platoseed
AI for risk and compliance
ROE AI solve risks and compliance problems for financial industry.
Roe is an agentic investigation platform for fraud and AML that reads data, follows SOPs, and outputs dispositions for QA, partner banks, and examiners. It uses AI agents to investigate cases end-to-end, with an emphasis on audit trails, citations, and continuous learning from corrections. The platform sits on top of existing data and tools, delivering labeled cases back into the detection stack.
Roe deploys AI agents that ingest cases from various sources, run through SOP-guided steps, and generate cited dispositions. It reads structured and unstructured evidence, applies sanctions and typologies, and finalizes reviews for QA and examiner sign-off. The system records feedback from QA corrections as memory to refine future cases, posts dispositions back to case management and CRM/ops tooling, and operates as a browser agent on top of legacy systems. Deployments are single-tenant and can be hosted in cloud or on-prem environments, with per-case audit trails and configurable data handling.
Who itβs for: Financial institutions and risk/compliance teams including card issuers, processors, BNPL providers, marketplaces, sports betting, insurance carriers, MGAs, and banks.
Hiring/traction mentions (production deployments, customer case studies) and listed customers; multiple industry deployments and trust portal attestations indicate growth and validation.
Cofounder & CEO of Roe AI, democratizing the access of safe, steerable, scalable Gen AI to enterprise ex-tech lead of Gen AI @ Snowflake. Snowflake Summit 2023 Speaker. ex-tech lead of Knowledge Graph & Generative Skill Assessment at LinkedIn 2014-18 UC Berkeley CS & Stats
What if you can process any data in this world, what would you do?
Roe AI builds a data warehouse that handles both unstructured and structured data using generative AI. It supports multiple data types (texts, documents, images, videos) and sources (S3, Snowflake, Databricks) and enables SQL queries with natural language to apply AI agents to unstructured data. The launch announces sign-ups and a waitlist for early access.
From the original launch (Feb 2024) β may be outdated.

AI Agents to scale AML, KYB and KYC operations

AI agents for financial services.