SoftwareTel Aviv, IsraelFounded 2017· One of 350 Software companies tracked by AMPulse
AI-driven software that automatically identifies parts suitable for 3D printing from a large CAD assembly, conducting deep technical and economic analysis to recommend cost-effective shifts from traditional to additive manufacturing.
CEO / Founder
Omer Blaier
Team Size
11-50
Stage
Defunct
Total Funding
$6.8M
Latest Round
Venture Round
Key Investors
Xerox, Asahi Kasei, Spring Ventures, TAU Ventures, Evonik Venture Capital
Technology & Products
Key Products
["CASTOR Enterprise","CASTOR Light (Free Trial)"]
Technological Advantage
Castor's software significantly reduces the time and manual effort for engineers to identify and qualify parts for 3D printing, accelerating the adoption of additive manufacturing and lowering the barrier to entry.
Differentiation
Value Proposition
To enable manufacturers to save time and money by automatically identifying cost-reduction opportunities and unlocking the benefits of industrial 3D printing without requiring deep in-house expertise.
How They Differentiate
Castor differentiated itself through a high degree of automation, the ability to analyze both 2D and 3D files, and its holistic approach combining technical printability, financial analysis, and supply chain considerations like CO2 emissions.
Market & Competition
Target Customers
Manufacturers in industrial, automotive, aerospace, and consumer goods sectors seeking to optimize supply chains and reduce production costs.
The company had established a global customer base and formed strategic partnerships with major industry players like Siemens and Xerox prior to liquidation.
Major Milestones
["Founded in 2017.","Secured seed funding from Evonik and others in 2019.","Received investment from Xerox and Spring Ventures in 2021.","Partnered with Siemens to integrate with Teamcenter PLM in 2023.","Filed for liquidation in July 2024."]
Castor Technologies developed an AI-driven software platform that automatically scans large CAD assemblies to identify parts suitable for additive manufacturing. The tool performs both technical printability checks and economic analysis, recommending which components to shift from traditional processes like CNC machining or injection molding to metal or polymer 3D printing. This automation aimed to reduce the manual engineering effort required to qualify parts for AM, lowering the barrier to entry for manufacturers without deep in-house expertise.
The software could analyze thousands of parts at once, including from 2D drawings, and provided a breakdown of printability, cost savings, and CO2 emission reductions. It also suggested geometry modifications to optimize parts for LPBF, MJF, or other AM processes. Castor offered two tiers: CASTOR Enterprise for full deployment and CASTOR Light as a free trial. The platform integrated with Siemens Teamcenter PLM and partnered with OEMs like Ultimaker and Nexa3D to streamline the workflow from part selection to production.
Target customers included industrial manufacturers, automotive tier-1s, aerospace primes, and consumer goods companies seeking to optimize supply chains and reduce production costs. Notable partnerships included Siemens, Xerox, Evonik, Asahi Kasei, and Oqton. The company raised $6.8 million from investors including Xerox, Asahi Kasei, Spring Ventures, TAU Ventures, and Evonik Venture Capital. Despite a global customer base and strategic alliances, Castor filed for liquidation in July 2024, leaving a gap in the automated part identification software market.
Castor competed with 3YOURMIND, Materialise (Link3D), and Identify3D, differentiating through its high degree of automation, support for both 2D and 3D files, and holistic technical-financial-sustainability analysis. The company's liquidation raises questions about the viability of standalone part identification software as a sustainable business model, especially as larger PLM and MES vendors embed similar capabilities. For manufacturers evaluating AM adoption, Castor's former platform represented a bridge between legacy design data and additive production, a need that remains unmet after its closure.
Competitive Intelligence
Competitors, SWOT analysis, and investment insights