DRAFTER| Machine to Machine Learning
Drafter: The Copilot for Hardware Design.
Chris Barton and Peter Atkin envisioned a tool to automate and streamline hardware design, empowering teams to optimize quality, cost, and lead time.
Drafter is redefining hardware development with an automated platform that accelerates time to market and reduces production costs. Their intelligent “copilot” automates essential tasks like PMI and GD&T, making sophisticated design capabilities accessible to all
By centralizing design data and creating manufacturing-ready specifications, Drafter empowers teams to balance cost, quality, and lead time, setting a new industry standard in efficient, high-quality production.
In today’s hardware development landscape, Drafter bridges the gap between design and manufacturing through automation. Founded by Chris and Peter, Drafter accelerates time to market and reduces production costs with a “copilot” for engineers, automating tasks like PMI, GD&T, and DFM.
Drafter’s platform empowers teams to streamline complex workflows, allowing them to achieve an ideal balance of cost, quality, and lead time—the “golden triangle” of product development. By centralizing essential design data, Drafter delivers manufacturing-ready specifications, helping companies meet high standards with greater efficiency.
Supported by leading Silicon Valley venture firms, Drafter is setting a new standard in hardware design. Their vision of creating a single source of truth for procurement and manufacturing is reshaping the way parts are designed and produced, making high-quality hardware more accessible than ever.
Empowering Hardware Development Through Automation.
Drafter enables hardware teams to streamline and simplify the design-to-manufacturing process, reducing costs and accelerating time to market. By automating tasks such as generating PMI, GD&T, and performing DFM, Drafter equips teams to deliver high-quality, production-ready specifications.
FOUNDERS:
→ Chris Barton
→ Peter Atkin
LAST FUNDING STAGE:
Pre-Seed
VECTOR:
Machine to Machine Learning
10
Team Members
1.5M
Funding to Date
CO-FOUNDER
Chris Barton
CO-FOUNDER
Peter Atkin
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