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No Indian idea should have to wait for translation. Introducing Indic-Translate: built to carry meaning across India's languages. Built by @BodhanAI & AI4Bharat. 22 languages, both directions · 32K context, whole documents at once Live on · 05.09.2026

Mitesh Khapra

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129,819 просмотров • 21 дней назад •via X (Twitter)

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India is a voice-first nation: countless languages, scripts, and accents. Introducing Indic-Transcribe: built to understand India as she actually speaks. Built by @BodhanAI and @AI4Bharat. 🎙️ 1.2B params · 26 languages + English Live on 05.09.2026

India is a voice-first nation: countless languages, scripts, and accents. Introducing Indic-Transcribe: built to understand India as she actually speaks. Built by @BodhanAI and @AI4Bharat. 🎙️ 1.2B params · 26 languages + English Live on 05.09.2026

Mitesh Khapra

150,822 просмотров • 25 дней назад

Transcribe. Translate. Recognise. And now — Synthesise. Introducing Indic-Speak: 4B params, 23 languages, one model. Built by BodhanAI and AI4Bharat There's a bit in this video where two speakers, Parth and Dhara, have a podcast style conversation about "Attention Is All You Need" in Hindi — generated in a single pass, no stitching two voices together after the fact. Doesn't sound like TTS (worth checking out in the video). Also handles code-mixed speech naturally, gets PAN/Aadhaar/currency right, and reads a full Tamil audiobook chapter without losing the thread. Live on 05.09.2026 on BodhanAI

Transcribe. Translate. Recognise. And now — Synthesise. Introducing Indic-Speak: 4B params, 23 languages, one model. Built by BodhanAI and AI4Bharat There's a bit in this video where two speakers, Parth and Dhara, have a podcast style conversation about "Attention Is All You Need" in Hindi — generated in a single pass, no stitching two voices together after the fact. Doesn't sound like TTS (worth checking out in the video). Also handles code-mixed speech naturally, gets PAN/Aadhaar/currency right, and reads a full Tamil audiobook chapter without losing the thread. Live on 05.09.2026 on BodhanAI

Mitesh Khapra

130,298 просмотров • 10 дней назад

Everything we have built at BodhanAI and AI4Bharat is now live. 🎉 Open-weight speech, vision & translation models for India's languages, available on Hugging Face. The same stack, hosted at some of the lowest prices in the market. 🤗 Read more about in our blogs: >>> API end-points live now on Bodhan AI. >>> Shout-out to Sarvam, our inference infrastructure partners for helping us serve our models reliably and affordably at scale. Dedicated to Pushpak Bhattacharyya Sir. His love for education and Indian language technology inspired all of it. 🙏

Everything we have built at BodhanAI and AI4Bharat is now live. 🎉 Open-weight speech, vision & translation models for India's languages, available on Hugging Face. The same stack, hosted at some of the lowest prices in the market. 🤗 Read more about in our blogs: >>> API end-points live now on Bodhan AI. >>> Shout-out to Sarvam, our inference infrastructure partners for helping us serve our models reliably and affordably at scale. Dedicated to Pushpak Bhattacharyya Sir. His love for education and Indian language technology inspired all of it. 🙏

Mitesh Khapra

131,170 просмотров • 4 дней назад

India’s Sovereign Move - Sarvam Vision Cracks the Code across 22 Indian languages Sarvam Vision is an AI model from Sarvam AI that excels in optical character recognition (OCR) for 22 Indian languages, outperforming global models like Gemini and GPT-4o on Indic benchmarks. This achievement supports India's push for sovereign AI by digitizing real-world documents and archives in local scripts. Sarvam Vision, a 3-billion-parameter model, handles "messy" scanned paperwork across languages like Hindi (95.91% accuracy), Bengali (92.61%), Tamil (93.42%), Marathi (93.13%), and even low-resource ones like Santali and Dogri (over 80%). It structures data natively without relying on English translation layers, enabling applications in cultural recovery and document intelligence. The model powers India's sovereign AI infrastructure under the IndiaAI Mission, where Sarvam was selected to build a national LLM. This launch fits Sarvam's broader stack, including prior models like Sarvam-Translate (also for 22 languages) and audio models for code-mixed speech. By focusing on Indic challenges ignored by Western AI, it unlocks centuries of knowledge in non-English archives. Recent demos, like digitizing historical texts, highlight its real-world impact beyond benchmarks. Credit : AIM Network.

