Build autonomous AI agents and multi-agent systems that set goals, plan, and execute complex workflows with minimal human intervention.
Autonomous agents that reason, plan, and act — replacing fragile rule-based workflows with adaptive AI systems.
Agents that orchestrate end-to-end business processes — from document intake to decision routing — adapting in real time when exceptions arise.
Coordinated teams of specialized agents that divide complex tasks, share context, and converge on results faster than any single model.
AI assistants embedded in your IDE and CI/CD pipeline — writing tests, reviewing PRs, and deploying patches with human-in-the-loop guardrails.
Conversational agents that handle support tickets, qualify leads, and schedule meetings — escalating to humans only when needed.
Map your workflows, identify automation candidates, and design the agent topology — single agent, multi-agent, or human-in-the-loop hybrid.
Define the tools your agents can call (APIs, databases, code interpreters) and the memory systems that let them learn across sessions.
Rapid prototyping with Claude, GPT, or open-source models. We test with real data, measure task completion rates, and iterate weekly.
Guardrails, observability, cost controls, and graceful degradation. Your agents run reliably at scale with full audit trails.
We were building autonomous systems before "agentic" was a buzzword. Our team has deployed agents in finance, insurance, and consulting at enterprise scale.
Claude, GPT-4, Llama, Mistral — we pick the right model for the job. No vendor lock-in, no religious wars.
The engineers who architect your system are the same ones who ship it. No handoffs, no knowledge loss, no management layers.
Tell us about your project
or email directly: fernandrez@iseeci.com