CTO-level strike team
We embed a small senior team. They own the architecture and stay accountable until the system runs in production.
We automate complex business processes with AI
We turn manual, fragmented workflows into production AI systems that integrate with your data, tools and teams.
The problem
Most AI projects work in a demo and fail in daily operations
Building a prototype is easy. But it's hard to make it run every day on your real data, inside your real systems, with someone accountable for the result. That's the part we do.
A typical AI vendor
- A model that looks strong in a demo but breaks on your actual data.
- A vendor who handed over code and left when things got complicated.
- Hourly billing that rewards slow progress.
- A system your team can't maintain or understand.
- An AI wrapper your competitor can replicate in a week.
- No one accountable when the system stops working.
moat8
- A model trained on your data, your edge cases, your domain.
- A team that stays until it runs in production.
- Milestone billing for shipped outcomes.
- A system with full documentation your team can own and operate.
- A model your competitors can't copy with the same API.
- One accountable CTO-level contact from day one.
Why moat8
We don't give up until the moat is built.
We build for real data and real users from day one, and we stay until your team is using the system and the business gets results. If something breaks, we fix it.
The Moat Principle
Why we go further than most vendors
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0%Most teams stop here →100%
Most AI projects fail in iterations 1–7, because most vendors deliver a working prototype and leave. Real automation needs several more rounds: fixing edge cases, filling data gaps, hardening the infrastructure. We do those rounds. The result is a system built on your own data and logic, one that competitors can't copy by calling the same API.
Milestone billing
You pay per delivered result, not per hour. Scope and budget are fixed before work begins.
Full stack, end to end
We build from raw data to the interface your team uses every day.
You own the result
Whatever we build — a model, a system, or an automation — you own it. It keeps working and generating value long after delivery.
The system
What we actually build
From raw data to the interface for your team — one integrated system
We start with one process that costs you time or money: reviewing documents, generating content, processing requests, planning, matching, checking. Then we build everything it takes to run it on AI: we clean and structure your data, train a model on your cases (not a generic API), connect it to your existing tools, put it on infrastructure with monitoring and fallbacks, and give your non-technical team a simple interface to review results and stay in control.
Interface for your team↑ user-facing
Integration with your tools↑ integration
Infrastructure and monitoring↑ production
AI model trained on your data↑ intelligence
Your data, cleaned and structured↑ foundation
Ownership100%
You own the system outright — no licensing, no dependency on us once it’s delivered.
Can competitors copy it?No
It's trained on your data and your rules. Nobody else can rebuild it from a public API.
NDADay one
Your data, architecture, and business logic stay confidential throughout the engagement.
Selected work
Moats we've built
Real estate
A developer cut render costs from $96K to $14K per complex with a custom AI platform.
$96 → $14per render
Inclusive education
UNOWA rebuilt a manual approach to inclusive education into an AI agent.
6h → 5 minper individual development plan
Marketing
An agency is scaling influencer placements 3× with AI.
600 → 2,000placements / mo
Other cases across real estate, education, cinema, marketing, and more
How we work
One problem. One moat. Fixed scope.
Every project starts with one clearly defined process, a list of deliverables, and a price — all agreed before work begins.
Starting investmentFrom $30K
Milestone-based. You pay as we hit agreed outcomes. Most engagements fall in the $75K–$150K range.
Duration8–24 weeks
Team2–5 engineers + CTO-level lead
BillingMilestone-based
NDADay one, always
IP ownership100% yours on delivery
Post-deliveryFull runbook + handoff to your team
Who this is for
A fit if
You have a specific process that eats time, money or headcount.
Solving it is worth $5M+ in savings or revenue.
Off-the-shelf tools and simple API wrappers haven't worked.
You want to own the system, not rent it.
Not a fit ifYou need a general AI assistant or chatbot.
You don't have a defined problem yet and just want to explore.
The team
The people who lead the work
Every project is led by senior engineers who design the system and stay with it from first scoping to production.
15 years building production systems across e-commerce, biotech, and AI. Serial CTO and co-founder of multiple deep-tech startups, with patents and UK Global Talent recognition in confidential computing. Strong at making AI systems enterprise-ready without compromising data privacy. At moat8, he's the technical force that makes complex AI work in the real world.
Serial founder across fintech, crypto, e-commerce, and AI. Grew a crypto platform to top-5 globally, co-founded an AI agent platform, and ran a full-cycle technology partner for enterprise clients for over a decade. Knows where AI projects break, and builds moat8 engagements so they don't. At moat8, he leads strategy, client relationships, and delivery that matches the promise.
Each project gets a team of 2–5 senior engineers, selected for the domain and the stack. They cover the full system from raw data to the interface your team uses every day. You meet the people before the work starts, and the team stays consistent through delivery.
Process overview ·PDF
Not ready for a call?
Download our process overview. It shows how we work, what we need from your team, a real project timeline, and what happens at each milestone.
How the engagement works from start to finish
What data and access we need from day one
Sample milestone plan with deliverables
How handoff and documentation work
30-min scoping call ·Free
Have a process you want to automate?
Skip the PDF. Tell us about it. In 30 minutes we'll say whether it can be automated, roughly what it would take, and whether we're the right team.
Direct answer: can we solve this
Rough scope and complexity assessment
Honest recommendation if we're not the right fit
No sales pitch
Book a call with CEO →
Igor NikolaevCEO
Anna PospelovaCBDO