India’s Sovereign Move - Sarvam Vision Cracks the Code across 22 Indian languages Sarvam Vision is an AI model from Sarvam AI that excels in optical character recognition (OCR) for 22 Indian languages, outperforming global models like Gemini and GPT-4o on Indic benchmarks. This achievement supports India's push for sovereign AI by digitizing real-world documents and archives in local scripts. Sarvam Vision, a 3-billion-parameter model, handles "messy" scanned paperwork across languages like Hindi (95.91% accuracy), Bengali (92.61%), Tamil (93.42%), Marathi (93.13%), and even low-resource ones like Santali and Dogri (over 80%). It structures data natively without relying on English translation layers, enabling applications in cultural recovery and document intelligence. The model powers India's sovereign AI infrastructure under the IndiaAI Mission, where Sarvam was selected to build a national LLM. This launch fits Sarvam's broader stack, including prior models like Sarvam-Translate (also for 22 languages) and audio models for code-mixed speech. By focusing on Indic challenges ignored by Western AI, it unlocks centuries of knowledge in non-English archives. Recent demos, like digitizing historical texts, highlight its real-world impact beyond benchmarks. Credit : AIM Network.

Augadh

20,708 просмотров • 7 месяцев назад

Introducing Indic Parler-TTS: Open-Source Text-to-Speech for Over a Billion Indic Speakers! 🌏 In collaboration with Hugging Face, we are excited to release Indic Parler-TTS, a state-of-the-art open-source text-to-speech system designed to bring accessible and high-quality speech technology to India’s diverse linguistic community. Supporting 20 of the 22 scheduled Indian languages—and English in various accents (US, British, Indian)—it’s built to serve over a billion speakers and empower companies, developers, researchers, and communities. Why Indic Parler-TTS Stands Out: 1. Open and Accessible: Fully open-source with permissive licensing for unrestricted usage. 2. Wide Language Support: Includes a vast range of Indic languages, with rich diversity in voices. 3. High-Quality Audio: Produces natural, clear, and lifelike speech. 4. Adaptable and Fine-Tunable: Customize it to new languages, accents, or specific applications. 5. State-of-the-Art Performance: Proven through rigorous evaluation. 6. Versatile and Inclusive: Indic Parler-TTS offers 69 unique voices across 18 Indian languages, making it a perfect fit for diverse use cases like audiobooks, virtual assistants, and educational tools. Let's democratize speech technology together and make speech technology more inclusive and accessible for everyone. ▶️ Experience it now: Demo: Model page:

Introducing Indic Parler-TTS: Open-Source Text-to-Speech for Over a Billion Indic Speakers! 🌏 In collaboration with Hugging Face, we are excited to release Indic Parler-TTS, a state-of-the-art open-source text-to-speech system designed to bring accessible and high-quality speech technology to India’s diverse linguistic community. Supporting 20 of the 22 scheduled Indian languages—and English in various accents (US, British, Indian)—it’s built to serve over a billion speakers and empower companies, developers, researchers, and communities. Why Indic Parler-TTS Stands Out: 1. Open and Accessible: Fully open-source with permissive licensing for unrestricted usage. 2. Wide Language Support: Includes a vast range of Indic languages, with rich diversity in voices. 3. High-Quality Audio: Produces natural, clear, and lifelike speech. 4. Adaptable and Fine-Tunable: Customize it to new languages, accents, or specific applications. 5. State-of-the-Art Performance: Proven through rigorous evaluation. 6. Versatile and Inclusive: Indic Parler-TTS offers 69 unique voices across 18 Indian languages, making it a perfect fit for diverse use cases like audiobooks, virtual assistants, and educational tools. Let's democratize speech technology together and make speech technology more inclusive and accessible for everyone. ▶️ Experience it now: Demo: Model page:

AI4Bharat

28,681 просмотров • 1 год назад

We're introducing two new transcription models in the API: • GPT-Live-Transcribe: built for low-latency live transcription. • GPT-Transcribe: optimized for asynchronous transcription of completed audio files and batch workloads. Both models better understand context and deliver more accurate transcription on real world audio across accents and languages, including for short phrases, numbers, specialized terminology, and speech with loud background noise.

