CustomerInsights.AI
- AI Engineering, Healthcare & Life Sciences
Client
CustomerInsights.AI
Location
Scottsdale, AZ
Engagement
AI Engineering and Life Sciences & Healthcare
Technologies & Tools Used
From static interfaces to conversational, context-aware insights.
CustomerInsights.AI is a life sciences-focused company delivering advanced analytics and commercial insights through AI-driven platforms.
Its domain-specific products provide users with insights, recommendations, and data-driven guidance across complex healthcare workflows.
Its flagship ciATHENA platform brings that intelligence into an agentic, conversational experience.
Building an agentic interface that maintains context across every session.
CustomerInsights.AI was building ciATHENA, an agentic platform for domain-specific life sciences insights.
The platform needed a conversational interface capable of handling complex questions, returning real-time insights, and providing context-aware suggestions.
It also had to support dynamic sessions and voice input while remaining seamless across applications and multiple contributing teams.
Spark Eighteen helped CustomerInsights.AI replace static, click-driven analytics screens with an agentic conversational interface built to retain context across every session.
The Challenge
CustomerInsights.AI needed a responsive conversational interface that could deliver domain-specific insights in real time, support voice interaction, and maintain context across sessions and applications.
Real-Time Conversation
Voice Input
Persistent Context
The Solution
Spark Eighteen built the agentic conversational interface for ciATHENA on a scalable React-based frontend with reusable components, enabling multiple product teams to iterate without breaking consistency.
We connected the interface to the platform’s agentic AI workflows, APIs, and domain logic.
The solution included dynamic session handling and integrated voice input, with frontend, backend, and DevOps owned end to end.
The Results
Users can now retrieve KPIs, charts, and analytical outputs by asking questions through text or voice.
They can continue exploring insights in one continuous thread across workspaces.
Complex data now answers questions instead of remaining hidden behind menus.
8 steps
2 modes
Business Outcomes
Conversational UX shipped - An agentic interface delivering insights through natural interaction.
Context that holds - Persistent sessions let users chain questions without starting over.
Built to scale - Frontend, backend, and DevOps foundation ready for expansion across teams.
Insights within reach - KPIs and charts retrieved by conversational query, cutting friction.
Cross-workspace flow - Movement from conversational insights into collaboration spaces.
Faster development cycles - Reusable components improved efficiency across contributors.
Given the number of product teams involved, coordination was critical. Spark Eighteen worked smoothly across teams and adapted well as requirements evolved. The team demonstrated strong engineering maturity, particularly in maintaining UI consistency and session context in a fast-moving development environment.
