We build across the whole stack.
From foundation models to the operational plumbing that keeps agents alive at 2am. We run our own agentic operations on this stack, so every layer below has been debugged in a live business, not a demo.
Model-agnostic by policy. We select per task on quality, latency, and cost, route across tiers, and re-benchmark as models move. No provider loyalty, no resale margin.
Our core competency. We run our own durable agent runtime in live operation: work queues with retries and backoff, bounded delegation, human approval gates, and a full audit trail per run. We also build on the major frameworks when they fit the client's estate.
Retrieval quality decides answer quality. We design chunking, hybrid search, and reranking against evaluation sets, not vibes, and treat the client's documents as a governed source of truth.
Boring-first infrastructure: Postgres with pgvector until the workload proves it needs a dedicated store. Embedding models chosen per corpus and language, benchmarked on the client's own data.
Agents earn their keep inside systems of record. We build typed tool surfaces and Model Context Protocol servers against ERPs, CRMs, document stores, and data warehouses, with least-privilege access per tool.
Durable state over clever prompts: versioned sources of truth, per-agent memory with retention rules, and idempotent operations so a retried step never double-executes.
Consequential actions are human-gated by design. Tenant isolation, allowlisted tools, prompt-injection defense on untrusted content, PII handling, and an approval queue with an idempotent decision path.
Every run is metered and inspectable: per-agent token accounting, event streams, and acceptance criteria agreed before a build. Evals run against real cases before anything touches your operations.
Agents live inside operational plumbing: scheduled cycles, self-healing queues, stale-work recovery, and escalation to a named human. This is the layer where pilots usually die; it is where we start.
Postgres before a new database, one queue before an orchestration platform. Novelty must earn its operational cost.
Components are benchmarked on your data against acceptance criteria agreed in advance. A demo is not a result.
If a layer cannot produce an audit trail your compliance team can read, it does not go into a regulated workflow.
The stack lands in your cloud and your systems of record, documented, with a transfer path to your team from day one.
The stack moves monthly. Our agents track it daily, our frameworks absorb what survives contact with a regulated business, and the write-ups land in Insights.