Cake provides AI Project Infrastructure, delivering a faster and more cost effective path for businesses to adopt cutting edge AI/ML technologies. Configure and manage your entire AI stack, including compute infrastructure, configurable open source platform elements, pre-built integrations, and recipes for common use cases. Security and monitoring are integrated throughout all layers enabling a smooth path to production.
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Cake reposted this
Excited to announce Cake's SOC 2 Type 2 with HIPAA/HITECH certification! Cake works with many customers in highly regulated and diverse industries. We're proud to announce this certification as the latest step in our ongoing commitment to providing production-ready open source AI. Read more here: https://lnkd.in/eBBtH44N
Cake reposted this
Are you going to HumanX next week? Drop by booth D7 to see the latest with Cake. We’ll be previewing new capabilities ahead of upcoming announcements. DM to schedule a demo.
In our latest case study, read how one materials science company cut a *full year* from their development timeline, saved $600k in headcount, and ensured strict security for their customers with Cake as their AI infrastructure platform. Read more: https://lnkd.in/eTEA3BQp
"Cake cut a year off our product development lifecycle. That’s the difference between life and death for small companies." Another inspiring customer quote — an AI-forward materials science startup that uses Cake to operate hundreds of models securely and with strict tenant isolation. Cake saved the team $600k and a full year of product development. Full case study: https://lnkd.in/eba87VQH
In the weeks since DeepSeek's launch, it has become clear that this technology represents more than an incremental improvement - it unlocks entirely new possibilities. In the latest post from Skyler, read how DeepSeek provides the missing piece in the architectural puzzle for truly real-time RAG applications. Full post: https://lnkd.in/e3tyuD-s
The DeepSeek moment is already turning from hype into practical applications. Skyler just wrote an awesome article about DeepSeek unlocking live voice AI - lower latency solves the missing piece in the real-time RAG stack. Link to the article below
Thank you to the NYCEDC for highlighting Cake in their latest report on the growth of NYC's AI ecosystem. We’re proud to be featured alongside other great AI startups in the New York City area. Read the full report here: https://edc.nyc/ai-nyc
Our new report on Artificial Intelligence in New York City provides a detailed series of findings, recommendations, and actions to secure the city’s position as the Applied AI capital of the world. Swipe for highlights, and read the full report at https://lnkd.in/gS9Bek9h.
New case study: Learn how Glean.ai improved model accuracy and lowered costs by bringing their LLM capabilities in-house using Cake. Read more here: https://lnkd.in/eHHdEY5p
Self-hosting fine-tuned LLMs is a common Cake use case. Our latest case study with Glean shows exactly why: 90%+ model accuracy (vs. 70% with external LLMs) 30% lower operating costs Full control over reliability and security By working with Cake, Glean brought generative AI in-house without increasing the size of the team - saving 2-3 FTEs. Beyond the numbers, the shift to in-house LLMs represents a true strategic moat for their business. Curious how Cake helps you own your AI infra? Full case study here:
New case study on the blog: Learn how one Insurtech company cut *months* from their launch timeline while saving “at least half-a-million dollars purely on headcount.” With Cake as their infrastructure platform, this white-labeled Insurtech product digitizes and automates all the steps of the insurance claims process. Their ML service transforms messy PDFs into high-quality structured data, transforming the manual processes of insurance into an efficient data-driven operation. Read more about their approach and the results here: https://lnkd.in/epvqaA32
“Cake is like DevOps on steroids.” One of my favorite quotes about working with Cake. New case study from one of our Insurtech customers - alongside some awesome results: - Saving “at least half a million dollars purely on headcount” - Cutting several months off their development timeline - Building a long-term partnership with a customer as “a real force multiplier on MLOps” Read more here: https://lnkd.in/eX-HjNRM
🎂Want to know how Cake works? 🎂 New on the blog, CTO Skyler Thomas provides an overview of the Cake platform architecture - including how we deploy, manage, and maintain modular open source AI technologies in secure customer-controlled environments. Read more here: https://lnkd.in/eRuEAf52
Just posted a blog article about the Architecture of the Cake platform. Thanks! https://lnkd.in/ebZGZ_cZ
Transforming unstructured data into structured data for analysis is one of the most common challenges addressed by machine learning. Ping, a data intelligence company, built their insurance underwriting platform with Cake, cleansing data from highly variable source formats into information that can calculate accurate premiums on property insurance quotes. By managing MLOps through Cake, Ping saved the equivalent of 3 FTE engineers — and doubled their small team’s operational efficiency. Learn how they did it: https://lnkd.in/eVryB3tv
"𝙒𝙝𝙖𝙩 𝙞𝙛 𝙘𝙪𝙩𝙩𝙞𝙣𝙜-𝙚𝙙𝙜𝙚 𝘼𝙄 𝙘𝙤𝙪𝙡𝙙 𝙝𝙖𝙫𝙚 𝙛𝙡𝙖𝙜𝙜𝙚𝙙 𝙩𝙝𝙚 𝙧𝙞𝙨𝙠𝙨 𝙨𝙤𝙤𝙣𝙚𝙧?" AI needs to be practical, impactful, and accessible for everyone. Framed by Skyler’s personal narrative, this post outlines the 6 principles of Cake’s platform that drive our goal - to bridge the gap between cutting-edge AI and those who stand to gain the most from it. We’re building the platform we wish we had 15 years ago: a secure, scalable, enterprise-ready architecture built from over 100 open-source components. Read more here - https://lnkd.in/exzJbgpG