Nyckel

Mystic’s platform allows companies to easily and reliably deploy ML models on our serverless cloud or on their own infrastructure without requiring a team of MLOps engineers. With our Python SDK, data-scientists immediately get an endpoint from their own model, or any open-source models. Once uploaded, our platform handles routing, multi-cloud scaling, caching, GPU optimization and other features to provide the ultimate ML inference platform.

shared extracted concept terms: ml; shared product terms: deploy, ml, model, infrastructure; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator

An open-source toolkit to capture traces, evaluate cheaper models against benchmarks, and ship specialist routes you own. Capture traces from LLM production workflows with a single install that deploys within coding agents you already use. Hosted infrastructure is optional. Evaluate the captured traces and set a benchmark for success. Every future model switch meets or exceeds it in A/B testing. Train and fine-tune a new model on prompts and weights you always own. Start locally and scale into c

shared extracted concept terms: production, infrastructure; shared product terms: train, model, deploy, production; shared product theme: developer infrastructure; shared affiliation: Y Combinator

Teleport unifies identities — humans, machines, and AI — with strong identity implementation to speed up engineering, improve resiliency against identity-based attacks, and secure AI in production infrastructure.

shared extracted concept terms: machine, production, infrastructure; shared product terms: machine, production, infrastructure; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator

Trident Bioscience builds tools to expedite the discovery and optimization of useful proteins. Our technology first applies predictive models of protein structure and function to generate sets of potentially active protein sequences. We then apply our state-of-the-art sequence optimization algorithm to design gene libraries capable of testing these candidates extremely quickly and affordably. By combining these technologies, we're closing the design-build-test loop of protein optimization and cu

shared extracted concept terms: state, art; shared product terms: state, art, model, function; same category: AI infrastructure; shared affiliation: Y Combinator

What if you could train a biological foundation model on... the entire internet? Exonic is pioneering a new generation of biological foundation models, focused on heterogeneous, unstructured, and noisy datasets. Our first application is the design of safer gene therapies. In 2025, we used AI to set a new state of the art in liver cancer targeted gene therapy, validated in vitro in our lab in San Francisco. So far in 2026, we have trained a new model with unprecedented zero-shot generalization on

shared product terms: train, model, application, used; same category: AI infrastructure; shared affiliation: Y Combinator

Qovery is the first Container as a Service (CaaS) platform that allows anyone to develop and deploy an application in just a few minutes.

shared extracted concepts: anyone; shared product terms: application, anyone, minute, deploy; shared product theme: developer infrastructure