AI research and experiments running right now.
Benchmarking sub-200ms response times for real-time voice agents — the threshold where callers stop noticing they are talking to AI.
Automated pipeline measuring how accurately chatbots retrieve and cite the right information from client knowledge bases.
A scoring layer that checks AI-generated content against brand voice, factual accuracy, and SEO signals before it goes live.
Hybrid collaborative + semantic filtering for e-commerce and content platforms.
Conversational lead scoring that rates prospects during chat based on intent signals, budget indicators, and industry fit.
Intelligent routing layer that picks the right model for each task — optimising cost and latency per request.
Monitors Google reviews and drafts on-brand replies within minutes. Adapts tone per rating — empathetic for 1-star, grateful for 5-star.
Comparing vector databases for sub-50ms semantic search on large product catalogues.
Adaptive onboarding that detects where users get stuck and intervenes with contextual help.
End-to-end reservation handling via chat — checks availability, suggests alternatives, and sends confirmations.
PDF parsing pipeline that extracts structured data from invoices, contracts, and compliance documents.
EU AI Act risk classification and compliance report generation. Powers Irvo — from gap analysis to PDF export.
Orchestration layer connecting AI agents to business tools — event-driven triggers that fire the right AI at the right moment.
CI pipeline that catches prompt regressions before new model versions reach production.
The free audit tool on this site. Fetches real HTML, extracts metrics, and feeds them to Claude for grounded scoring.
Server-Sent Events streaming with dual-provider fallback. The chat widget on this site is the live implementation.