Cuts spec run times to 25 mins at ~$0.27 avg cost with Gemini
Generates 58 UI screens in 1 hour using Gemini and Google Stitch
Delivers 93% model quality at 5% cost using Gemini 2.5 Flash-Lite
Secures local user privacy using Cloud Run hybrid reasoning
Reduces data warehousing costs in BigQuery
Imagination AI uses Google Cloud and Gemini to automate app design workflows and deploy cost-effective, context-aware products.
Imagination AI uses Google Cloud and Gemini to automate app design workflows and deploy cost-effective, context-aware products.
Automating app design specs with schema-constrained Gemini pipelines
Imagination AI, part of Imagination Holdings, builds a portfolio of next-generation consumer applications across health, social media, and knowledge management. The company focuses on embedding adaptive, context-aware AI throughout its products and creation workflows. However, early-stage product development presented a major operational bottleneck: translating complex Product Requirements Documents (PRDs) into actionable design frameworks required manual coordination across market research, feature-gap analysis, user flows, and wireframing. Using generic AI design tools led to frustrating trial-and-error loops—restating brand guidelines across prompts and incurring unpredictable token costs.
To build a structured, repeatable development model, Imagination AI selected Google Cloud to build its internal AI Design Spec Coach. Working alongside Google Cloud partner Tridorian to align foundational architecture, the team harnessed Gemini Enterprise Agent Platform to output typed, schema-constrained artifacts rather than conversational chat.
The pipeline implements intelligent model routing: Gemini 3.1 Pro handles reasoning-heavy research, while Gemini 3.6 Flash executes high-volume specification generation. These structured outputs synchronize seamlessly with Google Stitch to render reviewable visual prototypes that transition directly into Figma. Grounding research using Google Search and persisting run states in Datastore under Identity-Aware Proxy governance eliminated disjointed prompting sessions. A complete specification run now finishes in 25 to 30 minutes at an average cost of ~$0.27, enabling a complete 58-screen UI prototype to be generated in under an hour.
Translating PRDs into design specs used to mean constant re-prompting and lost context. With Gemini on Google Cloud, we created a structured pipeline that turns requirements into reviewable prototypes in minutes.
Moiz Syed
Founder and Group CEO, Imagination AI
Deploying reusable Gemini intelligence across consumer applications
Beyond internal design automation, Imagination AI established Gemini as a reusable intelligence engine across its consumer application portfolio—including Femverse (women’s health), XeNo (hybrid cloud-device intelligence), Raaye (social media), and Vivlo (knowledge management).
For Femverse, the team conducted production benchmarks across 105 real scenarios. Deployed using Gemini Enterprise Agent Platform, Gemini 2.5 Flash-Lite delivered 93% of top competitor model quality at roughly 5% of the generation cost ($0.75 vs $14.14 per 105 scenarios) with ultra-fast 11–12 second P95 latency.
In XeNo, user data remains encrypted locally on-device for total privacy, while Cloud Run executes Gemini as a cloud reasoning API. Gemini handles query decomposition, intent routing, and answer generation without receiving raw user files. This hybrid architecture delivers privacy by design alongside powerful cloud intelligence, enabling Imagination AI to deploy context-aware consumer experiences efficiently.
Gemini allows us to embed sophisticated, privacy-focused AI across Femverse and XeNo, giving us a scalable, cost-effective intelligence layer across our entire consumer app portfolio.
Moiz Syed
Founder and Group CEO, Imagination AI
Optimizing enterprise data architecture to scale business intelligence
The organization needed an enterprise-grade data foundation capable of consolidating business intelligence and controlling operating overhead to support its expanding multi-application ecosystem. Building on an eight-to-nine-year relationship with Google Cloud, the company centralized analytics from GA4, Google Play, AdMob, and Google Ads into BigQuery.
Imagination AI deepened its engagement with Tridorian to optimize this environment. Over a multi-month collaboration involving weekly technical working sessions, Tridorian conducted architecture reviews, refined query performance, improved data modeling, and led hands-on training for Looker reporting dashboards.
Its technical recommendations significantly reduced BigQuery query and warehousing costs while transferring critical data engineering capabilities to internal teams. By staging raw source files in Cloud Storage and deploying web applications with Firebase App Hosting, Imagination AI established a unified, cost-efficient infrastructure. Combined with Gemini, this resilient Google Cloud foundation ensures the company can continuously iterate, launch context-aware applications, and scale its long-term vision for AI innovation.
Imagination AI, part of Imagination Holdings, builds a portfolio of AI-enabled consumer applications across digital health, social media management, and hybrid device-cloud intelligence.
Industry: Technology
Location: Singapore
Products: Gemini Enterprise Agent Platform, Gemini, BigQuery, Cloud Run, Cloud Storage, Datastore, Identity-Aware Proxy, Firebase App Hosting, Google Stitch
About Google Cloud partner – Tridorian
Tridorian is a Google Cloud partner specializing in data engineering, data warehousing optimization, and analytics, helping organizations improve performance and cost efficiency in BigQuery.
