Acerta
A software company that delivers machine learning technology to the manufacturing and automotive industries.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor investor investor | €0.0 | round |
| investor | €0.0 | round | |
| investor investor | €0.0 | round | |
| investor | €0.0 | round | |
| investor investor investor investor investor | €0.0 | round | |
| investor investor investor | €0.0 | round | |
| investor investor investor investor investor investor | €0.0 | round | |
* | CAD10.4m | Series B | |
| Total Funding | 000k | ||
| USD | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | 48 % | 9 % | 8 % | - |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Acerta is a technology company specializing in machine learning (ML) and artificial intelligence (AI) solutions tailored for the manufacturing industry. The company provides advanced analytics tools that help manufacturers make quick, data-driven decisions to optimize production processes, improve product quality, and significantly reduce waste. Acerta's core products include LinePulse, a software solution that offers real-time insights into production lines, and Acerta Professional Services, which provides customized AI-driven recommendations. The company primarily serves automotive manufacturers and other industrial clients who seek to enhance operational efficiency and product reliability. Acerta operates in the industrial analytics market, leveraging its expertise in ML and AI to offer actionable insights from complex data sets. The business model revolves around software licensing and professional services, generating revenue through subscription fees and consulting engagements.
Keywords: machine learning, artificial intelligence, manufacturing, production optimization, quality improvement, waste reduction, automotive, industrial analytics, real-time insights, data-driven decisions.