An AI-powered SaaS company came to Quixas with a build that required more than a feature team. They needed a technical partner to design and deliver the core product intelligence layer their platform runs on.
The platform serves innovation teams at enterprise organisations. The modules Quixas built are central to how those teams operate daily.
The Problem
Innovation teams across product, engineering, R&D, and marketing were losing the majority of their productive time to documentation overhead:
- Product knowledge was trapped in silos. Every product launch required re-discovering information that already existed somewhere in the organisation.
- Existing tools could not understand product development context. They produced generic output that required significant manual editing.
- The platform needed to perform at enterprise scale, trusted by innovation leaders at organisations including Boeing, Hearst, and the United Nations.
The client needed a system that was robust, auditable, and intelligent enough to handle complex multi-stakeholder product workflows.
What We Built
Quixas designed and built two core modules that power the platform.
Product Knowledge Hubs
A centralised, searchable knowledge layer where product, engineering, R&D, and marketing teams store, access, and build on each other's work. Documents are automatically linked, versioned, and surfaced in context, eliminating the search-and-recover cycle that was consuming innovation time.
AI Documentation Engine
An AI system trained to understand product development workflows, not generic writing. It surfaces relevant data, asks targeted questions, and drafts structured documents with every insight traced to its source. Market requirements documents, technical specifications, and product briefs generated at a fraction of the manual effort.
UN World Food Forum Feature
A custom module built specifically for the UN World Food Forum program, enabling AI-driven innovation workflows in the context of global food security. Deployed as part of the UN's broader effort to apply emerging technology to humanitarian outcomes.
The Stack
AI Layer: Custom LLM orchestration + RAG pipeline
Backend: Python + REST API architecture
Knowledge Store: Vector database + structured document store
Integrations: Cross-functional workflow connectors
Infrastructure: Cloud-hosted, enterprise-grade securityThe Result
The platform is now trusted by innovation leaders at Boeing, Hearst Media, and the Association of Manufacturing Technology, with a custom feature deployed at the UN World Food Forum.
Key outcomes from the build:
Enterprise adoption across major organisations. The product intelligence layer Quixas built sits at the core of a platform used by some of the world's largest innovation teams.
Deployed at the United Nations World Food Forum. A Quixas-built feature was selected for deployment as part of the UN World Food Forum, one of the world's most prominent platforms for innovation in food systems.
46% faster product development cycles. Platform data shows innovation teams progress through development stages 46% faster, a direct result of eliminating documentation overhead.
Cross-functional alignment without meetings. Product, engineering, R&D, marketing, and leadership teams now operate from a single source of product truth.
Client name withheld pending approval. Full case study with attribution available on request.
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