Tony Heller, CTO

CTO, Tony Heller has spent more than 50 years identifying and addressing bottlenecks in computer visualization. Built on those insights, Visitech.Ai is engineered for the modern reality of high-velocity, high-volume data streams, eliminating latency between data ingestion, interpretation, and operational response.

By integrating GPU-accelerated rendering, client-side relational intelligence and natural language interfaces, the platform enables real-time visualization of data at scale while simplifying query interaction through AI-driven workflows.

"The advent of AI provided us the missing link in overcoming long-standing limitations in data analysis and visualization," says Heller.

A Unified, High-Performance Architecture

Visitech.ai brings together a GPU-accelerated geospatial engine, the hardware-accelerated ChartGL analytics layer and client-side SQL with LLM integration into a unified architecture that enables real-time interaction across maps, charts and large-scale datasets.

Users load datasets into DuckDB, a client-side in-browser database engine, for local querying. The platform then automatically generates a schema that allows data to be queried in plain English to identify top-performing regions or compare performance metrics. LLMs immediately translate these queries into SQL, execute them locally and instantly update maps and graphs as interactive visualizations. Client-side execution removes the traditional server-wait cycle, while an editable SQL interface allows technical users to refine queries for greater precision.

Traditional web-based mapping systems often experience lag and interface slowdowns when rendering large volumes of interactive markers.

VisiTech.Ai utilizes custom WebGL and WebGPU shaders to offload the mapping workload to the local GPU, enabling the display and manipulation of millions of markers at a consistent 60 frames per second, operating at what Heller describes as "video-game speeds." Within this high-density environment, each marker remains an interactive object linked directly to underlying data.

The advent of AI provided us the missing link in overcoming long-standing limitations in data analysis and visualization.

Integrating custom GPU-based markers with Google Street View enables users to access location-level visual context without leaving the interface. All visual elements remain synchronized in real time, allowing any filter, query or interaction to immediately update connected maps, charts and datasets within a unified analytical environment.

VisiTech.Ai's GPU-driven architecture allows users to zoom, pan and seamlessly explore large-scale datasets while continuously moving between geographic and data-driven perspectives.

GPU-Accelerated Charting at Scale

Complementing its geospatial capabilities, Visitech.Ai's proprietary ChartGL engine processes data directly on the GPU using vertex and fragment shaders rather than CPU-bound charting tools.

Rendering millions of data points across time-series charts, histograms and scatter plots, the platform enables users to smoothly navigate years of sensor data or zoom into a specific millisecond of activity for trend identification and fine-grained analysis.

Beyond visualization, the platform's dashboard functions as an active monitoring system, where every data point is part of a continuous, real-time stream. Operators define custom thresholds through always-on alarms that track incoming telemetry, even without active user input. When triggered, the platform initiates immediate, multi-channel notifications, including SMS alerts and detailed email reports. Users can navigate directly to the exact time and location of the event, with related charts and visual context pre-filtered around the incident.

For instance, in a manufacturing process control setup, the platform monitors sensor data at 500-millisecond intervals, displaying multiple parameters through interactive graphs. When thresholds like temperature exceed defined limits, the system records alarms, marks events visually on the timeline and escalates alerts through SMS or email based on severity.

Building on its performance capabilities, VisiTech.Ai plans to expand support for larger datasets beyond current browser-memory limitations while advancing predictive analytics capabilities and commercializing its ChartGL and GPU-accelerated mapping technologies.

From tracking river water levels or visualizing global storm events, Visitech.ai shortens the path from query to insight, keeping data fluid, insights accessible and responses immediate.