
Velotix
The only AI based data security platform that automatically grants the right access, to the right data, for the right people, at the right time.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
N/A | €0.0 Valuation: €0.0 | round | |
* | N/A | Early VC | |
Total Funding | 000k |
USD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 130 % |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Velotix.ai is a startup that operates in the data security sector. Their primary offering is an automated data security system that uses artificial intelligence (AI) to manage and control access to both structured and unstructured data. This system is designed to enforce policy compliance, build a policy database, and provide self-service data access.
Velotix.ai's system is designed to serve businesses that handle large amounts of sensitive data. This includes corporations in sectors like finance, healthcare, and technology, where data security and access control are paramount.
The business model of Velotix.ai is based on providing a subscription-based service to these businesses. They make money by charging their clients a recurring fee for access to their AI-powered data security system.
One of the key features of Velotix.ai's system is its ability to learn and adapt over time. It uses AI to understand how and when to apply access policies, becoming smarter with each use. This allows businesses to grant or deny data access in minutes, rather than weeks, and to build complex policies that control who has access to data, when, where, how, and why.
Velotix.ai also provides a front-end dashboard that allows businesses to orchestrate and control all data access requests, streamline and automate approvals, and provide fast and seamless access to desired data. This reduces the number of transactions, time, and compute power needed to find and access data, making the entire process more efficient.
By 2025, Velotix.ai predicts that 30% of Gartner clients will protect their data using a "need to share" approach, rather than the traditional "need to know" approach. This shift in data security strategy could potentially open up a large new market for Velotix.ai's services.
Keywords: Data Security, Artificial Intelligence, Policy Compliance, Structured Data, Unstructured Data, Self-Service Data Access, Subscription-Based Service, Access Control, Data Access Requests, Need to Share.