We are out of stealth, with funding of $4.2M.
Guickly is the AI measurement layer for the enterprise. Every AI tool, model and agent your company runs, what each one costs, and what it returns, in one view.
The round was led by @ashmeetsidana (@EngineeringCap) with participation from @anshuagarwal101 (@ConvergeVC), @siddharthaa7 (@neon_fund) and @ChrSzegedy (co-founder of @xai).
For two years, the question was which model is best. Now it is which model is worth it.
Most enterprises cannot answer the second. No view of who is spending, on what, to what effect.
Measurement is the first step of an AI strategy, not the last.
Guickly - AI measurement layer by @guicklyai just joined Launch Llama
AI measurement layer for enterprise
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The companies that win the next phase of AI will not be the ones that spent the most. They will be the ones who can explain what the spending returned.
@Prashant_Jalan, Guickly's founder, wrote about that gap in @Forbes as a member of @ForbesTechCncl
https://t.co/JajwJy40ZN
"AI services can produce variable bills tied to tokens, queries, or compute use."
CFOtech on why AI spend broke the fixed-seat model. That gap is why we built Guickly.
Thanks @techday for the coverage.
https://t.co/vOi7TEfaE7
Tokens Are the New Lines of Code
"Code is capital. Tokens are consumption. You can amortise a codebase. You cannot amortise a token."
Article link in the comments.
The brand behind a $4.2M raise.
@GuicklyAI just closed their seed round and we built the brand that showed up for every conversation that led to it.
More on how we did it very soon.
Thanks @mvizard and @Techstrongai for covering our story.
Mike named the thing most enterprises are not pricing in:
"Organizations should also assume that the cost of AI will rise as providers of frontier models look to reduce the amount of subsidies they currently provide to encourage adoption."
Today's AI prices are a customer acquisition subsidy. When it goes, AI measurement stops being a nice-to-have.
It is what will separate the companies scaling AI from the ones just spending on it. That is what we are solving at Guickly.
https://t.co/M5S9osx4Hz
Eight years at Google building the systems that measured other systems.
Then discovering nobody could measure AI.
@Prashant_Jalan on why we built Guickly -
https://t.co/1FczsCsvSz
“We believe time is sacred, and speed is respect. Leaders shouldn’t have to chase people to find answers. Guickly brings the answers to them without them having to ask.” - Prashant Jalan, Founder of Guickly
https://t.co/JL2z2arFRn
Tomorrow Claude Sonnet 5 goes from $2/$10 to $3/$15 per million tokens
It is your default model; your bill rises 50% without a single change in how your team works
Most will find out from invoice a month later
Guickly gives you real-time updates
Stay Tuned, Launching Soon 🚀
McKinsey's 2026 State of AI survey, out this week:
Nearly 9 in 10 companies use AI in at least one function.
37% can attribute any EBIT impact to it. Unchanged from last year.
1 in 5 say AI operating costs are already constraining their use.
Cost became a constraint before measurement became a practice.