Quilr
Primary category: ai-spm. Also spans ai-access-governance.
One-liner — An early-stage agentic-AI security startup that discovers shadow AI, applies adaptive guardrails to prompts and data, and provides posture management over AI usage and autonomous agents.
What it does
Quilr aims to stop “human-related” and AI-related security breaches by sitting between employees/agents and AI tools. It does shadow-AI discovery (which AI apps/agents are in use), applies adaptive guardrails on prompts and responses (data-leak prevention, prompt-injection defense, regulated-data protection), and provides AI security posture management across prompts, shadow AI, and autonomous agents. Branded as an agentic “service-as-software” platform.
Where it sits in the stack
Straddles ai-spm (visibility/posture over AI usage and agents) and ai-access-governance (CASB-for-AI / shadow-AI control of what employees feed to which tools). Layer: model/prompt. At a lightweight level it screens untrusted input (prompt injection), guards sensitive data in prompts, and limits risky outbound flows to unsanctioned AI. Lives at the employee↔AI and agent↔tool boundary.
Deployment & architecture
SaaS with guardrail enforcement on the AI interaction path (API/inline guardrails; the exact browser-extension vs proxy vs API mechanism is not clearly documented publicly). ~70 employees per third-party profiles. Treat architecture specifics as unverified.
Positioning & differentiators
A seed-stage entrant in a crowded shadow-AI / AI-SPM field, leaning on its founder/advisor security pedigree (angels include Tanuj Gulati, ex-Securonix CTO/founder, and Sam Kassoumeh, SecurityScorecard co-founder/COO). Differs from larger, better-funded neighbors mostly by maturity. Nearest neighbors: harmonic-security, aurascape, wald-ai, lanai, nudge-security, and reco on the access-governance/shadow-AI side; noma-security and zenity on the heavier AI-SPM/agent side.
Ownership, funding & M&A
Independent, seed-stage. Founder: Vidit Arora. ~$3–4M seed (April 2025) led by Crew Capital, with Sprout & Oak and angels (Tanuj Gulati, Sam Kassoumeh). No M&A; no seed acquisition flag. Ownership confidence: high (clearly independent), though firmographics are thin.
Contradiction (soft): founding year listed as 2023 (startuphub) vs 2024 (Tracxn); HQ listed as Austin, TX (Tracxn/Crunchbase) vs San Francisco (startuphub). Non-blocking — recorded both, dated 2026-06-28.
CTO / hedge-fund lens
Day-2, and for most hedge funds not yet — at seed stage with ~$3–4M raised, Quilr is an early bet, not a procurement-ready control. The job it does (shadow-AI discovery + DLP-style guardrails on AI usage) is real and arguably Day-1, but a regulated fund would more likely buy that capability from a more established ai-access-governance vendor or get it bundled in netskope/zscaler SSE. Worth watching, not yet a core stack item.
Competitors / alternatives
harmonic-security, aurascape, wald-ai, lanai, nudge-security, reco, noma-security, zenity.
Open questions / to verify
- Founding year (2023 vs 2024) and HQ (Austin vs SF).
- Deployment mechanism — browser extension, inline proxy, or API guardrails?
- Real customer traction vs marketing; total funding (sources say $3M and $4M).
Sources
- Quilr — $4M Raised (StartupHub.ai) — fetched 2026-06-28 — supports: funding, HQ (SF variant), headcount, product focus; confidence: medium (aggregator).
- Quilr Unveils Agentic AI Service-as-Software Platform (BusinessWire) — fetched 2026-06-28 (search snapshot; direct fetch timed out) — supports: launch, product framing, seed date; confidence: medium.
History
- [2026-06-28] Stub created from seed registry.
- [2026-06-28] Researched; established independent seed-stage (~$3–4M, Crew Capital, 2025), founder Vidit Arora, shadow-AI + guardrails + AI-SPM scope. Flagged soft contradictions on founding year and HQ. Set ownership_confidence high; hedge_fund_fit low (early stage).