Research Lab & Technical Proofs
We invest in machine learning research to solve complex physical-world alignment challenges and edge-compute resource limitations.
Adaptive AI Prompt Correction in Local Inferences
Investigating real-time corrections to LLM instructions on-device to match exact machinery SOP variables without retraining models.
Human-Aware AI Gestures on Production Lines
Developing lightweight spatial classifiers to parse video feeds, translating operator hand gestures into system commands offline.
Energy-Efficient Edge Deep Learning
Compressing vision checking models to execute on low-power chips (e.g. Raspberry Pi, Jetson Nano) directly on-site.
Auxiliary Engineering Proofs
To prove our technical capability outside industrial B2B boundaries, we host a repository of non-industrial prototypes engineered by our team.
Resume AI Parser POC
POC CodeA parser script that automatically extracts candidate job credentials, contact variables, and formatting summaries from PDFs.
Recruiter Chatbot Prototype
POC CodeAn automated websocket conversational interface that handles interview scheduling and candidate pre-screening checks.
Telemetry Trading Script
POC CodeA telemetry trading script analyzing daily stock metrics and outputting simple regression-based support levels.