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Today, we're announcing a $60M Series B led by Battery Ventures, bringing our total funding to $85M in just under a year. Also joining the round are founders and operators who’ve built generational companies of the last two decades – tobi lutke (CEO, Shopify), arash ferdowsi (Dropbox), Claire Hughes...

1,111,152 次观看 • 1 个月前 •via X (Twitter)

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I'm proud to share that Glean has surpassed $300M ARR, just five months after crossing $200M and growing ~3x over the past 15 months. This is an exciting milestone for Glean, and it's a signal about where the enterprise AI market is heading. We’ve long believed the real challenge in enterprise AI is not access to models. It is grounding AI in how a company actually works: its people, knowledge, workflows, permissions, and systems. That’s even clearer now. The companies creating real value with AI are not just adopting better models. They are building systems that understand their business well enough to deliver reliable outcomes at scale. That is the real moat, and it is what we’ve been building at Glean: an unrivaled context layer for enterprise AI. That context has to work across the business, not just inside a single team or use case. We see that in how customers adopt Glean: more than 85% use it across five or more job functions. It also has to meet the security and governance demands of complex enterprises. We see that in who is choosing Glean: our Fortune 500 customer count nearly doubled year over year. And it has to make economic sense as usage grows. In our recent benchmark with Claude Cowork, Glean was preferred roughly 2.5x as often as off-the-shelf MCP tools and used 30% fewer tokens on average. Better context improves both quality and efficiency. I enjoyed talking with CNBC's Deirdre Bosa about this broader shift. In enterprise AI, the winners will not be defined by better models alone. They will be defined by who builds the strongest foundation for enterprise context. Thank you to our customers, partners, and team for helping us build the future of enterprise AI.

Arvind Jain

280,572 次观看 • 2 个月前

FinChat is now Fiscal .ai — Announcing our $10M Series A and Rebrand Today we begin writing the next chapter of our Company. We have officially rebranded to Fiscal .ai to build the future of financial data and AI. With this, we are excited to announce our $10M USD Series A funding led by Portage Ventures and continued support from Social Leverage. When we launched FinChat in 2023, our mission was to empower everyone to query financial data at scale. As we’ve grown, so have our ambitions — beyond the Chat interface. Fiscal .ai represents a bold new vision: to power modern financial data infrastructure through our Terminal and APIs, transforming how the world accesses and uses information in capital markets. With already over 350,000 registered users and top fintech platforms worldwide leveraging Fiscal .ai’s APIs to serve millions of end users, we are completely rebuilding how investors get the information they require and interact with it day to day. We may have a new name, but our mission remains the same. Our Team is committed to building beautiful, powerful products — fast. Fiscal .ai represents the modern intersection of finance + AI and where we will be doubling down. We believe AI will fundamentally change how information is collected and presented in every role across finance. We’re deeply grateful to everyone who has supported us along the way — our customers, partners, employees, investors, advisors, and families. Braden Dennis Cofounder & CEO, Fiscal .ai (formerly FinChat) Direct media inquiries to [email protected]

Braden Dennis 📊

41,678 次观看 • 1 年前

Ola recently announced that they are bringing affordable AI to Indian developers. 𝐉𝐚𝐫𝐯𝐢𝐬𝐥𝐚𝐛𝐬 an Indian company has been providing affordable GPUs for developers across the globe since 2020. We are a little known, so I want to share our story here. 𝐖𝐡𝐨 𝐰𝐞 𝐚𝐫𝐞 We are bootstrapped, building from the outskirts of Coimbatore. Started as a small team of 4, from humble backgrounds none from IITs/IIMs. Currently, we are a team of 12+. 𝐖𝐡𝐚𝐭 𝐰𝐞 𝐚𝐜𝐡𝐢𝐞𝐯𝐞𝐝 The cost of hosting GPU servers 4 years back in India was insanely high. We got 2 quotes which charged us Rs. 1.5L for a single server per month. At that cost, it was not practical for us to do the business. So we went to the first principle to build an MVP for a mini data center/server room. For the first few years, we ran all our servers from a room fitted with ACs, a UPS, and a Generator, which experts claimed would not work. As we scaled, we faced the heat of our setup, but by then we accumulated more money than we had. So last year we moved it to a tier 3+ DC near Bangalore. This helped us boost the confidence of our users, as we have redundancy for power, internet, and networking which gives us and our customers a lot of peaceful nights. 𝐖𝐡𝐨 𝐮𝐬𝐞𝐬 𝐉𝐚𝐫𝐯𝐢𝐬𝐥𝐚𝐛𝐬 Developers and artists from across the world have supported us in our journey. Some prominent companies are ZOHO (My inspiration), Weights and Biases, UNC, UpGrad, and many more. 𝐑𝐞𝐯𝐞𝐧𝐮𝐞 We crossed 580K USD in the last financial year, the highest ever in our history. Being bootstrapped, the only way for us to grow is to put all the money back. Our customers are our investors, as a founder I have hardly taken a paycheck for the last 4+ years, since the team also believes in our vision they are happy not taking a fancy cheque. 𝐕𝐢𝐬𝐢𝐨𝐧 As AI evolves, we want to bring the capabilities of AI to users at the lowest prices possible. Being bootstrapped, the only way to survive is to be frugal and disciplined. 𝐇𝐢𝐫𝐢𝐧𝐠 I am proud of our hiring strategy. We hired only freshers to date, and most of our hires do not have a formal degree. They come from rural areas and economically challenged backgrounds. The average age of our new team is 19. They have played an active role in building our V2 of Jarvislabs and improving the product daily. I love to thank everyone for supporting us in our journey. Thanks to Analytics India Magazine, INDIAai, fastai for recognizing us in our early years. If our story resonates with you, Please share our story to inspire others & support our mission. #StartupIndia

