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Services - Four ways we engage.

Every engagement is led by a principal engineer and backed by our in-house AI agent fleet. The shape changes with the problem.

$25-40K · 4-6 weeks

AI Sprint

Ship one thing that moves a real number. LLM feature, voice POC, agent workflow, or eval harness.

Who it’s for
You have a concrete AI feature in mind. You want it in production this quarter, not next year.
Typical scope
Single feature, single surface. Voice agent, RAG search, LLM-assisted workflow, model eval. We turn down work outside that scope.
What you get
  • A principal in your repo from day one
  • Daily PRs with clear scope and tests
  • A working build in 4-6 weeks
  • Evals and a runbook before we hand off
Related work
Stuf — Sidney Voice AIScrubs Co-Pilot

$15-25K/mo · 3 month minimum

Fractional Principal

A principal embedded in your team, week in, week out. Multi-month builds with a clean handoff.

Who it’s for
You have ongoing AI work, no senior engineer to own it, and you don’t want to hire one in a panic.
Typical scope
Owning a real product surface. Voice, agents, RAG, evals, infra. You set priority, we set sequence.
What you get
  • A dedicated principal in your Slack and standups
  • An agent fleet running on your repo with your guardrails
  • A written technical roadmap, updated monthly
  • Quarterly readouts with your exec team
Related work
MyMethodSpringhouse

$5-15K · 2 weeks

AI Audit & Roadmap

A two-week deep dive. We read the code, talk to the team, then tell you what to ship and what to kill.

Who it’s for
Your team is mid-build on AI features and you want a second pair of senior eyes before the next quarter.
Typical scope
Architecture, model choice, eval coverage, latency, cost, security, team gaps. We don’t write code on this engagement.
What you get
  • A written audit (20-40 pages), not a slide deck
  • A prioritized 90-day roadmap with effort estimates
  • A 60-minute exec readout, recorded
  • A short list of what to stop doing
Related work
McGraw Hill

$150K+ · 6+ months

Enterprise AI Program

Principal lead, agent fleet, on-demand specialists, SLAs. For programs that touch production data and real users.

Who it’s for
You’re a regulated industry, a public company, or a Series C+ with material AI exposure on the roadmap.
Typical scope
Multi-surface programs. Voice agents at call-center scale, multi-agent orchestration, RAG over regulated data, custom evals.
What you get
  • A principal lead with a named backup
  • An agent fleet running inside your VPC if you need it
  • Specialists on call: security, evals, infra, voice
  • Quarterly reviews with your CTO or board
  • Signed MSA, signed BAA where applicable
Related work
Meta Superintelligence LabsAmazon

What it actually costs

Compare an ESARC build to a Big-4 quote.

Run the math

Drag the sliders. We compare a Big-4 build (six people at $300/hr) against an ESARC build (principals at $250/hr plus agents at $5/hr).

8 weeks
226
1 principal
13
4 agents
08

Big-4 estimate

$576,000

6 people · $300/hr

ESARC estimate

$86,400

1 principal + 4 agents

You save

$489,600

85% less than the Big-4 quote, same scope, faster cycle.

Numbers are an order-of-magnitude estimate. Actual quotes scale with scope, infra, and on-call coverage. We send a fixed quote after a discovery call.

Common questions

Stuff buyers ask before they sign.

Who owns the IP?

You do. Standard work-for-hire, signed before the first PR. Code, prompts, evals, weights you fine-tune on your data, all yours.

Where do the agents run?

Two options. Default: in our cloud, against your repo via a scoped GitHub app and a tight allowlist. Enterprise: inside your VPC, on your provider, with your audit logs. We do not store your code at rest beyond the engagement.

What models do you use?

Whatever fits the job. Claude Opus and Sonnet for code and reasoning, GPT-4o and 4.1 for general work, Llama for self-hosted, ElevenLabs for voice. We pick per task and tell you what we picked.

How does the handoff work?

Last two weeks of any engagement are handoff. Runbook, evals checked into your repo, on-call playbook, a recorded walkthrough. We stay on call for 30 days after we leave, no extra cost.

What about security and compliance?

We sign MSAs, NDAs, and BAAs where applicable. SOC 2 documentation is in progress. For regulated work we run agents inside your environment, never ours. We have shipped against EPIC, HIPAA-scoped data, and AWS production at Amazon-scale.

What time zone do you work in?

Pacific Time, Vancouver, BC. We cover 9-5 PT and overlap with most of North America and Europe. Async-first by default, so timezone usually does not matter as much as people think.

How many engagements do you run at once?

Two or three at a time, never more. If you have a real engagement, you get real attention.

What if it does not work out?

Sprints have a kill clause at week two. Fractional and Enterprise have 30-day notice. We would rather you leave clean than stay unhappy.

Tell us what you’re trying to ship.

A principal engineer reads every inbound. We reply same day on weekdays, with an honest read of whether we’re the right team for the work.

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