For sales and GTM teams, Bloomberry is an intent-data platform that turns real-time tech-stack changes into prospecting signals.

Presence & Market Position

SOV Score

Tracked · below panel floor — earned mentions are accruing toward the next scored window.

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

Bloomberry positions itself as a real-time alternative to static technographic databases like BuiltWith, tracking when companies adopt or drop more than 1,500 B2B software products and turning those subscription and churn events into prospecting signals for sales and account-based marketing teams. It emphasizes backend business systems such as CRMs, AI tools, and project management software over front-end web technology detection, and ships an API built for workflow tools like Clay, n8n, and Make alongside an MCP surface. The brand is early in the GTM conversation, with a quieter footprint so far as the technographic-intent category takes shape.

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Business Profile

Bloomberry launched in 2020 as a product line of Revealera, a data company that has sold hiring and technology-adoption signals to hedge funds, including three of the world's 20 largest, for five years. Bloomberry repurposes that same monitoring infrastructure, built on DNS records, certificate-transparency logs, and website change detection, for a GTM audience, tracking software subscription and churn events across more than 1,500 vendors. The company positions itself as the near-real-time counterpart to slower-moving technographic databases and offers a free trial for sales and account-based marketing teams evaluating the data.

Founded
2020
Scale stage
Startup
GTM Categories
Data & Intelligence

Agent Readiness

Agent Readiness

Not yet graded.

APIMCPSDKCLI

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

Bloomberry ships a REST API built for workflow tools like Clay, n8n, and Make, plus an MCP surface that gives AI agents direct, structured access to its technographic subscription and churn data instead of a dashboard export. The company also tracks MCP adoption itself as a technographic signal, treating agent-surface build-out at other vendors as a category worth measuring.

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