Forward-deployed. Audit → Build → Operate.
We don’t sell advice and walk away. We embed in your operation, build the production system, and stay accountable for the result. One partner, the whole lifecycle, no handoffs.
Three phases. Learn it once.
Every project follows the same model, so you learn it once and always know what phase you’re in.
Find the work worth automating.
A short, paid diagnostic (the AI Transformation Sprint) that ends in a deployable pilot and a costed plan — not a roadmap. We map the workflow, score the ROI, and tell you what to build first.
Ship the production agent in your stack.
An embedded pod builds inside your systems. Sprints, weekly demos, evals before deploy, observability from day one, structured outputs, guardrails, fallbacks. Working software in weeks.
Stay on the hook.
Monitoring, eval regressions, prompt versioning, drift management, vendor-change response, quarterly roadmaps. Increasingly tied to your KPIs.
We work where the work happens.
Forward-deployed is how the best AI teams now deliver: engineers embedded inside the client’s environment, building agentic workflows where the work already runs, so value reaches production before any big rollout. It’s borrowed from the way Palantir and the AI-natives deliver — and it’s how Gigabit has always worked. Same sprint board, same Slack, same code-review bar. Your stack, your data, our engineers.
What we put first
Engineering before content
We were engineers first.
Pricing before pitching
The number is on the page.
Evals before deploy
We prove it works before you trust it with production.
Production before pretty
A working system beats a beautiful mockup.
Adoption before scope
One workflow in production beats ten in a plan.
Honesty before optimism
We tell you what won’t work, too.
Let’s put a forward-deployed team on your hardest workflow.
A 30-minute call is enough to scope where Audit → Build → Operate starts for you.