We're introducing two new transcription models in the API: • GPT-Live-Transcribe: built for low-latency live transcription. • GPT-Transcribe: optimized for asynchronous transcription of completed audio files and batch workloads. Both models better understand context and deliver more accurate transcription on real world audio across accents and languages, including for short phrases, numbers, specialized terminology, and speech with loud background noise.

OpenAI Developers

453,692 просмотров • 1 месяц назад

Introducing Scribe v2 Realtime – the most accurate real-time Speech to Text model. Built for voice agents, meeting notetakers, and live applications, it transcribes in 150ms across 90+ languages, including English, French, German, Italian, Spanish, Portuguese, Hindi, and Japanese. Available today by API and through ElevenLabs Agents.

Introducing Scribe v2 Realtime – the most accurate real-time Speech to Text model. Built for voice agents, meeting notetakers, and live applications, it transcribes in 150ms across 90+ languages, including English, French, German, Italian, Spanish, Portuguese, Hindi, and Japanese. Available today by API and through ElevenLabs Agents.

ElevenLabs

318,345 просмотров • 10 месяцев назад

microsoft just released a tool that transcribes a full hour of audio at once, tracking who spoke and when. it's called vibevoice the 7b model processes the full recording in one shot instead of chunking it, so speaker identity and context never break across segments → full speaker diarization built in, not bolted on → structured timestamps for every speaker turn → supports 50+ languages runs locally, no api costs.

microsoft just released a tool that transcribes a full hour of audio at once, tracking who spoke and when. it's called vibevoice the 7b model processes the full recording in one shot instead of chunking it, so speaker identity and context never break across segments → full speaker diarization built in, not bolted on → structured timestamps for every speaker turn → supports 50+ languages runs locally, no api costs.

Oliver Prompts

53,501 просмотров • 1 месяц назад

Today, we're launching Flux TTS: expressive voices built for live conversation. We asked our very own Lauren O’Connor to put Flux TTS to the test. Most TTS handles one line at a time. Flux TTS carries context across the whole conversation. And it's a conversation you'll actually want to have. Hear how Flux meets each moment.

Today, we're launching Flux TTS: expressive voices built for live conversation. We asked our very own Lauren O’Connor to put Flux TTS to the test. Most TTS handles one line at a time. Flux TTS carries context across the whole conversation. And it's a conversation you'll actually want to have. Hear how Flux meets each moment.

Deepgram

11,806 просмотров • 1 месяц назад

Onchain U.S. Treasury yield should be liquid, permissionless, & free to access. Now it is. Introducing $aptUSD, a new U.S. Treasury-backed yield-bearing token built to make onchain cash productive without sacrificing liquidity. No lockups. No liquidity concerns. ZERO fees. 🤯 Just hold $aptUSD and earn: • 3.5% backed by U.S. Treasuries & cash equivalents • Yield accrues automatically • Instant exit, no fees • Earn 24x Pips just by holding until Sept. 22 • Built to remain liquid and deployable across DeFi • Live on $ETH, launching soon on $BNB, Base, & $SOL $aptUSD was built to be the attractive way to earn U.S. Treasury yield onchain. Now, market participants no longer need to take on unnecessary smart contract, platform, counter-party, and liquidity risk in DeFi. With $aptUSD, you can earn while you wait to ape. 🚀 Learn more: 👉 Swap into $aptUSD: 👉

