The Ravit Show

BREAKING: GPT‑5 is now live inside Glean. And this one’s worth paying attention to. I’ve been hands-on with enterprise AI tools for a long time. Rarely do I see a model release that immediately clicks with real-world use cases. https://lnkd.in/dHei9K75 GPT‑5 in Glean feels different. This isn’t just about faster responses or better summaries.  It’s about using context to scale enterprise decision making. Here’s what caught my eye: - Stronger reasoning — it knows when to act and when to pause and ask for clarification - Personalized responses — verbosity controls let users choose if they want it short, detailed, or somewhere in between - Parallel tool use  — GPT‑5 leverages parallel strategies to get to the answer faster, preferring broad over narrow tool use and avoiding long planning steps - Better structure — output is cleaner, easier to read, and more aligned to enterprise standards. What makes this even more impressive is how Glean tested it — not on generic benchmarks, but on real enterprise workloads. This shows us where agentic AI is heading: You don’t just need a powerful model. You need the right context, the right tools, and the right architecture. Glean is helping customers build the most capable agentic experiences at work by bringing GPT‑5,  Claude Sonnet 4, Gemini 2.5 Flash, Llama 4, o3, and other top models in one place. That’s how you build real choice into AI adoption. If you care about where enterprise AI is going, this is one to watch. Glean + GPT‑5 is now live. #data #ai #agents #glean #gpt5 #openai #theravitshow

Endex.ai Secures $14M from OpenAI to Bring AI Agents into Excel Funding & Backing Endex.ai, founded in 2022 by Tarun Amasa and Kevin Yang, has raised $14 million in a funding round led by the OpenAI Startup Fund. The investment signals strong confidence in embedding AI directly into widely used business tools like Microsoft Excel. AI Agent Inside Excel The company has developed the first Excel-native AI agent designed for finance professionals. It helps with financial modeling, data cleanup, and analysis without requiring additional software or new interfaces. The AI understands financial language, offers smart suggestions, and references reliable sources such as CapIQ, VisibleAlpha, FactSet, SEC filings, and earnings reports. Target Market & Competitive Edge Unlike general-purpose AI tools, Endex focuses specifically on finance workflows. Its Excel-native design means no data migration or steep learning curve, making adoption easier. Competitors like Sinequa, Squirro, and Adarga also offer AI-driven insights, but Endex’s seamless Excel integration sets it apart. Early Access & Expansion Plans After a year of testing with financial institutions, Endex is now opening access via limited early invites to manage demand. The funding will be used to enhance the product and expand availability on both Mac and Windows platforms. Impact on Financial Workflows By automating complex modeling and analysis, Endex significantly reduces the time needed for tasks that once took hours. Its approach modernizes finance workflows while keeping the familiar Excel environment intact—blending tradition with cutting-edge AI capabilities.

Krutrim and Cloudera Join Forces to Drive Enterprise AI in India Krutrim, India’s sovereign cloud platform spearheaded by CEO Bhavish Aggarwal, has partnered with Cloudera, led by CEO Charles Sansbury, to enhance AI-driven analytics and data lake operations across its ecosystem. The partnership is already powering large-scale workloads for Ola—Krutrim’s flagship client—and will soon expand to other enterprises on the Krutrim Cloud. This collaboration enables Krutrim to scale rapidly while addressing India's unique enterprise needs through a unified infrastructure that spans compute, storage, data management, and AI-enabled services tailored to local languages and use cases. Navendu A., Senior VP & Head of Business at Krutrim, stated that Cloudera’s involvement brings the performance and scalability needed to confidently build enterprise-grade, cost-effective solutions using India’s own sovereign cloud. Mayank Baid, Cloudera’s Regional VP for India & South Asia, highlighted that the collaboration aligns with Cloudera’s mission to offer trusted AI from the data up. He noted that with Ola already leveraging the architecture—including enhanced data governance, quality, and intuitive natural language interfaces—the solution framework is well-positioned for broader adoption across diverse Indian enterprises. This strategic move strengthens Cloudera’s presence in India and advances Krutrim’s goal of offering secure, scalable, AI-ready cloud infrastructure to businesses, startups, and researchers across the country.

