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Research Comparison

Updated

Markdown

Summary

AI-native GTM intelligence platform helping B2B teams sell to local government, K-12, and higher education by surfacing early buying signals, automating outreach, and accelerating procurement.

Funding

53.8

Founded

2024

Team

90

starbridge.ai

Critical Notes

- Founded by Justin Wenig, previously co-founded Coursedog - $42M Series A led by Craft Ventures, October 2025 - Contract vehicle access lets vendors sell through existing government contracts and skip RFPs - Parallel.ai Task API scrapes contacts from thousands of government staff directories - Bypasses LinkedIn, often outdated for public sector staff

Key Features

- Early buying signals and account scoring - Contact and account enrichment - Vendor spend intelligence - AI RFP finder and proposal writer - Existing contract vehicle access - Native Salesforce and HubSpot integrations - AI chat assistant

Details

Founded 2024 by Justin Wenig (ex-Coursedog co-founder). Raised $53.8M total: $10M seed and $42M Series A (Oct 2025) led by Craft Ventures, with Owl Ventures, Commonweal Ventures, Autotech Ventures. Team size undisclosed, actively hiring. AI-native GTM intelligence for B2B teams selling to public sector (GovTech, EdTech). Sales-led: demo-gated, undisclosed subscription pricing by user count and data breadth, plus outbound GTM agency service. No free trial; top 10 intent accounts lead magnet. Core closed-source; open-source MCP plugin on GitHub (starbridge-ai/plugin.mcp). Not product-led, not high-traffic, not high-social. Differentiators: contract vehicle access, FOIA automation, RFP finder.

Signalscompared to Common Room

1st Party

  • Bidirectional Salesforce and HubSpot sync with active-employment flags
  • No website visitor ID, product usage or warehouse ingestion, marketing automation, ads, chat/support, customer success, or sales engagement platform connections

2nd Party

  • none
  • No open source, social, community, review sites, events, or commerce signals. MCP plugin is output only

3rd Party

  • Automated FOIA requests (competitor contracts, pricing, expirations), FPDS/USASpending, board minutes, agency YouTube channels, Parallel.ai directory scraping
  • No commercial intent providers, technographics, or LinkedIn listening. Only 320k public entities

Custom

  • REST API (API key), Zapier trigger, webhooks, MCP connectors (Cursor, Cline, Goose)
  • API is query/extract only. No custom signal push in. No CSV or Google Sheets ingestion

1st Party: Salesforce and HubSpot bidirectional sync, active-employment flags. No visitor, product usage, warehouse, marketing automation, or sales engagement inputs. 2nd Party: none. MCP plugin (GitHub) is output to Claude/ChatGPT only. 3rd Party: FOIA requests, FPDS/USASpending, board minutes, YouTube, Parallel.ai directory scraping across 320k public entities. No commercial intent data. Custom: REST API, Zapier trigger, webhooks, MCP connectors (Cursor, Cline, Goose). No documented inbound custom signals.

Identitycompared to Common Room

Enrichment

  • 98% email accuracy, 2% bounce (14k-email test), 100+ public-sector account attributes, FOIA competitor spend and contract expirations, job change tracking, CRM hygiene
  • 320k entities only. No premium phone enrichment. No AI quality-control layer. Accuracy self-reported

AI Powered

  • Parallel.ai web agents, vector semantic matching, daily AI account ranking, AI positioning briefs
  • No AI identity matching across handles or sources. Depends on third-party Parallel.ai

Identity

  • Direct crawling of government directories, in-seat verification with bounce checks, inactive flagging, CRM dedupe, multi-provider waterfall
  • No cross-source identity resolution or merge review. Directory record, not unified person profile

Identity: Crawls government, school district, and university directories and board minutes. Bypasses LinkedIn. Cross-references public documents, multi-provider waterfall, continuous in-seat verification with bounce checks, CRM dedupe and inactive flags. No cross-source person merging. Enrichment: 98% email accuracy, 2% bounce (14k test), 320k+ entities, 100+ attributes (budgets, enrollment, grants, AI adoption), FOIA/FPDS spend and contract expirations, job change tracking, automated CRM hygiene. AI: Parallel.ai Task API web agents, vector semantic matching, daily account scoring, AI positioning briefs.

Automationcompared to Common Room

Combine

  • Combines FOIA/spend data, web signals, and CRM data via semantic vector matching
  • Narrow universe, public-sector web signals only

Score

  • Plain-language custom scoring over 100+ attributes, AI RFP Finder scores bids on fit, region, win likelihood
  • Account-level only. No first-party engagement scoring

AI Message

  • Signal-triggered suggested copy with each lead (board meetings, grants)
  • none

AI Research

  • "Ask Starbridge" agent over signals, contracts, FOIA docs, custom prompts, Chrome extension, MCP into Claude/ChatGPT/Cursor
  • Limited to public-sector data. No prospect product, community, or web data

Workbench: "My Feed" inbox, "Buyer Pages". Workflow: "Bridges" AI-agent workflows with custom web signals; CRM sync, Slack, outreach sequences. Alerts: Real-time to feed, email digest, Slack with why-now context and verified contact. Combine: FOIA, spend, web, and CRM data via vector database. Score: Plain-language scoring over 100+ attributes; AI RFP Finder scores bids. AI Message: Signal-based suggested copy. AI Research: "Ask Starbridge" chat agent, Chrome extension, MCP.

Supportcompared to Common Room

Systems

  • Email support, Mintlify help center, "Ask Starbridge" in-app assistant, open-source MCP plugin
  • No live chat, ticketing portal, or status page evident

Content

  • Role-based docs (Consumers, Builders, Admins), Starbridge University, REST API and webhook docs, prompt library, admin videos, release notes
  • unsure

Community

  • none
  • No forums, template library, or user profiles. Referral program only

...

Status: Watch

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