autoscaling
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The Exam That Never Ends: How ExamRoom.AI Tamed 60 AI Models Before the Bell Rang
A TrueFoundry case study on ExamRoom.AI, an AI-first assessment platform that runs 60+ distinct AI solutions across exams that can last up to 28 hours. After an object-detection model that passed local testing failed in production, ExamRoom.AI moved off hand-managed Kubernetes onto TrueFoundry's deployment platform and AI Gateway. Deployment dropped from six days to under two hours, the platform scaled from a handful of test users to 500,000 in production, and three ML Ops engineers were freed from cluster babysitting to build product.
Modal
Modal is a serverless cloud platform that lets developers run compute-intensive AI and data workloads - inference, training, fine-tuning, batch jobs, and sandboxed code - without managing infrastructure. Built from scratch in Rust with a custom container runtime, file system, and GPU memory snapshotting, it delivers sub-second cold starts and elastic autoscaling from zero to thousands of GPUs, billed by the second. Founded in 2021 by Erik Bernhardsson and Akshat Bubna, the New York-based company reached roughly $300M in annualized revenue and raised a $355M Series C in 2026 at a $4.65B valuation.
Espresso AI
Espresso AI is a New York-based startup that uses large language models and machine learning to automatically cut cloud data-warehouse bills. Founded in 2023 by three former Googlers, it markets a 'neural optimizer' - a set of AI agents that autoscale, schedule and rewrite SQL on platforms like Snowflake and Databricks, promising up to ~70% cost savings without changing query results. The company emerged from stealth in May 2024 with $11M in seed funding from Nat Friedman, Daniel Gross and FirstMark.
Zesty
Zesty builds an automated Kubernetes and cloud optimization platform that continuously right-sizes compute, storage, and cloud commitments to match real-time workload demand. Its flagship Kompass platform cuts Kubernetes compute and storage costs by up to 70% without compromising performance or SLAs, using multi-dimensional autoscaling, fast node deployment, and predictive automation. Founded in 2019 and backed by roughly $129M in funding, Zesty manages billions in cloud spend across thousands of accounts for engineering and FinOps teams.
Render
Render is a San Francisco-based cloud application platform that lets developers and software teams deploy web services, databases, cron jobs, and AI workloads without managing servers. Founded in 2018 by former Stripe engineer Anurag Goel, the company has grown into one of the most popular alternatives to Heroku and a default choice for AI-native startups, now valued at $1.5 billion after a $100M Series C extension in February 2026.
Maxim Melamedov
Maxim Melamedov is the CEO and co-founder of Zesty, a Palo Alto-based cloud infrastructure optimization platform that has raised $124M to help enterprises slash cloud costs through AI-driven autoscaling. Born in the Soviet Union, raised in Israel, and now operating out of Silicon Valley, Melamedov built Zesty from a 2019 insight - that 30-40% of cloud infrastructure sits idle while companies pay full price. With products spanning Kubernetes optimization, compute rightsizing, and commitment management, Zesty now manages billions in cloud waste across 1,000+ accounts for enterprise customers including Wiz, Armis, and WalkMe.