OpenAI Unveils New Open-Weight AI Models: gpt-oss-120b and gpt-oss-20b OpenAI has announced the launch of two new open-weight AI models — gpt-oss-120b and gpt-oss-20b — aimed at empowering developers and researchers with greater flexibility, affordability, and control. The gpt-oss-120b, with 117 billion parameters, is designed to match the performance of OpenAI’s proprietary o4-mini model and can run on a single 80GB GPU. Meanwhile, gpt-oss-20b, with 21 billion parameters, is tailored for resource-constrained devices, requiring only 16GB of memory — making it feasible to run on high-end laptops or even mobile hardware. Both models are released under the Apache 2.0 license, enabling full access for modification, fine-tuning, and commercial use. This move is expected to spur wider adoption and experimentation across industries. OpenAI CEO Sam Altman shared the news on X, stating: “We made an open model that performs at the level of o4-mini and runs on a high-end laptop (WTF!!) (and a smaller one that runs on a phone). Super proud of the team.” He further emphasized the vision behind the release: “We believe people should be able to directly control and modify their own AI when they need to… we expect a meaningful uptick in innovation.” Key Highlights: Open-Weight Release: Model weights are fully accessible for developers and researchers. Performance: gpt-oss-120b supports advanced tasks like reasoning, function calling, and tool use. Efficiency: Built with a Transformer architecture and memory-efficient techniques. Use Cases: Suitable for chatbots, coding tools, STEM applications, and secure on-premise deployments. Safety Evaluated: Models underwent adversarial fine-tuning and safety testing aligned with OpenAI’s Preparedness Framework. OpenAI collaborated with early partners including AI Sweden and Orange to test secure and privacy-sensitive deployment scenarios. This release marks another step toward individual AI ownership and broader access to high-performing LLMs outside of closed APIs.

Clay Raises $100M Series C to Redefine GTM Engineering for the AI Era AI go-to-market (GTM) automation platform Clay has raised $100 million in Series C funding, increasing its valuation to $3.1 billion. This comes just six months after the company expanded its Series B. The round was led by CapitalG, Alphabet International’s independent growth fund, with contributions from Sequoia Capital, Meritech Capital, First Round Capital, BoxGroup, boldstart ventures, and new investor Sapphire Ventures. This latest round brings Clay’s total funding to $204 million. Founded by Kareem Amin (CEO) and Varun Anand (Co-founder), Clay’s platform helps businesses automate large-scale sales and marketing workflows. It combines data from over 150 sources with AI-powered agents to perform tasks like prospect research, outreach personalization, and opportunity discovery. More than 10,000 companies currently use it, including OpenAI, Canva, Intercom, Rippling, and Anthropic. One of Clay’s major contributions to the industry is the creation of the GTM Engineer role. This new job category focuses on designing and managing automated revenue systems. Since the role was introduced two years ago, more than 280 GTM Engineering positions have been listed across tech firms like Cursor, Webflow, Notion, and Lovable. Independent agencies built by GTM engineers have also started generating million-dollar revenues, supported by seven dedicated bootcamps that have already trained over 2,500 professionals. The GTM Engineer profession is becoming a high-demand, high-salary alternative to traditional sales ops, with a median salary of $160,000. This is about 20% more than similar roles. The field does not require a computer science degree, making it an accessible path amid concerns about AI job displacement. Clay’s platform is also enabling innovative AI use cases. For example, it can monitor satellite images to estimate parking lot density for B2B targeting. It can also track competitor brand mentions to trigger outreach campaigns, all within fully automated pipelines. The company expects to generate $50 million in revenue for its data and integration partners by 2025. Its broader ecosystem of 108 partner agencies is driving hundreds of millions in collective revenue. Present in 60 community clubs across 30 countries, Clay is also gaining traction in emerging markets like India and Pakistan. The newly raised capital will help scale the platform, speed up product development, and support the global rollout of GTM Engineering as a scalable, mainstream career path. This funding milestone emphasizes the increasing demand for AI-driven solutions that not only automate work but also create entirely new types of jobs. This shift is changing how businesses view sales, marketing, and technical operations in the AI era.

