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.
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 🚀
Amazing, big congrats on the launch @sara_landfors@dennislandfors and hardworking team! Reliability is incredibly important to trust our AI tools especially as knowledge workers. Being in finance, one big obstacle to fully integrate tools has been hallucinations and not fully trusting the accuracy of the date and output. Looking forward to testing more advanced analysis!
Complex documents fail in very specific ways (tables, footnotes, scanned PDFs, inconsistent terminology). Which failure modes are you optimizing for first, and how do you measure quality—coverage, citation correctness, numeric fidelity, or something else?
Congrats on the launch! I'm curious about how fast it is. Let's say I have 100 PDF purchase orders and 100 delivery confirmations and I want to cross-check which purchase orders have delivery confirmations that match precisely, and flag any discrepancies (either it was not possible to match the order with a deliver confirmation at all, or the content in the delivery confirmation does not match the purchase order details). How long time would that take, roughly? Could you make that kind of operation and response available in an API?
Totally understand if this is not a use case that fits what you're looking to build! But figured I'll ask 😄 All the best!
@dennislandfors Congrats on the launch! Really nice take on working with complex docs🚀🔥
Always been looking for a tool that helps me out from complex docs and I think Normain just nails it! Nice shot!
how did you achieve precise extractions from large documents?
Go Normain gang! Hallucinations deserve a special place in hell. Extractional AI is gonna unlock the non-digitized part of our world for automation. Love it.
They optimize for speed when knowledge workers need confidence. You can’t trust what you can’t trace, and chat based summarization blurs the line between what a document says and what a model invents.
Extraction first feels like the right architectural answer for legal, compliance, and research workflows. The product thinking here is sharp. The messaging has room to fully match it.
I’m a SaaS copywriter working in this exact space and would enjoy continuing the conversation. Congrats on the launch.
I've been trying Normain out for a couple of days now – incredible! How are you ensuring the AI is getting the right answer?
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?
Congrats on the launch. Superexited to try it out for all compliance work within plastic injection moulding industry!👌👌
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