The engineering layer between your AI roadmap and your release notes.

We’re an AI engineering partner for product companies shipping AI features in real business conditions — with messy data, legacy systems, compliance, and production reliability on the line.

Book a 20-min call in London

What we can go deep on in 20 minutes

Shipping faster with AI in your SDLC — without breaking the project

The speed gains from AI in delivery are real. So is the silent damage to architecture, quality, and ownership if you scale it wrong. What actually changes in review, testing, production handoff — and what to measure separately for local velocity vs project health.
Shipping faster with AI in your SDLC — without breaking the project

The speed gains from AI in delivery are real. So is the silent damage to architecture, quality, and ownership if you scale it wrong. What actually changes in review, testing, production handoff — and what to measure separately for local velocity vs project health.
Modernizing legacy without the rewrite trap

The smart middle between dragging legacy forever and burning a year on a full rewrite. What to decouple, what to wrap, what to rewrite — and where AI-assisted delivery actually unlocks product speed, not just cleans tech mess.
Turning data you already have into something usable

Most companies have more value sitting in their existing data than they realize — operational logs, support data, workflow history, product usage. Often the fastest win isn’t a new AI layer; it’s making the data layer usable first.

We don't sell hours. We ship AI systems.

FULL-CYCLE
Not PoC theatre.

We take AI from data and discovery through production, monitoring, retraining, and scale. The hard part is everything after go-live — that’s where most projects quietly fail.
ENGINEERING ACCOUNTABILITY
Not AI hype.

Architecture, integration, governance, security, reliability. The parts that decide whether AI actually works in real business conditions — not in a demo.
EATING OUR OWN COOKING
AI in our own SDLC.

We’ve rebuilt how we write, review, test, and ship code with AI. That gives clients faster time-to-market and better unit economics — not a marketing line.

Things we've built — and what they prove.

These are R&D builds from our AI lab, not products you can buy. We show them to demonstrate engineering depth in complex, regulated domains — and how the same patterns transfer to FinTech, HealthTech, Logistics, or any vertical where AI must be trustworthy in production.

EdTech · Governed NL→SQL
AI Analytics Reporter

Every ad-hoc analytics question still goes through an analyst — schema, SQL, validation, chart, days of turnaround. The Reporter lets non-technical users ask in plain English and get a schema-grounded SQL answer, narrative, and chart in seconds — with the full reasoning trace exposed for audit.

WHAT IT PROVES

Read-only by construction. Every run logged with prompt, SQL, and confidence — AI you can put on production data.
Manufacturing · Decision Intelligence
Manufacturing Control Tower

ERP, MES, 1C each hold a slice of the operating day; nothing reasons across them. The Tower sits above the stack — six specialised agents simulate the full day in minutes, surface structured A/B/C escalations, and route every high-stakes decision through a human-in-the-loop gate.

WHAT IT PROVES

AI grounded in your business’s own norms — production rules, SLAs, safety regs — so it knows what “normal” looks like, and where to pause for a human.
CX · Grounded RAG
Customer Support Co-Pilot

Knowledge-heavy support tickets take nine minutes because agents flip between five tabs for every reply, and new hires need months to know where to look. The Co-Pilot reads your full knowledge base — policies, product docs, past tickets — and returns a grounded, citation-backed answer in seconds.

WHAT IT PROVES

Refuses to answer outside the knowledge base. Every answer cites its sources. The knowledge base never leaves your environment.

* Not commercial products. R&D builds we use to validate engineering patterns, demo at events, and apply inside client engagements.

Not our first AI project. Not our hundredth either.

EdTech, HealthTech, Logistics, Manufacturing

verticals with AI in production

Engineer-led

pre-sales — meet the architect, not the account manager

23 years

building software for product companies

3+ years

average client tenure

Pick who you want to talk to

20-minute slots between 8–12 June. At LTW Olympia, AI Summit London, fringe venues, or central London cafés — pick a time and we’ll confirm the place.

Ruslan Makarsky
CCO
Owns Aristek’s go-to-market and partnership strategy. The conversation to have if you’re thinking about engagement models, commercial fit, or how an AI investment translates into pipeline and product velocity.
Viktoryia Makarskaya
Lead of R&D
Runs Aristek’s applied AI lab. The conversation to have if you’re thinking about architecture, data layers, model lifecycle, evaluation, or what it takes to get an AI feature actually working in production.