R&D built for deployment.

We collaborate with stakeholders to frame problems, build rigorous solutions, and deliver through proven distribution channels.

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Approach

  1. Frame the problem with stakeholders

    Work alongside creators, rights-holders, operators, and policymakers to ensure alignment and accountability.

  2. Build models, datasets, and agents

    Design tailored data infrastructure, trustworthy models, and agentic systems ready for real-world use.

  3. Apply in the real world

    Pilot with users, measure impact, and refine workflows so solutions perform within operational constraints.

  4. Deploy and scale through the right channels

    Distribute through APIs, agents, marketplaces, and contract vehicles that unlock reach and compliance.

Current focus

  • Artists’ rights & copyright

    Advance transparent attribution, licensing, and monetization for creative communities.

  • Ethical data availability

    Operationalize data sourcing, consent management, and documentation for safe innovation.

  • Critical datasets: music, media, entertainment

    Curate datasets with rights-aware provenance and actionable annotations.

Representative outputs

  • APIs and agents (sister platform)

    Production-grade endpoints and agentic services that integrate ethics tooling by design.

  • Cloud marketplace listings

    Offerings on platforms such as Google Cloud Marketplace for streamlined procurement.

  • MCP agents & servers

    Deploy in major ecosystems with compliance, logging, and guardrails built-in.

  • Public-sector distribution

    Deliver through contract vehicles such as Carahsoft, aligning with policy requirements.

Ready to scope a responsible AI challenge? We align success metrics, governance checkpoints, and deployment plans from day one.

Propose a challenge