AI Sprint
A focused 2–4 week engagement to prototype an AI feature, prove value, and de-risk the build.
- Working prototype
- Clear build plan & estimate
We combine three core practices into one accountable engagement — so strategy, engineering, AI, and operations pull in the same direction from day one.
Off-the-shelf tools bend your business to their assumptions. We do the opposite — engineering web apps, mobile apps, APIs, and internal platforms around how your work actually happens, then hardening them for scale.
From a first MVP to enterprise-grade systems that thousands of users depend on.
Responsive web, cross-platform mobile, and clean, documented APIs and integrations.
Automated testing, code review, and clean architecture so the software stays maintainable.
A few of the things we build most often.
We build copilots, retrieval-augmented assistants, and autonomous agents that connect to your data and systems — and are engineered, evaluated, and governed to be trusted in production.
Multi-step agents that take real tasks end to end — triage, drafting, research, resolution.
Assistants grounded in your documents and data, with citations and controls you can trust.
Systematic evals, monitoring, and safety rails so quality is measured, not assumed.
# retrieve → reason → act → verify ctx = retrieve(query, azure.search) plan = reason(ctx, tools=[crm, email]) act = execute(plan, guardrails=strict) verify(act, evals=golden_set) ✓ 97% eval pass · human-in-loop ready
Whether you're starting fresh or carrying decades of legacy, we architect, migrate, and modernize on Microsoft Azure — for resilience, security, and cost you can actually control.
Containers, serverless, and managed services designed for scale and observability.
Move off aging systems with a plan that de-risks each step and keeps you running.
Automated pipelines, infrastructure as code, and monitoring so releases are boring — in a good way.
A pragmatic, well-integrated slice of the platform.
Short cycles, working software every week, and complete transparency — from discovery through long-term operations.
We map the problem, users, data, and the fastest path to real value.
Product, architecture, and an AI strategy scoped to ship — not to sit in a deck.
Senior engineers ship in short cycles with working software every week.
Automated delivery to Azure with security, testing, and observability baked in.
We run and evolve it — new features, better models, lower cost — as a partner.
Pick the shape that fits where you are — we can move between them as your product grows.
A focused 2–4 week engagement to prototype an AI feature, prove value, and de-risk the build.
A dedicated team that takes your product from concept to production and iterates with you.
We build it, then run it on Azure — evolving features, models, and cost as an ongoing partner.
Tell us the outcome you're after. We'll help you shape the right scope — and be honest if we're not the right fit.