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gekko.one

The Road to Revenue OS

From signal-to-activation today, to full GTM autonomy by 2030.

2026 Q1-Q2

Foundations (MVP)

SHIPPED
  • Signal ingestion (1st + 3rd party)
  • ML clustering → hypothesis generation
  • Human approval gates
  • Single-channel activation (email sequences)
  • Execution logs + learning loop

📊 Outcome: First 10 customers close $500K+ deals via Gekko

2026 Q3-Q4

Multi-Channel Orchestration (V1)

  • LinkedIn Ads + Direct Mail + Webhooks
  • Agent personalities (SDR/AE/CSM types)
  • Auto-approve rules (confidence thresholds)
  • Real-time signal stream (WebSocket)
  • CRM sync (Salesforce, HubSpot)

📊 Outcome: 100 customers, avg 3 channels active, 25% win rate improvement

2027

Revenue OS Core (Expansion)

  • 14 modules live (Executive, Workspace, Pipeline, CS, SDR, Marketing, Competitive, Deal Room, Forecast, Autonomy, Data, Integrations, Org, Settings)
  • Full autonomy mode (approve once, AI runs campaigns for 90 days)
  • Competitive battlecard auto-generation
  • Deal Room collaboration (buyer-seller spaces)
  • Revenue attribution model (signal → deal causality)

📊 Outcome: $10M ARR, Gekko replaces 5+ tools in avg customer stack

2028-2030

The Future (Vision)

  • Voice of Market

    Gekko analyzes all customer calls, extracts product requests, auto-generates roadmap priorities

  • Revenue as Code

    Full GTM playbooks written in YAML, versioned in Git

  • Self-Optimizing Campaigns

    AI A/B tests messaging, channels, timing — humans only set strategy

  • Predictive Pipeline

    "You'll close $2.4M next quarter" (with 95% confidence) — 4 weeks before quarter ends

  • Agent Swarms

    50 AI agents per customer, each specialized (cold outreach, objection handling, contract negotiation, renewal upsell)

🚀 Outcome: Every GTM team <250 people runs on Gekko. Revenue is programmable. Sales reps focus 80% on strategy, 20% on execution.

Where Does Gekko Fit?

See how Gekko compares to Salesforce, 6sense, Gong, FlashLabs, and the broader Revenue OS landscape.