Reliable AI for important decisions
Ensures your AI answers from fact, and tells you what it needs when it can't.
We ground AI in the right facts, making it compact, efficient, and domain-specific.
More is not better. Better is better.
Grounding is the foundation of reliable AI.
How it works
AI that answers from fact and shows its work
01
Ground in your sources of truth
Your documents and data, not the open internet.
02
Reason over fact
Every step runs on verified source material.
03
Cite, and let you check
Every claim links back to its source. Open it and follow the logic.
Real questions, from real domains
Grounded in your own knowledge, not the open web.
Energy & manufacturing
"This compressor keeps tripping on high vibration at part load. What is the likely cause, and the fix, given this unit's own service history?"
Ranks the likely causes against this unit's own service records and the OEM manuals, and cites every source.
Engineering & legal
"Across our eight thousand internal documents, what do our own standards actually require here, and where do they contradict each other?"
Pulls the governing clauses, surfaces where they conflict, and cites every document.
Robotics
"The robot has to complete this task in an environment it has not seen before. What does it actually know that applies here, and what is it missing?"
Separates what the machine knows and can cite from what it can't, and flags the gap.
Medicine & life sciences
"We need to neutralize this pathogen. What approaches are viable across the published research and our own proprietary studies and assay results?"
Lays out the viable paths across the public literature and your own studies, each one cited.
Industries
Built for domains where wrong is unacceptable
Energy
Where a confident wrong answer is operational risk, not embarrassment.
Manufacturing
Specs, procedures, and quality records, reasoned over without losing fidelity.
Construction
Drawings, codes, and archives where traceability to source is non-negotiable.
Aerospace & Defense
Mission and safety data where a wrong answer is measured in lives.
Robotics
Machines that act on what they know. Grounding is the line between autonomy and guesswork.
Legal tech
Where a fabricated citation is a failure, not a footnote.
Medicine
Clinical and research corpora where provenance decides whether an answer can be trusted.
Digital Twins
Live models that answer in real time, where speed is paramount and the twin is grounded in its reality in the world.
The grounded brains of the autonomous world, where machines act because people trust what they know.
Get in touch
If this is intriguing, we'd love to talk.
We are selective about our first pilots. Tell us how you'd like to be involved.