Anvai provides an enterprise AI platform, TOLKA, for building and scaling autonomous workflows with near-zero hallucinations. Its flagship application, AIRA, delivers end-to-end investment intelligence, achieving a 30x analyst productivity gain and approximately 50% total cost of ownership reduction for clients like a $300B AUM fund. The platform is privately hosted, fully compliant, and deployed in production across finance and trade finance sectors.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Financial Technology
- Software Only
Funding
Founders
Product
Problem
General-purpose large language models are not reliable enough for enterprise environments where accuracy, compliance, and auditability are critical. They produce hallucinations, lack firm-specific intelligence, and cannot be safely deployed on proprietary data in regulated industries like finance and trade.
Solution
Anvai provides TOLKA, an agentic orchestration platform that enables enterprises to build and scale production-grade autonomous AI workflows. TOLKA powers AIRA, an end-to-end investment intelligence platform that automates research workflows, including alpha opportunity identification, dataset analysis, risk signal assessment, and research report generation. The platform uses a multi-model AI architecture with semantic search and knowledge graph traversal to chain evidence across filings, transcripts, and market data, ensuring every claim is traceable to a primary source. Deployed in a private cloud with compliance guardrails, Anvai custom-trains its models on proprietary data, aligning outputs to each client's asset classes, evaluation criteria, and investment philosophy.
Target Audience
Primary customers are large financial institutions, including investment firms, banks, and trade finance operations, with deployments at a >$300B AUM client and a >$150B AUM Asian bank. The platform is expanding into retail, healthcare, and manufacturing verticals.
Features
- Semantic search at scale with precision retrieval across millions of documents using knowledge graph traversal
- Multi-model AI architecture supporting multi-step financial reasoning and synthesis
- Near-zero hallucinations with full audit trail, including confidence scoring and traceability to primary sources
- Conversational UI for natural language interaction with the research platform
- Private cloud deployment with compliance guardrails and custom training on proprietary data
- Autonomous learning and self-evolving agents, as demonstrated in trade finance deployments with legacy OCR integration
- Contract lifecycle management capabilities, including AI-powered review, risk analysis, drafting workflows, and multi-contract analysis