KEY HIGHLIGHTS

• Guickly raised $4.2M for AI measurement solutions.
• Founded by former Google AI lead Prashant Jalan.
• Aims to improve visibility and cost management of AI in enterprises.
• Secures participation from Engineering Capital, Converge VC, Neon Fund.
• Focuses on identifying and managing 'shadow AI' and optimizing costs.

Introduction

In 2026, the landscape of AI and deeptech continues to evolve rapidly, with startups and tech giants alike exploring new frontiers. One such innovative venture is Guickly, an enterprise AI measurement company founded by Prashant Jalan, former lead of applied AI at Google.

About Guickly

Prashant Jalan, with a rich background in AI, including work on Google Maps speed-limit features and optimizing TPU performance, has launched Guickly to address a critical enterprise challenge: understanding AI usage and its associated costs.

Guickly's solution acts as an independent measurement layer across an organization’s environment. It identifies AI tools and agents, including unauthorized or untracked 'shadow AI', attributes spending, sets budgets by employee or tool, and flags waste such as unused licenses and expensive model choices.

The Funding Round

Guickly recently secured $4.2 million in a seed funding round led by Engineering Capital, with participation from Converge VC, Neon Fund, and angel investors. This funding will support Guickly’s mission to enhance visibility and cost management of AI across corporate systems.

Key Features of Guickly

Guickly’s product offers several key features designed to improve AI governance and cost management:

• Independent Measurement Layer: Provides a comprehensive view of AI tools and agents within an organization.
• Budget Management: Sets budgets by employee or tool to optimize spending.
• Waste Detection: Flags unused licenses and expensive model choices to reduce costs.
• On-Premises Security: Ensures prompts, source code, and other sensitive materials remain on-premises and are not transmitted to Guickly’s servers.

The Importance of AI Measurement

As AI moves from experimentation into routine business processes, traditional software subscription models no longer suffice. Generative AI, with its variable costs linked to usage, requires a new approach to financial visibility and governance. Guickly aims to provide this by ensuring leaders have clear insights into their AI usage and spending.

Industry Context

The funding comes amid a surge in investor interest in enterprise-focused AI solutions. For instance, Bengaluru-based Ringg AI raised $10 million from Peak XV Partners and existing investors to expand its voice AI agents for businesses. Similarly, Neysa, an AI acceleration cloud platform, raised $1.2 billion in February 2026 to expand its GPU infrastructure.

FAQ

**Q: What is Guickly’s main focus? **A: Guickly’s main focus is on measuring AI usage and spending to improve visibility and cost management in enterprises.

**Q: Who founded Guickly? **A: Guickly was founded by Prashant Jalan, former lead of applied AI at Google.

**Q: How does Guickly ensure data security? **A: Guickly ensures data security by keeping prompts, source code, and other sensitive materials on-premises and not transmitting them to its servers.

Conclusion

Guickly’s innovative approach to measuring AI usage and spending is poised to revolutionize how enterprises manage their AI investments. With strong backing from notable investors, Guickly is well-positioned to make a significant impact in the enterprise AI space.

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