AI-native, not AI-wrapped
We don't bolt LLMs onto legacy code. Every system is designed agentic-first — reasoning, planning, and acting as a first-class architectural concern.
Agentic workflows, LLM-powered products, and cloud-scale AI platforms — designed from the ground up as AI-native. We turn cutting-edge models into production systems your business runs on.
Multi-agent systems · RAG pipelines · LLM orchestration · AI-native apps · Agentic workflows
LLM orchestration, RAG, agentic loops.
AI-native apps, APIs, data pipelines.
Scalable AI infra on AWS, GCP, Vercel.
Book a 30-min intro call.
Impressive demos, hallucinating agents, cloud bills that surprise the CFO. The gap between a GPT wrapper and a production-grade AI-native system is where most teams stall — and where we begin.
We don't bolt LLMs onto legacy code. Every system is designed agentic-first — reasoning, planning, and acting as a first-class architectural concern.
Prompt versioning, token budgets, eval suites, hallucination guards, and cost dashboards baked in — not bolted on after the first incident.
Every agentic system we deliver runs under real traffic with rollback, runbooks, and evals. Clean code, written docs — no lock-in to us.
Week engagements
From first prompt to production-grade agentic system. Not quarters — weeks.
Systems shipped
LLM-powered products, agentic pipelines, AI-native platforms — shipped.
Junior handoffs
Senior engineers ship the work. You always talk to the people building it.
Big agencies move slow. Freelancers vanish. In-house hires take a quarter to ramp. Here's what changes when a small senior team owns the problem end-to-end.
★ Best choiceCode Origin | Big agency | Freelancer | In-house hire | |
|---|---|---|---|---|
| Multi-agent expertise | ✓ | ✕ | ✕ | ✕ |
| Time to first prod ship | 2 – 4 wks | 2 – 3 mos | variable | 1 – 2 qtrs |
| Cloud architecture | ✓ | ✓ | ✕ | DEP |
| Senior engineers only | ✓ | ✕ | ✓ | ✕ |
| Clean handover | ✓ | ✕ | ✕ | n/a |
| Ongoing partnership | ✓ | ✓ | ✕ | ✓ |
Agentic systems need more than a good model. They need a solid app underneath and the cloud to run it reliably — we build all three.
Multi-agent workflows, LLM orchestration, and RAG pipelines — designed to reason, plan, use tools, and act autonomously at scale.
LLM-powered apps, APIs, and data pipelines built AI-first — not retrofitted. Production-grade from day one, owned by your team.
Scalable cloud platforms tuned for AI workloads — GPU pipelines, vector stores, inference APIs — observed and cost-controlled end-to-end.
Constraints, data, users, and the ugly parts of your current stack. One week, written up.
Topology, contracts, failure modes, eval plan. Reviewed with your team before code is written.
Weekly increments behind feature flags. Real data, not demos. You see progress every Friday.
Production rollout with rollback, runbooks, and on-call. Your team owns it; we're on retainer for the hard weeks.
Tell us a little about what you're building. We reply within one business day — typically with a few sharp questions and a proposed next step.