Cogram vs 11x
Detailed side-by-side comparison to help you choose the right tool
Cogram
Voice AI Tools
AI meeting assistant built specifically for professional services firms—consulting, legal, and accounting—that automatically generates meeting summaries, action items, and follow-ups in real time. Cogram uses context-aware AI to understand industry-specific terminology and client relationships, then pushes structured outputs directly into CRMs and project management tools so nothing falls through the cracks between meetings and execution.
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Custom11x
🟢No CodeVoice AI Tools
11x provides AI digital workers for sales development, featuring Alice the AI SDR for autonomous outbound email prospecting and Julian the AI Phone Agent for intelligent voice conversations. The platform handles end-to-end sales development workflows including prospect identification, research, personalized outreach, follow-ups, and meeting scheduling — operating 24/7 to generate qualified pipeline at a fraction of the cost of human SDR teams.
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Starting Price
~$5,000/monthFeature Comparison
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Cogram - Pros & Cons
Pros
- ✓Purpose-built for professional services workflows rather than general-purpose meeting recording, so outputs map directly to client deliverables—a vertical positioning that remains uncommon among meeting assistants
- ✓Native CRM sync with Salesforce and HubSpot keeps client records updated without manual data entry after every client call, addressing a persistent adoption problem in professional services where consultants often resist manual CRM logging
- ✓Action items include assigned owners and due dates extracted from conversation context, potentially reducing the significant post-meeting admin work that typically accompanies client-facing meetings
- ✓Handles industry-specific terminology in consulting, legal, and accounting better than general transcription tools that train on broader datasets like podcasts and casual conversations
- ✓Structured summary format separates decisions, risks, and next steps for easy scanning—useful for partners who skip meetings but need the takeaways in under 2 minutes of reading
- ✓Team-level analytics give managers visibility into follow-through rates and client engagement patterns, which most general-purpose competitors lack entirely
Cons
- ✗Pricing targets mid-market and enterprise teams—the Team plan reportedly starts at $29/user/month, which adds up quickly for solo practitioners or firms under 5 people compared to tools like Otter.ai (free tier available) or Fireflies (lower entry price)
- ✗Less suited for casual or internal brainstorming meetings where structured outputs and CRM sync add little value—you're paying for features you won't use
- ✗CRM integrations are strongest with Salesforce and HubSpot; firms using Pipedrive, Zoho, or industry-specific CRMs like Clio may need Zapier workarounds or API custom work on the Business plan
- ✗Relies on clear audio quality and speaker identification, which can degrade in large in-person meetings with shared microphones or poor room acoustics
- ✗Niche industry focus means the AI vocabulary models may not perform as well for firms outside consulting, legal, and accounting—tech startups or creative agencies would likely get more value from a general-purpose tool
11x - Pros & Cons
Pros
- ✓Deploys true end-to-end autonomous SDR workflow (prospecting, enrichment, personalization, sequencing, and meeting booking) without requiring human operators to manage campaigns or write templates, freeing sales teams to focus on closing deals rather than top-of-funnel activities.
- ✓Two coordinated digital workers (Alice for written outbound, Julian for voice) cover both email/LinkedIn and phone channels under one platform, eliminating the need to stitch together separate tools for multi-channel prospecting and reducing vendor sprawl.
- ✓Marketed cost savings of roughly 50% versus a human SDR team make the ROI case clear for enterprise buyers — Alice costs approximately $50,000–$60,000 annually compared to $100,000+ for a fully loaded human SDR including salary, benefits, tools, and management overhead.
- ✓Built-in access to a large prospect database of over 200 million contacts eliminates the need for separate data providers like ZoomInfo or Lusha, reducing total stack cost and simplifying the workflow from prospect identification to outreach execution.
- ✓Enterprise-grade positioning with offices in San Francisco and London, CRM integrations with Salesforce and HubSpot, SOC 2 Type II compliance, and GDPR-compliant data processing gives procurement and security teams confidence during vendor evaluation and approval.
- ✓24/7 execution with continuous learning loops means campaigns optimize without manual A/B testing — Alice analyzes engagement data across all outreach to improve subject lines, messaging, and send timing automatically, compounding performance gains over time.
Cons
- ✗Enterprise-only annual pricing with no public self-serve tier shuts out SMBs, startups, and individual sales professionals who cannot commit $50,000+ annually or navigate a multi-week enterprise sales process just to evaluate the product.
- ✗AI-generated outbound at scale carries real deliverability and brand-reputation risk if email warm-up, domain rotation, and content quality are not carefully managed — some users report initial spam folder placement and inconsistent email quality across prospect segments.
- ✗Heavy reliance on automated outreach can trigger LinkedIn rate limits, account restrictions, or platform bans if volume thresholds are exceeded, particularly for users whose LinkedIn accounts lack established activity histories or connection networks.
- ✗The 'replace your SDR team' positioning has drawn public criticism from some early customers on Reddit and review sites who experienced underwhelming results, with complaints including poorly targeted prospects, generic-sounding personalization, and difficulty canceling annual contracts.
- ✗Limited transparency on pricing, contract minimums, and ramp expectations without going through a full sales process makes comparison shopping difficult and has eroded trust among prospects who feel pressured into commitments before fully understanding total cost of ownership.
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