Kith provides an AI operating system built on Claude Code that integrates directly with a private equity or hedge fund’s own data, systems of record, and portfolio information. By connecting the model to a firm’s proprietary IP, Kith enables customized inference-driven workflows that generate and write back deliverables, delivering a unique AI edge that differs from generic tools like Bloomberg or Hebbia.
Funding
Funding not disclosed
Founders
Product
Problem
Commercial AI tools for investment firms provide generic retrieval and summarization capabilities, delivering the same outputs to every subscriber and offering little differentiation. This uniformity prevents firms from leveraging their proprietary data and processes to gain a competitive edge.
Solution
Kith offers an operating system built on Claude Code that integrates directly with a private equity or hedge fund’s own data sources, APIs, and document repositories. By granting the model full, runtime access to CRM systems, portfolio databases, market feeds, and shared drives, Kith enables the AI to read, generate, and write back bespoke deliverables without manual connectors. The platform supports any output format—from LBO models and investment committee memos to board decks—tailored to the firm’s specific workflow. Because the AI operates on each firm’s unique intellectual property, instances diverge over time, delivering a differentiated, firm‑specific edge that improves as the underlying model evolves. Kith’s architecture scales with model intelligence, allowing continuous enhancement without additional development effort.
Target Audience
Primary customers are private equity and hedge fund managers who require AI‑augmented analysis, reporting, and workflow automation built on their proprietary data and investment processes.
Features
- Runtime data integration with any system exposing an API or file interface, eliminating the need for custom connectors
- Inference‑driven generation of any deliverable (financial models, memos, presentations) directly from source data
- Bidirectional write‑back capability, allowing the AI to update internal systems and documents automatically
- Model‑agnostic scaling: improvements in Claude Code automatically enhance all firm instances
- Continuous learning from the firm’s accumulated frameworks and knowledge, compounding intelligence over time
- Secure, encrypted data handling with on‑premise or private‑cloud deployment options