Convr
AI underwriting workbench for commercial P&C insurance with agentic workflow agents achieving straight-through processing and 97% document accuracy.
Overview
Founded in 2016 by underwriters Harish Neelamana and Kuldeep Malik, Convr develops AI-powered solutions for commercial P&C insurance underwriting. The company raised $15-18.2M from investors including Altos Ventures, NFP Ventures, Palm Drive Capital, and Stage 2 Capital.
In early 2026, Convr launched agentic AI workflow agents for autonomous underwriting decisions, marking a shift from rule-based automation to proactive AI that operates "much like a digital team member," according to CEO John Stammen. The platform achieved validation through Zurich North America's expanded partnership building on their 2017 relationship, and Lucid Insurance Group's straight-through processing with complete automation from submission intake through policy administration.
Convr positions itself as the "fourth core system" alongside policy, billing, and claims systems, targeting infrastructure-level adoption with a proprietary data lake containing 85+ million business records and 9+ years of commercial P&C historical data.
Key Features
- Agentic AI Workflow Agents: Autonomous agents for referral, declination, financial analyst, and underwriting authority functions with pre-built templates requiring no prompt engineering
- Intake AI: Patented intelligent document automation with 97% accuracy and 30-second processing times versus hours for manual processing
- Commercial P&C Ontology Engine: Specialized framework developed since 2016 with JSON output for unified data integration across insurance documents
- Risk 360: Data enrichment combining extracted document data with third-party sources from 85+ million business record data lake
- Straight-Through Processing: Complete automation from submission intake through policy administration system integration
- Confidence Scoring: Field-level verification enabling autonomous decision-making with human-in-the-loop quality control
Use Cases
Autonomous Underwriting Workflows
Insurance carriers deploy Convr's agentic AI agents to automate underwriting decisions without human intervention. Harish Neelamana explains agents can "make the referral, drive the declination process, and make corrections on initial clearance and triage" autonomously.
Enterprise Straight-Through Processing
Lucid Insurance Group achieved complete automation from submission intake through BindHQ policy administration, while Zurich North America expanded their 8-year partnership across multiple business units starting with automobile lines.
Commercial P&C Risk Analysis
Underwriters leverage Convr's specialized ontology for commercial property and casualty documents including ACORDs, loss runs, and SOVs. Chris Healey from Zurich notes this "goes far beyond data extraction" to improve "understanding of the true risk profile" through enriched exposure data.
Technical Specifications
| Feature | Specification |
|---|---|
| Core Products | Intake AI, Agentic Workflow Agents, Risk 360, AI Underwriting Workbench |
| Autonomous Agents | Referral, declination, financial analyst, underwriting authority |
| Document Types | ACORDs, loss runs, SOVs, schedules, financial statements, broker forms |
| Accuracy | 97% extraction accuracy |
| Processing Speed | 30 seconds vs hours manual |
| Data Lake | 85+ million business records, 9+ years historical |
| Workflow | Straight-through processing with autonomous decision-making |
| Integration | BindHQ, Excel, API to policy systems, rating engines |
| Output Format | JSON via commercial P&C ontology engine |
Resources
Company Information
Headquarters: Schaumburg, Illinois, United States
Founded: 2016
Founders: Harish Neelamana, Kuldeep Malik
CEO: John Stammen
Funding: $15-18.2M (Altos Ventures, NFP Ventures, Palm Drive Capital, Stage 2 Capital)