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
Lucidity
Our current focus. Lucidity evaluates agentic systems across five faithfulness axes. It produces transparent, reproducible evidence for vendor disclosure, buyer due diligence, and continuous compliance reporting.
Agent-level, reproducible, continuous.
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
Lucidity
Evaluation for agentic systems. Reproducible evidence for vendor disclosure and buyer due diligence.
Reasoning SFT
Reasoning distillation for private deployments. We fine-tune models on domain-specific tasks where traceable logic matters.
Contact
Challenge us, we're up for it.