Engagements that ship, priced to the outcome

Most teams running production AI pay 3–10x what they should. We audit prompts, model routing, caching, batching, and fallback chains, then ship cost-aware routing and observability.

Outcome

30–60% LLM cost reduction in 4 weeks, documented

Timeline

4–6 weeks

Pricing

$15–40k, or outcome-priced (25% of first-year savings)

We map your codebase against what actually makes it AI-coding-ready — module boundaries, test coverage, type strictness, docs, CLAUDE.md / rules files, and MCP potential — and quantify how far off you are.

Outcome

A scored report + prioritized remediation roadmap

Timeline

2–3 weeks

Pricing

$10–25k audit (often leads to remediation)

We standardize how your team uses Claude Code / Cursor / Copilot — custom slash commands, agent definitions, MCP servers for your internal tools, golden-path templates, and code-review hooks.

Outcome

A working internal AI dev platform your team adopts

Timeline

6–10 weeks

Pricing

$40–120k build, $5–10k/mo tuning

Most teams shipped AI features with zero evals. We build eval harnesses, regression suites, online quality monitoring, and A/B infra for prompts and models.

Outcome

An eval platform wired into your CI/CD

Timeline

4–8 weeks

Pricing

$30–80k build + $3–8k/mo ops

We expose your internal systems — Datadog, Linear, databases, deploy tooling — to AI agents over MCP, so your devs can work against company infra safely.

Outcome

Internal MCP servers with auth, access control, audit logs

Timeline

3–6 weeks

Pricing

$25–75k per build, $3–8k/mo maintenance

A brat-style multi-agent harness tuned to your stack. Your devs delegate tasks — refactor a module, add tests, fix a class of bugs across the codebase — with safety rails and human-in-the-loop.

Outcome

A multi-agent harness running against your repo

Timeline

3–6 months

Pricing

$100–300k build, $10–25k/mo ops

We restructure a messy monorepo so agents work well in it — module boundaries, type coverage, doc generation, test scaffolding, and spec generation from existing code.

Outcome

A phased restructure that agents can work in

Timeline

3–6 months

Pricing

$150–500k+

We audit AI-generated code for vulnerabilities, license violations, prompt-injection vectors, and data leakage, then set up policy and automated scanning in your CI.

Outcome

A security report + scanning infra in CI

Timeline

3–5 weeks

Pricing

$20–50k audit, $5–12k/mo monitoring

We replace or augment legacy search (Elasticsearch, Algolia) with semantic search and RAG — often starting as a small AI feature and growing into a retrieval platform.

Outcome

A new semantic search / retrieval layer in production

Timeline

6–12 weeks

Pricing

$40–120k build + $4–10k/mo ops

For data-sensitive teams (healthcare, finance, defense, EU): local inference, RAG pipelines, and fine-tuning workflows on infrastructure you control.

Outcome

A working private AI stack on your cloud or on-prem

Timeline

8–16 weeks

Pricing

$75–250k build, $10–20k/mo ops

We act as your AI platform team for 20–40 hrs/week and build whatever the roadmap demands — the highest-leverage option when you need momentum before you hire.

Outcome

A senior AI platform team, on retainer

Timeline

Ongoing

Pricing

$20–40k/mo, 3–6 month minimum