Risk-averse GRC buyers wouldn't engage an unknown startup. Rebuilding on Azure and joining Marketplace opened doors that had been closed.
A Swedish AI startup founded in 2024 whose 'Extractional AI' platform retrieves structured, verifiable insights from unstructured documents for advisory consulting firms and enterprise teams specializing in governance, risk, compliance, and audit.
Advisory and GRC teams in semi-regulated industries require AI output to be precise and fully traceable to source material, setting an exceptionally...
“Building our product on Azure and positioning Normain on Microsoft Marketplace with other AI models has just been such a commercial facilitator for us. We’ve won contracts from major corporations that wouldn’t have been possible otherwise.”
AI platform for extracting structured data from unstructured documents.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Normain's Document analysis is part of this use case:
Related implementations across industries and use cases
Brokers were bottlenecked manually re-entering data across systems. Now, AI reads incoming paperwork and runs real-time compliance checks.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Brokers were bottlenecked manually re-entering data across systems. Now, AI reads incoming paperwork and runs real-time compliance checks.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Risk-averse GRC buyers wouldn't engage an unknown startup. Rebuilding on Azure and joining Marketplace opened doors that had been closed.
A Swedish AI startup founded in 2024 whose 'Extractional AI' platform retrieves structured, verifiable insights from unstructured documents for advisory consulting firms and enterprise teams specializing in governance, risk, compliance, and audit.
Advisory and GRC teams in semi-regulated industries require AI output to be precise and fully traceable to source material, setting an exceptionally...
“Building our product on Azure and positioning Normain on Microsoft Marketplace with other AI models has just been such a commercial facilitator for us. We’ve won contracts from major corporations that wouldn’t have been possible otherwise.”
AI platform for extracting structured data from unstructured documents.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Normain's Document analysis is part of this use case:
Related implementations across industries and use cases
Brokers were bottlenecked manually re-entering data across systems. Now, AI reads incoming paperwork and runs real-time compliance checks.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Brokers were bottlenecked manually re-entering data across systems. Now, AI reads incoming paperwork and runs real-time compliance checks.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.