AI-Build is slashing waste and maximising efficiency in manufacturing
Ai Build, founded by Michail Desyllas and Daghan Cam in 2015, is on a mission to revolutionise the global additive manufacturing sector through advanced automation. The company's core values emphasise sustainability, efficiency, and innovation. Ai Build provides AI-powered 3D printing software that enhances speed, quality, scalability, and versatility in additive manufacturing processes. Their primary users include top-tier companies in industries such as aerospace, automotive, construction, marine, and energy.
Location
Headquarters: London, UK.
Operations: Global operations with key clients in the USA, Europe, and Asia.
Strategic Reach: Focus on integrating with a network of hardware manufacturers worldwide.
The Circular Vision
Design Principles: Ai Build embodies circular economy principles by promoting efficient use of materials and reducing waste through advanced automation.
Resource Optimization: The software optimises toolpaths to minimise material usage and energy consumption, ensuring sustainable manufacturing practices.
Life Cycle Considerations: Ai Build addresses the entire product life cycle by enabling efficient production processes and reducing the need for extensive post-processing.
Leveraging for Good: Creators can leverage Ai Build to design and produce parts with minimal waste, contributing to a more sustainable manufacturing ecosystem.
Pioneering Solutions
Key Features: AI-powered toolpath generation, real-time feedback, predictive analytics, and comprehensive 3D printing management.
Unique Value Proposition: Ai Build's software significantly enhances production efficiency, quality, and scalability, setting it apart in the additive manufacturing industry.
The Regenerative Future
Ecosystem Support: Ai Build's solutions support regenerative design by enabling the production of lightweight, durable parts that reduce overall resource consumption.
Future Development: Continuous R&D efforts focus on enhancing AI algorithms to further improve sustainability and efficiency in manufacturing.
Creative Empowerment: Ai Build empowers designers and manufacturers to create innovative, sustainable solutions that contribute to ecological health and resource renewal.
Ethical Considerations
Data Usage: Ai Build ensures data privacy and security, managing the complexity of AI-driven insights while protecting user information.
Bias Mitigation: Measures are in place to prevent or address algorithmic bias, ensuring fair and accurate outcomes.
Transparency: Ai Build maintains a high level of transparency in AI decision-making processes.
Guardrails: The company implements guardrails to prevent misuse of the software and ensure responsible use.
Challenges: Potential challenges include data integration issues and the need for continuous updates to AI models to keep up with evolving sustainability standards.
Fact Sheet
Availability: Available globally through Ai Build's subscription model.
RIBA Stages: Useful in RIBA stages 2-5, particularly impactful in concept design, developed design, technical design, and construction.
Circular Potential: 5/5
Key Integrations: Compatible with various hardware manufacturers and 3D printing systems.
Cost Structure: Subscription-based pricing model.
Carbon Impact: Efforts to minimise carbon footprint through efficient manufacturing processes and reduced material waste.
Key Takeaway
Ai Build is at the forefront of integrating AI in additive manufacturing, offering tools that significantly enhance production efficiency, reduce waste, and promote circular economy principles.
Explore Further
Ai Build, founded by Michail Desyllas and Daghan Cam in 2015, is on a mission to revolutionise the global additive manufacturing sector through advanced automation. The company's core values emphasise sustainability, efficiency, and innovation. Ai Build provides AI-powered 3D printing software that enhances speed, quality, scalability, and versatility in additive manufacturing processes. Their primary users include top-tier companies in industries such as aerospace, automotive, construction, marine, and energy.
Location
Headquarters: London, UK.
Operations: Global operations with key clients in the USA, Europe, and Asia.
Strategic Reach: Focus on integrating with a network of hardware manufacturers worldwide.
The Circular Vision
Design Principles: Ai Build embodies circular economy principles by promoting efficient use of materials and reducing waste through advanced automation.
Resource Optimization: The software optimises toolpaths to minimise material usage and energy consumption, ensuring sustainable manufacturing practices.
Life Cycle Considerations: Ai Build addresses the entire product life cycle by enabling efficient production processes and reducing the need for extensive post-processing.
Leveraging for Good: Creators can leverage Ai Build to design and produce parts with minimal waste, contributing to a more sustainable manufacturing ecosystem.
Pioneering Solutions
Key Features: AI-powered toolpath generation, real-time feedback, predictive analytics, and comprehensive 3D printing management.
Unique Value Proposition: Ai Build's software significantly enhances production efficiency, quality, and scalability, setting it apart in the additive manufacturing industry.
