Antimatter
VerifiedUSD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 184 % |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Date | Investors | Amount | Round |
---|---|---|---|
* | $12.0m | Series A | |
Total Funding | 000k |
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Recent News about Antimatter
EditAntimatter.io is a tech startup that offers a sensitive data platform. The company's primary focus is on the automatic classification of sensitive data in both structured and unstructured sets. This service is particularly useful for businesses that handle large amounts of sensitive data, such as enterprise SaaS companies. Antimatter.io's platform allows these businesses to define policies for internal chatbots, LLMs, RAG, and data science, ensuring that sensitive data is handled appropriately at all stages of the data pipeline.
The platform also offers features such as redaction, tokenization, and anonymization of data on a per-user basis. This means that businesses can create multiple sanitized views of the same data without duplication, which is a significant advantage in terms of data management and privacy.
Antimatter.io operates in the data security market, serving clients who need to manage and protect their sensitive data. The company's business model revolves around providing a platform that enables businesses to build AI without sacrificing data privacy. It also allows businesses to track customer consent for different data use cases, classify and transform sensitive data for AI/ML training and testing, and enforce permissions across data sources.
The company makes money by charging businesses for using its platform. The platform's capabilities, such as easy per-customer encryption for modern SaaS stacks and centrally defined and updated fine-grained access policies across all data stores, make it an attractive solution for businesses that handle sensitive data.
Keywords: Sensitive Data, Data Classification, Data Security, Data Privacy, AI/ML Training, Data Management, Data Pipeline, Data Anonymization, Data Encryption, SaaS.