
What Is a Sales Tech Stack? How to Choose Yours
Stop buying tools on hype. Learn how to choose a sales tech stack that connects - five criteria, a stack health check, and 1,000+ tools compared.
Market intelligence on private companies
CB Insights monitors over 11 million private companies using AI to surface funding history, competitive signals, and predictive market data across more than 1,600 ranked tech markets. It is built for Account Executives, RevOps teams, and GTM leads at mid-market and enterprise organizations who need structured account research without manual digging. The standout capability is ChatCBI™ — a generative AI layer that lets users query the dataset conversationally and receive synthesized briefings from AI agents, rather than navigating static dashboards. Data feeds into Salesforce natively, and the platform connects to Snowflake and Microsoft 365 Copilot for teams that want to operationalize intelligence inside existing workflows. The depth skews toward private company and venture data; teams primarily focused on public-company coverage or high-volume contact-level prospecting will find the fit narrower.
generates per-account briefings and dossiers
first-party connectors, no middleware required
autonomous multi-step actions, per-prospect AI research
intent signals, firmographic + tech-stack data
mobile app
For GTM leads and RevOps teams that need structured account research on private companies — not just contact lists — CB Insights is one of the few platforms that combines firmographic depth, market rankings, and predictive signals in a single dataset. If you're serious about agentic outbound, this is non-negotiable: the MCP server and A2A support make it especially usable as an orchestration layer for AI agents pulling live company intelligence into automated workflows. Enterprise-priced with no public tiers — expect procurement involvement and a sales cycle before your team sees a login. The coverage strength is private companies and venture-backed markets, so if your ICP skews heavily toward public enterprises or you need contact-level email data at volume, you'll likely need to pair this with a separate prospecting tool.

Stop buying tools on hype. Learn how to choose a sales tech stack that connects - five criteria, a stack health check, and 1,000+ tools compared.

What is GTM Engineering? The 2026 guide to the role, tools and salary - plus the top 10 GTM Engineers in North America & Europe.

A complete guide to implementing outbound in SaaS costs from $197, proven tools, benchmarks and legal considerations.
Live MCP server — agents can call this tool directly.
Connects LLMs to CB Insights' proprietary data to enable AI agents to generate target lists, investment memos, and scouting reports.
Open MCP →Programmatic access available.
REST API — straightforward to call from any agent or workflow tool. Rate limits and auth vary by plan.
API docs →Built for agents from the ground up.
MCP server + agent-friendly API + at least one autonomous workflow out of the box. The bar for 'Native' is high — only a handful of tools currently qualify.
Where this tool slots into an agentic pipeline.
Plays the role of Researcher + Signal source + Enricher in an agentic pipeline. Use it to generate per-account briefings and qualification dossiers; surface buying intent — funding, hiring, job changes, web visits.
Tools that solve a similar problem — compared at a glance.
Yes — CB Insights exposes a Model Context Protocol server. Connects LLMs to CB Insights' proprietary data to enable AI agents to generate target lists, investment memos, and scouting reports. See the MCP docs at https://api-docs.cbinsights.com/portal/docs/CBI-MCP-Server.
Yes — CB Insights ships a REST API. Docs: https://api-docs.cbinsights.com/portal.
CB Insights: pricing is custom, expect enterprise tier ($$$$) spend. Full pricing page: https://www.cbinsights.com/what-we-offer/pricing/.
CB Insights is built for Account Executive, RevOps, GTM Lead. Fits Mid-market (50-500), Enterprise-sized teams.
Tier: Native. Has both an MCP server and an agent-friendly API — drops into an agentic stack with minimal glue code.