AI Startup SixSense Raises $8.5M Series A to Revolutionize Chip Defect Detection SixSense, a Singapore-based AI startup focused on automating semiconductor defect detection, has raised $8.5 million in Series A funding, bringing its total capital raised to $12 million. The round was led by Peak XV’s Surge, with participation from Alpha Intelligence Capital and FEBE Ventures. Founded in 2018 by CEO Akanksha Jagwani and CTO Avni Agrawal, SixSense has developed an AI-ADC (AI-assisted defect classification) platform aimed at streamlining chip production by automating visual inspections and reducing human error. The platform helps semiconductor manufacturers detect visual defects, conduct root cause analysis, and predict failures—allowing for real-time decision-making without code. According to the company, its no-code AI system enables engineers to deploy models using their own fab data in less than two days, significantly improving operational efficiency. “Engineers still bear the burden of pattern recognition and anomaly detection using traditional data systems. That’s time-consuming and doesn’t scale with the increasing complexity of chip manufacturing,” said Agrawal in an interview with TechCrunch. “Our platform turns that into real-time insights, improving both quality and productivity.” Already adopted by major manufacturers like GlobalFoundries and ICET, SixSense claims the platform has: - Reduced production cycles by up to 30% - Lowered manual inspection efforts by 90% - Increased yield by 1–2% To date, the platform has processed over 100 million chips and is compatible with inspection systems covering 60% of the global semiconductor market. SixSense is actively working with fabs across Singapore, Malaysia, Taiwan, and Israel, and is now setting sights on expansion into the U.S. market. The fresh funding will be used to scale the platform globally, enhance AI capabilities, and support product development aimed at large-scale chipmakers, including foundries, OSATs, and IDMs. This milestone comes as AI-driven manufacturing continues to gain momentum, with SixSense positioning itself at the forefront of smart, scalable semiconductor production.

Pantomath Secures $30M Series B to Scale AI-Powered DataOps Platform; General Catalyst Leads the Round Pantomath, a fast-growing automated data operations platform, has raised $30 million in Series B funding to accelerate its mission of transforming enterprise data reliability using agentic AI. The funding round was led by General Catalyst, with continued support from SIERRA Ventures, Bowery Capital, and EPIC Ventures, and new participation from Hitachi Ventures, Cintrifuse Capital, and Foster Ventures. This round follows the company’s $14 million Series A in late 2023 and aims to expand Pantomath’s product innovation, go-to-market strategy, and strategic hiring, focusing on delivering AI DRE (Data Reliability Engineer) agents that can detect and resolve data incidents autonomously. Founded in 2022 by Shashank Saxena (CEO) and Somesh Saxena (President), both former data leaders at General Electric - Pantomath addresses a critical gap in data operations. According to internal research, 74% of organizations rely on end-users to surface data issues, and 90% report resolution timelines ranging from hours to weeks. Pantomath’s platform seeks to eliminate this lag by combining real-time monitoring, cross-platform lineage, and AI-driven root cause analysis into a unified DataOps operating system. “Our auto-discovered data health graphs position us to move beyond detection into full incident self-resolution using AI DRE agents,” said Shashank Saxena. “Manual, reactive troubleshooting has long plagued enterprise data teams. Pantomath is changing that,” added Somesh Saxena. Since its launch in 2023, Pantomath has been adopted by Fortune 500 enterprises across multiple industries. Andrew Connolly, Director of Site Reliability Engineering at WEX, stated: “Pantomath slashed the time our teams spent tracking broken pipelines. With automated root-cause analysis, we now resolve issues in minutes instead of hours or days.” The round also brings Quentin Clark, Managing Director at General Catalyst, to Pantomath’s Board of Directors. Clark has played a key role in scaling companies such as Glean, Windsurf (acquired by Cognition), and Neon (acquired by Databricks). “Pantomath represents a major shift in enterprise software — from tools that surface problems to systems that autonomously solve them,” said Clark. “This aligns with our vision of transforming systems-of-record into systems-of-work.”

