
Adapdix
Delivering ML to automate business decisions across edge-to-cloud deployments to change the way enterprises innovate and deploy ML/AI applications.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor | €0.0 | round |
investor | €0.0 | round | |
N/A | €0.0 | round | |
investor investor investor | €0.0 | round | |
investor | €0.0 | round | |
$6.0m | Late VC | ||
Total Funding | 000k |
USD | 2019 | 2020 | 2021 | 2023 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | 306 % | 146 % | - |
EBITDA | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Adapdix provides a software platform focused on optimizing Artificial Intelligence (AI) and Machine Learning (ML) at the edge for enterprise clients. The company was co-founded in 2014 by Anthony Hill and Joachim Stratmann, who serve as CEO and COO, respectively. Hill, who holds an MBA from Harvard Business School, previously led teams at HPE and Nokia.
The company's core product is the Adapdix EdgeOps™ platform, a software-only solution that combines AI and ML analytics with a distributed, edge-based control platform. This platform is designed to increase equipment uptime, reduce supply chain and logistics costs, and enhance remote worker productivity. The technology enables predictive maintenance and control with ultra-low latency by processing data closer to its source, which increases model accuracy and reduces network costs and congestion. EdgeOps functions by integrating AI and machine learning with data from various sources like sensors, machine vision, and log files.
Adapdix initially targets manufacturing customers in the semiconductor, electronics, and automotive industries, with plans to expand into other sectors. The company's business model is B2B, providing its software platform to large enterprises to help them automate and optimize operational and business decisions in real-time. A key product within the platform is EdgeOps DataMesh™, which handles mass data virtualization, analysis, and AI inference at the edge in milliseconds. In 2021, Adapdix acquired Edge Intelligence, a distributed data management platform, to enhance its capabilities in offering IT/OT data convergence and full data virtualization. This acquisition allows Adapdix's customers to query and analyze IT and OT data through a single logical database, saving on data transport, compute, and storage costs.
The company has secured a total of $10 million in funding. A significant Series A funding round in December 2020 raised $8 million, led by WRVI Capital with participation from Micron Ventures and X2 Equity. This was followed by an additional investment from SoftBank's Opportunity Fund in February 2021. These funds are being used to scale the business and develop the next generation of its edge AI platform.
Keywords: edge AI, asset monitoring software, predictive maintenance, industrial automation, machine learning, EdgeOps, data mesh, manufacturing tech, industrial IoT, real-time analytics, AI platform, enterprise software, operational intelligence, supply chain optimization, remote worker productivity, semiconductor manufacturing, automotive tech, electronics manufacturing, data virtualization, IT/OT convergence