Our third edition of The Data Foundation newsletter is out! ?? Dive in for our latest company updates, trends in AI capital expenditure spend, and developments in the open-source world. Be sure to subscribe today! We hope you enjoy the read ?? ?? #AI #LLMs #Analytics #DataPrivacy?
Granica
软件开发
Mountain View,California 1,865 位关注者
We're an AI research and systems company helping enterprises leverage AI efficiently and safely.
关于我们
Granica is an AI research and systems company helping enterprises leverage AI efficiently and safely. Our mission is to make AI 10,000x better. We believe data is the first-mile problem to solve in this mission. Our first system is a novel training data platform for enterprise AI that unlocks efficiency and privacy through our flagship services tailored for Generative and Traditional AI: Granica Crunch is a family of advanced data compression/reduction models which enable AI/ML teams to add and use more data to improve their ML accuracy and performance while controlling their infrastructure costs. Crunch delivers deep cost efficiencies for data at any scale, at rest and in use. Granica Screen is an advanced data privacy-enhancing service that unlocks even more data for AI/ML teams to safely improve model performance. It guarantees state-of-the-art privacy at scale, enabling Private LLMs and Privacy-preserving AI. Granica Chronicle is a deep data visibility service for disparate AI data stores. Enabling unification, collaboration and insights into data usage for AI and ML. Our research is deeply rooted in information science, machine intelligence, computer vision, natural language, and distributed systems, with a special emphasis on elevating the efficiency and safety of AI systems through fundamental and innovative research. We're backed by remarkable institutional investors in AI, Data, and Cloud; and several industry luminaries in business and technology.
- 网站
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https://www.granica.ai
Granica的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- Mountain View,California
- 类型
- 私人持股
- 创立
- 2019
- 领域
- Artificial Intelligence、Machine Learning、Cloud、Privacy和Data
地点
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主要
274 Castro Street
US,California,Mountain View,94041
Granica员工
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Jason Nadeau
Storyteller. Builder. Doer.
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Yongsheng Wu
Hiring senior software engineers, engineering leaders
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Dave Burgess
Technical Advisor | Angel Investor | VP Data Engineering, ex-Pinterest, Twilio, Yahoo!.
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Tarang Vaish
CTO & Co-Founder at Granica | The World's First AI Efficiency Platform | We're hiring!
动态
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Granica转发了
Big news: Granica wins “AI Solution of the Year” from the AI Awards council!! ?? This recognition marks a milestone, but it’s only the start of what’s next for AI and for us. The future of AI isn’t just about smarter models—it’s about the quality and readiness of the data behind them. While algorithms get the spotlight, the real breakthroughs will come from ensuring the data they rely on is clean, optimized, and ready for action. Data readiness is what separates high-performing AI systems from those that fall short. At Granica, we’re pioneering self-enhancing data systems. Our goal is to create systems that not only learn from data but improve the data itself. We’ve seen firsthand how enhanced data elevates AI performance, safety, and efficiency. This award validates our direction, but we’re just getting started. A huge thank you to our team, customers, investors, and partners for supporting this vision. We’re celebrating today, but tomorrow, we focus on our generational mission: making AI safe, effective, and efficient—starting with data ??