Rajive Dhar Joins K2view as EVP of Strategy to Drive Global Expansion and Strategic Growth K2view, a leading provider of data product platforms, has appointed Rajive Dhar as its new Executive Vice President of Strategy. In his new role, Dhar will be responsible for leading the company’s strategic planning, investment initiatives, partnerships, and operational execution. Dhar brings extensive experience in corporate development, strategic execution, and operations across industries including cloud software, broadband, and telecommunications. His background includes leadership roles in both public companies and startups. Key career highlights include: - Over 750 M&A and investment evaluations - Public company deals ranging from $170 million to $1.1 billion - Nearly $3 billion raised in financing - Oversight of global operations with full P&L responsibility in the U.S., Poland, Israel, and China Dhar’s appointment aligns with K2view’s continued focus on expanding its global footprint and scaling enterprise solutions through strategic investments and partnerships. Outside of his professional accomplishments, Dhar is also a trained radio broadcaster, a recreational Bridge player, and an outdoor enthusiast who enjoys hiking the trails of Carmel and Monterey with his family. His addition to the leadership team signals K2view’s commitment to strengthening its strategic direction and operational excellence in the evolving data technology landscape.

Fundamental Research Labs Raises $33M to Build AI Agents for Real-World Tasks Applied AI company Fundamental Research Labs (formerly Altera) has secured $33 million in Series A funding, led by Prosus Group, with participation from Patrick Collison, co-founder and CEO of Stripe. Founded by Dr. Robert Yang , former MIT faculty, the company is focused on building AI agents across verticals—from games to productivity and finance. Congrats to Robert Yang, Shuying Luo, Nico Christie, Andrew Ahn, Patrick Collison and Fundamental Research Labs :) Key Highlights: - Fairies: A general-purpose consumer assistant that chats with users, connects apps, retrieves data, and schedules tasks. - Shortcut: A spreadsheet-based agent used by analysts to build and evaluate financial models autonomously. Unlike traditional startups, Fundamental Research Labs operates via multiple specialized teams: Games, Prosumer Apps, Core Research, and Platform—all aligned to explore diverse applications of AI. Dr. Yang emphasizes that the company is already generating revenue and plans to eventually move toward robotics and physical embodiment. With over $40 million raised to date, including its $9M seed round (co-led by First Spark Ventures and Patron with participation from a16z Speedrun and Eric Schmidt), the startup is steadily expanding its product portfolio while remaining highly experimental. “Their products aren’t just prototypes. Fairies and Shortcut are already augmenting human capabilities in real ways,” said Sandeep Bakshi of Prosus. This funding milestone signals growing investor confidence in multi-agent AI systems that can perform both digital and physical tasks—transforming how we interact with software and the real world.

OpenAI Raises $8.3B at $300B Valuation Amid Surging Investor Demand OpenAI, the creator of ChatGPT, has raised $8.3 billion in funding at a staggering $300 billion valuation, according to The New York Times. This investment is part of OpenAI’s broader plan to raise $40 billion in 2025. The round was led by Dragoneer Investment Group, which contributed $2.8 billion, alongside a strong lineup of new investors including Blackstone, TPG, T. Rowe Price, and others like Andreessen Horowitz, Sequoia Capital, Thrive Capital, and Fidelity Investments. The fundraising effort was oversubscribed and completed ahead of schedule, signaling unprecedented investor confidence in OpenAI’s growth trajectory. Key highlights from the report: - $12–13B in annualized revenue, with projections to reach $20B by year-end - 700M+ weekly active ChatGPT users - Strategic conversations underway with Microsoft - Tailwinds from the Trump administration’s AI Action Plan Despite the funding success, some early backers reportedly received smaller allocations, as OpenAI prioritized onboarding new strategic investors to support its long-term commercial and global ambitions. This round further solidifies OpenAI’s position as one of the most valuable and closely watched players in the global AI race.