Mindori
Mindori is the accurate way to search your app by voice for e-commerce companies. Build magical conversational search for your app in minutes, with no learning curve. "What about shirts that I can wear at a wedding?". Search over concepts that you may not have thought to index in your database. "Find a green shirt" - "What about in red?". Make the experience magical for users through context. Was it "Koffee Kult" or "coffee cult"? Customize speech recognition models for your product catalog and
Y Combinator
yc-company-directory #1187Mindori is the accurate way to search your app by voice for e-commerce companies. Build magical conversational search for your app in minutes, with no learning curve. "What about shirts that I can wear at a wedding?". Search over concepts that you may not have thought to index in your database. "Find a green shirt" - "What about in red?". Make the experience magical for users through context. Was it "Koffee Kult" or "coffee cult"? Customize speech recognition models for your product catalog and
sourceMindori 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.
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 Mindori
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.
Armature
match 72Armature helps companies monitor, analyze, and optimize how AI agents experience their products. What we do today: - Automated testing: We run complex sessions against your MCPs/CLIs across all major harnesses and models to catch broken workflows before your users do. - AX analytics & benchmarking: No more black boxes. We trace agent sessions to show you exactly what the model "thought", what context it missed, and why it failed. We measure your AX against competitors to ensure you remain the pr
shared extracted concept terms: companie; shared product terms: companie, experience, what, model; shared product theme: context and memory; shared affiliation: Y Combinator
Besimple AI
match 69We are building the data layer for AI, starting with audio. We start with data collection, curating our own proprietary set of diverse conversational data covering a wide range of languages, dialects and accents. We then leverage human expert audio annotators and our own annotation platform to process audio data for Automatic Speech Recognition. With human level transcription and diarization, our data help push the audio model frontier. Today we have over millions of hours of conversational data
shared extracted concept terms: speech, recognition; shared product terms: conversational, speech, recognition, model; shared product theme: context and memory; same category: AI infrastructure; shared affiliation: Y Combinator
Kalpa Labs
match 61We'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: speech, model; shared product terms: speech, model, context, voice; shared product theme: context and memory; same category: AI infrastructure; shared affiliation: Y Combinator
et al.
match 61et al. is a mobile app that aggregates your newsletters, research papers, articles, and more, in one place. Think of it as an LLM-powered feed delivering you useful content in short insights. For example, if you’re building an AI voice agent, you’ll see the latest in speech-to-text models without having to actively search, go through a pile of research papers, or prompt an LLM. We extract key takeaways from long-form content - allowing you to read as little or as much as you like from the origin
shared extracted concept terms: speech, model; shared product terms: app, voice, speech, model; shared affiliation: Y Combinator
AssemblyAI
match 56Today’s top Voice AI companies rely on AssemblyAI’s speech-to-text and speech understanding models to launch groundbreaking products fast and to scale with ease.
shared extracted concept terms: speech, model; shared product terms: voice, companie, speech, model; same category: AI infrastructure; shared affiliation: Y Combinator
Ficra
match 51Ficra enables product teams to ship higher quality releases, faster. Ficra is the source of truth for every product screen and user flow, giving companies real-time visibility into what their users actually see in their live product. Ficra's AI provides a live, visual map of your users’ journeys: every screen, flow, A/B test, push notification and email. With Ficra, product teams no longer waste 25% of their time auditing complex user flows to assess product quality and find the blind spots in f
shared extracted concept terms: companie; shared product terms: companie, what, no, find; shared product theme: context and memory; same category: AI infrastructure; shared affiliation: Y Combinator