nao Labs
nao is an open source framework to build and deploy analytics agent. Create the context of your analytics agent with nao-core cli: data, metadata, modeling, rules, etc. Deploy a UI for anyone to chat with your agent and run analytics on your data.
Y Combinator
yc-company-directory #369nao is an open source framework to build and deploy analytics agent. Create the context of your analytics agent with nao-core cli: data, metadata, modeling, rules, etc. Deploy a UI for anyone to chat with your agent and run analytics on your data.
sourcenao 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 nao 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.
Lingo.dev
match 71Lingo.dev is a localization engineering platform where teams create localization engines – stateful translation APIs configured with glossaries, brand voice rules, per-locale model preferences, and quality scoring. Each engine persists domain context across every request via retrieval augmented localization (RAL). Integrate via API, CLI, CI/CD, or other integrations. Localization infrastructure behind 200M+ translated words for teams including Mistral, Solana, SoSafe, and Cal.com.
shared extracted concept terms: rule, cli; shared product terms: create, rule, model, context; shared product theme: context and memory, developer infrastructure; shared affiliation: Y Combinator
Grai
match 57Grai is open source version control for metadata. We can determine how database changes will affect deployed machine learning models, apis, and dashboards because we understand how data relates across systems which don’t otherwise talk to each other.
shared extracted concepts: metadata; shared product terms: metadata, deploy, model; shared product theme: developer infrastructure, open source and local first; shared affiliation: Y Combinator
Doublezero
match 53Doublezero is a platform that provides developers with everything they need to build, operate, and monetize autonomous agents. Developers can focus on creating tools while Doublezero handles reasoning frameworks, state management, analytics, monetization, and a runner UI. Users can interact with agents through a powerful UI that allows play, pause, rewind, and human intervention, and discover or share agents and tools through an integrated marketplace.
shared extracted concept terms: ui, analytic; shared product terms: framework, analytic, ui; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
Omnara
match 48Omnara is an open-source, model-agnostic control plane for managed agents. One API to deploy, run, and control them. Self-host it, or use our managed cloud.
shared extracted concept terms: model; shared product terms: deploy, model, run; shared product theme: developer infrastructure, open source and local first; same category: AI agents; shared affiliation: Y Combinator
Model Share AI
match 47Model Playgrounds (all in one ML project pipelines) are our core offering. Use them to instantly deploy ML models, continuously improve them in collaboration with your team, and get rich model architecture analytics. We are also rapidly growing the largest database of reusable ML models in the world. Our platform further offers ML model reproducibility and a large repository of reusable code. And our users can also build a LinkedIn like data science portfolio page along the way. All-in-one machine learning project pipeline that improves models and deploys instantly.
shared extracted concept terms: model; shared product terms: model, core, deploy, analytic; shared product theme: developer infrastructure
Finic
match 40Finic helps fraud teams catch organized fraud earlier, act on it faster, and turn discoveries into lasting defenses. Our AI agent analyzes structured and unstructured data across your systems to proactively surface the fraud that rules and scoring models miss.
shared extracted concept terms: rule, model; shared product terms: rule, model; same category: AI agents; shared affiliation: Y Combinator