Distera Labs
Distera Labs is our engineering practice. We work in scoped phases with written deliverables: a diagnostic first, then the build, then ongoing support if you want it.
01How we work
Every phase has a defined scope, a fixed timeline and a written deliverable. At the end of each one, you decide whether to continue.
1–2 weeks
A review of your infrastructure, software, security and data, with a written report: risks, priorities, a target architecture and a roadmap.
4–8 weeks
One business workflow, analyzed and automated: architecture, working prototype, then production rollout with your team.
6–12 weeks
A cloud platform, a data pipeline, an Odoo rollout or a legacy migration — delivered in milestones, each with its own acceptance criteria.
Monthly
Maintenance, improvements and operational support once your system is in production, on a monthly agreement.
02Areas of expertise
01 / 03
AI that does real work: models, agents and analytics wired into your operations.
AI Engineering
LLM applications, RAG and AI agents built for production — evaluated, monitored and secured.
AI Agents & Automation
Agentic workflows that take repetitive work off your teams, connected to the tools you already use.
Data Science & BI
Machine learning and business intelligence that turn your data into forecasts and decisions.
02 / 03
The foundations: cloud platforms, distributed systems and the security that holds them together.
Cloud & Platform Engineering
Cloud architecture, Kubernetes and internal platforms that scale with your product and stay reliable.
Software & Distributed Systems
Distributed systems and backend architecture designed for load, failure and change.
Cybersecurity
Security audits of your information systems and hardening of your infrastructure — AI systems included.
03 / 03
What runs the company day to day: data flows, ERP and the legacy code nobody dares touch.
Data Engineering
Pipelines, streaming and warehouses that give your teams reliable data, on time.
Odoo ERP
Odoo implementation and integration — CRM, accounting, inventory — configured around how you actually work.
Legacy Modernization
Incremental modernization of legacy codebases, with the business kept running at every step.
Technology Assessment · 1–2 weeks
In one to two weeks: your main risks, the opportunities worth pursuing, a target architecture, a roadmap and an estimate of effort and budget.