Previous work

Selected case studies showing how we help businesses turn AI opportunities into systems that actually ship.

generative ai for sales and logistics

International Waste Management Company

Problem: The request-for-quote fulfillment process took too long, creating scalability issues for the team under a flood of prospect demand.
Complications: Critical information lived across many internal tools and millions of images, making quote preparation difficult to standardize or accelerate.
Opportunity: Respond to RFQs in minutes instead of days, improving both sales quality and the total number of opportunities the team could pursue.
Impact: RFQ response time dropped from days to minutes, materially improving sales scalability and prospect engagement.
Solution: Custom OCR pipeline that extracts data from millions of images and unifies it in a single database

AI-powered quote assistant that guides sales reps through pricing, logistics, sustainability, and cross-system research

Seamless integration with HubSpot and the existing sales funnel

Built on Hyperdata Inc.’s proprietary chatbot and custom-GPT development platform, Jamwell.ai
Role: Image recognition and OCR development, multi-API integration, chatbot development.

“Exceeded all expectations.”

elder care startup’s vibe-coded headache

Problem: An elder care startup lacked confidence in its vibe-coded application and needed help across product direction, customer research, and technical reliability.
Complications: The team wanted to preserve the speed of tools like Lovable while lacking a safe way to evaluate security, architecture, and process tradeoffs.
Opportunity: The team’s strong product and design capabilities could be amplified into real full-stack output with the right technical structure and guidance.
Impact: The company launched, acquired its first customers, and continued shipping productively despite having no dedicated technical team members.
Solution: We helped turn the prototype into a production-ready MVP through a security audit and refactor, bug fixes, improved dev-ops, product management decisions, and training.
Role: Technical and product expert, development partner, and dev-ops lead.

“Provided crucial experience and guidance on our AI development journey.”

Tell us what is blocked, what is broken, or what you want to ship next, and we’ll get back to you quickly.