AI engineering, research-led, for trust.
NexSpring is a team of AI engineers and researchers working on the foundations of trust in autonomous AI.
Featured
Everness
Our current focus. Everness holds an agent's continuity at the inference layer, so a session that runs for days keeps the corrections, conventions, and decisions behind it, with the active footprint bounded as that history grows.
Infinite context, bounded cost.
Team
Faculty
Prof. Lionel Briand
Software engineering and trustworthy AI. Specializes in verification and validation, automated testing, and safety analysis of deep learning models in mission-critical industrial systems.
Faculty
Prof. Gias Uddin
Software engineering and AI. Researches software analytics, natural language processing, and the usability of AI-assisted developer tools.
Faculty
Prof. Heng Li
Software observability and AIOps. Focuses on operations, performance, and sustainability of large-scale software systems through log mining, monitoring, and system analytics.
Founder · CEO
Hanyang Hu
Helps enterprises align software innovation strategy with engineering execution in digital and AI transformation.
Founder · CTO
Jianchen Zhao
Research background in repository mining and system artifact analysis, the empirical discipline behind NexSpring's evidence-based evaluation of agentic systems.
Projects
Everness
Continuity at the inference layer. Agent sessions that run past the model's context window, at a bounded footprint.
Lucidity
Independent evaluation for agentic systems. Signed reports with a verdict, for vendor disclosure and buyer due diligence.
Contact
Challenge us, we're up for it.