Black Lily
Black Lily provides a private, on-premise AI stack for financial firms that cannot send confidential documents to third-party cloud providers. The system deploys an open-weight language model and chat interface directly on a client's server, with connectors to existing tools like Slack, Box, and SEC EDGAR. A separate data digitization service converts paper, handwriting, and unreliable spreadsheets into structured data.
- Artificial Intelligence
- Enterprise Software
- Financial Technology
- AI Agents
- Software Only
- Hardware
Funding
Founders
Founder details are not available yet.
Product
Problem
Financial firms such as hedge funds, registered investment advisers, and family offices handle highly confidential documents—diligence data rooms, client records, trust instruments, and internal research—that cannot legally or practically be sent to third-party cloud AI providers. Existing cloud AI tools create data-path risks under policies governing material non-public information (MNPI) and client confidentiality, while generic OCR and data tools fail on handwriting and inconsistent spreadsheets.
Solution
Black Lily installs a complete private AI stack on a server inside a client's office, including an open-weight language model and the software staff use to interact with it, so nothing typed or opened leaves the client's network. The system provides a chat window, file upload, and search across the firm's entire corpus, with SEC EDGAR filings pulled in and kept current. The company sizes and configures hardware, deploys the model and interface, wires up connectors to existing systems, and provides training and monthly maintenance. A separate data digitization service turns paper, handwriting, and unreliable spreadsheets into structured data for import into existing ERP or operational systems.
Target Audience
Primary customers are hedge funds, registered investment advisers, and family offices whose documents cannot leave the building. The system also targets oil and gas operations and other businesses needing private AI or document digitization services.
Features
- On-premise deployment of an open-weight language model with chat, document upload, and search software, with no third-party AI provider in the data path
- Connectors to Slack, Box, Dropbox, Microsoft 365, Google Workspace, Salesforce, and SEC EDGAR, reading from where work already lives
- Persistent, searchable chat history and project workspaces per name, deal, client, or mandate
- Scheduled daily jobs that generate digests of new filings and drafts for morning review
- Named users, groups, and configurable permissions, with on-site access as default and remote access decided at install
- Data digitization service using AI document pipelines tuned to actual documents, with unreadable items flagged for human review rather than guessed