Paradigm is a platform that lets analysts build chat‑driven AI research agents to automate end‑to‑end data collection, analysis, and citation generation. Users define workflows once and the system runs parallel agent swarms at any scale, integrating with email, CRM, and market data sources to deliver structured, cited outputs that can trigger downstream actions without leaving the platform.
Funding
$5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
8OFounders
Product
Problem
Research teams spend extensive time gathering, cross-referencing, and validating data manually, which slows decision‑making and introduces errors. Scaling these processes across large datasets or high‑volume workflows is difficult, leading to missed opportunities and inconsistent insights.
Solution
Paradigmai provides a platform where AI‑driven research agents execute end‑to‑end workflows on demand. Users define a workflow once—specifying data sources, analysis steps, and output formats—and the system runs parallel agent swarms to pull proprietary data, enrich records, make judgment calls, and generate structured, cited results. The platform integrates with email, CRM, call‑transcript services, and third‑party data providers, allowing automated triggers, real‑time updates, and direct actions such as drafting outreach emails or updating records without leaving the interface. High‑quality data and cross‑referenced citations are delivered at any scale, from a handful of rows to tens of thousands, enabling teams to focus on decision‑making rather than data collection.
Target Audience
Primary users are analysts and researchers in private equity, investment banking, consulting, hedge funds, and recruiting firms who need to automate deal sourcing, market mapping, candidate ranking, and other high‑volume research tasks.
Features
- Chat‑driven workflow builder where each cell represents a configurable research agent
- Parallel agent swarms that can process from 5 rows up to 50,000 records automatically
- Built‑in integrations with email, CRM, call‑transcript platforms, and major private/public market data sources
- Automated citation generation and cross‑referencing for all extracted information
- Customizable triggers and webhooks to sync results back to source systems or initiate downstream actions
- Template library for saving and sharing reusable research workflows across teams
- Ability to add external data providers via API keys for extended coverage