We started RivalDesk because we saw strategy teams spending more time collecting competitor data than actually acting on it. We believe AI can change that.
Too many organizations fly blind. Competitor moves happen daily - pricing changes, product launches, leadership shifts, market pivots - but most teams only hear about them weeks later, if at all.
RivalDesk was built to close that gap. We monitor, analyze, and deliver intelligence so your team can focus on what matters most: making better strategic decisions, faster.
Our AI discards 94% of competitive noise automatically. You only see pricing changes, product launches, and hiring surges that actually threaten your position.
In competitive intelligence, hours matter. We obsess over detection time because your advantage depends on it.
Every feature ships from real battle card sessions and strategy reviews with our customers. We sit in the war room so our product reflects how CI teams actually work.
No scraping behind logins. No purchasing leaked data. Every signal comes from public sources - websites, filings, job boards, press releases - and we show you exactly where.
Our team brings together decades of experience in competitive intelligence, enterprise SaaS, and AI research.
Former VP Strategy at Datadog. 12 years in enterprise SaaS and competitive intelligence.
Previously led ML teams at Google DeepMind. PhD in NLP from Stanford.
Ex-Stripe infrastructure lead. Built systems handling millions of events per second.
Former Head of Product at Gong. Specializes in AI-driven enterprise tools.
Previously SVP Sales at a growth-stage fintech. Expert in enterprise go-to-market strategy.
Ex-Meta AI Research. Published researcher in information extraction and NLP.