AI-DRIVEN SOFTWARE DELIVERY
Automate your entire software development process — end to end, from idea to production.
DevCurrent delivers and modernizes your software, from new systems to the ones you've had for decades: faster, at a quality that holds and at lower cost, while your people stay in control at every step.
Claude, GPT, Gemini, GLM and open-source models
AWS, Google Cloud, Azure or your own servers
GitHub, GitLab, Azure DevOps, Jira, Confluence, Slack, Teams, Figma
ON EVERY JOURNEY
Faster, better and cheaper — on every journey.
Delivered sooner
Agents take the work from specification to finished code while your people make the decisions. What has waited for capacity gets going.
Quality that holds
Every layer is reviewed and tested before the next begins. The same standard on every project, whoever is staffed on it.
Lower cost
Less spent on contractors and fewer hours on repetitive work. You pay for one licence and your own model use, not per user.
SIX JOURNEYS
Six journeys — from first idea to running system.
Every journey runs faster, holds the same quality and costs less than doing it the old way. One platform for the whole team: product owners, architects, developers, testers and security leads work in the same journey, each at their own gate.
The Studio interviews you, finds the gaps and contradictions, and turns the idea into a complete, certified specification, ready to plan and build. See the journey → Specification to clickable prototype Stakeholders won't sign off on a document. They need to see it.
A clickable prototype straight from the specification. Feedback and sign-off come before a single line is built. See the journey → Existing system to new features New features are needed, but every change in a tangled codebase is a risk.
DevCurrent maps your code and the impact of the change first, then builds, reviews and tests the feature safely. See the journey → Legacy to modern system An ageing system nobody dares touch, and modernization quotes measured in years.
DevCurrent understands the old system, decides with you what to carry, redesign or drop, rebuilds it on a modern stack, and proves it still behaves the same. See the journey → Specification to production The specification is signed off, but building it still needs a team and months you don't have.
The full pipeline — architecture, data, backend, frontend, tests, security review and deployment — with your approval at every gate. See the journey → Existing code to audit report No one knows what is really in the code: the risks, the weak spots, the untested parts.
A full security, architecture and test-coverage audit, with the fixes and the missing tests ready to apply. See the journey →
HOW IT WORKS
One governed pipeline — a specialised agent for every role.
A brief or an existing repository goes in. Specialised agents run the whole software lifecycle, from specification and design through data, backend and frontend to review and release. Every layer is reviewed and tested before the next begins, failed checks are fixed automatically, and every stage leaves a reviewed result and an audit entry.
- 1 · Specify and plan Requirements collectorRequirements analystProject planner Approval
- 2 · Design Solutions architectArchitecture reviewUX designer Approval
- 3 · Data Database engineerCode reviewTesting Approval
- 4 · Backend Backend developerCode reviewTesting Approval
- 5 · Frontend Frontend developerCode reviewTesting Approval
- 6 · Review and ship Security and standardsFinal code reviewTechnical writerDevOps Approval
Read the text in the film
- One governed pipeline. A brief enters. 19+ specialized agents ship it — humans in control at every gate.
- Specify & Plan — the brief becomes a certified spec and a tracker-ready backlog.
- Design — architecture is drawn, reviewed, then the UX. Each agent reads the last one's output.
- Data layer — built, then reviewed and QA'd before anything moves on.
- A check fails — so an automatic fix loop re-runs the work until it passes.
- Passed. The layer is complete and gated.
- Backend layer — built directly on the real data layer, not a mock.
- Frontend layer — the final layer, reading real backend output.
- Review & Ship — security, code review, docs, and deploy.
- Final review finds an issue — the work is sent back to the Frontend layer to fix.
- The fix flows forward again — every stage re-runs and is re-approved.
- Cleared at every gate — now it ships.
- Governed, end-to-end, automated. Every stage reviewed and gated · nothing ships without a human yes.
ON YOUR TERMS
Fully autonomous. Fully gated. You set the dial.
The same pipeline runs at any level of autonomy, from zero-touch runs to a human decision at every stage.
Fully autonomous
End-to-end runs with automatic fix loops and no human touch
Good for: Prototypes, internal tools, evaluations
Hybrid
Gates exactly where you want them, for example automatic through the build with sign-off on security and release
Good for: Teams that trust the build and want control at the edges
Fully gated
Every stage pauses for its assigned person, so the right reviewer gates the right work
Good for: Regulated work and the public sector
Governance never switches off. At every level, every run produces the same reviewed results, audit trail and cost controls.
WHY DEVCURRENT
Why buyers say yes — for the business and for engineering.
For the business
Cut delivery cost, keep the output
DevCurrent takes over a large share of what you spend on external consultants and contractors, and with unlimited users there's no per-seat creep as adoption grows.
Faster delivery, same headcount
Delivery runs faster, and capacity grows with delivery streams, not hiring. The backlog that has waited for budget moves now.
AI adoption you can actually approve
Access control, a full audit trail, cost caps, deployment in the region you choose, and compliance with GDPR and the EU AI Act: the AI your security, compliance and procurement teams can sign off.
For engineering
Quality that doesn't depend on staffing
Every layer is built, reviewed, tested and gated, so quality holds on every project, whoever is staffed on it.
Touch the systems you've been avoiding
Understanding and an impact map come before any change, so legacy stops being the risk that stalls the roadmap.
Fits your stack. Leaves cleanly.
Your sign-in, your Jira or Azure DevOps, your repositories, your cloud, your choice of models. If you ever leave, the code, tests and documentation are yours.
Try it on your own case. A joint pilot: DevCurrent, your team and ours deliver a real need of yours — a new solution built from scratch, or a change or modernization of your own code — inside your own environment. You see the result before you commit.
Contact us to start your journeyEXISTING SYSTEMS
Built for the code you already have.
Most organisations don't start from a blank page. DevCurrent reads every language, from COBOL and Delphi to C#, Java and TypeScript, and understands whole estates across many repositories. Every change starts with an impact map, and a modernization is proven to behave as the old system did.
SOVEREIGNTY
Your models. Your cloud. Your region.
Any model
Claude, GPT, Gemini, GLM, Llama, Mistral and other open-source models, or your own. Choose per workspace, even per agent.
Where you need it
In Europe for European organisations, in the US for American ones, or strictly inside your own environment. Your AWS, Google Cloud or Azure account in the region you choose, or your own servers, even with no internet access.
Nothing leaves
The platform sends nothing to us, no telemetry. Your code and data stay in your environment; in a joint pilot, our people work with them only there, alongside your team.
Fully sovereign when you need it
On your own servers with open-source models, DevCurrent runs with no third party involved at all.
European by birth
DevCurrent AS is a Nordic company, based in Oslo.
SECURITY AND COMPLIANCE
- GDPR and EU AI Act compliant
- Single sign-on and SCIM
- Multi-tenant workspaces
- A full audit trail
- Cost caps
Built for the public sector, too.
New digital services, and systems that must run for decades — under full public control.
Why not just use a coding assistant?
Coding assistants make one developer faster. DevCurrent runs your whole team's delivery: specialised agents for every role, review and testing at every layer, gates your people hold, cost controls and a full audit trail. Your developers keep their assistant: Claude Code or any MCP client can drive DevCurrent directly.
Models are the engine. DevCurrent is the factory built around them.
The full answer →Start your journey.
See DevCurrent run a journey that matches your problem. We reply within one working day.