# Unify - Research Comparison How does Unify compare to Common Room? - Website: https://unifygtm.com - Updated: 2026-10-28 - Status: watch - Web version: https://www.commonroom.io/compare/unify/ai/ ## Summary AI-powered go-to-market platform combining intent signals, AI agents, contact enrichment, and multi-channel sequencing to automate and scale outbound sales. ## Company info - **Funding:** 59 - **Founded:** 2023 - **Team:** 150 ## Critical Notes - Consolidates prospecting database, enrichment, and sales engagement into one AI-native chat interface - Automated plays run outbound workflows on real-time signals like job changes or website visits - Writes intent and computed scores directly into Salesforce fields - $40M Series B at $260M valuation, months after Series A ## Key Features - AI agents for natural language prospecting and research - B2B contact and company database with over one billion records - Multi-channel sequencing for email, phone, and social media - Automated outbound plays triggered by real-time intent signals - Waterfall enrichment from over 40 data sources - Managed email deliverability and mailbox warmup - Native reporting and pipeline attribution analytics ## Details Founded Jan 2023 by Austin Hughes and Connor Heggie. Series B $40M (July 2025) led by Battery Ventures with OpenAI Startup Fund and Thrive Capital; $12M Series A; $59M total; $260M valuation. ~$5.6M ARR, ~91K monthly visits, ~24K LinkedIn followers. Key offering: AI-native outbound sales platform for B2B SaaS revenue, marketing, and GTM teams. Sales-led: mid-market and enterprise, demo-first, low-to-mid six-figure contracts, dedicated AEs. Self-serve tier from $20/mo acts as lead-gen funnel. Core product closed-source; public GitHub org with Python/TS SDKs, Intent JS client, agent plugins for Cursor, Codex, Claude. Replaces SEP and data vendors (rip-and-replace). Gaps: signal breadth, workbench, Convert stage, credit-based costs. ## Signals compared to Common Room ### 1st Party - Included: Salesforce/HubSpot bi-directional sync incl. custom objects; scores and intent written to SFDC fields; Unify Intent JS client, PostHog, 6sense; product usage via warehouse; native sequencing engagement - Missing: No Marketo, Intercom, Qualified, Gainsight, Vitally; no paid-ads ingestion; no Outreach/Salesloft/Gong/Zoom; account-level de-anonymization only ### 2nd Party - Included: LinkedIn sequencing and engagement signals; job-change and company update monitoring - Missing: No GitHub/Scarf, community forums, G2, events, YouTube/X/Medium/DEV, Shopify; SDKs distributed, not ingested as signals ### 3rd Party - Included: 40+ waterfall vendors; Dealroom funding; Demandbase surge; Bombora; 6sense; Clearbit; tech-stack detection across 160K products; ContactOut, Findymail, Forager, FullEnrich - Missing: No TechTarget, G2 intent, Scarf, Toplyne; no native news/events signal; hiring trends via AI scraping, not job-listings feed ### Custom - Included: Fivetran (300+ sources); Hightouch; Data API; Play webhooks; Salesforce Bulk API; remote MCP server; natural language agent extraction - Missing: No Zapier; CSV/Google Sheets upload not documented; custom ingestion requires ETL/warehouse layer 1st party: Salesforce/HubSpot bi-directional sync, writes intent and scores to SFDC fields, Intent JS client, PostHog, 6sense, product usage. 2nd party: LinkedIn sequencing and engagement, job changes, company updates; SDKs and plugins on GitHub (distribution only). 3rd party: 40+ waterfall vendors, Dealroom, Demandbase, Bombora, Clearbit, tech stack detection across 160K products, ContactOut, Findymail, Forager, FullEnrich. Custom: Fivetran (300+ sources), Hightouch, Data API, Play webhooks, Salesforce Bulk API, remote MCP server, NL agent extraction. Gaps: no community, OSS, review-site, event, or support-tool signals. ## Identity compared to Common Room ### Enrichment - Included: 1.1B contacts, 65M companies; 11+ vendor email/phone waterfall; 40+ signal sources; partial-enrichment send/hold/retry per channel; enrichment embedded in Plays - Missing: No real-time AI quality control for bad enrichments; credit-metered ### AI Powered - Included: Natural-language list building; visible reasoning and references in enriched cells; full-loop agents (research, enrich, draft, CRM, enroll) - Missing: No AI identity stitching, image/handle matching, probabilistic resolution, or cross-device tracking ### Identity - Included: Resolves identity before enrichment; preserves match evidence (source, date); stable match keys; normalized domains; ambiguous matches to human review; explicit field ownership with CRM/warehouse - Missing: CRM-record-centric; no cross-source social/community/OSS identity resolution; no persistent person entity across job changes; manual merge UI not documented Identity: resolves before enriching, preserves match evidence (source, observation date), stable match keys, normalized domains, retains source-system IDs, ambiguity routed to human review, explicit field ownership. Deterministic and CRM-centric; no cross-channel person graph. Enrichment: 1.1B contacts, 65M companies, 11+ vendor email/phone waterfall, 40+ signal sources, embedded in workflow, partial-enrichment send/hold/retry. AI: natural-language list building, visible reasoning with references, full-loop agents. No probabilistic or image-based matching. ## Automation compared to Common Room ### Combine - Included: Composite triggers across 40+ sources; Infinity Signals build custom signals from prompts - Missing: Limited to ingested sources; Infinity Signals non-deterministic, credit-consuming, harder to audit ### Score - Included: AI composite account score (Fit, Intent, Recency with 30-day half-life, Reachability); routes by tier to humans or sequences - Missing: Account-level only; fixed four-dimension model; opaque weighting; no person-level scoring ### AI Message - Included: Learns brand voice and ICP from website, docs, past emails, campaigns; generates first lines and snippets for multi-channel outreach - Missing: Personalization limited by shallow signals; credit-dependent ### AI Research - Included: Prompt-driven agents scrape, browse, qualify, pull contacts; multi-step agents turn answers into signals - Missing: No in-product prompt library; credit-metered per run Workbench: none. Workflow: Plays with triggers (web visit, new hire, social engagement, CRM change), branching, actions (prospect, AI-qualify, enroll, sync). Alerts: Slack via Plays. Combine: composite triggers across 40+ sources; Infinity Signals via prompts. Score: account-level Fit, Intent, Recency (30-day half-life), Reachability; routes by tier. AI Message: learns brand voice and ICP from site, docs, emails, campaigns. AI Research: prompt-driven agents scrape, browse, qualify, convert answers to signals. Credit-metered. ## Support compared to Common Room ### Systems - Included: Shared Slack channels with :ticket: and @Unify Support triage; in-app Unify Home/Chat with account context; email support for billing and credits; dedicated Account Executives; Mintlify docs - Missing: Slack Connect likely gated to contracted accounts; no public status page; no chatbot noted ### Content - Included: Unify University video training (Unify 101, YouTube); Mintlify product and developer docs with API/webhook references; playbooks (Product-Led Outbound, Fundraise Announcement, deliverability) - Missing: none ### Community - Included: Email and prompt templates; open-source Python/TS SDKs and agent plugins on GitHub; shared Slack Connect channels - Missing: No public forum, peer community, user profiles, or template marketplace ...