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300 AI engineers between your roadmap and production.

For US SaaS and tech companies, we are the AI engineering partner: agents, RAG, evals and MLOps taken from prototype to reliable production — by dedicated squads embedded with your team, ramped in five business days.

What holds SaaS companies back

The gap between your AI story and your AI system

AI roles stay open for months

LLM and agent engineers are scarce and expensive — while your roadmap, your customers and your investors wait.

POC works, production doesn't

The demo impressed everyone; hallucinations, latency, missing evals and silent failures keep it from shipping.

Inference costs scale with usage

Every new customer makes the agent loop more expensive. Without model routing and optimization, margins erode as you grow.

Systems we build

Production AI engineering, embedded in your team

SAS-01

Agent engineering & workflow redesign

Multi-step agents with tool use, MCP integrations and orchestration — and the workflow redesign around them that determines whether they create value at all.

SAS-02

RAG & retrieval systems

Retrieval pipelines, vector search and evaluation frameworks built for production reliability, permissioning and freshness — not demo day.

SAS-03

LLMOps & AI reliability

Evals, regression suites, monitoring, guardrails and audit logging as a continuous practice — available as a managed service after launch.

SAS-04

AI cost optimization

Multi-model routing, caching and small-model substitution that cut inference spend 40–70% — a fast, low-risk first engagement for teams already in production.

SAS-05

Dedicated AI squads

3–10 engineers with LLM, RAG and MLOps experience — your tools, your standups, your roadmap. Full product engineering (frontend, backend, cloud) alongside AI.

SAS-06

Compliance-ready AI for regulated verticals

SOC 2 and HIPAA-aligned engineering, audit trails and private or self-hosted model deployment for HealthTech, FinTech and LegalTech products.

Ramped in 5 days

Hand-picked squads join your team within five business days and ship in two-week sprints — AI velocity without a six-month hiring cycle, and without gambling your margins on unoptimized inference.

Next step

Put an AI squad on your roadmap this month

Start with a free 30-minute assessment — you leave with a roadmap either way.