AI is here.
Keep your mind.

• 01

  AI that can actually read your business

  Most AI implementations fail before they start — not because the model is wrong, but because the data layer isn't ready. Your operational data is locked in legacy systems, spreadsheets, and unstructured exports. We build the structured foundation first, so AI tools have something coherent to work with from day one. Your data exists. AI just can't read it yet. We fix that first.

  Legacy data integrationDocument model designERP integrationAI-queryable output
• 02

  Your AI, your models — no lock-in

  Sensitive workflows run against local open-source models on your hardware. General tasks use commercial models. We use Mastra to switch between providers seamlessly — Hetzner GPU infrastructure where data privacy matters, commercial APIs where speed does. You're never locked in, and your sensitive data never leaves your environment.

  Local open-source modelsNo vendor dependencyHetzner GPU infrastructureProvider-agnostic
• 03

  Your IP stays yours — by architecture

  Most AI providers train on the data you send them. If your processes flow through a closed-source API, you're funding your own competitive disadvantage. We sandbox AI agents away from your live systems — your workflows, your processes, your institutional knowledge stays inside your perimeter. You own the data layer — not just access to it. That's not a setting. It's the architecture.

  Sandboxed environmentSensitive-data isolationData stays localZero third-party training
• 04

  Start with a clear picture

  Before any build, we map your data flows and prioritise what matters most. Which systems hold the most value? Where does structure break down? What's sensitive, what's already usable, and what needs integration work? In five days, you'll have a prioritised data map and AI readiness assessment — before we write a line of code. A clear starting point, not another slide deck.

  Data flow auditAI readiness scoreMeasurable outcomesPrioritised roadmap

• 01

  Map your data flows

  We audit how information moves across your operations — which systems hold what, where structure breaks down, and which workflows carry the most risk from an AI perspective. We identify what's sensitive, what's already usable, and what needs integration work. Output: a prioritised data map and AI readiness assessment.

  Data flow auditSensitivity profilingAI readiness score
• 02

  Build the integration sandbox

  We pull your data from external services into a structured local environment — a sandbox your AI works against, not your live systems. No AI agent calls your APIs directly. No data is pushed to third-party model providers unless you explicitly allow it. Your workflows are isolated from external services by design.

  Local-first integrationExternal API isolationStructured data layer
• 03

  Deploy the right model for each workflow

  Sensitive workflows run against local open-source models on your infrastructure. General tasks use commercial models. We use Mastra to switch between providers seamlessly — you're never locked in, and your sensitive data never leaves your environment. Each model is matched to the workflow based on your risk profile, not convenience.

  Local open-source modelsCommercial model integrationProvider-agnostic
• 04

  Define and track success metrics

  Before we ship anything, we agree on concrete KPIs — adoption rates, query accuracy, hours saved, compliance coverage, cost reduction. Every engagement ends with measurable outcomes, not slide decks. We review against those targets at each milestone and adjust before committing the next phase of work.

  Pre-agreed KPIsMilestone reviewsIterative delivery

Our work

Live

Achra

Marketplace for Network Organisations

A coordination marketplace built for network organisations globally — connecting service providers, subscribers, and coordinators across decentralised structures. Built on structured, local-first document infrastructure: every workflow, subscription, and financial record is typed, queryable, and auditable by any tool from day one.

Live

Sky Expenses

Treasury & Financial Transparency

Financial transparency infrastructure for the Sky ecosystem — structured expense reporting, contributor payments, and budget tracking for one of the world's largest on-chain economies. Replaced ad-hoc spreadsheets with typed, auditable financial records that governance participants, auditors, and analytics tools can all query from a single source. Formerly expenses.makerdao.network.

Shipped

22 Business Modules

Powerhouse — Open Data Layer

Designed and shipped 22 business modules inside Powerhouse Connect — spanning finance, billing, reporting, work management, services, and team identity. Each module is a typed document model with a UI editor, live GraphQL API, and an open schema any downstream tool can consume. Production-tested across the MakerDAO and Sky ecosystem.

Launching

Operational Hub

First Achra Service Offering

The first live product in the Achra service offering suite — a subscribable operational hub for teams and working groups. Bridges network-level organisation with individual contributor identity, giving coordinators a structured home for team configuration, service subscriptions, and operational records. Launching this month.