Aristek SystemsContact Us
background image
background image

London Tech Week 2026

8-12 June 2026 | London, United Kingdom

We’re an AI engineering partner for product and service companies — helping you ship from AI features to core backend in real business conditions: messy data, legacy systems, compliance, and production reliability.

23+

years in Tech

6+

years in AI

87%

of clients stay 5+ years

AI

SDLC

What we can go deep on in 30 minutes

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 hand-off — and what to measure separately for local velocity vs project health.

Most companies don’t need a full build first. They need a sharp way to test whether the problem, data, workflow, and value case are real — through a thin slice or working prototype that lets reality answer the question, not a strategy deck.

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.

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.

Image 1
Image 2
Image 3
Image 4

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.

  • EdTechGoverned NL→SQL

    AI Analytics Reporter

    Every analytics question runs through an analyst and takes days?

    The Reporter gives non-technical users schema-grounded answers, narrative, and charts in seconds — reasoning trace included.

    WHAT IT PROVES

    • Read-only by construction. Every run logged with prompt, SQL, and confidence — AI you can put on production data.

    Let's talk
  • ManufacturingDecision Intelligence

    Manufacturing Control Tower

    ERP, MES, 1C each hold a slice of the day — nothing reasons across them?

    The Tower puts six specialized agents above the stack: full-day simulation in minutes, structured escalations, every high-stakes decision through a human gate.

    WHAT IT PROVES

    • Grounded in your production rules, SLAs, safety regs — the AI knows your normal, and where humans take over.

    Let's talk
  • CXGrounded RAG

    Customer Support Co-Pilot

    Agents flip five tabs per ticket, new hires take months to ramp?

    The Co-Pilot covers your full knowledge base — policies, docs, past tickets — and answers in seconds, with citations.

    WHAT IT PROVES

    • Only answers from your knowledge base. Every answer cited. Nothing leaves your environment.

    Let's talk
  • LegalOCR

    AI Compliance Checker

    Cross-referencing policies, contracts, and procedures against regulations is manual, slow, and miss-prone?

    The Checker scans your full document stack, flags contradictions, gaps, stale citations with traffic-light severity, and suggests fixes.

    WHAT IT PROVES

    • Re-scans only affected areas when regulations update. Audit trail included. Runs in your environment.

    Let's talk

* 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

  • 23+ years building software for product companies

  • 5+ years average client tenure

Icon

EdTech, Healthcare, Manufacturing, Logistics domains with AI in production

Icon

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

Pick who you want to talk to

30-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.

  • Image of Ruslan Makarsky

    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.

    Book with Ruslan
  • Image of Viktoryia Makarskaya

    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.

    Book with Viktoria

Prefer email?

Drop a line to events@aristeksystems.com — we’ll come back within one working day.

We use third-party cookies to improve your experience with aristeksystems.com and enhance our services. Click either 'Accept' or 'Manage' to proceed.