AI sales assistant that drafts client follow-ups in your voice from your real inbox
AI model of your product's business logic accessible to people and AI agents
Stage
Growing
Not given
Founded
Not given
Not given
Based in
Not given
GB
Pricing model
Not given
Freemium
Pricing
Free plan with 300 one-time credits. Growth plan at $79/month with 100 managed contacts and 1,000 credits/month. Pro plan at $329/month with 500 managed contacts and 5,000 credits/month. Enterprise at custom pricing with 1,000+ managed contacts. Unlimited seats on all plans.
Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
Key features
Reads email and CRM to identify best prospects
Drafts personalized emails in your voice from actual conversation history
Approval-first workflow with optional auto-send
Contact enrichment and profile updates
Learns your writing style through approvals and edits
Shared team view with unified inbox for outreach
Integrates with Gmail, Outlook, HubSpot, and Attio
Sends from your real existing inbox
Builds features, rules and customer paths and keeps them current with every push
Shows what each commit changed in the business logic, not only in the code
Provides change impact analysis before merge showing what could break
Checks PRDs and specifications against the product
Delivers understanding to AI agents over MCP
Runs locally on your machine with GMM Local
Finds risky patterns and problems in the product
Enterprise deployment inside your security boundary
Integrates with Claude Code, Cursor, Codex and VS Code
MCP access for agents with 1-10 credits per answer
What makes it different
Treats every relationship individually rather than using fixed cadences
No sequences or templates required
Approval required by default, not auto-send
Works on top of existing CRM without migration
Continuous proactive relationship management at scale
Nearly 3× fewer errors on Benchmark 001 compared to alternatives
8.4K tokens per question instead of 27.4K for competitors
Results published and measurable; method is proprietary
Reduces AI cost per completed agent action from $0.35 to $0.08