Bina Khimani, Co-founder, CPO & CRO, Kinesis Cloud | She Pitches, She Wins | TiEcon 2025
In an era where AI workloads are expanding faster than traditional cloud infrastructure can handle, Kinesis Cloud is boldly stepping in with a new cloud paradigm. At TiEcon 2025’s “She Pitches, She Wins” stage, Bina Khimani—Co-founder, CPO, and CRO—introduced Kinesis Cloud as the serverless AI infrastructure layer built for the future.
With a lighthearted nod to Satya Nadella stopping by their booth earlier in the day, Bina set the tone: “If Microsoft wants to announce a partnership, feel free to invoice us,” she joked. But beneath the humor lies a serious innovation powering the next generation of AI and enterprise workloads.
A New Way to Cloud
Kinesis Cloud is a fully serverless, automated infrastructure software layer focused on AI model provisioning, orchestration, and optimization. Its platform reduces model training time by 50% and costs by up to 60%—a breakthrough for startups and enterprises facing massive compute demands.
Just upload your model, workload, or app, and Kinesis handles the rest—no need for manual scaling, clustering, or infrastructure oversight. It’s already being used across high-stakes industries like fintech, biotech, and trading, where downtime can literally mean legal risk.
Built by Cloud Insiders
Bina brings deep cloud expertise, having formerly led AWS’s commerce platform optimization. Her co-founders hail from AWS and Meta, making the team a powerhouse of cloud veterans. As she put it: “We’re the people who built the cloud, broke it, fixed it, and now we’re rebuilding it for GenAI.”
The startup recently raised $2.71 million at a $60 million valuation—backed not by family or friends, Bina quipped, but by serious VCs who see real commercial potential.
Traction, Customers, and Massive Cost Savings
Kinesis is already powering mission-critical AI infrastructure for Fortune 100 companies (names under NDA) and high-compute startups, including biotech firms working on protein folding and molecular binding. In one case, a Harvard-MIT-led startup reduced an 8-month, $8M compute requirement on AWS to 2 months and $400K on Kinesis Cloud.
Customers pay via a pay-as-you-go model, optimized by verticals and supported through strong GTM partnerships like Multiverse Computing.
About Kinesis Cloud
Kinesis Cloud is a next-gen serverless AI infrastructure layer that radically simplifies and optimizes cloud deployment for compute-intensive workloads. Designed by ex-AWS and Meta experts, the platform delivers unmatched speed, scalability, and cost-efficiency for GenAI, biotech, and enterprise data applications.