Vishnu - Jarvislabs.ai

67,646 次观看 • 2 年前

We are building WELL3 to be the biggest Wellness platform in the world With now over 870K users, WELL3 is positioning itself to become one of the leaders in wellness But that’s not all. Our steadily growing community has shown that they are also among the top crypto traders 🧵👇 Besides the interest of bettering our well-being, our community also consists of top traders in the cryptocurrency field, NFT field, and DeFi field. Let’s look at some stats: The total transaction volume of our community is over $1,020,000,000 (one billion and twenty million dollars) That shows active participation in the markets and the influence they bring to the cryptocurrency space Our community also stands at the forefront of the NFT market, holding some of the most significant collections From enthusiastic participation in NFT dApps, our users are pioneers in digital asset ownership and exploration In the next stat, you can again see the active involvement our community has in cryptocurrencies Their holdings from just the Public Sale participants, which is just a fraction of our total community, exceeded $25 million in some of the top tokens in the last 30 days The top CEXs they've been using in the past 30 days for that are platforms like Binance, OKX, and ByBit, which are leading the pack --- These metrics we presented to you today all show that our community is among the most impactful people in Web3, be it in terms of transaction volume or just the number of people that are a part of WELL3 And the last stat of today: In just a short span since our last update, we've welcomed over 43,000 new users to the WELL3 platform We are grateful to welcome some of the absolute greatest from WEB3 to WELL3. Together, we're shaping the future of wellness

WELL3

47,646 次观看 • 2 年前

Today marks General Availability of AgentCore, a set of infrastructure building blocks for developers and companies to build secure, scalable agents. When we first started AWS, the vast majority of developers were spending most of their time on the undifferentiated heavy lifting of infrastructure instead of what differentiated their feature. So, we solved that problem by building primitive building blocks like compute and storage and database that would allow teammates and customers to quickly build and deploy new experiences without having to reinvent the wheel each time. We realized the same thing was happening with AI agents. It's too difficult and it's slowing customers down. That's why we created AgentCore, a set of services to build, deploy, and operate highly capable agents using any framework or model, with enterprise-grade security and scalability. These building blocks (like serverless secure runtime, memory, observability, a gateway that does MCP translation, etc) help customers tackle some of the biggest challenges of going from prototype to production, much more quickly, securely, and scalably. AgentCore has been in preview for several weeks, and customers have been quite excited about it. The AgentCore SDK has already been downloaded over a million times and we're seeing transformative results, such as Cohere Health expecting to reduce medical review times by 30-40% in highly regulated healthcare, and teams at Cox Automotive and Experian are embracing its flexibility to deploy and operate agents at scale. Inside Amazon, our Amazon Devices Operations & Supply Chain team is using AgentCore to develop an agentic manufacturing approach where AI agents work together to automate manual processes – turning what used to be days of engineering time into processes that take under an hour with high precision. Just like AWS changed how companies build and scale applications, we believe AgentCore will do the same for AI agents, enabling the next generation of innovation.

Andy Jassy

24,990 次观看 • 10 个月前

In 2017, we founded Aurora to transform the way people and goods move on our roadways. We envisioned a future where transportation was safer, more efficient, and more resilient. Last month, after eight years of focused development, Aurora launched the world’s first commercial self-driving truck service on public roads. I’ve had the privilege of launching several products in my career; none compared to this one for their significance to the future of humanity. As I watched our trucks from our Texas command center as they rolled out on their various missions, this didn’t feel like just another product launch. It felt like the start of a new era. A critical turning point in addressing the devastating human and economic toll of road accidents, bolstering the resilience of our supply chains, and eliminating unnecessary friction in how we connect and move. This product is the culmination of thousands of person-years of unwavering commitment to a mission. It is a testament to an extraordinary team’s strategic vision, technological ingenuity, developmental execution, and commercial acumen. Their tireless work has positioned Aurora at the forefront of an industry, poised to deliver at immense scale in partnership with a powerful ecosystem of industry partners. To the Aurora team, thank you for your unwavering commitment to the cause. And to our partners, our suppliers, our customers, and our investors, thank you for your continued partnership as we build the future of self-driving freight together.

Sterling Anderson

34,076 次观看 • 1 年前