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Multi-agent orchestration for efficient development
Specialized AI agents work together as a coordinated group under human supervision to plan, build, and test code.Adaptive learning of organizational context
The tool learns and adapts to company standards, domain logic, and development practices over time.Security and governance in the development process
Development takes place in a controlled environment that meets requirements for data protection, cybersecurity and human control.Flexibility in AI vendor selection and model management
Supports multiple major language models and enables offline use of open models, reducing vendor lock-in.AI and data transformation company Solita today announces the launch of Solita RoadCrew Agentic Orchestrator (Solita RoadCrewAO™), a multi-agent tool for autonomous software development in large organizations. The launch is an important step forward in how software can be designed, built, and deployed in complex organizational environments.
Solita RoadCrewAO™ enables a smarter, faster, and more adaptive way of working by orchestrating specialized AI agents that collaborate throughout the development lifecycle. The agents learn from the organization's context and adapt over time, while working under human supervision.
Built for development teams, Solita RoadCrewAO™ helps organizations coordinate specialized AI agents to plan, develop, test, review, and document code in a secure and controlled environment. Unlike coding tools that rely on individual agents, Solita RoadCrewAO™ combines multi-agent collaboration with human control, and unites automation with accountability.
– Solita RoadCrewAO™ is not a small improvement, but a clear step towards a new way of developing software. Agentic development is changing how software is designed, built and managed, supported by high-quality, well-managed data and a clear business context. Driven by rapid advances in AI, both software companies and enterprise customers are adapting to new opportunities and risks. The most forward-thinking organizations are already seizing the opportunity to move faster and work smarter, and we have developed a new way of working and delivery model to support that transition,” says Ossi Lindroos, CEO at Solita.
A coordinated group of AI agents for software development
Solitas RoadCrewAO™ consists of specialized agents who plan, build, test and review code. The AI-powered tool offers a controlled environment that helps users meet requirements related to data protection, cybersecurity and appropriate human oversight at all stages of development.
Solita RoadCrewAO™ reduces the risk of lock-in to a single AI vendor by enabling the use of any large language model (LLM), including OpenAI (ChatGPT), Anthropic (Claude), Google (Gemini), DeepSeek, and Ollama, and also supports offline use with open source models.
Learning together with machines: from AI assistants to coordinated groups of AI agents
Solita has made significant investments in AI transformation and developed a portfolio of AI accelerators, including the Agile Data Engine, Solita FunctionAI®, Solita CollabAI™ and Solita RoadCrewAO™. With over 700 software developers and 850 data and AI specialists in Europe, the company combines deep technical expertise with enterprise-scale delivery capabilities.
– Agentic development marks a shift: machines can now, like humans, learn from their own mistakes. But creativity, leadership and responsibility still lie firmly in the hands of humans. The future is not about AI replacing developers, but about intelligent systems that empower expert teams, says Lasse Girs, Head of AI Transformation at Solita.
Key features of Solita RoadCrewAO™
Solita RoadCrewAO™ as a multi-agent tool for software development enables:
- Multi-agent orchestration: Specialized agents collaborate as a coordinated and quality-controlled development team under human review
- Context awareness: Solita RoadCrewAO™ learns the organization's standards and context, domain logic, and development practices
- Enterprise-wide governance and security: Development occurs in a controlled environment designed to support data protection, cybersecurity, and human control requirements
- High-quality and easily maintainable code: Continuous measurement and adherence to architectural principles ensure that the code base does not lose quality as agents generate more code
- Autonomous workflows: Agents independently handle tasks such as code generation, refactoring, testing, and documentation
With over 15 years of experience in AI support Solita large organizations in AI transformation by helping them identify business opportunities, manage risks and scale AI effectively. Solita works with leading technology providers such as Microsoft, Google, AWS, Databricks and Snowflake, and supports EU sovereign cloud implementations in partnership with UpCloud. Solita has over 2,100 employees in Europe.
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