Centauri AI

OpenAI and DeepSeek are proving that AI’s progress isn’t linear, and the future may be closer than we think. I’ve received many questions from customers about DeepSeek’s impact. The market is now asking: if training a model costs less than 3,000 GPU hours (~$6 million), is massive AI infrastructure still necessary? The real question, however, is: does DeepSeek’s breakthrough in LLM training create a net positive for the industry? My answer: absolutely. Here’s why: 1. OpenAI showed the world that intelligence could emerge from massive GPU power and vast training data. Their achievements redefined our expectations and laid the groundwork for breakthroughs. 2. Smaller, Cheaper, Faster Models: DeepSeek has proven that smaller, cost-efficient models are possible today. Their team demonstrated this just two years after OpenAI’s pivotal moment. For the industry, these developments mean: 1. Cost Efficiency: DeepSeek achieved 5% of the training cost and 4% of the inference cost compared to OpenAI. This indicates the market could anticipate significant savings on energy, model training, and inference soon. 2. Scalability: Lower costs and smaller model sizes make LLMs more accessible, unlocking countless new applications and enabling AI agents to thrive across industries. The AGI era shouldn’t be solely around hardware, data centers, and chat interfaces—it’s about real-world applications, AI agents, and virtual or physical robots serving people and businesses. OpenAI and DeepSeek show that AI's progress isn’t linear, the future may be closer than we imagine. DeepSeek-V3 Technical Report: https://lnkd.in/gCb2AxFA #AI #DeepSeek #OpenAI #LLM #GenerativeAI #AIAgents #StructuredFinance #PrivateCredit

Our engineering team is hiring a React/Python Dev JD Here: https://lnkd.in/gmZeDs_H More info about the company I co-founded: https://lnkd.in/gNpb6guX P.S. If you can beat my CTO James Wu in TypeRacer during your interview, I'll expense your keyboard.

Excited to present at the Singapore Week of Innovation and Technology (SWITCH) Conference—one of the world’s leading financial hubs! It’s been amazing meeting new people and reconnecting with friends. This is my first time in Singapore, and I’m grateful to Enterprise Singapore for sponsoring the trip. Private credit and venture debt are expanding rapidly here. One entrepreneur I met runs a B2B business—light on assets but strong in revenue and profits. However, traditional banks have been reluctant to lend due to a lack of physical collateral. Instead, they’ve partnered with private credit funds to fuel faster growth, reflecting a growing trend that many asset managers are now exploring. Great asset managers connect the right capital with the right businesses, and closing information gaps quickly and efficiently is essential. We’re proud to provide next-generation tools that boost efficiency and drive the evolution of this industry. #AI #PrivateCredit #VentureDebt #AssetManagement #FinancialTechnology #DocumentProcessing #Innovation #Singapore #SWITCHConference #EnterpriseSingapore

Struggling with the time drain of processing credit agreements manually? You’re not alone—many financial institutions face this bottleneck. At Centauri AI, we’ve partnered with industry leaders to tackle this challenge head-on. Our proprietary AI-powered data platform cuts manual processing by 97%, freeing teams to focus on higher-value tasks. And credit agreements are just one example of how our platform transforms operations. How are you handling these challenges? Read more here and let us know! https://lnkd.in/ge83vFuT

Great talk with John Stecher, CTO at Blackstone on what qualities he's looking for in early stage companies and how he sees AI impacting Blackstone's various businesses across real estate, credit, energy, and private equity. Join us as we chat about data security, practical advice for young teams, and how to focus on out-of-the-box experiences. 🎧You can listen to it here, or wherever you get your podcasts 👉 https://lnkd.in/ejfV22u7

Centauri AI (YC W24) is a modern ETL and Data Science platform for institutional investors, starting with Structured Finance. Financial firms today heavily rely on Excel, PDF, and PPT files to exchange complex asset details, leading analysts to spend hours crunching the files and extracting insights. Moreover, these data files and reports can't be easily reused due to poor data infrastructure. Powered by AI, Centauri AI cuts hours of data wrangling work down to minutes and makes it possible to query past data easily. This helps firms evaluate assets faster and win more deals. He Lu, co-founder and CEO of Centauri AI, repeatedly faced this pain point when he worked at banks and asset management companies. He noticed it was a widespread problem in capital markets and structured finance. When he met Milan Shen and James Wu, who have deep Data, AI, and engineering expertise from Bay Area tech companies, it became immediately clear that there was an opportunity to bring the modern data stack to this traditional sector. Since launching last month, they've started a pilot with a trading team at a major investment bank that now uses the product daily. They envision a future in the finance industry where the data work is 80% done through AI-native solutions.