Infinity OS

The AI-native OS
for enterprise workflows.

Build agentic workflows on an AI-native canvas
and deploy anywhere on your systems.

Everything you need to run agentic workflows in one place

Infinity OS gives enterprises pre-trained applications, frontier models, AI agents, and integrations to run scalable agentic workflows.

Pre-trained Applications

Access domain-specific models with zero procurement friction and wire them into your workflow.

Integrations

Find over 200+ OAuth integrations to connect with cloud tools, ERPs, and payment systems to run across workflows.

Model Agnostic

Pick any of the frontier models, such as CHATGPT, Claude, and Llama, for foundational intelligence.

AI-Native Canvas

Plan agentic workflows with reasoning steps, API calls, human checkpoints, and decisioning on a node-based canvas.

Knowledge Base

Give workflows better context through shared knowledge spaces, either via cloud storage platforms or custom databases.

AI Copilot

From use case planning to solving a workflow step, brainstorm with our built-in AI copilot, Weave.

Private Cloud

For organizations in regulated industries, private cloud deployment ensures that proprietary data and workflow outputs remain compliant.

Built for complex
enterprise workflows.

Infinity OS gives enterprises pre-trained applications, frontier models, AI agents, and integrations to run scalable agentic workflows.
Banking & Financial Services
Credit Risk Assessment
Insurance
Claims Approval
Government & Public Sector
Information Retrieval
Transit & Infrastructure
Maintenance Scheduling
Accounts Payable & Finance Ops
Prior Authorization
Healthcare & Life Sciences
Prior Authorization
Legal & Compliance
Risk Assessment
Human Resources
Resume Screening

The control room for your AI operations.

Infinity OS ships with a monitoring dashboard that functions as your operations nerve center, showing you workflow health, run status, model latency, integration uptime, and exception rates across every deployed agent.

What changes when Infinity OS is in the picture?

Before
With Infinity OS
Result
Credit Risk Assessment · Banking
Analysts across 4 systems, spreadsheet scoring, and email approvals. Cycle: 3–5 days.
Single agent: bureau pull → model scoring → human review on exceptions only → decision logged.
6 hrs
avg. decision time
  • ↓ 83% from baseline
  • 100% audit coverage
KYC / CDD · Banking · Insurance
Manual ID review, watchlist cross-checks, disconnected risk ratings. Backlogs of 400+ cases/week.
Agent extracts, verifies, scores, and flags — human eyes only where the model is uncertain.
91%
cases fully automated
  • Backlog cleared in week 1 ·
  • Regulator-ready logs
Claims Processing · Insurance
FNOL → manual validation → damage estimation → email escalation. Average cycle: 11 days.
FNOL ingested, coverage validated, estimation model run, adjuster gets a full pre-populated case.
4.3
days avg. claims cycle
  • ↓ 61% · Adjusters freed for 
complex cases only
Invoice Processing · Accounts Payable
Manual receipt, coding, PO matching, and email exceptions. 18 min per invoice at scale.
Agent extracts, matches POs, flags discrepancies, routes exceptions, and posts to ERP automatically.
3.2
min per invoice end-to-end
  • ↓ 82% · Error rate <0.3%
  • Month-end unblocked
Regulatory Reporting · Banking · Government
Analysts gather, compile, and cross-check across systems. 3–4 weeks per report cycle.
Agent aggregates, validates, formats to schema, and surfaces for human sign-off — submission-ready.
4
days full report cycle
  • ↓ 87% · Zero errors post-automation
  • On-time every time
Benefits Eligibility · Government
Case officers manually verify eligibility, cross-reference entitlement rules, and process approvals over weeks.
Agent checks documents, applies entitlement rules, and routes edge cases to officers with decision rationale pre-filled.
2.1X
more cases/officer/day
  • 74% automated
  • Citizen wait time cut by half

Ready to transform how you process documents?  

Manage document processing intelligently
with AI-driven precision. 
Book a Demo
eclipse

Frequently Asked Questions

What inputs are supported?  
How do you handle poor-quality scans or mixed formats?  
Are explanations actually linked to evidence?  
Does Cred AI replace our LOS/LMS?  
Where does our data live?  
How is PII handled?  
How does Weave keep answers honest?