
BoldIQ
Users with actionable plans for the optimal use of resources to make informed and integrated decisions in real-time.
Date | Investors | Amount | Round |
---|---|---|---|
N/A | €0.0 | round | |
N/A | $2.0m | Early VC | |
Total Funding | 000k |
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BoldIQ is a Bellevue, Washington-based provider of dynamic, real-time resource scheduling and planning software for enterprises. The company was established in 2008, evolving from technology initially developed for DayJet, an on-demand business aviation operator. This origin story is rooted in the experiences of founders like Ed Iacobucci, the former founder and CEO of Citrix, who sought a more efficient solution for managing on-demand air taxi services. Facing the complex logistics of aviation—including flight plans, crew, weather, and safety—Iacobucci assembled a team to build a sophisticated optimization engine. In 2008, a group of investors led by GTD Capital and United Technologies acquired this technology and founded BoldIQ to commercialize it for the broader business aviation market and other verticals.
The company operates on a software-as-a-service (SaaS) model, offering its cloud-based platform, Solver, to industries with complex and dynamic operational needs. While its deepest roots are in aviation, serving fractional ownership, charter, and aircraft management companies, BoldIQ has expanded to support logistics, transportation, and mobile workforce management. Clients include companies like AirSprint, Volato, and Jet Edge International. The firm generates revenue by providing its technology to help organizations increase resource utilization, reduce operating costs, and improve profitability. For instance, users have reported freeing up 30% of their resources and cutting operational costs by up to 25%.
BoldIQ's core product, Solver, is an advanced planning and scheduling platform powered by operations research and operational AI. It tackles complex scheduling problems by holistically considering all business rules, constraints, and goals to produce optimal schedules in real-time. A key feature is its disruption recovery capability, which allows it to rapidly respond to unexpected changes—such as equipment failure or staff absences—and re-optimize schedules to minimize operational impact. Solver integrates with clients' existing ERP or CRM systems to access real-time data on resource availability and service requests. This enables the platform to perform instant availability checks, conduct "what-if" scenario building, and manage resources from a network-wide perspective, ultimately empowering businesses to operate in an on-demand world.
Keywords: operations research, real-time scheduling, on-demand operations, resource optimization, disruption management, aviation logistics, workforce management, fleet optimization, scheduling automation, AI scheduling, operational efficiency, dynamic planning, SaaS, logistics technology, crew scheduling, aircraft management, mobile workforce optimization, constraint-based scheduling, algorithmic scheduling, asset utilization