Guickly
Category: AI Infrastructure
Guickly is an AI measurement layer for enterprises that provides visibility, control, and optimization of AI spending across every AI tool, agent, user, and dollar. Guickly was founded in 2025. The company is led by Prashant Jalan. Based in San Jose, CA, USA (India ops: Gurugram, Haryana). Team size: 1-10. Total funding raised: $4.2M. Latest round: Seed. Key investors include Engineering Capital, Converge VC, Neon Fund, Christian Szegedy (xAI co-founder), other angel investors.
- Founded
- 2025
- Headquarters
- San Jose, CA, USA (India ops: Gurugram, Haryana)
- Team size
- 1-10
- Total funding
- $4.2M
Value proposition
Guickly gives CXOs complete visibility and control over all AI usage across their company — every tool, every agent, every user, every dollar in one dashboard. It reveals shadow AI, attributes cost by team and tool, enforces budgets, and flags waste like unused licenses and overpriced models, while keeping sensitive data on-premises.
Products and solutions
AI Measurement Layer platform with modules: AI Usage Tracking, AI ROI, AI Spend Control, AI Cost Optimization. Features include shadow AI detection, per-employee/per-tool budget setting, waste flagging, and on-premises data handling.
Unique value
Independent AI measurement layer that spans the full AI arc from adoption to control to optimization, showing every AI tool (including shadow AI), every agent, and every dollar in one place — with sensitive data never transmitted to its servers (stays on-premises).
Target customer
Enterprise CXOs, CIOs, IT Directors, and AI leaders across heavily regulated industries (finance, automotive IoT, pharmaceuticals) and any industry with substantial AI usage.
Industries served
Finance, automotive IoT, pharmaceuticals, and any industry with substantial AI usage.
Technology advantage
Founded by ex-Google Applied AI Lead with deep TPU performance profiling expertise; on-premises data handling for regulated industries; automated mapping of tools/users/departments without surveys or spreadsheets; addresses the AI-as-metered-utility cost model that legacy SaaS FinOps tools miss.
How they differentiate
Unlike traditional cloud FinOps tools (CloudZero, Vantage, Apptio) that focus on cloud infrastructure cost, Guickly is purpose-built for AI spend measurement — tracking AI tools, agents, shadow AI, and token usage. It never transmits sensitive content (prompts, source code) to its servers, keeping data on-premises for regulated industries.
Main competitors
CloudZero, Vantage, Apptio Cloudability, IBM Turbonomic
Major milestones
Founded 2025, Guickly India Private Limited incorporated Sep 24, 2025 (Gurugram, Haryana, CIN U62099HR2025PTC136832), launched publicly with $4.2M seed funding led by Engineering Capital announced September 1, 2026.
Market positioning
Early-stage entrant in the emerging AI cost visibility/FinOps category, positioning as the "AI measurement layer" for enterprises as AI becomes the fastest-growing (and least visible) line item in the enterprise budget.
Geographic focus
Global enterprise market, with dual operations in the US (San Jose, CA) and India (Gurugram).
About Prashant Jalan
Ex-Google Applied AI Lead (built Google Maps speed limit feature, developed TPU performance profiler); IIT Kanpur (Indian Institute of Technology, Kanpur).
Latest news about Guickly
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Official website: https://guickly.com/
