Built once. Pointed at the hard problems.

The problem

Technicians and operators need the right procedure for their role, now, and a wrong answer costs more than no answer.

What HELM does

HELM retrieves only from an approved corpus, fences publications by role, quotes the source with its publication ID, and refuses when the procedure is not there or the question looks like injection.

You get

• Cited, extractive answers
• Role-fenced publication access
• Session audit with query hash
• Gold-set evaluation on every change

The problem

Training and maintenance teams need articulated, correct digital assets, and the source data is drawings, tables, and manuals.

What HELM does

Agents author a parametric model from a rights-cleared source, deterministic checks block a bad draft, and a reviewer signs high-impact edits before anything is exported.

You get

• Parametric, articulated models
• Validation report per package
• Procedure state and edit history
• Exports for training engines

The problem

Requirements, design reviews, and acquisition studies produce decisions whose reasoning is lost by the next milestone.

What HELM does

HELM captures each decision with the requirements, models, and evidence behind it, re-checks it when an input changes, and shows who approved what and why.

You get

• Decision records with lineage
• Requirement and model traceability
• Change impact on prior decisions
• Reviewer sign-off trail

The problem

Programs are asked to field AI they cannot measure, against failure modes nobody has written down.

What HELM does

We build gold sets and synthetic test data, characterize failure modes, and run repeatable evaluations so a system's readiness is a measured number with its limits stated.

You get

• Gold sets and labeled test data
• Failure-mode analysis
• Repeatable evaluation harness
• Readiness report with limits

The problem

Distributed missions need coordination software that keeps operator intent and degrades gracefully, before any platform is chosen.

What HELM does

A hardware-agnostic decision layer for planning, allocating, monitoring, and adapting multi-agent operations, developed and tested in simulation first.

You get

• Task allocation and replanning
• Scenario simulation and testing
• Operator oversight interfaces
• Traceable mission logs

The problem

Photonics, sensing, and imaging programs generate data that needs modeling, reconstruction, and analysis to become a result.

What HELM does

We own the software side of hardware programs: physical models, reconstruction and analysis pipelines, and evaluation, working beside labs, universities, and manufacturers.

You get

• Physics-informed models
• Reconstruction and analysis pipelines
• Measurement data reduction
• Validation against test records