Endava cuts requirements analysis time with Codex agents

Nous Research, maker of the Hermes agent framework, is raising at least $75 million in new funding at a $1.5 billion valuation. The round is led by Robot Ventures with significant participation from USV and other investors. The funding reflects growing investor interest in AI agent development and specialized model makers outside the major labs.

Bluesight, a healthcare compliance software company, built Prism, an agentic AI solution using Amazon Bedrock that automates cross-product compliance analysis for hospitals. The system launched with Prism Assistant for ControlCheck in May 2026 and is already deployed across 20 health systems. The solution addresses a critical operational bottleneck: hospitals managing 340B Drug Pricing Program compliance spend over 4,000 hours annually on manual audits that require cross-referencing purchases against FDA shortage lists, inventory data, and signals from hundreds of other hospitals.

X Square Robot, a Chinese embodied-AI company, proposes an integrated software stack as the foundational recipe for general-purpose robots, combining data collection, world models, and action models rather than assembling separate perception and control systems. The company emphasizes data quality over scale, using a wearable rig for human demonstrations with physical validation on real robots, achieving performance comparable to all-robot datasets at roughly 20-fold lower collection cost. This approach challenges the field's lack of consensus on how to build robots with transferable intelligence across tasks and machines.

Half of enterprises have deployed AI agents that passed internal evaluations but still failed in production, yet 66% are expanding autonomous deployment without human review. Only 5% trust their automated evaluation systems, creating a widening gap between the speed of agent autonomy and the assurance mechanisms to govern it. The mismatch reflects a broader pattern where companies ship agents first and retrofit control layers later.