Four ways to put agents inside your company.

Agents that qualify leads, process documents, call APIs, decide, and escalate only when necessary. Multi-step reasoning with tool use, RAG, and human-in-the-loop where it matters.

• Multi-step planning & tool orchestration
• Custom RAG over your knowledge base
• Observable runs, replayable, auditable
• Human-in-the-loop guardrails

Best fit — Ops, sales, or support teams drowning in manual work

Zero to revenue-ready in a month. Full stack with auth, payments, AI core, and CI/CD. Built to validate the market, not impress a demo audience.

• Full-stack app with AI core
• Auth, payments, admin panel
• Cloud deploy with CI/CD
• Investor- or customer-ready

Best fit — Founders validating a market, teams that need to ship fast

RAG pipelines, multimodal models, fine-tuned LLMs, computer vision. We don't bolt AI onto legacy systems — we redesign the architecture so AI is the system.

• Production-grade architecture design
• Integrates with existing pipelines
• Horizontal scaling from day one
• Full handoff with documentation

Best fit — Engineering teams with a specific AI problem to solve

We map every process in your operation, score each by automation potential and revenue impact, and deliver a prioritized roadmap. Most clients find 3–5 high-impact wins they hadn't considered.

• Full operations mapping and scoring
• ROI-ranked opportunity matrix
• Implementation roadmap with timelines
• Executive-ready presentation

Best fit — Mid-size to enterprise teams exploring where AI fits