01
Ops Intelligence
Live dataAnswers & alertsFastest to value
Our most-built system, productized. A layer over your live operational data that answers what people ask — who’s working on what, where a case stands, what changed this week — and surfaces what they should have asked. Ask it directly, or let it reach you when something moves. No dashboard to configure, no analyst to pull in, no week of training.
- Answers on demand, resolved against your systems of record — including the questions nobody ever built a report for
- Alerts nobody had to ask for — SLA breaches, stalled cases, and exceptions surfaced when they happen, not at month-end
- Recurring reviews that assemble themselves from current data, instead of being rebuilt by hand every week
- Role-based access throughout, so people see only what they should — and can use it on day one without training
02
Custom AI Systems
AgentsPipelinesIntegrationsProduction
When the problem doesn’t fit a template, we build the system around it: ingestion pipelines, model development, APIs, and the reliability patterns that keep it running. Engineered like products, not demos — and we transfer the knowledge so your team owns the runway.
- Architecture shaped around your data, constraints, and compliance requirements (SOC 2, GDPR, and financial-services obligations where they apply)
- Custom model development, fine-tuning, and evaluation
- Production reliability, monitoring, and CI/CD baked in
- Knowledge transfer so your team can maintain and extend
AI agents
Agents are one shape this takes. We design and deploy autonomous agents across internal operations — with guardrails, observability, and hand-offs to humans where it matters. Not chatbots: purpose-built agents that reason and act inside your existing toolchain, with policy enforcement and audit trails on every step.
Separate engagement
Technical Due Diligence
We also review systems we didn’t build — a fixed-scope read on a codebase, an AI system, or a build plan, for founders raising, investors deploying capital, and acquirers. Different buyer, different engagement, so it has its own page.
How to start
Not sure yet? Start with a sprint.
Every engagement begins the same way: a discovery session, then a working proof-of-concept within 24 hours. You get written recommendations, a prioritized roadmap, and an honest feasibility read — including when AI is the wrong tool. It’s fixed-scope and one-time, so you can find out what’s worth building before committing to a build.
Not sure which service fits?
Tell us where you are on the roadmap — we’ll recommend the right engagement. If the honest answer is “you don’t need us yet,” we’ll say that too.
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