Download the PDF with architecture details and measurable outcomes.
Leave a few details and we'll send the case study to your inbox.
# ML/AI Customer Story — 3x ROI **Industry:** ML/AI **Cloud:** Multi-Cloud **Outcome:** 3x ROI ## Summary Docker-based packaging removed dev-team dependency from every proof-of-concept, compressing sales cycles and lifting evaluation throughput. ## The Challenge The ML startup was watching its sales cycles stretch because every proof-of-concept at a customer data center required dedicated time from key engineering personnel. Setting up evaluations had become a bottleneck that delayed the moment customers actually saw the product's value.With installation depending on the same small group of people who should have been building the product, PoC throughput was capped — and sales momentum stalled behind it. ## The Solution CloudHedge implemented Docker-based containerization to package the product for customer deployments. The PoC setup no longer needed hand-holding from the development team, and the installation process stopped relying on specific key personnel.Containerized delivery meant customer environments could be stood up quickly and consistently, removing the logistical roadblocks that had previously delayed every evaluation. ## The Outcome The startup realized a 3x return on investment as sales cycles compressed and PoC throughput climbed. The team could run more evaluations in less time, with fewer senior engineers pulled in per deal.Customer satisfaction rose as setup friction disappeared, and relationships strengthened because prospects could focus on the product's capabilities instead of its installation quirks — exactly the kind of growth runway an early-stage ML company needs. ## Stack - Docker - Containers ## Contact Book a demo: /contact/ Email: hello@cloudhedge.io