
Chalk Raises $50M Series A to Power AI Inference
SAN FRANCISCO--(BUSINESS WIRE)--Chalk, the data platform for AI inference, announced today that it has raised a $50 million Series A at a $500 million valuation. The round was led by Felicis with participation from Triatomic Capital and existing investors General Catalyst, Unusual Ventures, and Xfund. Aydin Senkut, Founder and Managing Partner at Felicis, will join Chalk's board. The capital will be used to accelerate development of Chalk's platform, onboard new customers, and grow its engineering and go-to-market hubs in San Francisco and New York.
'Chalk helps us deliver financial products that are more responsive, more personalized, and more secure for millions of users. It's a direct line from infrastructure to impact,' said Meng Xin Loh, Senior Technical Product Manager, MoneyLion.
Share
As AI adoption accelerates, compute is shifting from training to inference to improve predictions, transform customer experiences, and reduce costs. Existing solutions like Databricks and Snowflake solve training data pipelines, and feature stores provide low-latency access to pre-computed data. But these incumbents don't provide a solution for applications that require fresh data, with complex computation, at inference time.
Chalk fills a critical gap in the market – inference data pipelines. Chalk's real-time data platform enables customers to make predictions with fresh data at inference time to prevent identity theft, issue instant loans, increase clean energy efficiency, and moderate harmful content.
Senkut shared, 'Chalk is poised to become the Databricks of the AI era. It's one of the fastest-growing data companies we've ever seen. The team has fundamentally redefined how data moves through the AI stack, a crucial advancement for chain-of-reasoning models. What's even more remarkable is Chalk's ability to deliver 5-millisecond data pipelines at massive scale - something that, until now, was considered out of reach. We couldn't be more excited to partner with Marc, Elliot, and Andy, who are all repeat technical founders passionate about building infrastructure that delivers an incredible developer experience.'
Marc Freed-Finnegan, Chalk Co-Founder and CEO, added, 'We feel incredibly fortunate to have Aydin and Felicis as our partners for the next phase of our growth. We have a shared vision of the future, and we're honored to be part of the cohort of companies they have invested in.'
Chalk powers real-time ML across industries including fintech, identity, healthcare, and e-commerce. Companies like Whatnot, Found, Medely, and Iwoca use Chalk as a core infrastructure layer across their business.
'Chalk helps us deliver financial products that are more responsive, more personalized, and more secure for millions of users. It's a direct line from infrastructure to impact,' said Meng Xin Loh, Senior Technical Product Manager, MoneyLion.
Chalk has become critical infrastructure for its customers by enabling teams to rapidly operationalize machine learning and AI. At its core, Chalk's Compute Engine empowers teams to write features in pure Python, automatically translating them into high-performance C++ and Rust pipelines to deliver real-time data without complex ETL. Additionally, Chalk's LLM Toolchain unifies structured and unstructured data, offering native vector storage, automated evaluations, and seamless integrations with major LLM providers.
Rahul Madduluri, CTO at Doppel, said, "Chalk powers our LLM pipeline, turning complex inputs — HTML, URLs, screenshots — into structured, auditable features. It lets us serve lightweight heuristics up front and rich LLM reasoning deeper in the stack, so we detect threats others miss without compromising speed or precision.'
Chalk was co-founded by Freed-Finnegan, Elliot Marx, and Andrew Moreland — veterans of fintech and data infrastructure. After meeting at Stanford, Marx and Moreland solved large-scale data problems at Affirm and Palantir before co-founding Haven Money, acquired by Credit Karma. Before Chalk, Freed-Finnegan helped launch Google Wallet and started Index, acquired by Stripe (it's now called Stripe Terminal). Across these ventures, the team saw how real-time data pipelines enabled entirely new product categories and business models. Fast forward to today — real-time decisions at inference are essential for all modern applications, and Chalk makes that possible.
About Chalk
Chalk is the data platform for inference, providing critical infrastructure that empowers teams to rapidly operationalize machine learning and AI. The developer-friendly platform consists of a Compute Engine that automatically compiles features into high-performance Rust pipelines without complex ETL, and an LLM Toolchain that seamlessly unifies structured and unstructured data. Chalk powers real-time, low-latency machine learning for the world's leading companies, enabling instant loans, fraud prevention, personalized recommendations, and even clean energy optimization. Founded in 2022 and headquartered in San Francisco, Chalk has raised over $60M from Felicis, General Catalyst, Triatomic Capital, Unusual Ventures, and Xfund.
