You build AI systems that understand specialty insurance - not generic chatbots. This means training models on actuarial concepts, underwriting logic and pricing frameworks, then embedding that intelligence into products like automated triage, intelligent document extraction and pricing recommendations that actuaries actually trust.

You own the infrastructure that makes AI reliable at scale - from evaluation frameworks that measure model performance across thousands of insurance scenarios, to deployment pipelines that safely roll out new models to customers. You balance cutting-edge research with production constraints like latency, cost and compliance.

You design and deploy multi-agent systems that coordinate across tools, memory and knowledge bases. From routing complex insurance queries to orchestrating document processing pipelines, you build agents that make autonomous decisions while maintaining reliability and explainability in high-stakes environments.

AI at hx builds production models from scratch when off-the-shelf solutions don't meet requirements. You train custom models on proprietary insurance data, experiment with novel architectures, and push beyond what's available through APIs - treating model development as core engineering work, not just prompt tuning.