What we build

Agentic AI that does real work.

Four service lines, one method: prototype first on your data, then scale what proves its value. Everything ships with humans in the loop and audit-readiness by design.

01

Agentic AI Development

Autonomous AI agents that plan, reason, and execute complex tasks end-to-end. Any use case: operations, customer service, research, back-office. We design the agent, the tools, and the guardrails.

  • Custom agents built for your workflow
  • Tool integration — your systems, data, and APIs
  • Guardrails & evaluation harness

Use case: a back-office team that clears ~80% of routine cases automatically, escalating only what truly needs a human.

LLM agents Guardrails Tool integration
02

AI Infrastructure & Platform

Cloud and MLOps that keep AI reliable in production — deployment, orchestration, and observability — with the data & analytics layer folded in: dashboards and a single source of truth.

  • Cloud setup & secure deployment
  • Deployment & orchestration, offline-first where needed
  • Observability — every decision logged & auditable
  • Analytics dashboards, single source of truth

Use case: an AI service that stays up at peak — and every decision it makes is logged and auditable.

Cloud / MLOps Pipelines Observability Dashboards
03

Automation & Integration

Workflows, APIs, and internal tools that connect AI to how your team actually works — so value lands where the work happens, not in a parallel universe.

  • Workflow automation
  • API design & system integration
  • Internal tools your team will actually use

Use case: a proposal that drafts, prices, and formats itself in minutes instead of days.

Workflows APIs Internal tools
04

AI Advisory

Opportunity mapping, roadmap, and product incubation — from idea to MVP. We help leadership go from "should we use AI?" to a scoped first project.

  • Opportunity mapping & prioritization
  • Implementation roadmap
  • Product incubation — idea to MVP

Use case: leadership that moves from "should we use AI?" to a scoped first project — with numbers.

Opportunity mapping Roadmap Idea → MVP

Engagement models

Start small. Prove value. Then scale.

Every engagement follows the same disciplined path — designed so you always know what you're getting and what it costs before you commit further.

Pilot

A working prototype on your real data, in weeks. You touch it, test it, judge it against real conditions.

Phased build

Roll out capability by capability, with clear gates. Value lands early; risk stays low.

Platform & scale

Production-grade infrastructure, training for your team, and agents operating under human oversight.

Tech stack

Practical tools, chosen per problem.

We pick boring-where-possible, cutting-edge-where-it-pays. The stack follows the use case, never the other way around.

Python & modern LLM frameworks Frontier + cost-optimised language models OCR / vision models Vector search & RAG Streaming & event pipelines PostgreSQL / object storage Containerised deployment (Hetzner / cloud) UU PDP-compliant data handling

See it on your data

Tell us where the admin hurts most.

We'll turn it into a working prototype in weeks — with real ROI numbers before you commit to scale.

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