CARE KYC offers an AI‑driven platform that automates the collection, extraction, and persistent storage of counterparty documents, creating a searchable data model that spans the entire KYC/AML lifecycle. By using agentic AI agents and multi‑model LLMs, the system reduces duplicate data collection by up to 90% and accelerates compliance reviews for financial institutions and regulated enterprises while keeping data under the client’s control.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations must repeatedly collect the same documents and data for each counterparty across multiple compliance reviews, leading to redundant effort, missed connections between records, and slow onboarding and monitoring processes.
Solution
CARE KYC provides a unified, AI‑driven platform that manages the entire counterparty lifecycle—from initial data collection through ongoing screening and periodic reviews. The system automatically extracts, structures, and links information from uploaded documents, creating a persistent, searchable data model that is enriched with each review cycle. Agentic AI agents continuously learn from prior interactions, reducing re‑collection by 70‑90% and delivering faster, more accurate compliance decisions. The platform supports all counterparty types, integrates with existing workflows, and ensures data remains under the user’s control while adhering to defined policies and procedures.
Target Audience
Primary users are compliance, risk, and onboarding teams in financial institutions, corporations, and regulated enterprises that need to manage clients, investors, vendors, employees, and assets throughout the KYC/AML lifecycle.
Features
- AI‑powered document ingestion that extracts and normalizes data across passports, IDs, contracts, and other compliance documents
- Persistent, searchable data model that retains information across files and review cycles, eliminating duplicate collection
- Agentic AI agents that collaborate to assess risk, apply policy rules, and generate review outcomes with minimal manual input
- Multi‑model AI architecture leveraging top LLMs (OpenAI, Anthropic, Google) for optimal extraction and decision support
- Continuous learning loop where AI improves its understanding of each counterparty over time, increasing accuracy in later review years
- Seamless integration via APIs to connect with existing enterprise systems, EDRM, and workflow tools
- Privacy‑first design that keeps all data under the client’s control and supports policy‑aware processing