# Actively AI - Research Comparison How does Actively AI compare to Common Room? - Website: https://actively.ai - Updated: 2026-10-28 - Status: watch - Web version: https://www.commonroom.io/compare/actively-ai/ai/ ## Summary Per-Account AI agents that work 24/7 to autonomously research accounts, build pipeline, and guide enterprise go-to-market teams. ## Company info - **Funding:** 68 - **Founded:** 2020 - **Team:** 80 ## Critical Notes - Challenger to legacy CRMs like Salesforce: shifts from human-led data entry to Intelligence-Led Revenue - Dedicated AI agent per account researches, drafts outreach, flags pipeline risks around the clock - $45M Series B in April 2026 at $250M valuation - Ramp attributes tens of millions in new revenue to the system ## Key Features - Per-Account Agents - Agent Inbox - AI Sales Assistant - Watchtower pipeline monitoring - API Platform - MCP Server integration - CRM and call recording integrations ## Details Enterprise AI for go-to-market teams. Deploys a dedicated AI agent per account to research, identify opportunities, and advance next steps. Raised ~$68M: $5M seed, $17.5M Series A (Bain Capital Ventures), $45M Series B (April 2026, co-led by TCV and First Harmonic, $250M valuation). Founded by former Stanford AI researchers Mihir Garimella and Anshul Gupta. ~36,000 monthly visits; ~20,500 LinkedIn followers. Sales-led, demo-gated, no free trial or PLG. Targets CROs, VPs of Sales, RevOps. Customers: Samsara, Ramp, Verkada. Closed-source; API Platform and MCP Server for extensibility. ## Signals compared to Common Room ### 1st Party - Included: Deep Salesforce + Gong integration (pipeline history, call transcripts, participant metadata); auto-enroll/pause contacts in Gong Engage; custom models trained on closed-won patterns - Missing: No HubSpot, Marketo, website visitor de-anonymization, data warehouse product usage, chat, CS tools, ad platforms, or SEP integrations beyond Gong Engage ### 2nd Party - Included: unsure - Missing: No open source, community, social, reviews, events, or commerce signals ### 3rd Party - Included: News signals (job moves, funding events, company updates) - Missing: Not a data provider; no technographics, job listings, or intent vendor integrations; separate waterfall enrichment needed ### Custom - Included: API Platform; MCP Server for embedding agent context in custom apps - Missing: Export-oriented; no documented CSV, Sheets, Zapier, or webhook ingest; needs engineering resources 1st Party: Deep Salesforce and Gong integration (CRM pipeline history, contact activity, opportunity stages, call transcripts, participant metadata, deal coaching signals). Trains custom models on closed-won patterns. Auto-assigns, enrolls, or pauses contacts in Gong Engage. 2nd Party: unsure. 3rd Party: External news (job moves, funding, company updates). Not a data provider; separate waterfall enrichment needed. Custom: API Platform and MCP Server let engineering teams embed agent context in proprietary workflows and applications. ## Identity compared to Common Room ### Enrichment - Included: Internal entity extraction from unstructured 1st-party data (calls, emails, RFPs) - Missing: No verified emails, phones, firmographics, or prospect database; needs ZoomInfo/Apollo/waterfall tools ### AI Powered - Included: ML entity extraction and relationship mapping from transcripts and documents; ML signal-to-account matching - Missing: No AI matching of handles or profiles across sources; no net-new contact identities ### Identity - Included: Maps 3rd-party signals to existing CRM accounts (account-level) - Missing: No person-level identity resolution; relies on existing CRM and 3rd-party tools Identity: No native person-level identity resolution; relies on existing CRM and 3rd-party enrichment. Account-level mapping of messy 3rd-party signals to CRM accounts. Enrichment: None natively; no verified emails, direct dials, mobile, or B2B data. Needs ZoomInfo, Apollo, or waterfall providers. Internal enrichment extracts entities and context from unstructured calls, emails, RFPs. AI Powered: AI entity extraction and relationship mapping from transcripts, documents, intent signals, made queryable for Per-Account Agents. ## Automation compared to Common Room ### Combine - Included: Deep Reasoning Engine merges CRM, Gong, and external news into continuous account profile - Missing: Limited to ingested sources; no user-controllable segments or workflows ### Score - Included: ML model trained on customer closed-won history; dynamic account ranking - Missing: Black box; no rules-based or custom scoring; account-level only; needs historical data ### AI Message - Included: Assistant drafts emails, talking points, meeting briefs from agent research - Missing: Does not send; no sequencer or multi-channel ### AI Research - Included: Dedicated agent per account across TAM, 24/7 background research; conversational Assistant for ad-hoc questions - Missing: Bounded by narrow signal set; custom prompt authoring undocumented Workbench: Agent Inbox, 5-10 prioritized accounts daily with research, flag reason, next actions. Workflow: No native outreach sequences; Gong Engage auto-enroll/unassign; API for custom multi-step logic. Alerts: Watchtower tracks account universe; flags champion going dark, usage drop, missed follow-up, competitive mentions. Combine: Deep Reasoning Engine merges CRM, Gong, and external signals. Score: ML trained on closed-won outcomes learns ICP and deal patterns. AI Message: Assistant drafts emails, talking points, meeting briefs; does not send. AI Research: Per-Account Agent for every TAM account, 24/7; conversational Assistant. ## Support compared to Common Room ### Systems - Included: Agent Product Managers and Forward-Deployed Engineers embedded in multi-week onboarding; shared Slack channels; email and contact forms; Vanta trust portal - Missing: No self-serve ticketing or help desk ### Content - Included: API/MCP developer docs; video library, webinars, blog - Missing: No public knowledge base ### Community - Included: None - Missing: No forums, templates, or peer support ...