Born from a Problem We Lived
We set out to solve a problem that kept us up at night. And the result is in front of you.
"Where is all this AI spend going?"
Midhun was deep in the trenches as a DevOps engineer, specializing in cloud cost management. He'd mastered the art of tagging, tracking, and optimizing every compute dollar. But when AI entered the picture, everything changed.
Suddenly, founders of AI-powered companies were asking questions he couldn't answer: "How much does it cost to serve User X?" "What's the margin on this feature?" "How should we price our product?"
The answers were locked inside a black box of API calls and token counts that no one was tracking properly.
Two perspectives, one mission
Meanwhile, Sujith — a Senior Solutions Architect who had built and scaled 10+ products — was seeing the same gap from the other side. Product teams were making pricing decisions based on gut feelings, not data. Margins were being eroded without anyone noticing.
When they connected, it clicked immediately. The problem wasn't just real — it was universal. Every company building with AI was flying blind on costs.
tknOps was born
We built tknOps to be the cost visibility layer that every AI company needs but doesn't have. Tag every token by user, feature, or team. See exactly where your AI spend is going. Price your products with confidence.
Because you can't optimize what you can't see.
Meet the Founders
Two builders who saw a gap and decided to fill it.
Midhun
Co-Founder & CEO
DevOps engineer specialized in cloud cost management. Witnessed firsthand how AI costs were slipping through the cracks, leaving founders flying blind.
Connect on LinkedInSujith
Co-Founder & CTO
Senior Solutions Architect with 10+ products built and scaled. Saw the same cost visibility gap and knew there had to be a better way.
What We're Building Toward
Bring Unit Economics Visibility to the AI Era
Every token, every user, every feature — we make the invisible visible so you can build sustainably.
Make AI Costs Transparent
No more guessing. Know exactly what each AI call costs and who's using what, in real-time.
Ready to see where your AI spend is going?
Join the teams who've stopped guessing and started knowing.