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Agentic software engineering

By Aluxion

Chronos

From a spec or a ticket to reviewed, production-ready code — written by governed AI agents with full traceability, not a black box.

Chronos is the layer that makes an AI model work like another engineer on your team — with your rules and your standards. On top of the model, Aluxion adds skills, prompts, context and connectivity, so a spec or a ticket ends up as tested, security-checked code, proposed as a pull request for a person to approve.

Chronos in action: an agentic engineering session planning a landing page, with the live diff, checks and pull request alongside.

Capabilities

Multi-agent orchestration

A governed orchestration layer splits the work across specialised agents that plan, code, test and verify — each one in an isolated sandbox that never touches your machine.

Your company's context & standards

Skills and context connectors (including MCP) feed the system up-to-date language and framework docs plus your own standards and conventions, so the code comes out consistent no matter who — or what — writes it.

Quality, security & QA in one flow

Every change runs through automated tests and business-rule checks, an OWASP-based module that pentests the result, and a QA module with UI and end-to-end tests.

Documentation that stays current

Chronos writes functional, architecture, API and changelog documentation from the code itself, and keeps it up to date as the code evolves — so knowledge doesn't go stale or walk out the door.

Plugged into your ecosystem

It connects to your task tools (Jira, Linear, Asana) and your channels (Slack, email), and reaches your cloud preprod and dev environments for real context. A ticket goes straight into the flow.

Usage insights

An analytics module shows how the platform is being adopted across the company and what each person ships with it, so leads can measure adoption and balance the workload.

Model-agnostic & optimised

Chronos isn't tied to a single model or provider: connect different AI models and use the best one for each task, switching as the market evolves without reworking anything. Proprietary optimisers also cut token spend by 30–50%.

Local, sovereign & cross-platform

Code is generated on each engineer's machine (macOS or Windows) and pushed to your own repos, so it never leaves your walls. Licensed per user, with an optional cloud mode on your own infrastructure.

How it works

  1. 01

    Spec or issue in

    Start from a functional spec or a ticket in Jira, Linear or Asana.

  2. 02

    Agents build in a sandbox

    Specialised agents write the code, run the configured test suite and check the business rules in an isolated environment.

  3. 03

    Governed pull request out

    Chronos opens a Gitflow pull request in your repo for a person or a certifying agent to review and approve.

Outcomes

  • 30–50% less time on the tasks best suited to automation
  • 30–50% lower token cost, without losing quality
  • Less rework: bugs and vulnerabilities caught inside the flow, not after release
  • Faster reviews and shorter delivery cycles, traceable end to end
  • Consistent code, aligned with your company standards whoever builds it
  • Documentation that's always current, so knowledge isn't lost

The Renaiss system

Chronos is Aluxion's agentic engineering platform — the delivery layer behind Renaiss implementations. It's model-agnostic, runs on each engineer's machine and keeps your code inside your own repositories.

Frequently asked questions

What is Renaiss?

Renaiss is an enterprise agentic AI company. Our platform is built on three proprietary technologies that work as one system — RenBase (memory), RenLayer (control) and RenFoundry (the agent factory) — so organisations can put AI agents into production securely, under governance and in regulatory compliance.

What are RenBase, RenLayer and RenFoundry?

They are Renaiss' three proprietary technologies. RenBase is the company's memory: it connects agents to all your corporate context with citations and access control. RenLayer is the control tower: observability, governance and cost optimisation. RenFoundry is the agent factory: the platform your teams use to build and manage their own agents, wired into the other two layers.

How do the three technologies work together?

They form a single system: RenBase gives the context, RenFoundry builds the agents, and RenLayer controls and optimises them. Context, construction and control in one platform, so your agents are ready for production.

Is Renaiss compliant with the EU AI Act?

Yes. Governance, observability and data protection are built in via RenLayer, so you can deploy agentic AI under the EU AI Act with confidence — and meet other regulatory frameworks as you expand into new regions.

Where is my data stored?

RenFoundry is deployed inside your environment — on-premise, in the cloud or hybrid — so your data stays where you need it. Access is protected with SAML SSO, encryption and role-based access control.

How quickly can we go live?

Most enterprises reach a first production agent in around two weeks, following a three-phase model: assess and strategise, implement and deploy, then optimise and scale.

How does Renaiss reduce AI costs?

RenLayer uses smart model routing and optimisation to cut inference and operating spend by up to 40%, while preserving quality and governance.

Move faster. Reduce costs. Trust your AI.

See how Renaiss gives your agents memory, control and a factory to build on.