
Tilores
Matches and deduplicates messy, inconsistent data at scale and in real-time to get the data 'golden record' at scale.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor investor investor | €0.0 | round |
* | €1.2m | Seed | |
Total Funding | 000k |
USD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 167 % |
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
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Tilotech.io is a high-performance, real-time, no-code software platform that helps businesses clean up and unify their customer data. It operates in the data management market, serving data-driven organizations that need to manage large volumes of customer data. The platform is particularly useful for large enterprises that face challenges with messy, inconsistent, duplicated, and unlinked data, which can lead to compliance risks, difficulty in preventing fraud, and wasted marketing efforts.
Tilotech's business model revolves around providing a solution to these challenges through its identity resolution software. This software identifies and links all different data records associated with an individual customer, effectively creating a 'golden customer record'. This process helps businesses uncover the value trapped in their messy and duplicated customer data, and it requires no manual effort.
The platform is designed to work with machine learning-based algorithms, making it a valuable tool for businesses that rely on data-driven fraud prevention strategies. By providing better data on which to run these algorithms, Tilotech improves the overall fraud detection rate and reduces false positives.
Tilotech makes money by selling its software to businesses. The software can be easily integrated into a business's existing systems via an API, ensuring that the system is always up-to-date. This makes it suitable for a range of users, from analysts and data scientists to marketing teams.
Keywords: Data Management, No-Code Software, Identity Resolution, Customer Data Unification, Fraud Prevention, Machine Learning, Real-Time Data Processing, Data-Driven Organizations, API Integration, Golden Customer Record.