Portfolio and case studies

    Operational AI systems we've built.

    These examples show how TARIY implements AI inside real operating environments, from workflow automation to productized decision systems.

    GrubIQ restaurant operations AI platform logo

    GrubIQ: AI manager for multi-unit restaurant operations

    GrubIQ demonstrates TARIY's authority in AI systems implementation: the product supports labor decisions, throughput optimization, and daily operational response in live restaurant environments.

    Implementation signals: live data integration, real-time operational recommendations, and deployment within frontline workflows.

    DNA AI negotiation simulation platform logo

    DNA: AI negotiation simulation platform

    DNA is an AI-powered training environment for high-stakes negotiation scenarios. It gives teams realistic simulation loops, role-play feedback, and repeatable practice.

    Implementation signals: adaptive simulation logic, operational learning workflows, and deployment for real leadership training use cases.

    NQ

    NiloIQ: AI analytics and decision support workspace

    NiloIQ helps teams move faster from raw information to practical decisions through AI-assisted analysis, recommendations, and workflow support.

    Implementation signals: centralized AI analysis workflows, team-facing decision support, and integration into day-to-day operational planning.

    AILA AI management enablement platform logo

    AILA: AI-enabled internal manager support system

    AILA is positioned as an internal enablement AI system: it helps teams standardize management decision quality through contextual prompts and ongoing support.

    Positioning note: AILA supports TARIY's implementation story when framed as operational enablement, not generic coaching.

    Case study template for future launches

    1. 1. Business context and operator challenge
    2. 2. AI system designed and integrated
    3. 3. Deployment approach and change management
    4. 4. KPI outcomes and lessons learned