Last week in San Francisco, we brought together a group of next-generation Indian founders who are shaping the future of enterprise, AI, and SaaS. In partnership with @FoundersFunda, we explored strategies for building enduring companies in fast-paced markets, particularly in enterprise, AI, and SaaS. The two panel discussions reflected a shared belief in staying founder-first, principle-driven, and customer-obsessed, even as technology and markets evolve. Panel 1: Architecting Scale: Building Startups That Last — moderated by ☁ @realRishiRaman (Quill | YC S20) and featured @sohamz (@wisdomai_inc) and @kashgupta_ (@HightouchData) where they explored how to design companies that scale gracefully across technology, organization, and culture. Panel 2: Reimagining Legacy Systems with AI - moderated by @Sarora27 (@MercoaFinance) — featured @arnavgmishra (@doss_hq), Devaki Raj (@Saab_Inc), and @rish_bhargava (@RefuelAI), focused on how AI is transforming the way we think about legacy systems and industry incumbents. Some key themes that resonated through the evening: >> Stay close to your customers. Revisit their needs every year, and let their priorities guide your product roadmap. >> Keep product marketing founder-led. In enterprise AI, the most effective storytelling often begins at the top. >> Protect founder-market fit. Scale without becoming a services company for your largest customers. >> Build moats around passion and empathy. Technology shifts, but understanding customers deeply and solving real problems never goes out of style. >> Ship fast, always. Velocity isn’t just a phase — it’s a culture. What made the evening special was the open exchange, founders sharing lessons, challenges, and first principles from their own journeys. The energy in the room reflected the growing strength of the Indian founder ecosystem across the Bay Area. A huge thank you to the @FoundersFunda organisers: @rammahesh, @shreesha, and @anuraagn and Nupur Mehta (Co-Founder, @otainfo1) for curating such a thoughtful evening, and to everyone who joined us for an inspiring conversation. @kpowerinfinity | @PoorviVijay | Dhruv Jain

Congratulations to our portfolio companies, @togethercompute and @RefuelAI, on uniting their strengths to power the next generation of AI infrastructure! Together AI’s AI Acceleration Cloud enables developers and enterprises to train and deploy generative AI models with speed, control, and cost-efficiency. By bringing in Refuel’s purpose-built data models and orchestration platform, they’re tackling one of the biggest bottlenecks in AI: cleaning and structuring messy data at scale. We’re proud of @vipulved, @rish_bhargava, @nihit_desai, and both teams for building the foundation that enables applied AI to thrive.

🔥 Together AI (@togethercompute) just acquired @RefuelAI in a major AI infrastructure consolidation move. The biggest problem in AI isn’t models. It’s DATA QUALITY. This deal solves that bottleneck. Here’s why it matters:

We have some big news to share today - @RefuelAI is joining @togethercompute to help accelerate the future of open source and enterprise AI! together.ai/blog/together-ai…

🚀 Big news: Together AI has acquired @RefuelAI! Refuel specializes in models and tools that turn messy, unstructured data into clean, structured input—exactly what teams need to build high-quality, production-grade AI applications. Details below 👇

From blazing fast speech-to-speech to domain-specific agent evals, we learned a ton from the community! @RefuelAI @andonlabs @phonic_co @CleanlabAI @sethkimmel3 Who should we team up with for our next SF event? 💞🌉

Data intelligence too cheap to meter RefuelLLM-2-mini (75.02%), our latest 1.5B param SLM, outperforms all comparable models including Phi-3.5 (65.3%), Qwen2.5 (67.62%), Gemma2 (64.52%), Llama3-3B (55.8%) and Llama3-1B (39.92%) across our benchmark of data processing tasks such as labeling, enrichment and structure extraction RefuelLLM-2-mini is a Qwen2-1.5B base model, trained on a corpus of 2750 datasets spanning tasks such as classification, reading comprehension, structured attribute extraction and entity resolution, using the same recipe as other models in the Refuel-LLM family. It's fast! We’re open sourcing the model weights, available on @huggingface - huggingface.co/refuelai/Qwen… If you'd like to access models, along with fine tuning support, DM me or reach out to us: refuel.ai/get-started Grateful to our early customers for their partnership, and the entire @RefuelAI team for their hard work 🚀

we should chat @RefuelAI :)

中文 LLM 资料总结 @RongshengWang 这个开源项目汇集了中文 LLM 各个方面的资料，非常用心的整理和维护，推荐关注！ - 数据 Data 数据提取和增强的方面的项目，包括 @OpenDataLab_AI 的 LabelLLM、MinerU、PDF-Extract-Kit，@refuelai 的 autolabel 等。 - 微调 Fine-Tuning 模型微调的框架和方案等，包括 @llamafactory_ai LLaMA-Factory，@unslothai unsloth，@intern_lm xtuner 等。 - 推理 Inference LLM 推理平台和框架等，包括 @ollama、@llama_index、@langchain 等等，这部分内容非常丰富。 - 评估 Evaluation LLM 响应结果评估框架等，包括 @AiEleuther lm-evaluation-harness、@OpenCompassX OpenCompass 等。 - 体验 Usage LLM 各种应用的线上体验，包括 @lmsysorg LMSYS Chatbot Arena、HuggingFace Spaces 等。 - RAG 基于 LLM 的检索增强生成，包括 @dify_ai 、GraphRAG、@AnythingLLM、@quivr_brain、@weaviate_io Verba 等，大家平时关注的 RAG 项目基本都在列。 - Agents 聚集了很多优秀的 Agent 框架和项目，包括 @crewAIInc、@pyautogen、@OpenBMB XAgent、@CamelAIOrg CAMEL 等等。 - 搜索 Search AI 搜索类开源项目，包括 @supermemory opensearch-ai、@intern_lm MindSearch、nanoPerplexityAI 等。 - 书籍 Book 关于 LLM 和 Agent 等方向的书籍。 - 课程 Course 关于生成式 AI、LLM、Agent、RAG 等方向的课程，建议收藏学习。 - 教程 Tutorial 图文和视频类教程，很有主题性。 - 论文 Paper LLM 技术报告等论文，侧重中文 LLM 方向。 - Tips What We Learned from a Year of Building with LLMs 等著名经验总结类文章。 项目地址： github.com/WangRongsheng/awe…

Hell yes!!! Congrats, Nihit! We’re lucky to have you.

I came to the US in 2011 to attend @IllinoisCS. Just found out on the 13th anniversary of first coming here that my EB-1 petition was approved! Excited to continue building @RefuelAI here. The United States is a place where great things are possible - I grew up believing this, and still do after having spent a more than a decade here. Onwards! 🇺🇸🇺🇸

Have you tried @RefuelAI ? Best I’ve seen so far.

Gasify is going to crush the whole bridging sector as more exposure comes 🧨 $GSFY

@HanzoYasunaga this is something to take a look at?

$GSFY is the fastest and cheapest bridge I’ve found by far!

How long till @GasifyAI and @xyfinance ?

@CryptoKaduna @Overdose_AI @cryptocevo @CryptoWizardd @CRyptOracl3

@lifiprotocol you should add @GasifyAI