Skydda overview
Vertical AI·Case study

Why we backed Skydda

On April 7, 2026, an AI model read the Linux kernel and found vulnerabilities thousands of human engineers had missed for decades. The defender's edge in the world that announcement created is no longer about scanning faster — it is about knowing your specific business deeply enough to detect a patient, business-aware attacker.

What Skydda does1 / 3
Visit site ↗
Skydda — AI-native SecOps — continuous organizational-knowledge graph.

AI-native SecOps — continuous organizational-knowledge graph.

The company

Skydda is an AI-native cybersecurity platform built around a continuous organizational-knowledge graph. Headquartered in Seattle, founded by Anu Engineer and Vibin Chingapurath, Skydda's thesis is that the post-AI-vulnerability world changes what defense means: every Mythos-equivalent attack starts with reconnaissance, and reconnaissance is detectable if the defender has a deep environmental baseline. SIEMs, SOARs, and EDR platforms don't have that baseline. Skydda is built to provide it.

Why we backed them

Three observations made us lean in.

First, the architecture was correct before it became urgent. Anu and Vibin started building a continuous organizational-knowledge model long before Anthropic's Glasswing announcement reframed the industry. The premise — that the business is finite and knowable, that the attacker must study it, and that study is detectable — was correct in 2024 and remains correct in 2026, but it is dramatically more valuable now. Most security companies have to retrofit AI into their architecture. Skydda already had it.

Second, the buyer has a question their stack cannot answer. Every CISO who briefed their board on Glasswing is now fielding the same question: "What happens when an adversary with Mythos-equivalent capability comes for us specifically?" SIEM platforms don't answer it. SOAR platforms don't answer it. EDR doesn't answer it. Skydda's pitch is the only one in the market that even attempts to answer it — by knowing the customer's environment so deeply that the attacker's reconnaissance phase is itself the detection signal.

Third, the team is rare. Anu has the depth of a research-grade security engineer with the operating discipline to ship a product. Vibin pairs that with a sharp commercial instinct for selling into mature SOC organizations. The combination of architectural depth and go-to-market clarity is unusual at pre-seed.

What we did beyond capital

We worked alongside the team in two concrete ways.

We spent time with them from the ideation days to help them think through some of the early decisions needed to lay the foundation of a successful company. We leveraged our network to introduce them to a CISO names in our network and continue to run warm-path introductions through the Callapina diaspora corridor.

We helped sharpen their pitch and the way to tell their story, which helped them in their conversations with investors in their pre-seed round.

The Callapina conviction

Skydda is among the strongest expressions of our Vertical AI pillar — AI applied to a domain where the moat compounds with depth of customer-specific knowledge, where the regulatory and reputational stakes are at their highest, and where the existing tool stack is structurally unable to compete. The transition period — between when Mythos-level offensive capability is in responsible hands and when it is everywhere — is the dangerous one. Skydda is built to defend that transition.

Vinod Jose, Founding GP

Read next

More portfolio case studies

Back to the company

See the company overview, traction signals, founder perspective, and related diligence context.