Goldslate provides an AI‑native intelligence platform that automatically extracts, structures, and indexes fragmented private market data into a searchable, decision‑ready repository.
Funding
Funding not disclosed
Founders
Product
Problem
Private market firms often store deal, portfolio, and market data in disparate, unstructured sources, making it difficult to retrieve actionable insights quickly. This data fragmentation creates blind spots, slows decision‑making, and hampers the ability to build institutional knowledge across real estate, private credit, and multi‑asset workflows.
Solution
Goldslate offers an AI‑native intelligence platform that automatically extracts, structures, and indexes fragmented private market data into a searchable, decision‑ready repository. The self‑organizing system builds a continuously expanding comps library and provides real‑time portfolio monitoring, turning raw documents into institutional memory. Users can query the platform to surface relevant metrics, benchmark comparisons, and risk indicators without manual data wrangling. By delivering structured insight at the point of need, the platform enables faster deal execution, improved risk visibility, and more consistent alpha generation.
Target Audience
Primary customers are investment firms, asset managers, and advisory teams operating in private real estate, private credit, and multi‑asset markets that require rapid, data‑driven decision support.
Features
- AI‑driven data extraction that converts unstructured documents, PDFs, and spreadsheets into structured records
- Auto‑generated, searchable comparable‑company and transaction library across real estate, private credit, and multi‑asset classes
- Real‑time portfolio monitoring dashboards that surface emerging risks and performance trends
- Unified knowledge base that captures insights from each deal to build cumulative institutional memory
- API and integration layer for seamless access from existing workflow tools and analytics platforms