Building the Agent Accountability Platform
AI agents are making consequential decisions in production. We're building the infrastructure to make those decisions traceable, auditable, and accountable, and to close the gap between agent observability and AI governance.
Our Mission
Providex AI is the Agent Accountability Platform, the unified observability and compliance fabric for agentic workflows that answers, in one place: which agent took which action, when, based on which decision and policy, under whose authorization, and with what downstream impact.
We sit between agent observability (traces and metrics) and AI governance (documentation and assessments), and we close the gap neither category addresses: tamper-evident decision and action provenance that is both forensically useful and compliance-ready.
Today, most organizations deploying AI agents have no systematic way to answer the question: "What did your AI do, and why?" Providex AI exists to make that question answerable in a form a regulator, auditor, or legal counsel can accept.
We integrate with the tools your team already uses.
Providex AI transforms existing telemetry into audit evidence, with no rip-and-replace required.
Observability platforms
Langfuse, Galileo, BraintrustWe ingest your traces and normalize them to the Providex entity schema. Your telemetry becomes the foundation of an accountability record.
→ Langfuse connector shipping with Phase 2 (Comply)
AI security platforms
Zenity, Rubrik, Palo AltoBi-directional. Their agent discovery enriches our Agent entity; our Incident records stream back to your SIEM/SOAR: Datadog, Splunk, Sentinel.
→ Zenity / Rubrik integration shipping with Phase 3 (Enforce)
GRC platforms
Credo AI, Holistic AI, ServiceNowPhase 4 connectors share Agent inventory and Policy records, so AI governance becomes part of your enterprise-wide GRC posture.
→ Credo AI / ServiceNow shipping with Phase 4 (Govern)
Why Now
Agents are moving from demo to production
LangGraph, CrewAI, and AutoGen have made it easy to build multi-step agent pipelines. Enterprises are deploying them for customer support, data analysis, code generation, and workflow automation. The gap between 'cool demo' and 'production system making real decisions' is closing fast.
Regulators are catching up
The EU AI Act is law. SOC 2 auditors are starting to ask about AI systems. HIPAA covered entities are deploying AI agents that touch protected health information. The compliance question isn't 'if', it's 'when', and most companies aren't ready.
Incidents are already happening
AI agents have autonomously opened reverse SSH tunnels, accessed unauthorized APIs, and taken actions their operators never intended. In each case, the lack of structured provenance made forensics harder and accountability impossible.
Observability is not governance
Existing LLM observability tools track prompts and completions. They don't capture authorization decisions, they don't produce tamper-evident records, and they don't map to compliance frameworks. The governance layer doesn't exist yet. We're building it.
Team
Olasile is the Founder and CEO of Providex AI. A decade of building data-driven and AI-enabled products across fintech and healthcare, including roles at AWS and Adobe, taught him that in regulated domains compliance and data governance are never an afterthought. They are designed in from the start.
AI-first organizations should be held to the same standard. As agents move from demos into production, most teams still cannot prove what their agents did or why, in a form a regulator, auditor, or legal counsel will accept. Providex AI is built to give them that proof.
We're hiring
Coming Soon- ›First engineering hire: SDK and infrastructure
- ›First BD/partnerships hire: observability and security platforms
Get in touch
Have questions? Want to learn more? We'd love to hear from you.
olasile@getprovidex.com
Apply to Design Partner Program