Questions & answers

Get to know Helm.

Intelligence ownership, models, behavioral environments, runtime judgment, Physical AI, and the data that connects them.

What does Helm Labs build?

Helm’s product portfolio spans company intelligence, vertical foundation models, System 1 decision models, behavioral simulation, model and agent evaluation, runtime judgment, Physical AI, physical operations, and a data platform with provenance and custody. These products connect expert knowledge to learning, evaluation, and action.

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What does it mean to own your intelligence?

Connect your company’s knowledge, policies, examples, and outcomes to specialized models and operating systems. Define the data rights, model control, evaluation standards, and deployment requirements for the intelligence your business uses.

Own your intelligence
What are Helm’s vertical foundation models?

Domain models that connect specialist data, knowledge, and task outcomes. Company adaptation and System 1 decision models bring that intelligence into the context and bounded choices of a specific operation.

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What is company intelligence?

Company intelligence connects institutional knowledge, expert decisions, policies, memory, and operating context. It supplies the context and standards that models, agents, and people need to do the work.

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How does behavioral simulation fit into Helm?

Helm simulates people and populations for business research and AI development. Study products, pricing, campaigns, audience segments, employee communications, and market scenarios. Helm also builds behavioral environments that teach and test AI judgment through human interaction, memory, corrections, and recovery. Independent human evidence establishes what each finding supports.

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Does Helm evaluate models, harnesses, and complete agents?

Yes. Compare models, execution logic, tools, memory, and complete agent configurations on versioned tasks. Inspect outcomes, resource use, and failure traces; define independent comparisons when attributing a change to one component.

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How does Helm apply judgment during execution?

Runtime judgment evaluates requests, proposed plans, actions, and results against intent, authority, evidence, and expert standards. Observe recommendations, enable validated corrections, and route decisions for human review when needed. Preserve reasons, versioning, and rollback as models and workflows change.

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What does Helm cover in Physical AI?

Helm connects embodied models, site environments, behavioral simulation, robot policy evaluation, inference, human–robot interaction, and physical operations. Task-level judgment works alongside the system’s sensing, control, and hardware requirements.

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How do people, robots, and agents work together?

Physical operations connects task routing, observations, responsibilities, handoffs, and exceptions. The same task context follows work as it moves between software agents, robot skills, and people.

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How does Helm handle data and custody?

The data platform connects physical observations, human interactions, decisions, and corrections with their provenance. Data access, custody, retention, ownership, permitted use, and training rights are agreed for each engagement. Signed provenance records origin and integrity; validity still requires evaluation.

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How is a company decision model different from Helm Implicit Brain Model?

Company decision models address operational choices using company evidence and standards. Helm Implicit Brain Model is Helm’s research program on brain state and dynamics, with its own architecture, experiments, and open artifacts.

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Are the website demonstrations connected to live systems?

The website’s interactive examples use fictional cases and predefined browser rules. Its motion graphics are conceptual illustrations. They do not call Helm models, process payments, or control robots.

Explore a judgment example
Who uses Helm products?

Helm serves enterprise teams, frontier and neo labs, and robotics and physical operations teams. Engagements connect the relevant products to each team’s models, workflows, data, and operating requirements.

Work with Helm
How do we start working with Helm?

Bring your operation or research objective, existing systems, data requirements, and the outcomes you want to improve. Select the relevant Helm products and define integration, evaluation, deployment, and commercial requirements with the team.

Talk to Helm
What are Helm Digital Twins?

Helm Digital Twins are representations of people, organizations, and physical environments grounded in relevant evidence. Behavioral twins model goals, preferences, and interactions. Organizational twins connect knowledge, workflows, and decision standards. Physical twins represent sites, task state, and human–robot activity. Teams use them for simulation, AI training, evaluation, and operational decisions, updating them as evidence changes.

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What are Forward Deployed Agents?

Helm Forward Deployed Agents are AI agents configured for a customer’s workflows, systems, and operating standards. Helm works with the customer team to connect context and tools, evaluate decisions, and operate within agreed authority boundaries.

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