We are a team of visionary engineers and AI researchers dedicated to building secure,
scalable, and intelligent solutions that transform how businesses operate in the digital age.
To democratize artificial intelligence by creating secure, accessible, and powerful AI solutions that accelerate engineering processes while maintaining the highest standards of data protection and system reliability.
We believe that AI should amplify human potential, not replace it. Our bespoke solutions are designed to work alongside engineering teams, enhancing their capabilities and enabling them to focus on innovation rather than repetitive tasks.
Our diverse team of experts brings together decades of experience in AI, engineering, and security to deliver exceptional results.
We're always looking for talented engineers and researchers who share our passion for advancing AI technology.
Get in TouchThe Enginius suite transforms documentation bottlenecks into smart, scalable systems.
Driving speed, compliance, and innovation across engineering teams.
Reduce time to find critical technical information by 90%.
(Semantic search across specs, manuals, standards)
Accelerates engineering insight by performing semantic search across unstructured technical documents (manuals, standards, test data, etc.), surfacing the most relevant content in seconds.
Auto-generate engineering documents & reports from complex products. Cut authorship time by 70%.
Drafts complex engineering documents—strategic plans, requirements, specifications, test plans, reports, SOPs—based on source inputs like standards, requirements, and context. Saves engineers hours of formatting, synthesis, and writing.
Accelerate technical reviews and catch issues early. Reduce review cycles by 70%.
Accelerates and automates engineering reviews—requirements validation, document QA, checklist audits—by identifying gaps, inconsistencies, and errors across structured and unstructured content.
Extract structured models from unstructured specs, PDFs, and test data. Eliminate 90% of manual modeling effort.
Generates models, simulations, or structured inputs from natural language specs, legacy PDFs, test data, and diagrams—bridging the gap between documentation and modeling tools.