01Move
DNA dimensions
Active workspaces, token-spend per active user, gross margin after inference, eval pass-rate, model-cost drift, runway and review velocity.
All playbooksStartup & tech
AI startup playbook.
London AI-native startups balancing product, infra cost and pipeline. The lever is treating operations like another model — instrumented, evaluated, automated — and proving unit economics under heavy GPU spend.
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Overview
A London AI-native startup looks like a SaaS company financially, but inference cost makes gross margin volatile week-to-week. Founders who do not instrument cost-per-feature and eval coverage typically discover both problems only after burning a tranche. This playbook covers operationalising a pre-seed to Series A AI company in London — entity setup, observability + eval stack, GPU/API procurement and a credible 12-month plan.
62% target
GM after inference
14h / week
Founder time saved
85% of prod paths
Eval coverage
What you'll need
Equipment list with real 2026 UK prices.
Sized for a 2–4 chair shop. Buy mid-range on chairs and clippers; cheap kit fails inside 12 months and walks away with your barbers.
01
Team + workstations (4–10 FTE)
Workstation per FTE (M3/M4 MacBook Pro or Linux)
£1,800–£3,800 each
Local dev GPU (optional, for inference R&D)
£1,800–£6,500 per workstation
Co-working membership
£280–£700 / desk / month
02
Model + inference stack
Frontier API spend (OpenAI / Anthropic / Google)
£800–£40,000 / month — scales with users
Open-source inference (Together / Replicate / Modal)
£300–£18,000 / month
Vector DB (Pinecone / Weaviate / pgvector self-host)
£0–£900 / month
Fine-tune + training credits
£500–£12,000 per training run
Eval + observability (LangSmith / Braintrust / Helicone)
£140–£900 / month
03
Product + infra
Cloud hosting (AWS / GCP / Vercel + DB)
£400–£8,000 / month
Auth + billing (Clerk / WorkOS + Stripe)
£90–£600 / month
Product analytics + session replay (PostHog / Mixpanel)
£0–£900 / month
Error + uptime (Sentry + Better Stack)
£70–£420 / month
SOC 2 + AI governance (Vanta + custom model card)
£6,000–£18,000 / yr
04
GTM + finance
CRM (HubSpot / Attio)
£18–£140 / user / month
Outbound (Clay + Apollo / Smartlead)
£140–£600 / month
Accounting + cap table (Xero + Vestd / SeedLegals)
£40 + £120–£480 / month
Payroll + HRIS (Pento / Onfolk / HiBob)
£8–£28 / employee / month
Where to set up
Location is half the business.
Format
Hybrid co-working + flexible all-hands
Most engineering is remote-leaning; sales + investor work needs London presence.
Tube proximity
Zone 1–2, ≤ 8 min walk
AI investor concentration sits in Mayfair / Soho / Kings Cross corridor.
Hub credibility
AI-cluster postcode (Kings Cross / Soho / Mayfair / Shoreditch)
Google DeepMind, Anthropic, Stability + most AI funds cluster here.
Power + cooling (if hosting local GPU)
Dedicated power circuit if running multi-GPU rig
Standard co-working circuits trip under sustained training load.
Soundproof booths
≥ 3 per 10 staff
Recorded demo + AI voice work needs quiet, callable space.
Area tier
Rent / month
Notes
Kings Cross / Granary Square (Zone 1)
£550–£900 / desk
Premium AI cluster (DeepMind, Anthropic London, Conjecture nearby). Best fundraising signal.
Soho / Mayfair (Zone 1)
£500–£850 / desk
AI VC corridor (Air Street, Hoxton, Index, LocalGlobe in walking distance).
Shoreditch / Old Street (Zone 1–2)
£380–£600 / desk
Sweet spot for product-led AI startups; lots of senior eng talent.
London Bridge / Borough (Zone 1–2)
£340–£550 / desk
Strong for AI in fintech / healthtech verticals.
Licences & registrations
Get the paperwork done before you sign a lease.
UK figures for 2026. Lead times assume you submit complete applications — councils will pause the clock if you miss documents.
Requirement
Who issues
Cost
Lead time
ReqIncorporate at Companies House
Companies House
£100
Usually 24 hours
ReqRegister Corporation Tax + PAYE + VAT (if applicable)
HMRC
Free
2–30 days
ReqICO data protection registration
ICO
£60–£2,900 / yr
Same day
OptSEIS / EIS Advance Assurance
HMRC
Free
6–12 weeks
OptEMI option scheme + share valuation
HMRC + accountant
£1,500–£4,500
6–10 weeks
ReqFounders + EMI agreements + articles
SeedLegals / specialist
£900–£4,500
2–6 weeks
OptAI Code of Practice / Bletchley Declaration alignment doc
Internal — DSIT signposted
Free
Internal review
ReqModel cards + sub-processor list (UK GDPR Art. 30)
Internal + DPO contact
Time only
Ongoing
OptSOC 2 Type I / Cyber Essentials Plus
Vanta / IASME certifier
£3,500–£18,000 / yr
8–16 weeks
ReqProfessional indemnity + cyber + AI liability rider
Hiscox / Superscript / Beazley
£900–£6,500 / yr
1–3 weeks
ReqEmployer's liability + public liability
Same broker
£280–£900 / yr
1 week
Build-out timeline
From decision to open in 12 weeks.
