Integrate AI directly into your dashboards and interfaces. Let users move from observation to insight without leaving your product.
Discuss AI Integration
We are confident in adding AI into existing systems, as well as in designing and building the entire data experience, from the presentation layer to AI interaction.
Introduce a dedicated assistant that lets users communicate with data directly within a chart, dashboard, or analytics application. Enable them to ask questions and alter views, like adding new series and trendlines, filtering, and zooming into a specific dataset.
Let your users generate functional, data-connected dashboards with simple natural language instructions. All they need to do is describe what they need, and the dashboard builds itself. No manual data selection, no filter configuration, no layout work.
Help users understand how AI generates insights. Make the model’s reasoning visible by bringing explainable AI into your product. Show how users actually use your LLMs directly in your interface.
Build a structured and secure layer that connects your LLMs with complex, multi-source databases. The MCP server acts as a controlled gateway between the model and your databases, instead of using fragmented or manually prepared inputs. This ensures relevant insights, strong security, and reliable context while maintaining governance and performance.
We integrate AI solutions directly into your product architecture. We work alongside your data and backend teams, focusing on the front-end, data visualisation, and AI interaction layer, without replacing your core infrastructure.
Discuss Your AI IdeaAdding an AI component to your data product creates additional value beyond just presenting information. Here is what changes for your users, your team, and your architecture.
Users get answers in the context of their data - no switching tools.
Users stop exporting data to external BI tools and find every insight they need within your AI-powered platform.
Business users explore complex datasets and build their own analytical environments without depending on technical teams.
What used to take hours of manual work now gets generated in seconds from a natural language instruction.
We build every AI integration with quality, transparency, and accuracy as its core. Your users can trust the results, and your organisation can confidently stand behind them.
Users see how conclusions are generated, including conversation flows, prompt evolution, and decision patterns.
Clear context, controlled data access, and reliable data lead to more accurate results.
Every interaction between the model and your data can be logged, monitored, and reviewed to meet enterprise and regulatory requirements.
We've delivered 170+ production implementations across fintech, healthcare, and enterprise analytics. With 15+ years in data visualisation engineering, we know how to build integrations that perform reliably in complex, high-stakes environments.
We eliminate experimentation cycles and deliver working systems faster, without compromising quality.
No fragile prototypes. Every implementation is stable, scalable, and ready for real-world loads.
Design, orchestration, and interaction logic are handled on our side. Your engineers stay focused on core product development.
Every system ships with permission-aware access, audit-ready logging, and accessibility compliance built in from day one.
Our implementations align with your architecture, coding standards, and deployment pipeline. No disruption, no rewrites.
We solve edge cases before they become blockers. You benefit from battle-tested patterns, not trial-and-error learning.
