Interview

Aaron Slodov's Atomic Industries raises $25M Series A to automate injection mold manufacturing in Detroit

Sep 19, 2025 with Aaron Slodov

Key Points

  • Atomic Industries closes $25 million Series A to expand Detroit manufacturing footprint, with new facility now handling part production at scale alongside mold manufacturing.
  • The company is securing multi-year part production contracts generating mid-eight-figure revenue, positioning injection molding as recurring-revenue business rather than transactional services.
  • CEO Aaron Slodov, an autonomous vehicle veteran from Google, applies sensor-and-data automation frameworks to injection mold design across automotive and aerospace, targeting parts up to shoebox size.
Aaron Slodov's Atomic Industries raises $25M Series A to automate injection mold manufacturing in Detroit

Summary

Atomic Industries has closed a $25 million Series A, with CEO Aaron Slodov announcing the round will be directed primarily toward R&D and physical footprint expansion in Detroit. The company is splitting its operations across two facilities: factory one produces injection molds, factory two handles part production at scale. The new factory, shown in video during the segment, represents a significant step up from the previous facility.

The business model has evolved through three distinct phases: software-first design automation, mold manufacturing, and now active part production. Atomic has secured its first multi-year part production contracts, which Slodov compares to SaaS-style recurring revenue. The company is currently tracking in the mid-eight-figure revenue range from those programs, with a stated target of nine figures at the next growth milestone. Headcount sits at roughly 50 people, including factory floor staff.

Slodov's background is in autonomous vehicles, with roughly 15 years of experience including an early role at Google on self-driving systems. That foundation shapes Atomic's approach: treating factory automation as a sensor-and-data problem analogous to vehicle control, with Meta smart glasses cited as a potential data-collection layer for capturing skilled trade workflows.

The core technical thesis is size-constrained generalization rather than industry specialization. Atomic targets parts up to roughly two shoebox volumes, applying AI-assisted mold design across automotive, aerospace, and other verticals rather than locking into any one sector. The goal is to lower the cost and friction of injection molding enough to shift engineering decisions about which components should be plastic versus metal.

On the macro reindustrialization narrative, Slodov acknowledges manufacturing workforce data has been uneven but argues underlying demand is structural and predates tariff policy. He flags active engagement with the current administration, though without specifics. He anticipates a consolidation of skilled trade labor as automation penetrates the industrial base, framing it through Jevons paradox: cheaper, more efficient production expands total output rather than simply displacing workers.

Detroit was chosen deliberately for access to manufacturing talent that does not exist in California or other tech hubs. Future facility locations will be evaluated against state-level incentive packages, with California ranked low given its regulatory posture toward industrial businesses. Slodov reports significant inbound investor interest following the LinkedIn announcement, describing venture appetite for viable industrial tech as an "ocean of capital."