$ startcut --status

Senior engineering
for AI startups under pressure.

Fractional CTOs and embedded squads for founders shipping AI products on a runway clock. We've taken systems from zero to billion-scale — and watched plenty of AI startups die in between. We know which mistake you're about to make.

Production in weeksAI-native systemsArchitecture reviewFounder-first
5
senior partners
15 yrs
median ic experience
14 days
to first commit
72 hrs
to written diagnosis
01/Field notes

Why most AI startups die in their first six months.

Six patterns we keep walking into on scoping calls. Nobody we meet is running just one at a time.

D00

AI demos that never ship.

A working notebook is not a product. Most teams underestimate the gap by six months and a full rewrite.

D01

LLM wrappers with no moat.

A clever prompt is a feature, not a company. If your product dies when the next model lands, you don't have one.

D02

Overengineered for a stage that hasn't arrived.

Kubernetes, microservices, and a nine-person platform team for two hundred users. The architecture is louder than the traction.

D03

Junior engineering disguised as velocity.

Fast commits, fragile systems. Six months of speed, then a quarter of paying it back — usually during your raise.

D04

Vibe-coded systems with no design.

Cursor and Claude can write a lot of code. Neither asks whether the system should exist.

D05

Founders running standups, not customers.

Founders who start managing engineers stop talking to customers. Six months later the product ships and the pipeline is empty.

02/Services

Two ways to plug us in.

Pick the smallest engagement that solves your bottleneck. About one in four scoping calls ends with us telling you not to hire us.

01
Fractional CTO

Senior leadership, two days a week.

For founders who need engineering judgment in the room — hiring, architecture, vendor decisions, board materials — but don't yet need a full-time hire.

Includes
  • Two days/week of senior engineering leadership
  • Architecture & infrastructure decisions, written down
  • Hiring partner — sourcing, screening, leveling
  • Vendor & build/buy diligence (incl. AI stack)
  • Investor & board technical narrative
  • On-call for your founders, async-first
Cadence
2 days/wk · 6-month min
Engagement starts
From $14k/mo
Discuss this engagement
02
Embedded Squad

A full team, calibrated to your stage.

For teams shipping a product or platform that needs to move from prototype to load-bearing. We bring a small, calibrated pod — staff lead plus 2–3 senior engineers — and ramp out as you hire.

Includes
  • Staff-level tech lead + 2–3 senior engineers
  • Optional design/PM partner
  • Weekly demo, shared roadmap, your tools
  • Production-grade from day one (CI, obs, on-call)
  • Hand-off plan baked in from week one
  • Hire-and-replace model — we want to leave
Cadence
3–9 months · sprint-billed
Engagement starts
From $48k/mo
Discuss this engagement
+ a la carteArchitecture review · Pre-due-diligence audit · Hiring sprint · AI/ML feasibility · Production readinessAsk
03/AI PracticeNATIVE AI TEAM

We were running models in production before it was a category.

Every one of our partners has shipped AI products and adopted AI workflows on real teams. We bring both halves of the conversation — the one about your customers, and the one about your engineers.

adopt01

Workplace adoption

Roll out Claude, Copilot, Cursor — and the policies, eval rubrics, and prompt libraries that make them stick beyond the first month.

build02

AI in your product

RAG, agents, evals, fine-tuning. We have the scar tissue from production deployments — what is theater, what is a feature, and what is a company.

process03

Internal AI processes

Write the playbook for your team: when to reach for an LLM, when not to, how to review AI-authored code, and how to measure leverage.

audit04

Stack & spend audit

Model selection, vendor lock-in, eval harness, cost ceilings. We benchmark your current stack against the alternatives you should have considered.

04/Stage Fit

We're built for the messy middle.

Most engineering firms target enterprise budgets. We optimize for the moments where one architecture decision changes your next two years.

01
Pre-seed
0 → 1
  • Idea velocity
  • Throwaway prototypes
  • No infra debt yet
TOO EARLY

Usually too early. Hire a builder.

02
Seed
1 → 10
  • First production system
  • Founding eng hires
  • Architecture choices that stick
BEST FIT

Fractional CTO + maybe a 2-person squad.

03
Series A
10 → 50
  • Org structure
  • First load-bearing systems
  • Hiring pipeline
BEST FIT

Embedded squad for one workstream, CTO advisory.

04
Series B
50 → 250
  • Re-platforming
  • Compliance & SOC2
  • Specialist hires
BEST FIT

Squad for a specific platform investment.

05
Series C+
250 → 1k
  • Org redesign
  • Enterprise readiness
  • M&A integration
GOOD FIT

Strategic engagement: audit, write-up, hand-off.

06
Enterprise
1k +
  • Process at scale
  • Legacy migration
  • Platform teams
GOOD FIT

Targeted intervention; we know the playbook.

← startup velocity↑ engineering as a competitive moatenterprise scale →
05/How we work

The first commit lands in two weeks.

Engagements run on a public clock. Every step has a deliverable that you'd be happy to show your board.

01 · discover
wk 0

Scoping interview

A 90-minute working session to map your bottleneck, your runway, and the smallest engagement that moves the needle.

→ written diagnosis · no charge
02 · assemble
wk 1

Team match

We propose a named lead (and squad, if applicable) with the specific scar tissue your problem needs. You meet them before you sign.

→ 3 candidate leads · 72h
03 · land
wk 2

First commits

Production-ready from day one. CI, observability, on-call, and a paved-road template you keep when we leave.

→ first PR merged · 14d
04 · compound
wk 3+

Compounding

Weekly demo + written changelog. Quarterly architecture review. Hiring partner cadence baked in so you can replace us on schedule.

→ shared roadmap · ongoing
05 · handoff
wk N

Hand-off

Our success metric is leaving cleanly. Runbooks, ADRs, hired engineers in seat — and a final review you'd ship to your board.

→ closing review · scheduled
// principle

No black boxes.

Every decision lives in an ADR you and your future hires can read. Code is yours from commit zero — no exit clauses, no rented people.

// principle

Replace us on a schedule.

From week one we plan our exit. Hiring is part of the engagement; we screen, level, and onboard the full-timers who replace us.

// principle

The expensive lessons, included.

What we know about scaling — schema migrations, on-call rotations, vendor lock-in, fraud, compliance — comes free with the engagement.

06/Principles

How we ship. In six lines.

P00

Boring tech, on purpose.

We pick the dullest stack that fits the next two years. Excitement is debt with a different name.

P01

Write the runbook first.

If we can't describe the on-call shape, we don't know the design well enough to build it.

P02

One owner per system.

No collective ambiguity. Every running thing has a named human who paged for it last.

P03

Production day one.

CI, observability, and a deploy pipeline are scaffolding — not a milestone you graduate to.

P04

Ship the org chart, not just code.

Architecture and team shape are the same problem. We design both at once.

P05

Decisions in writing.

Every consequential call is an ADR. Future you, your hires, and your acquirer will read these.

07/FAQ

Questions, plainly answered.

A.

Toptal is a marketplace — they hand you a contractor and step back. Dev shops sell hours. We sell outcomes against a stage-specific playbook, with a named lead who's seen the same problem in three other startups. We also leave — every engagement plans the replacement hire from week one.

$ ./contact --intro

Start with a 90-minute scoping call.

You leave with a written diagnosis and a recommendation — whether or not it involves us. We will tell you exactly which of the six failure modes you're closest to.

// what we'll ask
stage:seed | series-a | series-b | …
bottleneck:hiring | architecture | velocity | …
timeline:this quarter | next quarter
budget:$15k–$80k / mo
urgency:● ● ● ● ○
✓ diagnosis returned within 72h