Transform software delivery with AI.
We help CIOs and CTOs redesign software delivery around AI, from deciding what to build to designing, developing and releasing it. We lead the technical transformation and the change in how product, design and engineering teams work together.
From the first insight to the next release.
The opportunity is to shorten the path from a customer need to software in production. We redesign every stage of that path, and how work moves between them.
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1. Insights
Connect customer feedback, product usage and business priorities to decide what to build and why.
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2. Conception
Turn priorities into specifications, designs and architecture decisions that guide development.
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3. Production
Turn those specifications into working software, with agents and engineers sharing the context from discovery and design.
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4. Release
Test, validate and deploy changes. Monitor results in production and feed what you learn into the next decision about what to build.
Across every stage, we define what AI handles, where people apply judgment, and who is accountable. The tools, handoffs and decision-making change together.
We build it with your team. We help them own it.
We work alongside one team for 30 days, with the people responsible for product, design and engineering. We redesign the delivery process on real work, from incoming insights through to release. Two workstreams run together from day one.
Technical transformation
We connect your sources of insight, specifications, design, code and deployment systems into one delivery process. We build the AI workflows, shared context and controls that make it work, within your existing stack and security requirements.
Change management
We work with product leaders, designers, engineers and managers to redefine roles, decisions and handoffs across the full delivery cycle. We coach the team on live work, address concerns as they arise, and train internal champions to sustain the new way of working.
You leave with a redesigned delivery process, a team that can run it, and a before-and-after view of performance. We measure the time from an agreed priority to production, delivery throughput and quality, so you can decide where to scale next.
Start with one team. Build the foundation for the company.
The first team establishes the workflows, controls and training you can extend across your product and engineering organization. Each rollout builds your own capacity to lead the transformation.
Our ambition is to change how work gets done across the enterprise: agents carry out tasks, while people set priorities, make decisions and take responsibility for results. We start with software development, then extend the approach to sales, customer success and operations.
At that scale, agents need shared context: your processes, systems, decisions and responsibilities. We call this the company world model. It gives people and agents a common understanding of the business they work in.
Led by founders who build software with AI every day.
Vizir. Thomas and Benoit founded a no-code chatbot company in 2018, grew it to €1M in annual recurring revenue without external funding, and sold it to LumApps at the end of 2022.
LumApps. They then led engineering at LumApps at the cutting edge, putting AI methods to work across every team, and grew the AI product line from €1M to €10M in annual recurring revenue in three years, within a company of several hundred people.
Otto, and today. At Otto, their software company, Thomas and Benoit use agents to build software and run a team of two. They bring that daily experience to established engineering teams, adapting the workflows to existing codebases, people and constraints.
Your engagement is led by the founders who build and work this way every day.
Choose where to start.
In 30 minutes, we discuss your delivery priorities, how your teams use AI today, and what is holding them back. Together, we identify a first team, what needs to change, and how to measure success.