Services
Production-grade AI systems beyond prompt-to-API workflows.
Deliverables
RAG pipelines, chunking strategies, and context windows designed for accuracy and cost control at scale.
Persistent user and session memory so your product improves with use instead of resetting every chat.
Automated eval suites, regression gates, and dashboards so you know when model or prompt changes help or hurt.
Multi-step agents with guardrails, tool routing, and observability — built for production, not notebooks.
Latency, cost, and reliability tuning across inference, caching, and orchestration layers.
Work is scoped in roadmap phases tied to measurable outcomes — eval scores, latency targets, or production readiness milestones — not open-ended hours.
Outcomes
FAQ
No. We integrate with the stack you use — OpenAI, Anthropic, open models, or self-hosted — and design abstractions so you are not locked to one vendor.
Yes. Many teams begin with evaluation and observability before expanding into RAG or agentic workflows.
We align on explicit metrics upfront — eval pass rates, latency SLAs, uptime, or deployment readiness — and report against them at phase close.
We embed alongside your team. Our goal is to raise the floor and hand off systems your engineers can own and extend.
Book a call to discuss your product stage and what Phase 1 should look like.
