
Technology
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Revenue Intelligence
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YC W26
|
Valuation:
Undisclosed

Last Updated:
March 24, 2026

An AI-native ecosystem revenue platform for B2B SaaS teams, starting with partnerships. Continuously monitors the SaaS ecosystem to identify high-impact partnership opportunities, then manages the lifecycle from discovery to activation to performance tracking.
CRM integration to identify high-impact partnerships. Dynamic partner profiles using ecosystem and proprietary data. Surfaces why a partnership makes sense now. Tracks ROI across touch points.
Uses probabilistic regression models and influence chains across ecosystem graph. Targets Heads of Partnerships, BD, or CROs at growth-stage B2B SaaS companies.
AI-powered autonomous agents continuously scan markets, score prospects, and recommend optimal partners for B2B SaaS companies.
An AI robot constantly scouts the entire market to find you the best business partners so you don't have to.
It's like having a tireless matchmaker who reads every LinkedIn profile, earnings call, and industry report on the planet to find your company its perfect business soulmate.
ML-driven probabilistic models analyze every partner touchpoint to accurately attribute revenue to partner-sourced and partner-influenced channels.
AI traces every email, call, and meeting back to the partner who actually helped close the deal, so you know exactly who deserves credit.
It's like instant replay review for every assist in a basketball game, except instead of points, you're tracking millions of dollars in partner-influenced revenue.
Predictive ML models monitor partner engagement signals to score partner health, predict churn risk, and identify upsell opportunities proactively.
AI watches how engaged each partner is and warns you before they ghost you—or tells you when they're ready to do even more business.
It's like a Fitbit for your business partnerships—constantly monitoring vital signs and alerting you before a relationship flatlines or when one is ready to run a marathon.
AI automates the end-to-end partner lifecycle from onboarding and deal management to commission tracking and performance leaderboards.
AI handles all the boring paperwork of managing partners—onboarding, tracking deals, and calculating commissions—so humans can focus on building relationships.
It's like replacing an entire back office of accountants, project managers, and scorekeepers with one AI that never sleeps, never miscalculates, and never forgets to send the commission check.
ML-driven analytics measure true partner ROI across all channels and recommend optimal budget allocation to maximize partnership-driven revenue.
AI crunches all the numbers to tell you exactly which partners give you the best bang for your buck and where to invest next.
It's like having a Wall Street portfolio manager for your partnerships—constantly rebalancing your investments to squeeze every dollar of return from your partner ecosystem.
Nikhil Reddy leads business strategy. Jeffrey J Lin (NYU Math and CS) brings technical depth in multi-agent coordination systems. Working with companies driving $400M+ in partnership revenue provides valuable data for training models.