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11x AI logo11x AI

Research comparison

Summary

Develops autonomous digital workers designed to fully automate lead generation and multi-channel sales outreach.

Funding:

76

Founded:

2022

Team:

90

www.11x.ai

Critical Notes

Explosive VC backing: raised $24M Series A and $50M Series B within two months in late 2024 from Benchmark and Andreessen Horowitz. Positions product as digital workers meant to entirely replace human SDR headcount. Faced significant industry controversy in 2025-2026 following investigative reports highlighting alleged 70-80% customer churn rates, questionable revenue accounting practices, and widespread complaints that AI-generated messaging feels generic and lacks the nuance required for effective relationship building.

Key Features

- Autonomous AI SDR for end-to-end outbound prospecting - Multilingual AI Phone Agent handling calls in over 30 languages - Multi-channel sequence execution across email, LinkedIn, phone, and SMS - Live web data enrichment and real-time prospect research - Automated reply handling, objection management, and meeting scheduling - Real-time website visitor identification and automated outreach - Deep CRM integrations with platforms like Salesforce and HubSpot - SOC-2 compliance and enterprise-grade end-to-end encryption

Details

Founded in London (2022), relocated to San Francisco. Raised $76M total funding ($2M pre-seed, $24M Series A led by Benchmark, $50M Series B led by Andreessen Horowitz, both rounds within 2 months in late 2024). ~90 employees. Products: Alice (AI SDR) and Julian (AI phone agent) — autonomous digital workers automating outbound prospecting across email, LinkedIn, voice, SMS, WhatsApp. Reached ~$10M ARR by late 2024. Sales-led enterprise motion with custom pricing ($45-60k/yr starting), no freemium or self-service. Weeks-long managed onboarding required. Positioned as full replacement for human SDR headcount. Proprietary, closed-source. SOC-2 compliant. Major controversy: investigative reports revealed 70-80% churn, questionable revenue accounting, and widespread complaints that AI messaging feels generic despite technical sophistication. High VC backing but product results fall short of promise.

Signals

Deep bi-directional CRM integrations (Salesforce, HubSpot, Pipedrive) log all outreach activities in real time. Google Calendar, Gmail, Slack connected for automated scheduling and notifications. Website visitor tracking captures inbound leads. LinkedIn integration executes autonomous prospecting, connection requests, social interactions. Internal Knowledge Base ingests call transcripts, battle cards, docs to train AI on company-specific messaging. Built-in B2B database filters 50+ third-party sources for firmographics, technographics, org changes, funding. G2 intent integration. Live web search via Exa enriches accounts with real-time signals (job changes, tech stack shifts). CSV upload, custom API, webhooks, Zapier for custom data. Missing: product usage data warehouses, marketing automation (Marketo), chat platforms (Intercom), SEPs (Outreach, Salesloft), GitHub, multi-social listening, community forums, 6sense/Demandbase/TechTarget intent, news/events signals, Google Sheets.

Compared to Common Room

1st Party

  • CRM sync with Salesforce, HubSpot, Pipedrive. Google Calendar and Gmail integration for meeting scheduling. Slack notifications. Website visitor tracking for inbound lead capture.
  • No product usage data ingestion from data warehouses (Snowflake, BigQuery, Redshift, S3, Census, Hightouch). No marketing automation integration (Marketo). No chat/support platform integrations (Intercom, Qualified). No sales engagement platform sync (Outreach, Salesloft, Apollo, Groove, Nooks). Visitor tracking lacks person-level de-anonymization.

2nd Party

  • LinkedIn integration for autonomous prospecting, connection requests, and social interaction management. Internal knowledge base ingestion (call transcripts, battle cards, docs).
  • No GitHub or Scarf integration. No Twitter/X, YouTube, or Medium social listening. No community forum integrations (Discord, Discourse, Slack communities, Stack Overflow, Reddit, Khoros, InSided, Salesforce Experience Cloud). No review site integration. No events platform integration (Bevy, Meetup, Gradual, Skilljar).

3rd Party

  • Built-in B2B database filtering across 50+ data sources. Firmographics, technographics, org changes, funding data. G2 intent integration. Job change and tech stack shift signals for real-time triggering. Live web search enrichment (via Exa).
  • No native news/events signal. No LinkedIn company page listening signal. No named integrations with 6sense, Demandbase, or TechTarget for intent data. 400M contacts database but sourcing transparency lower than competitors.

Custom

  • CSV upload, custom API connections, webhooks, and Zapier. Knowledge base file uploads (PDFs, docs, URLs) for training AI agents.
  • No Google Sheets native integration. Custom data limited to feeding leads and training agents rather than creating flexible signal sources usable across scoring, segmentation, and workflows.

Person360

Acts as execution layer for identity data rather than foundational resolution engine. Cross-references 50+ external data sources and premium B2B databases (ZoomInfo, Clearbit) against CRM records to surface ICP-matching buyers. Smart duplicate detection and auto-deduplication on import/sync maintains CRM hygiene. Custom Deep Research auto-enriches profiles with account context, persona details, news, org changes, tech stack, competitive signals. Leverages 400M+ B2B contacts across 21+ premium providers. AI agents parse fragmented signals (job changes, funding, searches) into unified prospect context. NLP-driven lead scoring from enriched data. Missing: real-time inbound visitor deanonymization, cross-device probabilistic matching, unified identity resolution engine, cross-platform identity merging, proposed-merge workflow, ongoing identity maintenance through job changes, waterfall enrichment (sequential provider querying), AI quality control for enrichment accuracy, visual/social handle matching, cross-social graphing.