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?? We are thrilled to announce that Granica has been honored with wins in both `AI Solution of the Year` and `Best Use of AI in Manufacturing` categories at the 2024 A.I. Awards! ?? This recognition reflects our commitment to developing solutions that advance the state of the art in AI to help our customers gain a competitive edge. It also demonstrates the versatility of our platform, showcasing its ability to drive innovation and efficiency across industries. We’re proud to be among the leaders in AI innovation, and want to congratulate our fellow winners including Parrot AI, AI21 Labs, Thoughtful AI, Kumo.AI, Gong, Financial Finesse, SandboxAQ, EY, Trustwise , LEAP Legal Software APAC, Cisco, RAFA AI , Talkdesk, ADNOC Group, WalkMe?, AnswerRocket, Baffle, Inc., Securiti, Trax Retail, SOCi, Inc., Vcinity, Topaz Labs, Phenom, and Moveworks! Thank you to The Cloud Awards for acknowledging our commitment to ethical AI development, and thank you to our employees, customers, investors, and partners for their ongoing support and feedback! To read the blog from our CEO and co-founder Rahul Ponnala as well as see the full list of award winners, follow the link in the comments. #AI #LLMs #DataPrivacy #DataManagement #FinOps
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?? It’s Career Fair Season! ???? We’re thrilled to announce that Granica will be joining the virtual Harvey Mudd College & Caltech STEM Career Fair this Thursday, October 17th!? As proud Mudd and Caltech alumni, several of our engineers and researchers can’t wait to connect with the next generation of innovators! ?? ?? ?? Who Are We? Granica is on the cutting edge of AI safety, optimization, and research - pushing the boundaries of what’s possible in data safety and AI-driven innovation. ?? Who Are We Looking For?? If you’re graduating in Winter ‘24, Spring ‘25, or Summer ‘25, and ready to dive into full-time software engineering or research roles, we want to meet YOU! ???? ? What You’ll Bring Real-world experience in data, systems engineering, and ML, with hands-on skills in Python, Golang, C, or C++, and deep familiarity with cloud platforms like AWS or GCP! ?? Ready to Shape the Future? Come chat with our team, participate in live interviews, and discover how Granica is making AI safer, smarter, and more ethical for tomorrow’s world. Let’s connect and discuss how YOU can shape the next era of AI! ?? #hiring #careerfair #AISafety #AIInnovation #data
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Is your organization truly prepared to tackle the data demands of AI? Data readiness is the cornerstone of AI success, yet many enterprises struggle to bridge the gap between their data strategy and AI aspirations. Ensuring data is not just accessible but also safe, reliable, and free from harmful content has never been more critical. The truth is, data readiness can feel daunting - even haunting. But don't let it give you nightmares! In our latest October newsletter, we'll show you how Granica is helping customers make data readiness less scary, and cover a range of relevant industry news. Be sure to give it a read and face your AI data challenges head-on this Halloween season. Enjoy! ?? ??
Haunted By Data Readiness
Granica,发布于领英
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Granica转发了
At Granica, we give interns the same ownership as our full-time engineers - a major responsibility. Our intern Onkar Deshpande took that responsibility and ran with it. He worked on some of our most challenging projects, from GPU compression to Databricks integration, and proved he could handle it all. He’s smart and resilient, and he didn’t just solve problems this summer - he faced them directly, even when things got tough. But for Onkar, a summer internship wasn’t just about getting the work done. He brought true energy to the team. He fit in, made Granica stronger, and was the kind of person people enjoyed working with. Onkar made a real impact at Granica. So I’m excited to announce that we’re bringing him back, not as an intern, but as a full-time Granica engineer. He’s going to help us build even bigger things. Onkar Deshpande. Remember the name. You’ll hear it again. Here are Aman and Onkar pushing up ?? — P.S. We’re hiring!
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Data is the raw material of the AI era. And, like all raw materials, it can get expensive. Fortunately, there are ways to optimize efficiency and reduce cloud costs. Learn a few key strategies ?? https://bit.ly/4cyuz8S #data #AI
Using Data Cost Optimization to Reduce Data Costs
granica.ai
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Granica转发了
We’re kicking off "Granica Pulse", a deep-dive tech talk series featuring distinguished speakers from the industry and academia, designed for engineers and researchers. Each session will tackle the most critical topics in AI, ML, and distributed systems, focusing on the intricate challenges and practical solutions for building large-scale ML and AI systems. In our inaugural talk, join Zhe Zhang for a no-BS deep-dive tech talk on Ray and the future of distributed machine learning at exabyte-scale. In person. In our HQ. Zhe is a Distinguished Engineer at Nvidia, previously led Ray OSS initiatives at Anyscale, and is an incredible technical speaker you won’t want to miss. Sign up and join us in-person in our HQ in Mountain View on 10/18 at 1130a: https://lu.ma/i2usslee Expect great food, drinks, people, and a great technical session!
Ray: Powering ML at scale. Dive in with Zhe Zhang (Distinguished Engineer, Nvidia + Ray expert) and Rahul Ponnala (Granica CEO) · Luma
lu.ma
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There are dozens of valid KPIs for measuring cloud cost optimization. But only a handful will give you a clear picture of your success. Let's take a look at them. https://bit.ly/4cb84Gt #cloud #FinOps
Cloud Cost KPIs to Measure for FinOps
granica.ai
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We're incredibly excited to say that Granica has been named a Finalist ?? for the 2024 A.I. Awards in three categories, including AI Solution of the Year ?? Thank you to our team for your hard work building our industry-leading AI data readiness platform! To check out the blog, see the link in the comments. #AI #LLMs #DataPrivacy #DataManagement #FinOps #AIReadyData