Altizon Systems
Offers a platform that provides a device cloud, and performs large-scale data ingestion and aggregation using big data technologies on time series data.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor | €0.0 | round |
| N/A | €0.0 | round | |
| investor investor investor investor | €0.0 | round | |
| N/A | €0.0 | round | |
| investor investor investor | €0.0 | round | |
$7.0m | Series A | ||
| Total Funding | 000k | ||
| USD | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | 14 % | - | (9 %) | - | - |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates, Company filings or news article
Related Content
Altizon accelerates the digital transformation of enterprises by leveraging Industrial AI to convert industrial data into actionable insights. The company offers a platform that enhances productivity, optimizes processes, and improves operational efficiency. Altizon serves clients across various sectors, including Automotive, Food & Beverage, Consumer Packaged Goods, and Energy. The business model revolves around providing a comprehensive suite of applications and solutions that utilize advanced analytics, deep learning, and conversational AI. By focusing on measurable outcomes, Altizon helps its clients achieve cost savings, better planning, and continuous improvement. The company operates in a global market with headquarters in Princeton, NJ, USA, and Pune, India. Altizon generates revenue through its platform subscriptions and value-added services, catering to enterprises seeking to enhance their manufacturing processes and operational KPIs.
Keywords: Industrial AI, manufacturing, productivity, process optimization, analytics, automotive, energy, CPG, operational efficiency, data insights.