Made with AI. This image comes from a stock library and was generated with AI. It is not a photograph of our people or our offices. We use AI in our daily work, and we say so when we have.
Who we are
Relationships that change what we can do for a client: platform partnerships we are certified in, and a company we built and spun out.
Atlassian Gold Solution Partner
Gold Solution Partner status reflects certified capability across the Atlassian platform — Jira, Jira Align, Jira Service Management, Confluence, and the agentic capability now built into them.
It also means we can be straight with you about the license math. Our published research includes the independent analysis showing that, at some seat counts, a Cloud migration increases the license line rather than reducing it.
Incubated and spun out
An AI-native program platform that began as an internal project inside Envorso and was spun out as an independent company in September 2024, under founding CEO Ludovic Hauduc.
It now comes back into our engagements as a partner platform, giving program leaders real-time visibility into health, risk, dependencies, and compliance readiness — including ASPICE, ISO 26262, and cybersecurity standards.
Much of the engineering and IT estate our clients run sits on Microsoft — Azure for cloud infrastructure and DevOps, Microsoft 365 for how teams communicate and share their work. We design delivery around that stack rather than asking anyone to move off it.
Google Cloud and Google Workspace sit underneath a growing share of our clients’ data, AI and collaboration work. We build delivery and data practices that fit where an organisation already operates.
Incubated and spun out
A unified fan platform for professional sports organizations that replaces siloed vendor relationships with a single fan identity and one data layer. Built starting with the Seattle Seawolves, now expanding across Major League Rugby and beyond.
Founded by Todd Warren, Envorso advisor. The industry's vehicle software recall database, tracking every software recall on every vehicle since 1994.
Anthropic’s Claude models are at the centre of how we approach agentic software delivery, from research and requirements through to code and review. We use them in our own work every day, which is what lets us talk plainly with clients about what AI changes and what it does not.
The harder part is rarely the model. It is the operating model around it — roles, review and quality gates — and that is where most of our work sits.
OpenAI’s models are already standard in many of the organisations we work with. We work with them where they are in place, and help teams build the delivery practices that let AI-generated work reach production safely.
SPREAD brings agentic AI to product and requirements data across the vehicle program, from early design through verification and validation. At the core is an engineering ontology that maps parts, requirements, functions, and tests into one connected model, so a change in one place shows every place it touches. This turns slow, manual review work into fast, automated insight, cutting issue resolution time by 60% and helping teams catch problems before they become costly program risks.
Planview connects the pieces of portfolio management that matter most — strategy, investment, resources, and delivery — giving leaders a shared view of where the organization is investing and what it is getting in return. We design the governance, cadence, and ways of working around it.
Implementing the tool is only part of the transformation. The real value comes when the organization trusts the information, uses it to make decisions, and has the operating discipline to act on what the portfolio is telling it.
In the work
Platforms the team is hands-on with alongside clients. No partner tier is claimed here; this is where the work happens.
Requirements management for safety and cybersecurity critical automotive systems, using Jama Connect day to day. It keeps requirements, tests, and change linked and traceable across the project.
Application lifecycle management for regulated, requirements-heavy engineering programs. Codebeamer gives teams full traceability from each requirement through to a verified result.
The AI layer behind our engineering and delivery tooling, from research to code.
Source control and collaboration for every client codebase we touch.
Cloud infrastructure and DevOps pipelines for client platforms built on Microsoft's stack. This work sets up and runs the Azure foundation these platforms depend on, day to day.
Data and AI platform work for clients building on Google’s cloud rather than AWS or Azure.
Documents, mail and shared drives, when that is where a client’s programme already runs.
Certification
We are an accredited training provider for the intacs® Automotive SPICE® certification scheme, running assessor, process expert, and domain specialist courses.
No deck, no obligation. We listen, we tell you whether we have seen this before, and we say what we think it would take. If a Jump Start is the right next step we will say so, and if it is not, we will say that too.