Cognaize
Cognaize is an intelligent document processing company offering hybrid intelligence solutions combining AI with expert-in-the-loop workflows for financial services document automation.
Overview
Founded in 2020 by Vahe Andonians and headquartered in New York, Cognaize specializes in intelligent document processing for financial institutions. The company raised $18M in Series A funding led by Argonautic Ventures with participation from Metaplanet. Cognaize's platform is trained on over 1.3 million financial documents and serves major global banks, rating agencies, and insurance providers.
Key Features
- Hybrid Intelligence Platform: Combines deep learning AI with human experts-in-the-loop throughout the document automation process
- Neuro-Symbolic AI: Integrates neural networks for pattern recognition with symbolic AI for logical reasoning and financial domain knowledge
- Financial Models: Pre-trained on 1.3 million documents including loan applications, SEC filings, ESG disclosures, presentations, and trustee reports
- Complex Layout Understanding: Processes credit agreements, financial reports, and ESG disclosures with contextual reasoning
- 30+ Financial Templates: Multi-language support with robust accuracy checks and database integration
- Data Validation: Excels in validation, complex layout understanding, and workflow automation beyond traditional OCR
Use Cases
Credit Agreement Processing
Banks deploy Cognaize to automate credit agreement analysis and data extraction. The platform processes complex loan documents with 99.7% accuracy across 120,000 documents annually, reducing manual spreading time by 75% and cutting costs 10x.
SEC Filing and Financial Report Analysis
Rating agencies use Cognaize to validate financial reports and SEC filings. The system processed 500,000 reports (12 million pages) with 99.9% accuracy, achieving 66% reduction in processing time and 78% efficiency improvement.
ESG Disclosure Processing
Financial institutions apply Cognaize to extract insights from ESG-related documents. The hybrid intelligence approach combines AI automation with expert validation, achieving 99.3% classification accuracy while reducing manual processing by 80%.
Technical Specifications
| Feature | Specification |
|---|---|
| AI Architecture | Neuro-symbolic (neural networks + symbolic AI) |
| Training Data | 1.3M+ financial documents |
| Document Types | Credit agreements, SEC filings, ESG disclosures, loan applications, trustee reports |
| Accuracy | 99.9% (reports), 99.7% (notices), 99.3% (classification) |
| Templates | 30+ financial templates |
| Language Support | Multi-language |
| Deployment | On-premises, cloud, hybrid |
| Compliance | GDPR, financial regulations |
| Performance | 75-80% time reduction, 10x cost savings, 67% cycle time reduction |
Resources
Company Information
Headquarters: New York, New York, United States (115 Broadway)
Founded: 2020
Founder: Vahe Andonians
Funding: $18M Series A (Argonautic Ventures, Metaplanet)
