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Most compliance AI wastes 80% of its time shuffling data between CPU and GPU. We eliminated that. Built for UK regulated industries.
Live log streams grow continuously. Our searched-frontier tracking mechanism extends the corpus buffer without re-encoding existing documents and dispatches the GPU only against unsearched data beyond the frontier offset. Atomic contention detection prevents non-linear slowdowns when match density spikes.
Standard regex cannot run on GPUs due to SIMD branch divergence. Our two-phase pattern matching engine uses character frequency histograms in 16 KB shared memory to eliminate 97% of candidates before byte-level matching, enabling sub-second fraud detection across millions of chat messages.
Server-side CRM queries add 150 to 400 ms per interaction. Our Adaptive WebGPU Data Query Engine runs relational operators on in-memory columnar data at the client, using dictionary encoding for GPU string processing and a 6-factor scoring function for per-operator dispatch.
Manual processes cost more than you think. How to calculate the real cost of not automating, and where AI delivers the fastest ROI.
What RAG systems are, how they work, and why they matter for companies that need AI to search proprietary data without exposing it to third parties.
