01/The Problem

Most enterprise AI never ships.

The models are not the problem. The gap between a vendor demo and your production environment is. Messy data, undocumented APIs, missing ontologies, compliance friction, and a 58 day hiring cycle for ML engineers. Pilots stall, budgets evaporate, and the board asks why.

74%

of companies struggle to achieve and scale value from AI.

Source: BCG, 2024

70 to 85%

of GenAI deployments fail to meet the ROI leadership expected.

Source: NTT DATA

75%

of corporate AI initiatives fail. Leadership and integration are the most cited reasons.

Source: Fortune, 2024

58 days

is the average time to a first PR via an in house ML hire. Then six to twelve weeks to ramp.

Source: Hiring market

Ready to ship?

Book a 15 minute scoping call. Limited capacity each quarter.