Most companies use AI, few capture its value.

We help redesign your operations around AI, with results measured in cost, speed and growth.

See what we build

What we build

  • Agent factories

    Give every team the same AI toolkit, templates and guidelines.

    Example: Everyone using their own AI tools, no company-wide approach: one central ecosystem with shared tools, templates and guidelines.

  • SaaS exits

    Replace expensive, half-fitting software with tools you own.

    Example: Overpaying for software that only half fits your needs, like Slack, GitHub, Salesforce or SAP: your own tailored tools at a fraction of the cost, such as an in-house Git platform replacing GitHub.

  • SaaS cost audits

    Know which software to keep, cut or replace.

    Example: Software costs growing faster than your team: a clear picture of what to keep, what to cut and what to build yourself.

  • Context layers

    One secure way for AI to reach your data and tools.

    Example: Every AI tool connected to your systems in its own way: one secure gateway to your data and tools, with clear permissions.

  • Internal app platforms

    Let anyone build the internal tools they need.

    Example: Teams waiting months for simple internal tools: your internal "Lovable/Replit" platform where anyone can build and deploy apps safely.

  • AI-first engineering

    Ship software faster, with AI built into how you develop.

    Example: Engineers using AI, but releases not getting any faster: a development process redesigned around AI, with quality checks built in.

  • AI policing

    Agents that watch your systems and enforce your rules.

    Example: Problems discovered days later, after the damage is done: agents that watch your systems around the clock and act on anomalies as they happen.

  • Guardrails & data protection

    Keep sensitive data safe wherever AI touches it.

    Example: Sensitive data ending up in AI tools: guardrails that mask personal data and block anything leaving without approval.

  • Agent security reviews

    Find the weak spots before attackers do.

    Example: AI agents running in production, never tested by an attacker: a thorough security review with a clear, prioritised fix list.

  • Agent-to-agent networks

    AI agents that work together across departments.

    Example: AI assistants in every department that don't talk to each other: agents that hand work across teams without losing context.

  • Org-wide memory

    A company memory every AI agent leverages.

    Example: AI that forgets everything your company already knows: one shared memory of decisions, customers and know-how, with access rules.

  • Multi-agent orchestration

    Many specialised agents, working as one team.

    Example: One AI tool struggling with a complex process: a team of specialised agents, each doing one job well, coordinated end to end.

  • Edge & physical AI

    AI that runs where the work happens, even offline.

    Example: Data that isn't allowed to leave the building: AI running on-site, right next to your machines.

  • Fleet simulation

    Test every change in simulation before it goes live.

    Example: New robot behaviour tested live, at full risk: every change tested in a simulated fleet before it reaches the floor.

  • Robotics & fleets

    Software that keeps your robots busy, safe and coordinated.

    Example: Robots standing idle while work piles up: software that plans, assigns and reroutes work across the whole fleet.

Where it's going

Where AI is already paying off.

What companies gained by changing how the work gets done.

The companies capturing value rebuild the work around AI, own what they build and track every result. Historically this was expensive; AI now makes it affordable.

We bring hands-on expertise in these areas and help companies solve the hardest parts of AI adoption and transformation.

Ilja Nevolin, portrait
Get in touch

About

You work directly with the people who build it.

Led by Ilja (Ilya) Nevolin, with fifteen years of building software solutions for startups, enterprises, regulated industries and electronic design automation (EDA).

  • Leads AI adoption at enterprise scale today
  • Built systems at Enhesa, Notabene, bp and Keysight
  • Co-founder of Carbon3, an AI-native decarbonisation platform
  • Founded two startups, both acquired; published security research

Contact

Turn AI ambition into measurable results.

Tell us where you're stuck or what you'd like to improve. We'll think it through with you and give you our advice or a solution.

ilja@nevolin.belinkedin.com/in/iljanevolin