Founded in 2023, Lumi AI uncovered over $150 million in quantified client value for its customers in 2025, demonstrating a clear path for enterprises to identify hidden AI demand. This rapid success, including securing major clients like Kroger and Growmark, confirms an accelerated translation of AI capabilities into tangible business impact. The platform's ability to deliver such significant returns in a short timeframe marks a critical shift in enterprise AI adoption.

Enterprises recognize AI's potential, but often lack internal capabilities to identify and quantify specific, high-impact AI use cases. This gap prevents many organizations from fully capitalizing on their data assets and realizing AI's promised efficiencies.

Companies that leverage purpose-built AI platforms to democratize data insights and quantify value will likely gain a significant competitive edge, while others risk falling behind in efficiency and innovation.

Lumi AI: Uncovering Hidden Value

Lumi AI helps CPGs and food retailers analyze inventory, sales history, procurement, customers, and vendors to find better efficiencies and return on investment, according to AgFunderNews. This specialized focus allows the platform to target specific industry challenges where AI delivers immediate, measurable results. Lumi AI integrates with existing supply chain software, acting as an intelligent assistant. It allows business users to ask plain-language questions and autonomously surface insights, instantly uncovering hidden value, boosting productivity, and freeing up technical teams. Its design enables non-technical personnel to directly engage with complex data, bypassing traditional bottlenecks and rapidly converting internal data into actionable business strategies.

Pricing and Access: Making AI Solutions Attainable

FeatureLumi AI Standard PlanLumi AI Pro Plan
Cost Per User$50 per user per month$75 per user per month
Platform FeesNone$1,000 per month
Included UsersVariesUp to 10 users
Data RequestsVariesUp to 5,000 per month
Target AudienceSmall to mid-sized teamsLarger teams with higher data needs