Stellon Labs
Stellon Labs is an AI research lab that is building tiny frontier AI models that can run on edge devices like smartphones, wearables and embedded systems. Our first open source model, KittenTTS, is a super-tiny text-to-speech model, that got 8K Github stars and 45K model downloads within 2 weeks of launching.
Y Combinator
yc-company-directory #3017Stellon Labs is an AI research lab that is building tiny frontier AI models that can run on edge devices like smartphones, wearables and embedded systems. Our first open source model, KittenTTS, is a super-tiny text-to-speech model, that got 8K Github stars and 45K model downloads within 2 weeks of launching.
sourceStellon Labs is classified as AI infrastructure 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.
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Companies similar to Stellon 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.
AfterQuery
match 56AfterQuery is an applied research lab curating data solutions for frontier foundation model development. Serving every frontier AI lab.
shared extracted concept terms: frontier, model; shared product terms: research, lab, frontier, model; same category: AI infrastructure; shared affiliation: Y Combinator
Kalpa Labs
match 54We're building the next frontier of speech models. Generalist speech models that unlock in-context learning & strong instruction following for speech models alongside unifying existing speech capabilities like speech to text, text to speech, voice cloning, etc.
shared extracted concept terms: model; shared product terms: frontier, speech, model, like; same category: AI infrastructure; shared affiliation: Y Combinator
ego
match 54we are making AI feel more human starting with voice. ai applied research lab training a novel end-to-end model & productizing what makes AI more personal, persistent, and human. frontier AI, like Claude and ChatGPT, are weak on memory, personality, relationship, and human-like interaction...that's our domain.
shared extracted concept terms: frontier; shared product terms: research, lab, model, frontier; same category: AI infrastructure; shared affiliation: Y Combinator
ZeroEntropy
match 53We are on a mission to build the world’s most accurate, fastest, and cheapest task-specific models for every production AI system. Most AI products, whether copilots, agents, or search systems, depend on frontier LLMs to handle every step of their pipeline. Yet, the vast majority of these steps are narrow, repeatable workloads: reranking, embedding, classification, routing, query rewriting, context compression, where frontier intelligence is overkill. Running them on general-purpose models is sl
shared extracted concept terms: frontier, model; shared product terms: frontier, model, embedd, system; shared affiliation: Y Combinator
Kestrel Labs
match 53Kestrel Labs is building the compliance engine for the built world. Our AI reads building codes like a lawyer, reasons like an architect, and checks 3D models for compliance in seconds. We flag violations, explain why they fail, and point to solutions, turning weeks of code research into instant, actionable answers. Faster design cycles, fewer mistakes, and safer buildings at scale.
shared extracted concept terms: model; shared product terms: labs, like, model, week; same category: AI infrastructure
RunAnywhere
match 51Edge AI is inevitable, but shipping it is painful: every device class behaves differently, runtimes vary, models are huge, and performance collapses under memory/power constraints. RunAnywhere turns that into an enterprise-ready workflow: one SDK to run models on-device, plus a control plane to manage models, enforce policies, and measure outcomes across thousands of devices.
shared extracted concept terms: model; shared product terms: edge, device, model, run; shared product theme: open source and local first; same category: AI infrastructure; shared affiliation: Y Combinator