Islandrange
Islandrange provides AI systems and implementation support for mid-market companies, connecting ERP, accounting, CRM, and spreadsheet data so leadership can answer cross-system questions about margin, capacity, risk, and missed revenue. The company builds full-cycle AI solutions and transfers capability to client teams, with outside specialists getting AI into production about twice as often as building alone.
- Artificial Intelligence
- Enterprise Software
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Most mid-market companies are stuck between AI hype and operational reality. Consultants hand over a plan and leave, software vendors fix one narrow problem, and a full-time AI leader is hard to justify at this size. As a result, 95% of organizations get zero return from generative AI, scattered ChatGPT use goes unowned, data lives in disconnected systems, and employees spend time on manual busywork instead of high-value tasks.
Solution
Islandrange provides AI systems and implementation support designed to deliver measurable business results rather than one-time plans. The company identifies the problems worth solving, builds the systems that solve them, and leaves the client team more capable after every engagement. Islandrange connects the ERP, accounting, CRM, and the spreadsheets that really run operations so leadership can finally ask and answer questions about margin, capacity, risk, and missed revenue across all systems. The approach brings in outside specialists, a strategy that gets AI into production about twice as often as building alone.
Target Audience
Mid-market companies that have the budget for AI initiatives but cannot justify a full-time AI leader, and that need outside specialists to move from scattered experiments to production systems.
Features
- Full-cycle AI implementation from problem identification through system building and team capability transfer
- Cross-system data integration spanning ERP, accounting, CRM, and spreadsheet-based workflows
- Focus on operational questions like margin, capacity, risk, and missed revenue that require unified data views
- Hands-on engagement model where the company's operators, not just strategists, build the systems
- Capability-building approach designed to leave client teams more self-sufficient after each engagement