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Capabilities

Engineering capabilities for AI products

An AI agent is the brain. These are the body it ships in. Frontend, backend, mobile, cloud — the engineering layer most AI agencies hand off to someone else, that we build alongside the agent.

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Selected work

Built across the stack

Anonymized engagements showing the engineering range behind these disciplines — no client names per NDA.

Logistics

Real-Time Fleet Monitoring and Route Optimization

18%

Fuel Cost Reduction

96.5%

GPS Uptime

14%

Empty Mile Reduction

The empty mile reduction paid for the system within the first two months of operation. The dispatch team now has real information to make decisions from instead of relying on driver phone calls.

Operations Director, Logistics Company

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Retail

Multi-Brand Skincare E-Commerce Platform

<2.5s

LCP (Core Web Vitals)

50+

Products at Launch

6

Filter Dimensions

The routine builder was the feature we couldn't get from Shopify. It became the primary driver of repeat visits — customers come back to update their routine as they try new products, not just to browse.

Founder, Skincare Retail Brand

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Digital Trust

Enterprise Digital Signature Mobile Application

<2s

PDF Load Time (100pg)

<800ms

Signing Operation

50+

Offline Queue Capacity

The single codebase was a business decision as much as a technical one. Maintaining feature parity across two native apps had become a constant source of support issues and release delays. Flutter eliminated that overhead.

VP of Product, Digital Trust Services Provider

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