
Batch
Developing software that interacted with messaging systems.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
investor | €0.0 | round | |
N/A | €0.0 | round | |
* | $5.4m | Seed | |
Total Funding | 000k |
USD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 100 % |
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
Batch.sh is a cutting-edge startup that operates in the data privacy and real-time data monitoring sector. The company's primary offering is a code-native data privacy solution, Streamdal, that allows businesses to embed privacy controls directly into their application code. This innovative approach helps prevent personally identifiable information (PII) from reaching unintended databases, data streams, or pipelines, thereby enhancing data security and building trust with users.
Batch.sh serves a wide range of clients, including businesses that handle large volumes of data and require real-time data monitoring and privacy controls. The company operates in the rapidly growing data privacy market, which is driven by increasing regulatory scrutiny and the rising importance of data security in the digital age.
The business model of Batch.sh revolves around providing its clients with dynamic data observability and real-time data views. The company's platform offers a bird's-eye view of data producers and consumers, allowing businesses to monitor data and gain insights in real-time. This real-time monitoring capability helps businesses identify data anomalies or throughput irregularities quickly and efficiently.
Batch.sh also offers a unique feature called "tailing" for data traveling through producers and consumers. This feature provides businesses with instant access to their real-time data, enabling them to rapidly identify root-cause issues or audit data compliance fidelity.
The company generates revenue by offering its data privacy and monitoring solutions on a subscription basis, providing businesses with a scalable and cost-effective way to enhance their data security and monitoring capabilities.
Keywords: Data Privacy, Real-Time Data Monitoring, Data Security, Data Observability, Data Producers and Consumers, Data Anomalies Detection, Tailing Real-Time Data, Root-Cause Identification, Data Compliance Fidelity, Subscription-Based Revenue Model.