Iris Central app icon

Apps Like Iris Central for iPhone and iPad

by Woodpecker Microsystems LLC★ 5.01 ratingsBusinessFreeData updated 2026-09-06

Ranked alternatives

Showing 61–80 of 1,000 ranked alternatives.

  1. CoiioT app icon

    CoiioT

    Gomathi Chellamuthu

    ★ 0.00 ratingsProductivityFreeData updated 2026-09-06
  2. FieldAlytics Mobile app icon

    FieldAlytics Mobile

    EFC Systems, Inc.

    Manage work orders and scout fields

    Manage agricultural operations with work order creation and tracking, scouting, soil sampling, and data layer viewing. View assigned jobs, complete tasks with compliance checks, and access real-time activity updates.

    ★ 4.031 ratingsBusinessFreeData updated 2026-09-11
  3. MoeGo: Pet Business Suite app icon

    MoeGo: Pet Business Suite

    Moement, Inc.

    Manage customer data and automate pet care

    Manage pet care operations with real-time analytics and automation. Track customer data, schedule appointments, and monitor performance. Generate reports, send reminders, and streamline daily tasks for improved efficiency and customer engagement.

    ★ 4.7287 ratingsBusinessFreeData updated 2026-09-06
  4. SmartTagIt app icon

    SmartTagIt

    FactorLab, Inc.

    Track safety data and improve workflows

    Track workplace safety with real-time data from IoT devices. Conduct digital inspections, generate reports, and monitor compliance. Set alerts for risks and improve team engagement through interactive checklists and analytics.

    ★ 3.820 ratingsBusinessFreeData updated 2026-09-10
  5. OneSoil Scouting: Farming Tool app icon

    OneSoil Scouting: Farming Tool

    OneSoil AG

    Monitor crops, track weather, view field data

    Monitor crop development using satellite imagery and NDVI calculations. Track weather conditions and identify problem areas in fields. Access machinery files and calculate seed and fertilizer rates through the web version.

    ★ 4.8140 ratingsUtilitiesFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.