AI agents that actually work for your business.
Nexelab designs, orchestrates and supervises custom AI agent systems: admin task automation, document processing, outreach, support — connected to your existing tools.
What we do
Creation, orchestration and management of AI agents
A single agent is a toy. A system of orchestrated agents, connected to your data and supervised over time, becomes a reliable collaborator.
Custom agent creation
Agents designed for your real processes, not generic chatbots.
- Document and email processing
- Business assistants (accounting, HR, quotes)
- Connection to your tools (CRM, POS, ERP)
Multi-agent orchestration
Multiple specialized agents cooperating under a conductor, with clear rules.
- LangGraph architectures / workflows
- Routing, memory and guardrails
- Human in the loop at key steps
Management & supervision
An agent in production is measured, evaluated and improved. We handle the run.
- Decision observability and traceability
- Continuous quality evaluation
- Maintenance, costs and scaling
Method
From use case to production system
An iterative approach: we prove value on a reduced scope before industrializing.
Use case audit
We identify high-volume repetitive tasks and quantify the expected gain.
Pilot agent in 2–4 weeks
A first functional agent, tested on your real data, validated by your teams.
System integration
Tool connections, multi-agent coordination, guardrails and human validation.
Continuous supervision
Dashboards, quality evaluation, cost optimization and evolutions.
Real cases
Systems already in production
ELIAS
Multi-agent personal assistant connected to WhatsApp: captures tasks from team conversations, classifies, schedules and follows up.
Cytoscope
Multi-agent biomedical research system: literature analysis, citation validation and AlphaFold structural predictions.
Enerbat
Automated outreach platform for energy renovation: targeting, generation and postal dispatch driven by agents.
Technical foundation
AI on the surface, 10 years of engineering underneath
A reliable agent rests on solid software architecture: robust APIs, mastered cloud, security and clean data.
Agent engineering
Platform & integrations
About
Vincent Vergès, founder
Full-stack developer for over 10 years and multi-sector entrepreneur (restaurants, building services, e-commerce), I build AI agents to solve problems I face myself daily. Based between Annecy and Geneva, I work directly, no middleman.
What task should your agents handle first?
30 minutes to identify together your most profitable use cases. No commitment, no jargon.