HPCIQ

AI for Lab-Scale Data, Built for Secure Environments.

HPCIQ transforms massive, fragmented datasets--simulation outputs, experiment logs, code repositories, and file system metadata--into a governed, queryable intelligence layer for research labs and high-performance computing environments.

Built for the questions that matter most

Lab-Scale RAG, Built for HPC

HPCIQ enables Retrieval-Augmented Generation at lab scale, allowing researchers to query and understand massive datasets with accuracy, traceability, and context.

Secure by Design

HPCIQ is built for environments where security is non-negotiable.

Generate Training Data at Scale

HPCIQ turns raw datasets into model-ready training data. It automatically generates high-quality Question-Answer-Context (QAC) triplets grounded in real source data, optimized for pre-training and fine tuning.

Enable New Workflows

HPCIQ powers a new class of workflows inside labs and research environments: Find files, Explain results, Compare runs, Generate insights

Secure By Design

Operates in fully isolated or air-gapped networks

Respects identity and access controls

Maintains complete auditability of every response