- Prashant Jalan, former lead of applied AI at Google, has launched Guickly, an enterprise AI measurement company.
- Guickly has raised $4.2 million in a seed funding round led by Engineering Capital, with participation from Converge VC, Neon Fund and angel investors.
- The funding will support Guickly's work on measuring AI usage and spending, improving visibility across corporate systems, and helping enterprises manage costs as adoption increases.
- Jalan stated, “We believe time is sacred, and speed is respect,” emphasizing the importance of quick access to information about AI usage.
- Before founding Guickly, Jalan was a lead in applied AI at Google, where he contributed to the speed-limit feature on Google Maps and developed a profiler to optimize TPU performance.
- Guickly is designed to help organizations identify AI tools and agents, including unauthorized or untracked tools often referred to as “shadow AI”.
- The platform can attribute spending, set budgets at the employee or tool level, and flag potential waste, including unused licenses and costly model choices.
- Guickly ensures that prompts, source code, and other sensitive material remain on-premises rather than being transmitted to its servers.
Prashant Jalan, the former lead of applied AI at Google, has launched Guickly, a startup focused on enterprise AI measurement, raising $4.2 million in seed funding from Engineering Capital, Converge VC, Neon Fund, and angel investors.126
Guickly aims to provide organizations with a clearer view of their AI usage and spending, addressing the growing need for financial visibility as AI becomes integral to business processes. The platform identifies AI tools, including unauthorized 'shadow AI', attributes spending, sets budgets, and flags potential waste such as unused licenses and costly model choices.7
Jalan emphasized the importance of timely information, stating, 'We believe time is sacred, and speed is respect.' The startup's product acts as an independent measurement layer, ensuring that sensitive data remains on-premises and is not transmitted to Guickly's servers. This focus on governance is crucial as enterprises increasingly adopt AI technologies.
With the funding, Guickly plans to enhance its capabilities in measuring AI usage and spending, ultimately helping companies manage costs more effectively as AI adoption accelerates.3
“Guickly's platform identifies 'shadow AI' tools and agents, attributes spending, and flags waste like unused licenses and costly model choices. The company says sensitive data stays on-premises, not transmitted to its servers, as enterprises seek visibility amid rising AI adoption.”
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