Onchain U.S. Treasury yield should be liquid, permissionless, & free to access. Now it is. Introducing $aptUSD, a new U.S. Treasury-backed yield-bearing token built to make onchain cash productive without sacrificing liquidity. No lockups. No liquidity concerns. ZERO fees. 🤯 Just hold $aptUSD and earn: • 3.5% backed by U.S. Treasuries & cash equivalents • Yield accrues automatically • Instant exit, no fees • Earn 24x Pips just by holding until Sept. 22 • Built to remain liquid and deployable across DeFi • Live on $ETH, launching soon on $BNB, Base, & $SOL $aptUSD was built to be the attractive way to earn U.S. Treasury yield onchain. Now, market participants no longer need to take on unnecessary smart contract, platform, counter-party, and liquidity risk in DeFi. With $aptUSD, you can earn while you wait to ape. 🚀 Learn more: 👉 Swap into $aptUSD: 👉

Apyx

14,272 просмотров • 10 дней назад

Sarvam Beats GPT-4o: India’s New AI Model Claims Top Spot in Indic Speech Sarvam AI, an Indian startup, recently launched Sarvam Audio, a speech recognition model that claims superior performance over GPT-4o Transcribe on Indic language benchmarks. This development highlights India's push for AI sovereignty in handling local linguistic nuances. Sarvam Audio supports 22 Indian languages from the Eighth Schedule, plus Indian English, with strong handling of code-mixing like Hindi-English blends. It features built-in speaker diarization for up to eight speakers and processes long-form audio such as podcasts or meetings. Trained on the IndicVoices dataset 12,000 hours from over 16,000 speakers across 208 districts it captures real-world noise and spontaneous speech. The model reportedly outperforms GPT-4o Transcribe and Gemini 3 Flash in transcription accuracy (lower Word Error Rate) on IndicVoices benchmarks for unnormalized, normalized, and code-mixed speech. Sarvam attributes this to specialization on Indian accents and patterns, unlike global models trained on Western data. Detailed public benchmarks are pending independent verification. Key Applications 🔴 Call centers and logistics for multilingual transcription. 🔴 Banking, fintech, and e-commerce for customer interactions. 🔴 Podcasts, meetings, and lectures via API for real-time or batch processing. 🔴 This B2B-focused tool aligns with India's IndiaAI Mission, backed by government GPU access for sovereign LLMs. Credit : AIM Networks.

Sarvam Beats GPT-4o: India’s New AI Model Claims Top Spot in Indic Speech Sarvam AI, an Indian startup, recently launched Sarvam Audio, a speech recognition model that claims superior performance over GPT-4o Transcribe on Indic language benchmarks. This development highlights India's push for AI sovereignty in handling local linguistic nuances. Sarvam Audio supports 22 Indian languages from the Eighth Schedule, plus Indian English, with strong handling of code-mixing like Hindi-English blends. It features built-in speaker diarization for up to eight speakers and processes long-form audio such as podcasts or meetings. Trained on the IndicVoices dataset 12,000 hours from over 16,000 speakers across 208 districts it captures real-world noise and spontaneous speech. The model reportedly outperforms GPT-4o Transcribe and Gemini 3 Flash in transcription accuracy (lower Word Error Rate) on IndicVoices benchmarks for unnormalized, normalized, and code-mixed speech. Sarvam attributes this to specialization on Indian accents and patterns, unlike global models trained on Western data. Detailed public benchmarks are pending independent verification. Key Applications 🔴 Call centers and logistics for multilingual transcription. 🔴 Banking, fintech, and e-commerce for customer interactions. 🔴 Podcasts, meetings, and lectures via API for real-time or batch processing. 🔴 This B2B-focused tool aligns with India's IndiaAI Mission, backed by government GPU access for sovereign LLMs. Credit : AIM Networks.

