©
2025

The Challenge
Cubekit had quietly become the secret weapon of 3D artists worldwide, but their dated interface was limiting growth. They needed a transformation that would unlock their potential for broader creative adoption.
Despite powerful 3D capabilities that artists loved, Cubekit's interface felt like it belonged in the early 2000s. The complexity that made it powerful also made it intimidating to newcomers, while established users were frustrated by inefficient workflows. The community was passionate but small, held back by barriers that had nothing to do with the underlying technology.

The Challenge
Unlocking deep commercial insight is always limited by human bandwidth. No matter how skilled, analysts must sleep, eat, and take breaks. Even the most committed teams can only process so much information, and critical signals are often missed when the workload exceeds human limits.
Traditional business analysis is slow, expensive, and ultimately constrained by the working hours and energy of people. In high-stakes industries, this means opportunities are lost and competitive advantage is capped.

The Solution
InsightPilot delivers continuous, multi-perspective business intelligence at MBA quality, twenty-four hours a day. Users upload PDFs, connect RSS feeds, and integrate both internal from Microsoft Teams and external data sources from Internet. The platform orchestrates a team of AI agents, each with specialized analytical skills, to analyze, monitor, and validate findings from every angle.
With advanced neo4j knowledge graph integration, InsightPilot automatically maps relationships and visualizes knowledge networks. Users can interact with their data, define and save custom thinking strategies, and lead their own AI analysis teams. The result is business analysis that matches or exceeds the quality of top consulting firms, but at unmatched speed and scale.


The Process
Product architecture, multi-agent system design, custom data pipelines, and interactive strategy builder delivered in two months.
We conducted deep stakeholder interviews, mapped advanced business analysis workflows, and engineered a modular agent framework. The system supports plug-and-play data sources, user-defined strategies, and collaborative agent teams, allowing for rapid iteration and scalable intelligence.
By the numbers
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