To learn more about Chalk, visit www.chalk.ai.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
17 hours ago
- Yahoo
Hackers leak 86 million AT&T customer records with 44 million social security numbers, report says
If you are one of the more than 100 million people who use AT&T, you might want to take stock of your data. Hackers said they accessed and leaked millions of AT&T customers' private information after the ShinyHunters group allegedly stole the data in April 2024, according to a new report from Hack Read. The report claimed some 86 million AT&T customer records have been leaked, including full names, dates of birth, phone numbers, email addresses, physical addresses, and social security numbers. In total, Hack Read reported that 44 million social security numbers were included in the leaked data. The social security numbers and birth dates were encrypted in the original hack by the ShinyHunters group, a leak that was made possible by security flaws in the Snowflake cloud data platform, as Mashable previously reported. Now, Hack Read has reported that this sensitive data is now decrypted. We asked AT&T about the reported leak of their customer data. An AT&T spokesperson told Mashable in a statement that "it is not uncommon for cybercriminals to re-package previously disclosed data for financial gain." "We are aware of claims that AT&T data is being made available for sale on dark web forums, and we are conducting a full investigation," the spokesperson added. So, if you're an AT&T customer, this means your valuable private data could be part of this new leak. However, if your data was exposed in this leak, it was likely — although not certainly — already exposed in the August 2024 National Public Data breach. Mashable previously reported on this breach, which exposed "three decades' worth of Social Security numbers on the online black market." You can find out if your data was exposed in that breach by using a tool from Pentester, a cybersecurity firm, to check. Visit enter your information, and see your list of breached accounts.


Business Insider
18 hours ago
- Business Insider
‘There's Still Time to Invest in Snowflake Stock,' Says Five-Star Analyst
Although Snowflake (SNOW) shares have already climbed over 35% this year, UBS believes that the software stock still has more room to grow. Following Snowflake's annual Summit in San Francisco, UBS upgraded the stock from Neutral to Buy and raised its price target from $210 to $265. Despite being late to the upgrade, analysts led by five-star rated Karl Keirstead said that Snowflake's performance has only started improving in the last few quarters, and that the broader AI-related investment cycle is just beginning. Confident Investing Starts Here: Indeed, UBS noted that Snowflake is one of the companies benefiting from the need for 'AI-ready' data, along with Palantir (PLTR) and Databricks. The analysts also pointed out that more software companies like Salesforce (CRM), ServiceNow (NOW), and SAP (SAP) are moving into the data space, which they see as evidence of the growing demand for data. As a result, UBS believes that Snowflake investors haven't fully priced in this growth potential yet and that there's still time to invest before the full AI boom happens. Separately, Morgan Stanley kept its Equal-weight rating and $200 price target despite Snowflake's strengths in data security, ease of use, and multi-cloud capabilities. While the analysts led by five-star rated Keith Weiss praised the company's role in secure AI integration, they remain cautious about the stock's high valuation, which sits at about 55 times the expected free cash flow for 2026. Nevertheless, it is worth mentioning that Snowflake's expansion into data engineering and AI has significantly increased its market opportunity and might justify its premium valuation. Is SNOW a Good Buy Right Now? Overall, analysts have a Strong Buy consensus rating on SNOW stock based on 34 Buys, six Holds, and zero Sells assigned in the past three months, as indicated by the graphic below. Furthermore, the average SNOW price target of $225.03 per share implies 6.4% upside potential.


TechCrunch
20 hours ago
- TechCrunch
A deep dive on AI safety and ethics with Databricks and ElevenLabs
As AI tools become cheaper and more accessible, the stakes for safety and ethics have never been higher. ElevenLabs' Head of AI Safety Artemis Seaford and Databricks co-founder Ion Stoica joined TechCrunch AI editor Kyle Wiggers for a critical discussion on the multitude of ethical challenges facing AI today. From deepfakes to responsible deployment, they explored practical steps that can be taken to keep bad actors at bay, and tackled some of the more nuanced debates within how to even define where ethical lines are drawn with AI.