AI workflow benchmarking
Turn a real business workflow into an eval suite: prompts, data samples, scoring rubrics, latency checks, and cost comparisons.
Consulting
Benchmark your AI workflow before deploying it.
Edxperimental Labs helps teams choose models, evaluate AI systems, and build confidence before committing to a provider or production architecture.
Model and provider selection
Compare OpenAI, Anthropic, Google, open-weights, and inference providers against your accuracy, privacy, cost, and speed constraints.
Deployment review
Stress-test RAG systems, agent workflows, prompt pipelines, and internal AI tools before they become expensive production mistakes.
Relevant case studies
View allNational Instruments Leadership Forum
AI Event Co-host System
A live AI voice assistant built in four days to co-host an enterprise leadership forum with scripted segments, listening mode, waveform monitoring, and guarded responses.
US-based stealth startup
On-device AI Classification System
A hybrid classification architecture combining lightweight on-device inference with server-side LLM routing for a large category taxonomy.