Architecting the Distributed Era
Distera designs, secures and runs AI, cloud and data systems in production — and trains the engineers who keep them running.
Our working stack
01Expertise
Three practices, nine areas — combined as your project needs.
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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.
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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.
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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.
02Distera Labs
We start with a one-to-two-week Technology Assessment, then build in scoped, time-boxed phases with a clear deliverable at the end of each.
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.
03Why Distera
1
We judge our work by what runs in production — monitored, documented and handed over — not by slides.
2
Every phase ends with a document you keep: report, architecture, runbook. You are never locked in.
3
The engineers on your project also teach at Distera Academy. Explaining clearly is part of the job.
04Distera Academy
SQL, Airflow, Kafka, Spark and cloud data platforms — build the pipelines that analytics and AI depend on.
75 000 FCFA
Design agentic workflows with tool calling, connect them to business systems and run them in production.
120 000 FCFA
Linux, Docker, Kubernetes, Terraform, CI/CD and observability — from first server to production platform.
140 000 FCFA
From Python and APIs to LLM applications, RAG and agents — deployed, evaluated and secured in production.
160 000 FCFA
05Team
A deliberately small team: the people who scope your project are the people who build it.
Amby SAMBA
Ingénieure en Informatique
Malick BA
Ingénieur en Informatique
Ndeye Maguette Kane
Ingénieure en Informatique
Omar Boune Khatab THIAM
Ingénieur en Informatique
Describe it in a few lines. An engineer replies within one business day with a first read and, if it's a fit, a proposal for a Technology Assessment.
