Portfolio / Enterprise

Product

Human Work

Human expertise. Visible through work.

The company

Human expertise. Visible through work.

Human Work is the future-of-work company in the AI Laboratories ecosystem. Its Human Work Platform brings subject matter experts, simulation creators, workers, and human stewards together to build realistic work environments, practice and assess tasks, and preserve attributable evidence of human contribution. Personal IP Packets connect work context, skills, decisions, stated rationale, corrections, artifacts, and review to explicit permissions. The company is developing a simulation-led pathway from human expertise to organizational learning and permissioned research.

The problem it addresses

Resumes and final outputs often miss how people make decisions, apply tacit knowledge, correct mistakes, and contribute to shared work. Organizations need evidence they can interpret, while contributors need clear attribution and control over authorized uses.

Capabilities

What Human Work brings.

Create the work environment

SMEs define tasks, constraints, tacit cues, and exceptions; creators turn approved work models into interactive scenarios.

Perform and review work

Workers practice or complete bounded assessments. Reviewers interpret evidence against stated criteria, with corrections and contestability.

Govern the session

Human stewards monitor incidents, approve interventions within their authority, and review remediation before re-entry.

Preserve personal IP

Versioned Personal IP Packets connect contributions and artifacts to attribution, review evidence, and separate inspection, sharing, and reuse permissions.

Illustrative application

Human Work in context.

An enterprise and an SME define a quality-inspection task. A creator builds the scenario; workers practice or complete an assessment; reviewers and stewards evaluate decisions and interventions. Personal IP Packets preserve the resulting contributions and permissions.

A practical starting point

  1. Choose one job family and a bounded task, such as incoming quality inspection, and define its intended use.
  2. Have an SME and creator author and review a simulation, including task logic, evidence capture, and operating rules.
  3. Run a supervised cohort, review decisions and corrections, and assemble Personal IP Packets and organizational findings.
  4. Consider a separate, permissioned export to Syntelos Data Bank for a named retrieval, evaluation, research, or licensing purpose.

What to evaluate

  • Fidelity of the work model and usefulness of the evidence
  • Traceability from a contribution to its reviewer and source
  • Separation of practice, assessment, and later reuse permissions
  • Enforced intervention authority and independent re-entry review
  • Clear limits on simulation fidelity and physical-AI transfer

The intended outcome

Reviewable evidence of human skill and judgment, reusable work environments, and a permissioned path toward organizational learning and research.

This application describes product direction and an evaluation approach, not a completed customer deployment or independently validated performance.

Inside the company

Products and research.

Intellectual property

Technology foundations.
Proposed applications.

View all 4 records

These records connect the company’s product and research to the Spyris patent-license portfolio. Proposed applications require final claim mapping and an approved rights path; they are not patents owned by Human Work or evidence of an executed sublicense.

Proposed technical applications · underlying license portfolio: Spyris Holdings
PatentProposed useRelationship
US 10,042,928
Policy Engine
Potential policy/rule logic for governed work sessions and evidence use. The Spyris license is partially exclusive and field-limited to rule-ontology generation for command-line-interface coding and policy-automation applications; applicability to this product requires claim and field-of-use review.Proposed application
License portfolio: Spyris
US 9,754,020
Word pair relevancy
Proposed word-pair relevance methods for matching task language to skills and work evidence.Proposed application
License portfolio: Spyris
US 10,242,090
Document-to-keyword relevancy
Proposed document-to-keyword relevance methods for retrieving authorized task and Personal IP Packet evidence.Proposed application
License portfolio: Spyris
US 8,799,339
SAGA · set similarity
Proposed set-similarity methods for matching skills, contribution records, and work opportunities.Proposed application
License portfolio: Spyris

Connected ecosystem

Where the capabilities meet.

Explore the complementary companies that connect Human Work to the wider product journey.

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