Calibrax AI

Calibrax builds agentic AI systems that actually work in enterprise environments. Most AI tools are generic and dangerous — they hallucinate, they have no guardrails, pilots never ship to production. Calibrax is different. They embed directly with your team, encode your actual business logic and workflows into a "Business Context Protocol," then deploy agents that understand your enterprise like your best people do. Every system ships with RBAC, audit trails, and human-in-loop controls baked in from day one. Their platform, Calibrax Grid, is a command center for orchestrating and monitoring your entire agentic workforce — one dashboard to see every agent, every decision, every audit trail.

The team knows this inside out. Co-founders Chee Hong and Jenna built ML infrastructure at MoneyLion that powered underwriting and risk engines across 20M+ users. Chee Hong was part of the KL engineering team that scaled from 5 to 300+ people and helped take the company to a NYSE listing and ~$1B acquisition. They're not theorists — they've shipped production AI at scale. Now they're solving the real bottleneck: how to move agentic AI from proofs of concept into live revenue-driving systems.

Finance teams use Calibrax for reconciliation — turning manual work that takes months into error-free automation in days. Marketing teams deploy autonomous content teams running 24/7. They're based in Kuala Lumpur with 5 open positions, actively hiring in Malaysia. If you're building AI or data infrastructure, this is where enterprise agentic systems actually become production-ready.