Observability, evals, prompt management, orchestration, memory, inference, edge, RAG governance, AI security. The stack we run our own engagements on — installable for teams that need to run their own.
The Precision pillar made concrete. Every production agent we ship runs on top of this stack — and every piece of the stack can be installed standalone for teams that have agents but no operating model around them.
Token-level traces, prompt fingerprinting, regression detection. See what changed and why.
Custom eval harnesses on your real traffic. Reproducible. CI-bound. Failure-mode tagged.
Prompt registry with version pinning, diff history, and rollback. The way you treat code, applied to prompts.
Verification-gated tool calls. Replay-on-replay. The agent's plan is part of the audit trail.
Persistent, permissioned memory across sessions and agents. Knows what it's allowed to remember; forgets the rest.
Self-hosted inference on customer-owned GPUs. Quantization-aware. Latency-budgeted. Cost-instrumented.
Models that run on the edge — retail, warehouse, vehicle. Sync, drift detection, OTA model updates.
Permission boundaries at the document row. Citation-required outputs. Reindex-on-demand when policy changes.
Prompt-injection defense, jailbreak harness, exfil monitoring, secret-redaction. Built into the orchestration layer.
Custom eval harness on 220 real-traffic prompts × 4 model variants. Caught a 14% accuracy regression on a routine model swap before deploy.
HIPAA-bound retrieval over 4.2M clinical docs. Citation-required outputs. Permissions enforced at row level, audit log per query. Reindex SLO under 90 minutes.
Self-hosted inference at the edge with OTA model updates and drift detection. p95 inference budget held at 120ms across the fleet.
30-minute scoping call. You leave with a written scope and a target ship date — or with an honest “we're not the right firm.”