Autonomous Agents
Agents that operate tools, APIs, and documents on your behalf.
- Workflow and back-office automation
- Tool-use with scoped permissions
- Human approval checkpoints
Sector C — Research
Research Programs
Four active programs, one discipline: build AI that behaves the same in production as it did in the lab.
Data Containment
Your knowledge, retrievable — never leaked.
- Retrieval-augmented search
- Document ingestion pipelines
- Access control & data lineage
Model Lab
Choosing and shaping the right model for the task.
- Custom evaluation suites
- Fine-tuning & distillation
- Cost / latency benchmarking
Secure Deployment
Getting to production — and staying there.
- On-prem & private-cloud hosting
- Monitoring, alerting, fail-safes
- Incident & rollback procedures
Test protocol
How an experiment runs
- PHASE 01
Hypothesis
We define the problem, the success metric, and what "failure" looks like before writing a line of code.
- PHASE 02
Test Chamber
A contained prototype on real (sanitized) data, measured against the baseline.
- PHASE 03
Containment Review
Security, privacy, and failure-mode review. Nothing leaves the chamber without sign-off.
- PHASE 04
Deployment
Staged rollout with monitoring and a documented off-switch.
bm@sector-c:~$ ./run_experiment --id 0x4C
[ok] hypothesis loaded
[ok] dataset sanitized · 0 PII fields
[ok] baseline accuracy ....... 71.4%
[ok] candidate accuracy ...... 93.8%
[ok] containment review ...... PASSED
[ok] anti-mass spectrometer .. disengaged
> ready for deployment_
Open proposal
Have a problem worth testing?
Bring us the hypothesis. We'll bring the lab.
Submit a Proposal