Augadh

43,429 просмотров • 7 месяцев назад

Today, we released Gemini 3.5 Live Translate, our latest audio model for live speech-to-speech translation. It supports over 70 languages and starts translating as soon as you start talking, streaming translations while listening to what you say next. No awkward pauses or choppy audio, just real connection without language barriers. So, how does it work? 🤔 The model is able to make split-second decisions to juggle speed and translation quality so conversations actually feel fluid, human, and natural. In order to do this, the model must receive and contextualize the input while simultaneously outputting the translated speech. Through this process, Gemini 3.5 Live Translate manages to stay mere seconds behind each speaker and can even maintain pacing, pitch, and intonation across extended sessions. See it in action below, or try it yourself in the Google Translate app on iOS & Android.

Today, we released Gemini 3.5 Live Translate, our latest audio model for live speech-to-speech translation. It supports over 70 languages and starts translating as soon as you start talking, streaming translations while listening to what you say next. No awkward pauses or choppy audio, just real connection without language barriers. So, how does it work? 🤔 The model is able to make split-second decisions to juggle speed and translation quality so conversations actually feel fluid, human, and natural. In order to do this, the model must receive and contextualize the input while simultaneously outputting the translated speech. Through this process, Gemini 3.5 Live Translate manages to stay mere seconds behind each speaker and can even maintain pacing, pitch, and intonation across extended sessions. See it in action below, or try it yourself in the Google Translate app on iOS & Android.

Google AI

3,988,557 просмотров • 3 месяцев назад

Ok I've used Codex 5.4 Extra High for something that saved me so many hours and thousands of dollars and may interest you: -> how I automatically translate my game in 9 languages 1) I did the whole game in English, with no localization in mind 2) Then everybody told me that the reach is way higher by adding local languages 3) So I had a long chat with Codex to write a great spec to build a localization interface and super simple process for afterwards (I want to keep the simplicity) 4) Then translated the game in 9 languages! 5) Every localization is challenged a second time to improve 6) We are talking 580 keys per language - it took 1h35 to find all the hardcoded text and add keys - then it took 1h15 min to do all v1 translations 7) BONUS: it translates automatically all audio with ElevenLabs (using their text to speech skill) Total: Roughly 3 hours to implement a translation system and to translate the game Can any Japanese person tell me if the translation is good? There were 2 challenges: - translating once - keeping the game translated Now it's a blessing: I still work on the game like the usual, and if I add new text, it will automatically create the keys and translate in all languages just with basic instructions in Agents.md + a pre-commit hook to ensure it's done. I hope to use the tool for a professional or community-based human review in the future! Hope it helps:)

Ok I've used Codex 5.4 Extra High for something that saved me so many hours and thousands of dollars and may interest you: -> how I automatically translate my game in 9 languages 1) I did the whole game in English, with no localization in mind 2) Then everybody told me that the reach is way higher by adding local languages 3) So I had a long chat with Codex to write a great spec to build a localization interface and super simple process for afterwards (I want to keep the simplicity) 4) Then translated the game in 9 languages! 5) Every localization is challenged a second time to improve 6) We are talking 580 keys per language - it took 1h35 to find all the hardcoded text and add keys - then it took 1h15 min to do all v1 translations 7) BONUS: it translates automatically all audio with ElevenLabs (using their text to speech skill) Total: Roughly 3 hours to implement a translation system and to translate the game Can any Japanese person tell me if the translation is good? There were 2 challenges: - translating once - keeping the game translated Now it's a blessing: I still work on the game like the usual, and if I add new text, it will automatically create the keys and translate in all languages just with basic instructions in Agents.md + a pre-commit hook to ensure it's done. I hope to use the tool for a professional or community-based human review in the future! Hope it helps:)

Nicolas Zullo

13,418 просмотров • 5 месяцев назад

Introducing Sarvam Samvaad 🚀 Sarvam Samvaad, our Conversational AI Platform, is designed to help enterprises build, test, and launch AI agents fluent in 11 Indian languages. ▪️Power interactions across telephone, WhatsApp, web, and apps ▪️Handle complex phrases, alphanumerics, and proper nouns with precision ▪️Listen in on every conversation and discover deep insight ▪️Scale your support with pricing built for India Trusted by leading brands across the country, the platform delivers production-ready agents so enterprises can move from pilot to full-scale deployment in just days. It’s time to level up customer experience with Sarvam Samvaad. Watch it in action ↓