01
Phase 1 · Incorporate + capital
Month −6 to −3- Incorporate + open bank.
- Issue founder shares, EMI scheme, apply SEIS AA.
- Close pre-seed (typically £250k–£1.5m for London AI in 2026).
02
Phase 2 · Stack + design partners
Month −3 to 0- Set up product + eval + observability stack.
- Recruit 2 engineers + 1 GTM + 1 designer.
- Sign 3–5 design partners with monthly token budget caps.
03
Phase 3 · GA + unit economics
Month 0–6- Launch with metered Stripe billing.
- Daily cost-per-active-user dashboard live in NAVIZIX.
- Eval coverage to 70%+ of production paths.
- First 30 paid workspaces.
04
Phase 4 · Margin + Series A prep
Month 6–18- Push GM after inference to 55–65% via prompt + cache + open-source mix.
- Land 2–3 lighthouse enterprise pilots.
- Weekly investor update auto-drafted.
- £80k–£200k MRR + clear margin trajectory before A round.
Budget
Realistic startup and monthly cost ranges.
One-off · Startup
Setting up the shop
Incorporation + legal (founders / EMI / SEIS)
£900 → £4,500
Brand + website + design
£4,500 → £32,000
Team hardware + local GPU (4–6 staff)
£9,000 → £32,000
Year 1 product + eval + observability stack
£14,000 → £60,000
Year 1 frontier model spend
£12,000 → £280,000
Co-working year 1
£8,500 → £32,000
Insurance + Cyber Essentials + SOC 2 readiness
£3,200 → £24,000
Working capital / payroll buffer (6 months)
£120,000 → £600,000
Typical total
£35k → £85k
Recurring · Monthly
Keeping the lights on
Payroll (4–10 FTE incl. employer NIC + pension)
£28,000 → £110,000
Co-working
£800 → £4,500
Frontier API spend
£1,200 → £40,000
Open-source / GPU compute
£400 → £18,000
Cloud + DB + observability + eval
£600 → £8,000
GTM + finance stack
£400 → £2,400
Marketing (content + paid + events)
£800 → £12,000
Insurance + compliance (monthly equiv.)
£400 → £2,400
Typical total
£5.8k → £23k
Numbers that compound
How a ai startup actually looks on a chart.
Illustrative planning ranges, not measured customer data. Toggle the views to see ramp, mix and weekly load.
12-month revenue ramp
Low vs high scenario (£ monthly)
High Low
Illustrative example for planning, not measured customer data.
First 90 days
Dates that actually matter after opening.
01Day 0
Stripe + token usage + analytics wired into NAVIZIX. Daily cost-per-active-user live.
02Day 14
First DNA scan — flags margin-after-inference and eval coverage.
03Day 30
First abuse / runaway-prompt alert tuned; free-tier caps in place.
04Day 60
First peer benchmark on GM after inference + cost-per-MAU.
05Day 90
Weekly investor update + model card snapshot ready for any reviewer.
What's inside
DNA, route, automations, integrations, benchmarks, advisors — tuned for a ai startup.
02Move
Suggested route
Instrument token cost per feature, cap free-tier abuse, tighten eval coverage, then ship a customer-facing usage + value dashboard to lift retention.
03Move
Automations
Daily inference-cost vs revenue digest, abuse / runaway-prompt alert, eval-regression alert, weekly investor update and pipeline-to-burn projection.
04Move
Integrations
Stripe, OpenRouter / Anthropic / OpenAI / Replicate dashboards, LangSmith / Braintrust / Helicone, PostHog, HubSpot, GitHub, Xero.
05Move
Benchmarks
Gross margin after inference, token-cost per active user and eval pass-rate vs UK AI startups in the same vertical, refreshed weekly.
06Move
Advisors
Encore advisors with applied-AI deployment experience plus NAVIZIX AI for daily margin + eval nudges to the founders.
Stack
Modules used in this playbook.
01DNA Engine02Route Map03Launch Twin04Automation05Verified06Encore
Related playbooks
Owners of a ai startup often run — or cross-sell with — these adjacent operations.
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