Toptal helps investment intelligence startup transform unstructured data with AI.

An early-stage startup building a people-intelligence platform for alternative investments partnered with Toptal to turn fragmented information about investment professionals into structured, usable data.

Client

A US-based startup building a people-intelligence platform for the alternative investments market.

Industry

Technology

Delivered Services

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Challenge

Information about investment professionals was fragmented across multiple sources, making it difficult to build a cohesive people-intelligence platform. The startup needed a scalable way to transform unstructured information into usable data without relying on a single model or source.

Solution

Structured Intelligence Workflow

Toptal designed an AI/NLP workflow that transformed unstructured information into structured intelligence, using LLMs, NLP techniques, and curated gold sets to support extraction and evaluation.

Layered Data Architecture

Rather than relying on a single model, the team divided the problem into distinct intelligence layers and combined AI engineering with data scraping, engineering, and web development.

Outcome

Validated AI Workflow

The resulting workflow gave the startup a structured approach to extracting intelligence from fragmented sources, with the client providing positive feedback on the solution and its direction.

Stronger Platform Foundation

The layered approach established a reusable foundation for the startup’s people-intelligence platform, supporting continued development as its data sources and use cases expanded.

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