AI Suite Launched: AI-Powered Assistant and MCP Integrations With ChatGPT, Claude, Gemini, Co-pilot
The company announced the launch of its AI Suite — an AI-powered Assistant plus MCP integrations with ChatGPT, Claude, Gemini, Co-pilot and Cursor.
By ScoutQuest · · 2 min read
- AI Suite components
- an AI-powered Assistant plus MCP integrations with ChatGPT, Claude, Gemini, Co-pilot and Cursor
- Roadmap stage
- first phase of its AI roadmap
- Platform scale
- The platform tracks over 9 million companies and entities worldwide
What Was Announced
- A press release dated October 15, 2026 on the launch of the company's AI Suite, described as built to make business intelligence more accessible and easier to use.
- The Suite has two parts: an AI-powered Assistant and Model Context Protocol (MCP) integrations with ChatGPT, Claude, Gemini, Co-pilot, Cursor and more.
- The company says the Suite enables a more natural "talk-to-your-data" experience, letting users find, filter and act on company information without changing the way they already work.
What Each Part Does
- AI Assistant: users search the platform using everyday language instead of manually setting up search filters. They can describe what they are looking for, such as specific company details, market information, or research on any entity, and the platform understands the request and delivers results.
- MCP integration: users can access reliable, sourced startup and company data directly inside the AI tools they already use, ask complex questions about companies, sectors and competitive dynamics, and receive grounded company-sourced answers without leaving their workflow.
The Problem It Targets
- Investors, analysts and strategy teams often have relevant data sitting in one place while their actual work happens somewhere else. They switch tabs, re-run searches, and spend time connecting their findings to their decisions.
- The company positions the Suite as bringing data directly into the workflows where decisions get made.
Broader AI Strategy
- The AI Suite is the first phase of the company's AI roadmap.
- The AI Assistant and MCP integrations form the core foundation of long-term plans for how the product evolves.
- The longer-term direction is toward a unified, natural-language interface across all company data, including agentic workflows.
Management Comment
Neha Singh, Co-founder, said the goal has always been to make high-quality research as accessible as a conversation, and that the real challenge for modern teams is not access to more information but reducing the gap between questions and confident decisions. She added that AI is only valuable when it is built on trust.
Scale Context
The platform tracks over 9 million companies and entities worldwide, and serves teams across venture capital, private equity, investment banking and corporate strategy.
What to Watch
- This is a product launch update, and the further phases described are the company's stated direction for how the product evolves.
- Adoption of the AI Suite among users of the platform is the operational thing to track as the roadmap moves ahead.
More numbers
- Companies and entities tracked on the platformover 9 million
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