CTO-level strike team
We embed a small senior team. They own the architecture and stay accountable until the system runs in production.
We build the AI moat your competitors can't replicate
We go deep into your data, processes, and products — building AI infrastructure that opens new revenue, cuts operational costs, and creates capabilities you couldn't reach before.
The problem
The last 20% is where AI projects actually fail
Getting a model to work in a test environment is easy. The real failure happens when it meets real data, edge cases, production systems, and a delivery model where no one owns the outcome.
Legacy outcome
What usually happens
- 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 outcome
What moat8 delivers instead
- 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.
Plenty of AI projects look great in a demo, then fall apart once they meet real users and real-world data. We build for that reality from day one. And stay until the system runs and the business gets results. If something doesn't work, we don't walk away — we fix it.
The Moat Principle
The last 20% is where it compounds
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0%Most teams stop here →100%
Most AI projects fail in iterations 1–7. Edge cases break the model, data gaps appear, infrastructure cracks under load. Most vendors ship at that point and call it done. We stay for iteration 8 — where the system actually becomes something your competitors can't copy.
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.
What we build
One system. End to end. 100% yours.
From raw data to operator UI — one integrated system
We take responsibility for the whole system, from raw data to the daily interface your team relies on, with no gaps or handoffs. We turn your data into a clean training set—the 80% of work most vendors skip—to build a model fine-tuned on your domain and edge cases, not just a generic API. Then, we wire the system into your existing stack to run reliably under real-world load, complete with fallback logic, monitoring, and an interface where your non-tech team can review exceptions and stay in control.
Operator UI + dashboard↑ user-facing
API + business logic layer↑ integration
Live infrastructure + monitoring↑ production
Fine-tuned model + RAG pipeline↑ intelligence
Your data ingestion + cleaning + labeling↑ foundation
Ownership100%
You own the system outright — no licensing, no dependency on us once it’s delivered.
Replicable by competitorsNo
Built on your proprietary data and domain logic. A moat no one else can rebuild.
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
EdTech
Competitive monitoring. From quarterly reports to real-time signals.
2hreaction time to market change (was 45 days)
Marketing
An agency is scaling influencer placements 3× with AI.
600 → 2,000placements / mo
10+ cases across real estate, education, cinema, marketing, and more
How we work
One problem. One moat. Fixed scope.
We sell outcomes. Every engagement has a clear problem, defined deliverables, and price agreed before we start.
Starting investmentFrom $50K
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've tried to solve this before and it didn't work.
The problem is worth $5M+ in savings or revenue if solved.
You need a proprietary solution, beyond a simple API wrapper.
You want full ownership of the model and infrastructure.
Not a fit ifYou need a general AI assistant or chatbot.
You don't have a defined problem yet and just want to explore.
Your budget is under $50K.
The team
The people who lead the work
Every engagement is led by senior experts who shape the system and stay involved 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.
Senior Engineers
Matched to each engagementEach 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 specific problem in mind?
Skip the PDF. Tell us what you're trying to solve and we'll give you a direct assessment in 30 minutes — whether we're the right fit or not.
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