Introducing Sarvam Samvaad 🚀 Sarvam Samvaad, our Conversational AI Platform, is designed to help enterprises build, test, and launch AI agents fluent in 11 Indian languages. ▪️Power interactions across telephone, WhatsApp, web, and apps ▪️Handle complex phrases, alphanumerics, and proper nouns with precision ▪️Listen in on every conversation and discover deep insight ▪️Scale your support with pricing built for India Trusted by leading brands across the country, the platform delivers production-ready agents so enterprises can move from pilot to full-scale deployment in just days. It’s time to level up customer experience with Sarvam Samvaad. Watch it in action ↓

Sarvam

222,546 просмотров • 1 год назад

Kogta Financial, one of India's fastest growing retail-focused NBFCs, serves 100,000+ borrowers across 300+ branches pan India. Debt collection in India is incredibly diverse. Borrowers switch between languages, dialects, and local ways of speaking. Even a single mispronounced number can change the outcome of a call. That's exactly the challenge they set out to solve. Kogta Financial (I) Ltd built their collections agents entirely on Smallest AI's voice stack, giving them native support for rural accents, mixed-language speech, and numbers spoken in regional languages. The impact: - 15M+ calls placed, with high value EMIs settled during the call itself. - 130+ concurrent calls at a 0.2% failure rate.

Kogta Financial, one of India's fastest growing retail-focused NBFCs, serves 100,000+ borrowers across 300+ branches pan India. Debt collection in India is incredibly diverse. Borrowers switch between languages, dialects, and local ways of speaking. Even a single mispronounced number can change the outcome of a call. That's exactly the challenge they set out to solve. Kogta Financial (I) Ltd built their collections agents entirely on Smallest AI's voice stack, giving them native support for rural accents, mixed-language speech, and numbers spoken in regional languages. The impact: - 15M+ calls placed, with high value EMIs settled during the call itself. - 130+ concurrent calls at a 0.2% failure rate.

smallest.ai

319,177 просмотров • 1 месяц назад

Introducing Lightning V3 - it beats every model we tested against. ElevenLabs, Cartesia, OpenAI. Lightning sets a new SOTA with V3 in conversational text-to-speech. → Highest MOS score for conversational TTS at 3.9 → ~76% win rate vs gpt-4o-mini-tts on naturalness → 15 languages with mid-sentence code-switching → Built from scratch for voice agents, not read-aloud Every TTS model sounds clean in a demo. You type a sentence and you get beautiful audio. Voice agents don't work that way. They stream. They're generating audio in real-time chunks with half the context missing. That's where everything breaks. A great reading voice and a great conversational voice are fundamentally different things. A conversational voice has to sound like it's thinking - with the pauses, the rhythm shifts, the reactions. It has to handle the way real people actually talk, including switching languages mid-sentence. That's what V3 does. V3.1 also ships voice cloning. 5 to 15 seconds of audio, no fine-tuning, production-grade clone across 15 languages. Blog link in the comments.

Introducing Lightning V3 - it beats every model we tested against. ElevenLabs, Cartesia, OpenAI. Lightning sets a new SOTA with V3 in conversational text-to-speech. → Highest MOS score for conversational TTS at 3.9 → ~76% win rate vs gpt-4o-mini-tts on naturalness → 15 languages with mid-sentence code-switching → Built from scratch for voice agents, not read-aloud Every TTS model sounds clean in a demo. You type a sentence and you get beautiful audio. Voice agents don't work that way. They stream. They're generating audio in real-time chunks with half the context missing. That's where everything breaks. A great reading voice and a great conversational voice are fundamentally different things. A conversational voice has to sound like it's thinking - with the pauses, the rhythm shifts, the reactions. It has to handle the way real people actually talk, including switching languages mid-sentence. That's what V3 does. V3.1 also ships voice cloning. 5 to 15 seconds of audio, no fine-tuning, production-grade clone across 15 languages. Blog link in the comments.

