We don't ship demos. We ship systems.
Five layers of one delivery stack, not a menu of services — specialized agents, measured against real evaluations, grounded in your own sources, and wired into the systems you already run. Most engagements use all five.
Agentic Systems
Orchestrators that route work to specialized agents with clear handoffs between them — reviewers, auditors, extractors, each scoped to a narrow job. MCP-native, and built to be debugged rather than demoed: when something goes wrong, every step in the chain is inspectable.
Where we've applied it: GovGig's Reviewer → Completeness Auditor → Senior QC compliance chain.
Evals & Observability
Regression-gated model changes, traced failures, and accuracy measured before and after a system reaches production. A prompt change or a model swap becomes a reviewable change with a number attached — not a leap of faith you find out about from a user.
Context Engineering
The right context at the right moment, drawn from curated, expert-verified sources — never the open web. Retrieval is one tool inside that discipline, alongside how context is selected, ordered, and bounded, so answers stay consistent across sessions and users.
Where we've applied it: GovGig's grounding to FAR, DFARS, and EM385-1-1 reference corpora.
Document Intelligence
Page-level and attribute-level analysis pipelines that route content to the right model — text extraction for dense specs, vision models for drawings and photos — to keep large-document processing accurate and cost-efficient at scale.
Where we've applied it: GovGig's attribute-level page-sweep across federal submittal packages.
Production Integration
Event-driven pipelines into the tools and databases you already run — queues, internal systems, operational stores. AI that touches your systems rather than sitting beside them as a chatbot, including the forecasting and anomaly-detection work that turns historical and streaming data into forward-looking signal.
Where we've applied it: GovGig's SQS-driven async pipeline into PostgreSQL.
How we handle what you hand us
The same principles that hold up under a federal compliance review are the default on every engagement, not a tier you have to ask for.
Grounded, not guessed
Every system we ship retrieves from curated, expert-verified sources you approve — not the open web — so answers hold up when someone checks them.
Scoped access, not blanket access
Agents run under role-based permissions enforced per query — the same access model as your best engineers, not a service account with the keys to everything.
Every action logged
Every query and action a system takes is written to an audit trail your team can review. Nothing happens in a black box.
Your data stays yours
We build on direct model-provider APIs under standard commercial terms — your data isn't used to train anyone's foundation model.
Have a system that needs to think?
Let's talk about the system that turns it into a path forward.