Compared to Common Room

Enrichment

  • Custom Deep Research with account context, persona, news, org changes, tech stack, and competitive signals. Claims 400M+ B2B contacts across 21+ premium data providers.
  • Explicitly does NOT have native waterfall enrichment. Relies on pre-enriched data from integrated databases rather than sequentially querying providers. No multi-provider enrichment waterfall. No AI quality control to block inaccurate enrichments. No premium phone number enrichment partnership.

AI Powered

  • AI agents parse and synthesize fragmented signals (job changes, funding, searches) into unified prospect context. NLP-driven lead scoring from enriched identity data.
  • No AI matching on unique identifiers like images or social handles. No cross-social identity graphing. No advanced probabilistic identity resolution. No auto-enrichment triggered when contacts are added. AI applied to outreach execution, not identity resolution itself.

Identity

  • Cross-references 50+ data sources against CRM records for ICP matching. Smart duplicate detection and auto-deduplication on import/sync.
  • No unified identity resolution engine. No cross-platform identity merging across 1st, 2nd, and 3rd-party signals. No proposed-merge workflow for human review. No ongoing identity maintenance as contacts change jobs. No inbound website visitor deanonymization. No cross-device probabilistic matching.

Automation

Dashboard monitors campaign metrics, pipeline, activity feed. Human-in-the-loop mode for message review/approval. Multi-channel sequences across email, LinkedIn, voice, SMS, WhatsApp with AI-selected channel/timing. Custom signal logic combines 21+ data providers, real-time signals, live web search with event combinations, thresholds, segment-specific weighting. Custom scoring on ICP criteria (industry, size, tech stack, funding, hiring). Predictive ML scoring ranks leads by conversion likelihood. Fully personalized message generation without templates pulls context from CRM, intent, public data with dynamic personalization waterfalls across roles/products/markets. Multi-language support. Autonomous account research reads company pages, press releases, profiles, news. Live web search (Exa) finds non-obvious buying signals. Eliminates traditional alerts—AI acts immediately vs. notifying humans. Missing: team workbench, segment-based prospect lists, multi-SEP push actions, general-purpose workflows, internal ops triggers, customizable alerts, 1st-party signal combination, transparent scoring model, interactive research queries, prompt library.

Compared to Common Room

Combine

  • Combines 21+ data providers with real-time signals and live web search. Custom signal logic with event combinations, thresholds, and segment-specific weighting. Promoted as key specialty.
  • Signal combination used solely to trigger outbound outreach — not available for scoring, alerting, routing, or CRM operations independently. Cannot combine 1st-party product usage signals (not ingested). Signal graph narrower because 2nd-party coverage is LinkedIn-only.

Score

  • Custom scoring logic on ICP criteria (industry, size, tech stack, funding, hiring). Predictive ML scoring on historical data and behavioral signals to rank leads before outreach.
  • Scoring exists to prioritize AI agent's outbound queue — not exposed as flexible, user-configurable scoring model. No impact points system. No ability to score using community signals, product usage, or support interactions. Scoring is black-box input to agent, not transparent tool for RevOps teams.

AI Message

  • Fully personalized message generation for every prospect without static templates. Context pulled from CRM history, intent signals, and public data. Personalization waterfalls that adapt dynamically across roles, products, and markets. Multi-language support. Core competency significantly more advanced than competitors.
  • Despite sophistication, industry reports indicate widespread complaints that messaging feels generic and lacks nuance for relationship building. High churn (70-80%) suggests output quality doesn't meet enterprise expectations in practice.

AI Research

  • Autonomous deep account research reading company pages, press releases, LinkedIn profiles, and news. Live web search integration (via Exa) for non-obvious buying signals. Research happens automatically before any message is drafted — embedded in agent workflow.
  • Research is automated but not interactive — users cannot ask ad-hoc questions about an account or write custom research prompts. No out-of-the-box research prompt library. Research output feeds agent's drafting, not rep's understanding.

Support

No data available.

Compared to Common Room

Systems

  • Email support (info@11x.ai, privacy@11x.ai). Trust Center via SafeBase and Drata with ticketing. High-touch, expert-led onboarding and support — dedicated GTM experts paired with customers.
  • No chatbot on website for real-time support. No self-service support portal. High-touch model is mandatory, not optional — scales poorly and correlates with reported churn issues. Support model requires significant human investment from provider, raising questions about sustainability at scale.

Content

  • YouTube video walkthroughs. Case studies and blog content. In-product Knowledge Base powered by LlamaIndex/LlamaParse for customer-specific training (unique feature).
  • No public-facing technical documentation site or self-serve help center. No structured onboarding documentation. Reliance on case studies and blog posts instead of proper product documentation. In-product Knowledge Base is for training the AI, not for helping users learn the platform.

Community

  • 11x Creator Program — exclusive influencer/content co-creation program for B2B thought leaders.
  • No user forums, no Slack community, no Discord, no user profiles, no peer-to-peer support. No user-generated templates or shared configurations. Creator Program is marketing/PR initiative serving brand, not a customer support community.

Status: Watch