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Research · AI
How do intelligent systems become dependable components of real products? Our AI research follows the path from model capability to operational reliability: grounding, tool use, evaluation and the interfaces through which people direct and supervise machine intelligence.
Active direction
How should an agent's authority be scoped so that consequential actions always pass through explicit human confirmation?
What evaluation methods predict real-task reliability better than generic benchmarks?
How can an interface make the provenance and freshness of an AI answer legible at a glance?
When does orchestrating several smaller models outperform a single larger one on cost and latency?
No findings have been published in this direction yet.