Reliable AI for real business problems
Automate the busywork with AI that verifies itself
Manual work costs you time. AI you can't trust costs you money. We build self-checking AI systems that automate your biggest bottlenecks, including:
- Content engines that catch their own errors Workflows that research, write, and check every claim against its source before you hit publish.
- Reliable voice and chat assistants Multi-modal AI that handles complex customer conversations inside the rules you set.
- Knowledge and data automation Pipelines that turn hours of meetings, video, or raw data into structured reports and automated alerts.
You don't need to already understand AI. You just need a problem worth solving.
What we do
From your first assessment to ongoing support.
01 / DIAGNOSE
What you walk away with
02 / BUILD
What you walk away with
03 / BUILD
What you walk away with
04 / BUILD
What you walk away with
05 / VERIFY
What you walk away with
Proof in production
Systems we have designed, built, and shipped.
Portfolio
Three systems you can try, read, or watch for yourself.
Live
Multi-Agent Pipeline
FactLoop Newsroom
Type a topic in any language and watch it research, write, and fact-check a sourced article, live.
0.794
Held-out kappa
97.2%
Retrieval Hit@4
Case study
RAG Evaluation
Driftboard RAG Eval
An evaluation framework for RAG, stress-tested against a fictional knowledge base. It measures what the system does when it has no answer, and checks its own judge for blind spots.
Case study
Agent Permissions
DeskLoop
An IT and HR helpdesk agent whose permission check sits outside the model, in a tool server of its own. Persuading it gets you no further, and a confirmation belongs to one action and nothing else.