Cloud engineers have excellent reasons to reserve too much computing power. ScaleOps sells a way to change that habit without making production the experiment.
The glamour in artificial intelligence belongs to the model. The bill belongs to inference. Simplismart built a business in that awkward second between a clever answer and one that arrives fast enough, cheaply enough, and inside the right security perimeter.
Cloud engineers are paid to fear surprises. Sedai built a business by asking them to let software change production anyway - one reversible, measurable step at a time.
Most cloud tools can point at waste. Kubex is betting that the valuable part is changing production safely - and that a 27-year-old analytics company can teach Kubernetes to tune itself.
The Seattle startup raised $26 million to move development off laptops. Then its own cloud margins revealed a better product: software that cuts Kubernetes and AI waste without making reliability the price of admission.
TrueFoundry is a San Francisco-based enterprise agentic AI platform that helps Fortune 1000 companies deploy, govern, and scale AI and machine learning applications. Founded in 2021 by former Meta engineers from IIT Kharagpur, it provides an end-to-end MLOps/LLMOps platform covering model deployment, AI gateway, model registry, prompt lifecycle management, and observability - all on the customer's own infrastructure with SOC 2, HIPAA, and GDPR compliance. With $21.3M in total funding led by Intel Capital and Peak XV, TrueFoundry's platform manages 1,000+ clusters, processes 10+ billion monthly API requests, and delivers 40-50% infrastructure cost reductions for customers including Siemens Healthineers, ResMed, NVIDIA, and Automation Anywhere.