highlighting is that Normain handles large documents without the AI engine losing focus, regardless of file type.
Have you tried uploading PDFs with 300+ pages? Please do and tell us all about your experience!!
Normain
@elutz Thank you so much for your congrats wishes 🎉👏🫶
Cloudthread
Congrats! Seems powerful but how do you enforce zero hallucinations?
Normain
@daniele_packard Thanks for the great question Daniele. It's a three step process:
First, we parse input documents with a state-of-the-art degree of accuracy. We preserve all detail in tables and graphics.
Second, we have a truly agentic system that really understands your questions, and grounds answers only in input data.
Third, we have Normain's Trust Panel that puts the human expert from and center in validating the AI generated output in a user friendly and structured way
Would love to hear how Normain performs on your trickiest analyses!
@Normain great launch! congrats
how did you achieve precise extractions from large documents?
Normain
@ponikarovskii Heey thanks so much, and great question! It's a three step solution:
Purpose-built document interpreter that doesn't lose a single nuance, even from poor-quality scanned pdfs, tables and graphs
Agentic engine that builds its analysis path on the fly—making sure it doesn't stop before it's sure the answer is as good as it gets
Normain's Trust panel: makes it super easy for humans themselves to validate the outputs.
Curious to hear your feedback!
Interesting! I think that asking AI and getting reliable answers is not yet a solved problem. More than seeing the sources for a human to verify facts, I would be interested for AI to point me to outputs that it's not so confident about. But also inputs that contradict each other. When we feed AI with data that is obviously already outdated, and each source contradicts the other, I would also like AI to help me filter out sources (or extracts) that are likely not reliable when you take all the sources together. Otherwise, I feel like AI output quality is just an average of the quality of the AI inputs. And I don't want just average answers!
I sense you already have some of these features, but I didn't have the time to dig in just yet :)
Normain
@ari_bajo_rouvinen This is incredibly helpful feedback for us to improve the trust panel even more. I love these suggestions. We already provide a confidence score that's tightly linked to whether sources contradict each other, but I do love the idea of going further and not just pointing out the good sources, but also pointing out the bad sources! @max_netterberg check out this suggestion!
Normain
@ari_bajo_rouvinen
Amazing to get this feedback from you. In the continued development of Normain, it will be key to continue develop the experience of verifying sources
@max_netterberg @sara_landfors
When the system detects conflicting data points across different file types, does it flag the discrepancy for manual review or does it prioritize one source over the other?
Normain
@valeriia_kuna Excellent question! Normain will flag this in the Trust Panel (shows up automatically when you click an insight). If there are conflicting data sources, Normain will put a lower confidence score (Medium or Low). We're working hard on improving the validation workflow even more, and would love to hear if you have more feedback?
See more details in 3. Extract and validate on our docs page here.
Normain
@valeriia_kuna your feedback will go straight to the product roadmap in order to make sure the Trust Panel stays at world class
@sara_landfors