Automate the software development lifecycle (SDLC) with agents
RoleAI agent engineer, working with your platform or DevOps team.
Layer 01 of the chain
Agent platforms, software development automation and business-process automation: we design, secure, deploy and supervise your agents. Your data stays within your perimeter, and your teams approve every sensitive action.
Security and human control
An agent that acts on your systems needs the same safeguards as a new colleague. We build the guardrails in from day one, not after the incident.
Proposed action
Send the prepared reply to the customer
Audit log
Agents and data hosted within your perimeter, on the cloud of your choice, European clouds included. Your data is never used to train models.
Each agent only reaches the data and tools its task needs, with limited, revocable rights.
Sensitive data masked, hijacking attempts blocked, answers checked before any action.
Payments, emails, releases, deletions: sensitive actions wait for sign-off from someone on your team.
Every decision, tool call and approval is recorded and open to your teams.
Quality evaluated continuously, costs capped, alerts on any drift, and any agent can be stopped at any time.
Your data stays with you, and no sensitive action goes out without human validation.
Our offers
Who you will work with
Designs the foundation your agents run on: models, orchestration, data access, security, hosting.
Builds your agents for software development and business processes, and takes them to production with ADK, LangGraph and LangChain.
Industrialises and supervises your agents in production.
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Technologies
Generic descriptions, no client details.
RoleAI agent engineer, working with your platform or DevOps team.
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Agentic platform architect, working with your platform team.
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AI agent engineer
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AI agent engineer
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AgentOps engineer
By design: each agent only reaches the data and tools its task needs, guardrails filter what goes in and out, and someone on your team approves every sensitive action. Everything is written to an audit log, and any agent can be stopped at any time.
No. Your data stays within your perimeter, and we set up the models and their hosting so that it is not used for training.
Sensitive actions wait for human validation, so a mistake is stopped before it has any effect. Answer quality is evaluated continuously, any drift triggers an alert, and every action can be traced in the audit log.
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