The renewal quote landed and the number no longer makes sense. We model the open-source route — licence cost, migration effort, and what your team keeps owning. You get a written comparison you can take into the renewal conversation, and a concrete plan for what changes if you switch.
Your data, workflows, and roadmap live inside someone else's product. We plan the exit in phases, so the business never stops while you take ownership back. You get a phased migration plan, a running system at every step, and full ownership of the result.
The direction is decided; the shortlist is a mess. We evaluate candidates against your workflow and constraints, then commit to one — with the reasons in writing. You get a documented decision your team can stand behind, not a gut call nobody can defend later.
The demo convinced everyone, and production keeps slipping. We harden the pilot into a deployed, monitored, supported system your own team can run. You get a production system with monitoring and support already in place, not another demo waiting on a green light.
The board wants AI; compliance wants controls. We build the governance frame first — roles, review gates, audit trails — then ship use-cases through it. You get an AI system compliance can actually sign off on, not a pilot stuck in permanent review.
> From the first vendor-neutral evaluation to the system your own team runs — we don't hand off at the demo and disappear.
> Selection, licensing, implementation, deployment, and ongoing operation — one accountable team, start to finish.
Vendor-neutral evaluation of the open-source and commercial landscape, so the tool you commit to is the one your team can actually run. We look at your real workflows and skill sets, not just feature lists, so the recommendation still holds up after the demo is over.
Licence models, subscriptions, and open-source obligations negotiated and documented before they become renewal-day surprises. Every system gets a plain-language record of what it costs, what it obliges you to do, and what leaving it would take.
Servers, networks, and firewalls up to the business applications on top — implemented, integrated, and handed over with documentation that survives us leaving. We build the full stack and connect it to the tools you already depend on, so your team can run it without calling us first.
Ongoing operation, patching, and support from the engineers who deployed the system — not a ticket queue that has never seen it. When something breaks, you reach someone who already knows your setup, not a first-line agent reading from a script.
LEARNING MANAGEMENT // TUTOR TO UNIVERSITY
A learning management system that scales from a single tutor to a full university — courses, cohorts, assessment, and administration on one platform that grows with the institution instead of being replaced by it.
Tutors // Academies // Universities
MODULAR ERP // MANUFACTURING & TRADE
A modular ERP for manufacturing and trading businesses — start with the module that hurts most, from production planning to storage and inventory, and switch on the rest as the operation grows.
Manufacturers // Distributors // Traders
AI CAPABILITY CENTER // AGENT OPERATIONS
Discover, orchestrate, govern, and observe the AI agents working across your organisation — one capability center that turns scattered experiments into an accountable, auditable AI operation.
CIOs // Platform teams // Regulated orgs
INVESTIGATIVE DATA // CONNECTIONS & EVIDENCE
Ingest any data — documents, records, exports, logs — and IntelliDB surfaces the connections between entities and the evidence behind them, built for investigations that have to stand up to scrutiny.
Investigators // Audit & compliance // Analysts
$ SCAN SECTOR --focus=manufacturing
> Vendor management, production planning, and inventory — moved off spreadsheets and onto open-source ERP the operation actually owns.
> "They didn't start with the model. They started with who signs off — and that's why this is the one AI project we've actually taken into production."
