Sypora AI

We built Sypora because
we lived the problem.

Our founders spent years at fast-growing companies watching smart people waste hours searching for information that already existed somewhere in their tools. Sypora is the product we wished we'd had.

Our mission

Make every person at every company as informed and capable as their best colleague.

We believe the knowledge your organization has built is one of its greatest assets โ€” and that today, most of it is locked away in tools that don't talk to each other. Sypora exists to change that.

Values that guide every decision.

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Relentlessly useful

Every feature we build must save real people real time. We measure success in hours returned to teams, not features shipped.

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Security is not optional

Enterprise teams trust us with their most sensitive data. We treat that responsibility seriously โ€” SOC 2, encryption, and privacy by default.

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Honest about AI

We cite sources. We show confidence levels. We tell you when Sypora doesn't know something. AI should augment judgment, not replace it.

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Customers are partners

Our best features come from customer conversations. We ship fast, share roadmaps openly, and treat feedback as the most valuable input we receive.

Built by people who've
been in your shoes.

DC

David Chen

CEO & Co-founder

Previously VP Product at Notion. Built and scaled 3 enterprise SaaS products.

SK

Sarah Kim

CTO & Co-founder

Ex-Google Brain. PhD in NLP from Stanford. Led AI infra at Scale AI.

JP

Jin Park

Head of AI

Former researcher at Anthropic. Expert in RAG systems and enterprise AI.

PN

Priya Nair

Chief Security Officer

15 years in enterprise security. Led security at Stripe and Cloudflare.

MR

Marcus Reid

Head of Product

Previously PM at Linear and Figma. Obsessed with developer experience.

AL

Amara Levi

Head of Engineering

10 years at Google and Meta. Expert in distributed systems and real-time data.

Backed by

Index VenturesSequoia CapitalY Combinatorangel investors

We're hiring.

We're a small, ambitious team building something genuinely hard and genuinely useful. If that sounds like your kind of work, we'd love to talk.