Built for Enterprise Reality
For over 11 years, Polyrific has built enterprise-grade systems where reliability, governance, and trust matter. Today we build and operate production AI solutions through Inferr.ing and the Catalyst Runtime—so organizations can adopt AI in focused, measurable steps.
Who We Are
Polyrific is a product and platform company delivering production AI outcomes for enterprises.
We don't chase AI for everything. We solve specific business workflows—document processing, underwriting analysis, claims evaluation, compliance review—where context, accuracy, and auditability determine success or failure.
Our platform foundation is Inferr.ing, our Enterprise Solution Engine for deploying Inference Apps, and Catalyst, the runtime that makes those applications reliable, governed, and observable. Every solution we deliver runs on this foundation.
Why We Exist
AI fails in production when it lacks context, governance, and operational control. Enterprise workflows require evidence, oversight, and repeatability—not probabilistic guesses.
Most AI tools weren't built for this reality. They work in demos but break under regulatory scrutiny, data complexity, and the need for explainable decisions.
We exist to make AI dependable for enterprise operations—systems that hold up under audit, scale with your business, and deliver measurable outcomes you can trust.
How We Got Here
Over 11 years building enterprise systems, we saw the same problems repeat: document chaos across dozens of formats, fragmented data that never connected, manual review processes that couldn't scale, and brittle automation that broke at the first edge case.
When AI tools emerged, they promised to solve these problems—but they weren't holding up reliably in real operations. They lacked the context, governance, and durability that enterprise work demands.
That led us to build Inferr.ing and Catalyst: infrastructure designed from the start to deliver governed AI outcomes repeatedly, not experiments that require constant intervention.
How We Deliver Outcomes
Proof Before Commitment
We validate value early and reduce risk. Every engagement starts with demonstrable outcomes before broader rollout.
Explainability by Design
Outputs are grounded in evidence. Every AI decision can be traced back to source data and reasoning, not black-box predictions.
Governance and Oversight
Human-in-the-loop when needed. Confidence thresholds, escalation paths, and audit trails are built into every workflow.
Enterprise-Fit Integration
Works with your systems of record. We integrate with existing infrastructure rather than requiring you to rebuild around us.
Measurable Outcomes
Clear metrics and operational impact. We define success criteria upfront and track performance continuously.
Built to Expand
Start small, reuse foundations across workflows. Each solution creates building blocks for the next.
What We Build
Inferr.ing is our Enterprise Solution Engine—a managed collection of production-ready Inference Apps designed for specific business workflows. From document extraction to underwriting analysis to compliance review, each app solves real operational problems with governed AI.
Catalyst is the runtime that makes those apps reliable, governed, and observable. It handles orchestration, model management, trust enforcement, and telemetry—so Inference Apps deliver consistent outcomes without constant intervention.
Together, they form the infrastructure for enterprise AI that actually works in production.
Built for Trust
11+ Years Enterprise Delivery
Building production systems where reliability and governance matter, long before AI made it fashionable.
Designed for Regulated Industries
Built for environments where every decision must be defensible and every process must be auditable.
Audit-Friendly by Default
Explainable outputs, complete audit trails, and governance controls are foundational—not afterthoughts.
Operational Visibility
Full observability into system performance, cost attribution, and continuous improvement opportunities.
If You're Ready for AI That Holds Up in Production
Let's talk about one workflow where better context, governance, and automation can create measurable impact—fast.