Build AI agents your organization can govern end-to-end.
Alquimia is the sovereign Low-Code platform to deploy and operate production-grade AI agents — open source, composable, and running on the infrastructure your organization controls. Full visibility, no lock-in.
ArSAT, Argentina's state-owned telecommunications company, runs Alquimia Agentic Platform on Red Hat OpenShift AI in their own datacenter to modernize customer support — keeping every interaction inside their perimeter, with every AI decision auditable end-to-end.
Two technologies. Two organizational problems. One sovereign foundation.
Agentic Platform
Build AI agents that operate your business — from customer support to IT and financial workflows. Sovereign deployment. Full governance.
Vision
Turn your cameras into AI agents that watch, decide, and document. Real-time computer vision and AI-powered forensic analysis, governed frame by frame.
What you get with Alquimia.
From prompt to production, without a data science team
Configure agents in plain language — tools, prompts, guardrails. Deploy them on the infrastructure your team already operates. The same platform takes you from prototype to scale without rebuilding your stack.
Audit-ready by default
Every decision traceable. Every metric reproducible via Gaussia. Every model swappable. Compliance is a property of the platform, not a project you start when the auditor walks in.
No vendor lock-in, ever
Open source base. Open evals. On the infrastructure you control. The day you decide to leave, you take the agents, the configurations, and the data with you.
Sovereign by design.
Sovereignty is the property an organization has to keep before deploying AI at scale — at Alquimia it stays with you. Security, observability, and governance are baseline, not extensions bolted on when the auditor arrives — and open source is what keeps that credible.
Data never leaves your perimeter.
Every input, embedding, and log stays on infrastructure you control. Nothing is shipped to a vendor's account.
Models are yours to choose and swap.
Run open or commercial models, replace any of them, and keep only the ones your teams have approved.
Agents are configured in plain language.
Define tools, prompts, and guardrails without a data science team — and change them the day your process changes.
Decisions are traceable from prompt to action.
Every decision is auditable down to the model and version that produced it.
Runs on your infrastructure
No data path through someone else's account. Compatible with Red Hat OpenShift AI.
Open source base
Inspectable, replaceable, no lock-in. Audit any decision to the model that made it.
Open evals via Gaussia
Every behavioral metric reproducible in your environment. Crafted by Alquimia.
gaussia.aiIndustries we serve.
From state-owned operators to regulated mid-market teams, we deploy AI agents where compliance, sovereignty, and traceability are non-negotiable.
Featured reading.
Foundational pieces curated by the team — not the latest, the most useful.
Sovereign AI as a board-level concern.
Why the question is no longer whether to deploy AI in the enterprise, but whether the deployment leaves the boardroom able to answer for it.
Evaluating AI agents you can actually audit.
A short tour of Gaussia — what it measures, how the metrics reproduce in your environment, and what auditability really means for an agent.
From prototype to production in regulated environments.
The handful of architectural choices that decide whether your AI agent ships to production or stalls in the pilot for another quarter.
Run production-grade agents you govern end-to-end.
We work with organizations building AI agents on their own infrastructure — corporate enterprises, state-owned operators, and regulated mid-market teams. A short call is enough to see if Alquimia is the right fit for your case.
Get in touch