We're building the infrastructure for autonomous work
The question isn't whether AI can automate work—it's whether enterprises can trust it to. We built the infrastructure layer that makes autonomous agents safe, coordinated, and intelligent enough for critical operations.
The problem we're solving
Every enterprise wants autonomous agents. The promise is clear: AI that handles customer outreach, qualifies leads, schedules meetings, updates CRMs, and coordinates across teams—without human intervention.
But here's what stops them: How do you prevent two agents from emailing the same customer? How do you audit what agents are doing? How do you roll back a mistake? How do you make agents understand context—not just keywords?
Most AI platforms give you models and APIs. They don't give you orchestration, governance, memory, or contextual intelligence. That's the infrastructure layer we built.
Why "EQ"?
Emotional Intelligence. The ability to read context, understand nuance, and execute with judgment.
Most AI agents are brittle—they follow scripts, miss context, and break when the real world doesn't match their training data. OrionEQ agents adapt to sentiment, urgency, and hierarchy. They understand when a customer is frustrated, when a deal is urgent, when to escalate.
That's what makes autonomous agents safe for enterprise operations. Not just intelligence—contextual intelligence.
Where we fit
Where your data lives
What your data means
What gets done with your data
OrionEQ sits between your data systems and your operations—the execution layer that coordinates agents, ensures governance, and brings contextual intelligence to autonomous work.
Who we are
We're a passionate team who believe autonomous agents are the next platform shift—but only if they're built on the right foundation.
We've built systems at scale. We know what breaks when you go from 10 agents to 10,000. We know what enterprises need to trust autonomous operations: audit logs, rollback, kill-switches, and contextual intelligence.
OrionEQ is that foundation. The infrastructure layer that makes autonomous agents safe, coordinated, and intelligent enough for enterprise operations.
Work with us
We're building the infrastructure for the next decade of work. If you're an engineer who wants to work on hard problems—orchestration, distributed systems, contextual AI—or a go-to-market leader who understands enterprise software, we want to hear from you.
We're early, well-funded, and working with some of the most ambitious enterprises in the world.