Sudarshan Kamath

71,298 просмотров • 5 месяцев назад

👮🌎 The Calgary Police Service is launching a Real-Time Translation feature on body-worn cameras, enabling officers & community members to communicate in more than 50 languages at the push of a button during everyday interactions. No phones. No apps. Just clear, two-way communication when it matters most. 💬 By breaking down language barriers, this feature helps us better serve Calgary’s diverse communities & support safer, more connected conversations across our city during calls for service. We are committed to prioritizing transparency & protecting privacy as we adopt new technology. ℹ️ For more information on how the Calgary Police Service adheres to privacy regulations, please visit 🌐 Learn more about the Real-Time Translation feature at

👮🌎 The Calgary Police Service is launching a Real-Time Translation feature on body-worn cameras, enabling officers & community members to communicate in more than 50 languages at the push of a button during everyday interactions. No phones. No apps. Just clear, two-way communication when it matters most. 💬 By breaking down language barriers, this feature helps us better serve Calgary’s diverse communities & support safer, more connected conversations across our city during calls for service. We are committed to prioritizing transparency & protecting privacy as we adopt new technology. ℹ️ For more information on how the Calgary Police Service adheres to privacy regulations, please visit 🌐 Learn more about the Real-Time Translation feature at

Calgary Police

79,224 просмотров • 3 месяцев назад

Today we’re launching Decawork (YC S26) backed by Y Combinator : one place for IT to deploy, govern, and maintain the internal AI agents running across a company. Every team is building AI tools/agents now. They go live with real access, no standard way to ship, nobody watching. With Decawork, every agent - built in Claude Code, Codex, or anywhere else - ships with its own identity and scoped credentials. IT signs off before it's live, sensitive actions wait for approval, and every run is watched from first to last. I built AI at NVIDIA, deployed at OpenAI and Meta. Aman (aman) built Barclays' AI compliance platform used by internal teams, then shipped agents to 100K+ monthly users. We lived this and quit to solve it. Internal AI agents/tools piling up at your company? Chat with us founders[at]decawork[dot]ai or

Today we’re launching Decawork (YC S26) backed by Y Combinator : one place for IT to deploy, govern, and maintain the internal AI agents running across a company. Every team is building AI tools/agents now. They go live with real access, no standard way to ship, nobody watching. With Decawork, every agent - built in Claude Code, Codex, or anywhere else - ships with its own identity and scoped credentials. IT signs off before it's live, sensitive actions wait for approval, and every run is watched from first to last. I built AI at NVIDIA, deployed at OpenAI and Meta. Aman (aman) built Barclays' AI compliance platform used by internal teams, then shipped agents to 100K+ monthly users. We lived this and quit to solve it. Internal AI agents/tools piling up at your company? Chat with us founders[at]decawork[dot]ai or

sarthak 🌉

97,599 просмотров • 1 месяц назад

1 chat thread + 1 connector = research to live ads on Meta. The four tools in between just retired. Introducing Notch MCP. Your ads engine, built into your favorite LLM. Add it to ChatGPT, Claude, or Manus - → Launch ads from the same chat where the research happened. → Notch reads the full context. Nothing lost in translation. → Builds video + statics with AI creators. Edit by chatting. → Publishes to Meta without leaving the thread. Research to live ad. One window. Zero handoffs. Your LLM does the research. Notch makes it perform. Comment "MCP" for the connector link + 60-second setup.

1 chat thread + 1 connector = research to live ads on Meta. The four tools in between just retired. Introducing Notch MCP. Your ads engine, built into your favorite LLM. Add it to ChatGPT, Claude, or Manus - → Launch ads from the same chat where the research happened. → Notch reads the full context. Nothing lost in translation. → Builds video + statics with AI creators. Edit by chatting. → Publishes to Meta without leaving the thread. Research to live ad. One window. Zero handoffs. Your LLM does the research. Notch makes it perform. Comment "MCP" for the connector link + 60-second setup.

Vinay Jain

466,405 просмотров • 1 месяц назад