The Regenerative Future
Ecosystem Support: Ai Build's solutions support regenerative design by enabling the production of lightweight, durable parts that reduce overall resource consumption.
Future Development: Continuous R&D efforts focus on enhancing AI algorithms to further improve sustainability and efficiency in manufacturing.
Creative Empowerment: Ai Build empowers designers and manufacturers to create innovative, sustainable solutions that contribute to ecological health and resource renewal.
Ethical Considerations
Data Usage: Ai Build ensures data privacy and security, managing the complexity of AI-driven insights while protecting user information.
Bias Mitigation: Measures are in place to prevent or address algorithmic bias, ensuring fair and accurate outcomes.
Transparency: Ai Build maintains a high level of transparency in AI decision-making processes.
Guardrails: The company implements guardrails to prevent misuse of the software and ensure responsible use.
Challenges: Potential challenges include data integration issues and the need for continuous updates to AI models to keep up with evolving sustainability standards.
Fact Sheet
Availability: Available globally through Ai Build's subscription model.
RIBA Stages: Useful in RIBA stages 2-5, particularly impactful in concept design, developed design, technical design, and construction.
Circular Potential: 5/5
Key Integrations: Compatible with various hardware manufacturers and 3D printing systems.
Cost Structure: Subscription-based pricing model.
Carbon Impact: Efforts to minimise carbon footprint through efficient manufacturing processes and reduced material waste.
Key Takeaway
Ai Build is at the forefront of integrating AI in additive manufacturing, offering tools that significantly enhance production efficiency, reduce waste, and promote circular economy principles.
Explore Further
Ai Build, founded by Michail Desyllas and Daghan Cam in 2015, is on a mission to revolutionise the global additive manufacturing sector through advanced automation. The company's core values emphasise sustainability, efficiency, and innovation. Ai Build provides AI-powered 3D printing software that enhances speed, quality, scalability, and versatility in additive manufacturing processes. Their primary users include top-tier companies in industries such as aerospace, automotive, construction, marine, and energy.
Location
Headquarters: London, UK.
Operations: Global operations with key clients in the USA, Europe, and Asia.
Strategic Reach: Focus on integrating with a network of hardware manufacturers worldwide.
The Circular Vision
Design Principles: Ai Build embodies circular economy principles by promoting efficient use of materials and reducing waste through advanced automation.
Resource Optimization: The software optimises toolpaths to minimise material usage and energy consumption, ensuring sustainable manufacturing practices.
Life Cycle Considerations: Ai Build addresses the entire product life cycle by enabling efficient production processes and reducing the need for extensive post-processing.
Leveraging for Good: Creators can leverage Ai Build to design and produce parts with minimal waste, contributing to a more sustainable manufacturing ecosystem.
Pioneering Solutions
Key Features: AI-powered toolpath generation, real-time feedback, predictive analytics, and comprehensive 3D printing management.
Unique Value Proposition: Ai Build's software significantly enhances production efficiency, quality, and scalability, setting it apart in the additive manufacturing industry.
The Regenerative Future
Ecosystem Support: Ai Build's solutions support regenerative design by enabling the production of lightweight, durable parts that reduce overall resource consumption.
Future Development: Continuous R&D efforts focus on enhancing AI algorithms to further improve sustainability and efficiency in manufacturing.
Creative Empowerment: Ai Build empowers designers and manufacturers to create innovative, sustainable solutions that contribute to ecological health and resource renewal.
Ethical Considerations
Data Usage: Ai Build ensures data privacy and security, managing the complexity of AI-driven insights while protecting user information.
Bias Mitigation: Measures are in place to prevent or address algorithmic bias, ensuring fair and accurate outcomes.
Transparency: Ai Build maintains a high level of transparency in AI decision-making processes.
Guardrails: The company implements guardrails to prevent misuse of the software and ensure responsible use.
Challenges: Potential challenges include data integration issues and the need for continuous updates to AI models to keep up with evolving sustainability standards.
Fact Sheet
Availability: Available globally through Ai Build's subscription model.
RIBA Stages: Useful in RIBA stages 2-5, particularly impactful in concept design, developed design, technical design, and construction.
Circular Potential: 5/5
Key Integrations: Compatible with various hardware manufacturers and 3D printing systems.
Cost Structure: Subscription-based pricing model.
Carbon Impact: Efforts to minimise carbon footprint through efficient manufacturing processes and reduced material waste.
Key Takeaway
Ai Build is at the forefront of integrating AI in additive manufacturing, offering tools that significantly enhance production efficiency, reduce waste, and promote circular economy principles.
Explore Further
