Understudy Labs
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
Y Combinator
yc-company-directory #3153An 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
sourceUnderstudy Labs is classified as AI agents from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to Understudy Labs
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
OpenProse
match 87OpenProse is building open-source infrastructure for long-running AI work: a declarative language plus the Reactor harness/runtime for reliable agent workflows. Our organic open-source traction (7k+ installs) has already translated into a customer at a medical research lab, starting with a $10k pilot set to roll into a $10k/month contract. YC recruited us into the current batch and we've since hired two senior founding team members (ex-Google, Forbes 30u30 harness engineer). All three founding t
shared extracted concept terms: infrastructure, workflow; shared product terms: infrastructure, workflow, install, already; shared product theme: workflow automation, developer infrastructure, open source and local first; same category: AI agents; shared affiliation: Y Combinator
Zillabyte
match 72Zillabyte is a cloud platform for data analysis. Build apps, not infrastructure. We set up and maintain the infrastructure you need to analyze your data. All you need to do is develop your app locally and test it using the our CLI. When you need to scale, push to our servers. Easily add more functionality with components, modular code blocks that let you perform additional functions such as: geo coding, fraud analysis, and web scraping. Use your own private datasets or plug into our off-the-shel
shared extracted concept terms: infrastructure; shared product terms: own, coding, infrastructure, set; shared product theme: developer infrastructure; shared affiliation: Y Combinator
Nyckel
match 66Use Nyckel to train and integrate state of the art machine learning into your application. Our ML platform can be used by anyone and it only takes minutes to train your first model. Once trained, your functions is immediately deployed to production grade infrastructure.
shared extracted concept terms: production, infrastructure; shared product terms: train, model, deploy, production; shared product theme: developer infrastructure; shared affiliation: Y Combinator
Activeloop
match 62We provide a simple API for creating, storing, versioning, and collaborating on multi-modal AI datasets of any size. With Activeloop's open-core stack, you can rapidly transform and stream data while training models at scale. Deep Lake powers foundational model training by acting as a vector database with significant benefits, such as (1) the ability to use multi-modal datasets to fine-tune your own LLM models, (2) storing both the embeddings and the original data with automatic version control,
shared product terms: train, model, scale, fine; shared product theme: developer infrastructure; shared affiliation: Y Combinator
Scispot
match 61Scispot is the best tech stack for biotech. It's the first-ever toolkit that lets you tailor it to your needs – no coding required. Think of it as a super combo of ELN + LIMS + Integrations + Analytics. You can set it up using a user-friendly interface (GUI) or by entering commands (CLI). It's about making your digital biotech dreams a reality. You can design your data infrastructure, automate your workflows and integrations and make your data ready for machine learning and artificial intelligen
shared extracted concept terms: infrastructure; shared product terms: toolkit, coding, set, infrastructure; shared product theme: workflow automation, developer infrastructure; shared affiliation: Y Combinator
Mastra
match 61Mastra is the easiest way to build a production AI application, built by the team that brought you Gatsby. We provide a complete set of AI primitives: workflows for complex operations, agents for autonomous decisions, RAG for knowledge integration, and evals for quality & accuracy. Mastra is open-source, modular, and built in Typescript for product developers. You can deploy Mastra on any cloud, and it gives you a straightforward syntax to solve the hardest problems building with AI: human-in-th
shared extracted concept terms: workflow; shared product terms: production, set, workflow, deploy; shared product theme: workflow automation, developer infrastructure, open source and local first; same category: AI agents; shared affiliation: Y Combinator