BOOKSelected AI systems, infrastructure, and applied intelligence work across product, enterprise, and client environments.
A reasoning graph system used to preserve decisions, constraints, and implementation context from AI-assisted design conversations.
An agentic AI system for mapping aerospace contract obligations to verification methods, success criteria, evidence expectations, and compliance review.
A spatial AI system used to review warehouse delivery conditions before large aerospace equipment, spaceflight hardware, and high-value industrial tools arrived on site.
At Hakai Lab, we help your business use AI effectively, from strategy and buying decisions to implementation, deployment, maintenance, and repair.
An AI system that monitored a shared inbox across fifteen funds, forwarded each message to the right fund team, escalated uncertain cases, and tracked answers against an SLA.
A document workflow system that parsed contracts from email, generated briefing reports for attorneys, and monitored contract changes that could affect a client's position.
An AI system that checked a health plan's policies against a state compliance questionnaire and returned sourced decisions for an auditor to review.
An AI system that analyzed reviews, social media comments, customer sentiment, and competitor pricing to support product and market decisions.
A market intelligence system that identified and interpreted signals related to startup positioning, traction, and opportunity.
An AI system for simulating adversarial cybersecurity behavior, helping model red-team and blue-team detection and response scenarios.
A Rust-based tool for merging LoRA adapters into SafeTensors models with memory-mapped I/O and low-memory workflows for large models.
A computer vision system for security workflows that used object and facial recognition to identify people, objects, and activity in monitored environments.