Starting Point

An industrial AI robotics company had strong pilot success but couldn’t scale deployments.
 

Cycle times grew longer, engineering teams were overloaded, and enterprise buyers grew frustrated.

Underlying Structural Problem

The company scaled customer-by-customer instead of system-by-system.

Their architecture created:

• non-repeatable deployments

• high engineering lift

• no compounding efficiency

• a hard ceiling on growth
   

Strategic Interventions

Over 16 days, we rebuilt the scale architecture:

• redesigned onboarding to eliminate engineering bottlenecks

• defined a repeatable “deployment spine” that cut cycle time by half

• recast the company as “autonomous infrastructure,” not robotics consulting

• built a revenue model aligned with scalable unit economics
   

Impact

• 4× deployment throughput without hiring

• engineering bandwidth freed by 37%

• pipeline conversion increased

• valuation uplift: +$15–$22M