When your process is genuinely yours, we build genuinely bespoke agents.
Not every mid-market operator's pain fits a pre-built category. When your process is genuinely specific — regulated, multi-entity, vertical — we design and build the agentic system from the ground up. React, FastAPI, PostgreSQL, your choice of LLM, your choice of runtime.
Volume grows. Headcount doesn't.
When your process is regulated and needs full auditability at every step. When your operation spans multiple entities, currencies, tax regimes, or ERPs. When you run a vertical-specific workflow that no SaaS product covers. When you've been burned by low-code tools that couldn't handle your edge cases. When you need to run the AI locally for compliance or data-sovereignty reasons. This is the door for those conversations.
Four patterns we deploy repeatedly.
Structured 2–3 week engagement to identify the right processes, the right agent architecture, and the realistic ROI. Deliverable: a prioritised roadmap, not a slide deck.
4–8 weeks on the highest-impact process. In production, not a sandbox.
Bring the pattern across adjacent processes. Every new process is faster because the foundation exists.
The same team stays on the system. Processes change, exceptions evolve, agents get tuned.
React, Vue, Flutter.
Python FastAPI, Django. PostgreSQL, SQL Server, Azure Data Factory.
Claude (Opus, Sonnet), OpenAI, local Ollama (Qwen, Llama 3.3), Anthropic Agent SDK. Microsoft Power Automate and open-source RPA frameworks where appropriate.
Azure, Hetzner, on-prem where needed. Cloud, local, or hybrid — same architecture, different inference endpoint.
Pre-built when it fits. Bespoke when it doesn't.
Discovery → Pilot → Scale
Our standard engagement shape: 2–3 weeks of Discovery, 4–8 weeks on a production pilot, then scale-out and retainer. Fixed-fee phases, measurable exits.
See the AI Transformation methodology →Sovereign / local AI variant
When your data can't leave the building, we run the same architecture against local Ollama on Apple Silicon or on-prem GPUs. Same agents, no cloud.
Read about sovereign AI →In production, at a customer you've heard of.
Bespoke agents, built on a stack that fits your operation and your regulator.
Deployed across regulated operators, multi-entity businesses, and vertical-specific workflows where no SaaS product covers the work. Cloud, local, or hybrid — same architecture.
See case studies →