AI That Actually Ships
We build AI agents and systems for companies whose prototypes never make it to production — senior engineers, agentic speed.
Engineering experience at
Why Choose Us?
A small senior team, with an agentic engineering pipeline behind every project.
Our AI-Driven Services
AI Workflow Automation. Automate repetitive tasks across departments using intelligent triggers and decision logic.
AI Assistants & RAG. Assistants grounded in your company data: retrieval, conversational memory, streaming and verifiable answers.
AI Observability & Cost Control. Dashboards and telemetry on usage, tokens and costs by model, session and team.
Multi-Agent Systems. Agents that use tools, manage state and integrate with your existing services.
Coding Agents, Under Control. Roll out tools like Claude Code and GitHub Copilot with quality gates, regression tests and execution controls.
How We Work
Five steps from first call to production. Humans lead the first and the last; agents accelerate everything in between.
What We’ve Built
Finds and qualifies target companies, and works inside AI assistants via MCP.
Humans write requirements and review. Agents develop, test and merge the code — for our products and for our clients.
Retrieval pipeline with document grading, query rewriting and conditional routing, plus multi-agent systems with tool use.
Conversational memory, retrieval and streaming in an international team, with cost and usage metrics by country.
Execution controls, benchmarks and telemetry to verify agent-generated code and attribute costs to sessions and models.
Technology Ecosystem
The tools we use every day — for our own products and for our clients.
Built for Growth at Every Stage
Whether you're starting with one problem or scaling across teams, there's an engagement that fits.
Meet the AIVolve Minds
Common Questions
1What industries do you work with?
We've built AI systems in telecom, insurance, European institutions and global manufacturing and retail. More than the industry, what matters is having an internal IT or software team we can work alongside.
2How long does implementation take?
Most engagements start with a 2–4 week sprint on one concrete problem. Dedicated teams then typically run for 6 to 12 months.
3Do we need technical knowledge to work with you?
You don't need AI expertise — that's our job. We work best with companies that have developers or an IT team, because we build inside your systems, alongside them.
4Is AI automation secure?
We design every system following the EU AI Act and GDPR, and choose models and infrastructure according to your policies. Security is part of our background, not an add-on.
5What kind of ROI can we expect?
It depends on the problem, so we don't promise numbers upfront. That's what the sprint is for: we define together what success looks like, then measure it.
6You build your own products too — will my project get enough attention?
Yes. Every client has dedicated engineers. Our agentic pipeline is what lets us do both, and it's the same one we use for you.
7Who owns the code?
You do.