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Antimatter.io provides a sensitive data platform that helps businesses automatically classify data as sensitive across both structured and unstructured sets. It targets enterprise SaaS companies and other organizations that handle large amounts of sensitive data. The platform works by allowing policy definitions for internal chatbots, LLMs, RAG, and data science workflows, and applying redaction, tokenization, and anonymization on a per-user basis. This enables multiple sanitized views of the same data without duplication, and supports per-customer encryption to fit modern SaaS stacks. It also centralizes fine-grained access policies across data stores and tracks customer consent for different data use cases, helping to classify and transform data for AI/ML training and testing while enforcing permissions across sources. Antimatter.io’s goal is to let businesses build and use AI without compromising data privacy and security, ensuring compliant and safer data pipelines.
Industries
Data & Analytics
Enterprise Software
Cybersecurity
AI & Machine Learning
Company Size
11-50
Company Stage
Series A
Total Funding
$12M
Headquarters
San Francisco, California
Founded
2022
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Total Funding
$12M
Below
Industry Average
Funded Over
1 Rounds
Industry standards
Databricks launches Lakewatch: A new security product for advanced threat detection. Fresh off a $5 billion funding round that concluded last month, and with substantial existing revenue, Databricks is actively expanding through acquisitions. The company, primarily recognized for its cloud data analytics platform, introduced a new security offering named Lakewatch on Tuesday. This product leverages Databricks' capacity to manage vast data stores to perform traditional Security Information and Event Management (SIEM) functions, such as threat detection and investigation. A key differentiator is its utilization of AI agents powered by Anthropic's Claude. EMBED_PLACEHOLDER_0 To build this new product, Databricks acquired two startups: Antimatter, in a previously undisclosed deal finalized last year, and SiftD. The financial terms for both acquisitions were not made public. According to PitchBook data, Antimatter, founded by security researcher Andrew Krioukov, secured a $12 million funding round led by New Enterprise Associates in 2022. In contrast, the much smaller SiftD.ai does not appear to have raised any notable venture capital. SiftD.ai was a very new venture, having launched its core product only in November; it was an interactive notebook, similar to a Jupyter notebook, designed for collaborative work between humans and AI agents. The Databricks team was familiar with SiftD.ai's co-founder and CEO, Steve Zhang, from his long tenure as chief scientist at Splunk, which lasted through 2021. During his time at Splunk, Zhang created the Search Processing Language. His LinkedIn profile also notes a subsequent role as CTO of Astronomer, a company associated with the Coldplay CEO scandal, before he departed in 2023 to found SiftD. EMBED_PLACEHOLDER_1 Both acquisitions involved small startups. Based on LinkedIn data, SiftD had only a handful of employees, while Antimatter had fewer than 50. The SiftD acquisition appears to be primarily an acquihire. With Antimatter, Databricks likely also gained valuable intellectual property. Krioukov had showcased Antimatter's technology on stage in 2024 at the RSA Conference's Innovation Sandbox Contest. The startup was developing a "data control plane" tool designed to help enterprises deploy AI agents securely while safeguarding sensitive information. Although Databricks chose not to specify the exact number of employees acquired, it confirmed that staff from both startups have joined the company. Krioukov, who has been with Databricks for several months, is now leading the Lakewatch team. When asked if the company plans to continue acquiring startups, a spokesperson indicated an ongoing search for new opportunities, stating, "We're always looking to what's next - our goal is to stay ahead of the market and close gaps in what our customers need."
On March 31, 2022, Antimatter secured a $12 million Series A funding round, led by the investment firm New Enterprise Associates, with participation from General Catalyst and UNION Labs.
Antimatter, an Oakland, CA-based provider of data security for SaaS applications, raised $12M in Series A funding
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Industries
Data & Analytics
Enterprise Software
Cybersecurity
AI & Machine Learning
Company Size
11-50
Company Stage
Series A
Total Funding
$12M
Headquarters
San Francisco, California
Founded
2022
Find jobs on Simplify and start your career today