For software houses, integrators, and development teams
Industrialize
software production.
The operating system that turns the work of AI agents into delivered software, with procedures, checks and approvals from requirement to release.
Agents speed up the code. Detent puts them on a line, from requirement to release.
Licenses alone do not change delivery: review, testing and acceptance stay manual. With Detent several agents work in parallel, the system verifies every step and the task arrives ready for production: no pull requests to read, just an OK.
- Software houses on contractOne method reused across clients
- Integrators and modernizationExisting code, business systems, integrations
- Product teamsA roadmap beyond the first prototype
- QueueThe plan splits the request into tasks
- WorkAgents in parallel, within budget and permissions
- VerificationThe system runs the tests, not the model
- ReadyAlready verified: one person’s OK is enough
- DeliveredWith proof of every step
Click a job to see the agents
“I need to bring AI into the company, but with a system. I can’t buy coding agent licenses and hope everything organizes itself and just works.”
productivity with AI for the top 20% of developers
for the other 80% of developers
the odds of beating +20% for those who redesign processes first
McKinsey, August 2026: 334 product and engineering leaders.
Like an assembly line: every request goes through the same seven stations.
From requirement to release, every job goes through the same stages: what has to be built, what context it needs, how the agents work, and who verifies and signs the result.
Phases, roles and team approvals.
The request becomes verifiable acceptance criteria.
The files and services the change touches, available to every task.
Agents write the code, within budget and permissions.
Independent tests and security checks, before human review.
A signature on the exact version that goes live.
If something breaks in production, the work reopens.
The setup defines which stations are activated and which require development or integrations. Team decisions and responsibilities are agreed before work starts.
Solidata, the first pilot customer.
Solidata is a software house that develops business systems, customizations, and integrations for multiple clients. The collaboration is part of a broader implementation and enablement path in which Detent's applications will be assessed. Its continuous development work offers a concrete first context to test the method, adoption, and reuse across jobs.
Agents become part of how your team works.
An agent’s value also depends on the instructions it receives, on the project context, and on how its work is verified. Detent exists to organize these steps into a shared, reusable procedure. At setup we assess the tools already in use and define the connections needed. The goal is a workflow the team can use, control and improve over time.
The people who build Detent work alongside you on the project.
“Won’t ChatGPT or Claude do it?” Everyone uses the engines. What counts is who puts them into production.
Detent does not compete with the engines: it uses them. It competes with the time of your best developers and with consulting hours.
- Who sets it up
- Everyone on their own
- Who keeps it current
- Nobody
- How it is paid
- Licenses
- Built for
- The individual developer
- Who sets it up
- Your best developers
- Who keeps it current
- The same people, pulled off projects
- How it is paid
- Your best people’s hours
- Built for
- Those who have the right people
- Who sets it up
- Your team
- Who keeps it current
- Your team
- How it is paid
- Licenses and usage
- Built for
- Large organizations
- Who sets it up
- The consultant
- Who keeps it current
- A new engagement
- How it is paid
- Hours
- Built for
- One project at a time
- Who sets it up
- Detent
- Who keeps it current
- Detent, within the subscription
- How it is paid
- Setup once, then a subscription
- Built for
- Software houses and development teams
We use agents too, and they are on the integrations list. The comparison is not about who writes better code: it is about who takes it to production with proof for every release.
Which part of development do you want to make more productive?
Tell us about a project, an engagement or an application your team has to evolve. Together we identify the workflow on which to install the line.
Talk to the founderDetent Bench
It is our internal benchmark, built on end-to-end tests from the request to production-ready. It does not measure how clever a model is on synthetic tasks: it says how powerful and complete the line actually is, all the way to release.
Detent Bench is not a model leaderboard: it is the proof of the line, from the request to a release that holds. With more comparable lines it becomes something else: knowing, with the evidence in hand, which work can be delegated, how completely, and at what risk.
Open the Detent Bench pageFrequently asked questions
How do you increase delivery capacity without hiring more developers?
You change the process, not the headcount. Detent configures the line that runs from a client request to production: procedures written once, context prepared for the agents, verification executed by the system, and a human signature before release. Agents do the repetitive work inside that line. Capacity grows because the method is reused across different projects, not because someone types faster.
Why do individual gains from AI coding agents not become team capacity?
Because the gain stays inside the session of whoever got it. An agent speeds up the person using it, but the context it received, the checks it passed and the decisions taken do not survive the end of the session. The next person starts over. The Stack Overflow Developer Survey 2025 measures the gap: 69% of agent users report higher individual productivity, only 17% report better team collaboration.
What does industrialising software production actually mean?
It means treating development as a repeatable production line instead of craft work that restarts every time. The same stages, the same checks, the same artifacts on every project: analysis, a contract for the unit of work, execution, automated verification, acceptance. It does not mean projects become identical. It means the method that carries them to production is the same and is not reinvented for each client.
Is Detent a code signing and certificate product?
No, and the distinction matters because products with similar names do only that. The human signature before release is one station on the line, not the product. Detent covers the whole path from request to delivery: procedures, context preparation, agent instructions, execution, verification, tests, security and production monitoring. A certificate without the process that produced it does not increase anyone's delivery capacity.
Who is accountable for agent-written code on a client project?
Whoever signs the release, as it has always been. What changes is what they need in front of them to sign: the original requirement, the agreed scope of the change, the result of verification executed by the system rather than claimed by the model, and the link between the three. Detent produces that trail as a by-product of the work, not as documentation written afterwards.
Does Detent replace Claude Code, Cursor or Copilot?
No: it uses them. Claude Code, OpenAI Codex, Cursor and GitHub Copilot are the same engines for everyone, Detent included. What is missing on your own is the line around the engines: procedures, context, independent verification and a signature before release. Detent does not compete with the engines: it competes with the time of your best developers and with consulting hours.
Why not build the system in-house?
You can, but your best developers build it, pulled off their projects, and then someone has to keep it current through every change of engine and method. Below 500 employees, that time is usually not there. With Detent we install the line and keep it up to date within the subscription.
Why not hire an AI consultant?
A consultant works by the hour on one project at a time, and when the engagement ends nobody keeps the line current. With Detent you pay the setup once and then a subscription: the line stays, gets updated and serves more projects with the same team, with proof for every release.
Do we already need to use AI agents?
We can start from your current process. If you already use agents, we assess how to put them into a shared method. If you are just starting, the setup includes the enablement needed for the agreed workflow.
Do we need an internal technical team?
The process requires a technical lead who can follow the work and verify the outcome. That can be an internal person or an external contributor. The responsibility must be defined before the start.
Which tools can you connect?
We review repositories, development tools, and existing workflows. The proposal specifies which connections are available and which require a specific integration.
What does it cost and how is it paid?
Setup once, then a monthly or annual subscription based on the number of developers. AI usage is the customer's, with no markup. Prices are still being defined: after the call we prepare a proposal with activities, timing, investment, and explicit team commitments.
What happens after the setup?
We measure the result and decide together whether to extend the line to other projects or engagements. The line stays installed and Detent keeps it up to date within the subscription. Usage, support, and maintenance terms are in the offer.