
EU AI Act enforcement
Legacy systems can't carry the transparency, risk-classification, or audit-log requirements the Act introduces — and there is no extension. Migration packages can now bundle AI-Act-compliant deployment for a 20–30% premium.

Mid-market migrations. AI-system audits. Vibe-code rescues.
Delivered by 50 codified agents under one senior engineer who approves the 20% that matters. 3–5× faster than a 12-person agency.
Trusted by companies across UK & Ireland · 95.2% gross margin · 5.5 months trading
The Pivot
Our February 2026 plan called for 8–12 FTE by Year 3 to hit £900K revenue. Sensible. Mid-market consultancy with AI-augmented engineers — the textbook play.
Three signals changed the math by May 2026. Claude 4.7 Opus closed 60–70% of tasks that needed a human three months earlier. Northern Ireland hiring stalled — three AI Engineer interviews, zero offers. FTE costs grew 8–12% per year while AI cost held flat.
The new plan is one founder and fifty codified agents. Same Y3 revenue ceiling, EBITDA margin moves from 43.6% to 75–85%.
8–12 → 1
FTE by Y3
43.6% → 75%
EBITDA margin
5 → 100+
orders / week

Trusted by teams across the UK & Ireland
Digital employees
Founder
Revenue verified
Gross margin
Why now
Not a forecast — a deadline.

Legacy systems can't carry the transparency, risk-classification, or audit-log requirements the Act introduces — and there is no extension. Migration packages can now bundle AI-Act-compliant deployment for a 20–30% premium.

Lloyd's of London and major US carriers have repriced legacy-platform-dependent operators. By Y3, our clients pay more for cyber cover than for the migration that removes the risk. The ROI argument writes itself.

Modern developers refuse to work on jQuery, Angular.js, .NET WinForms, or PHP < 7.4. Universities have stopped teaching it; bootcamps focus on Next.js + Vercel + Supabase. Hiring legacy maintainers is now harder than migrating off the platform.

Anthropic Agent Skills became an open standard 18 December 2025. MCP standardised under the Linux Foundation. Agent infrastructure is now commodity stack — like RDS in the 2010s. Our pavel-* skills already align.

8.1% of Q1 2026 product launches openly use Lovable, Replit, Bolt, Base44, v0, or Cursor; another 19.6% show vibe-coded markers. Many earn revenue while sitting on unmaintainable code. New ICP: solo founders with paying users on a prototype that needs to grow up.
The workforce
Each cluster is codified — charter, eval suite, token budget. Click in to meet them.
Codified employees
Live in production
In build (Wave 1–4)

4 agents
+1 more →

10 agents
+7 more →

3 agents

7 agents
+4 more →

4 agents
+1 more →

5 agents
+2 more →

10 agents
+7 more →

7 agents
+4 more →
Seven Tiers
The two NEW tiers — Reliability Audit and Vibe-Code Rescue — opened up under the AI-first model. They serve audiences a 12-engineer agency could never have reached profitably.

Mid-market CTOs evaluating modernisation
Dual-lens code + UI analysis with a roadmap PDF and Linear backlog.

Teams running AI in production
Audit your existing multi-agent stack — eval, HITL, observability, cost-runaway gaps.

Pre-commitment proof of concept
Single-module migration to validate stack choice and timing before scaling.

Solo founders with vibe-coded prototypes
Stabilise or replatform an app built on Lovable, v0, Bolt, or Cursor.

Mid-market full platform replatform
End-to-end legacy modernisation with parallel agent crews and zero-downtime cutover.

Greenfield builds on the modern stack
Greenfield product builds from contract to live URL on the pavel-* reference stack.

Anyone post-migration or post-build
Ongoing maintenance, monitoring, and continuous modernisation.
Margin range 87–95%. Pricing reflects fixed-scope engagements. Custom scopes always available.
Methodology
AI does the 80% that's repeatable. The senior engineer signs off the 20% that decides risk. Sequential failures across the industry — Claude DB-deletion, Cursor prod bugs, 11x.ai's 70% client loss — all came from removing this gate. We do the opposite.

Research
Codebase scan paired with AI browser-agent UI crawl. Dependencies, complexity, hidden risks surface in hours, not weeks.
↓ Gate 1 ↓

Plan
Agent crews decompose the work into ordered task graphs with explicit dependencies. Linear backlog populates with MIG-NNN tickets.
↓ Gate 2 ↓

Execute
Up to 5 isolated Kubernetes sandboxes execute migration tasks in parallel. Each sandbox is single-purpose, observable, replayable.
↓ Gate 3 ↓

Review
CodeRabbit automated review, visual regression testing, eval suite per agent. Quality gate before any code reaches main.
↓ Gate 4 ↓

Fix
Postmortem on every defect, lessons fed back into the agent fleet via pavel-postmortem and pavel-rollout. The next migration is faster.
Client Results
“NeoMigrate cut our migration timeline from 18 months to 6 weeks. The AI analysis alone saved us hundreds of hours of manual code review.”
CTO
Enterprise SaaS Client · Enterprise SaaS
FAQ
Everything you need to know about working with NeoMigrate.
The studio is one human and 50 codified agents. Each agent has a charter, an evaluation suite, and a token budget. Pavel supervises and approves; agents execute. The architecture supports 80 assessments and 5–10 full migrations per week without hiring — see /agents for the workforce inventory.
Ready to start?
Book a free 30-minute assessment call. We'll scope your migration, audit, or rescue — and you'll see exactly which agents would do the work and how the founder review gates are structured. No commitment.