
Meet Healthee—your intelligent healthcare navigation platform.
Healthee takes the guesswork out of healthcare by transforming complex benefits into clear, personalized answers—instantly. Employees can seamlessly navigate their existing health plans with on-demand guidance for every healthcare and benefits question, whenever they need it.
At the center of the experience is Zoe, Healthee’s AI-powered Personal Health Assistant. Zoe delivers tailored, easy-to-understand insights about coverage, costs, and care options—helping employees make smarter healthcare decisions that reduce unnecessary spend and improve outcomes.
No more confusing benefits documents.
No more long wait times to speak with a healthcare representative.
With Healthee, everything employees need to understand and use their benefits is available in one intuitive, mobile-first experience.
Smarter Decisions During Open Enrollment
Healthee simplifies open enrollment with side-by-side plan comparison tools that help employees choose the right plan based on their needs, usage, and expected costs. By guiding employees to better-fit plans, Healthee reduces over-insurance, minimizes surprise expenses, and drives meaningful cost savings for both employees and employers.
Built for HR - and the CFO
Healthee’s AI-driven benefits administration technology delivers fast, accurate responses to employee questions, significantly reducing HR workload while boosting benefits utilization and employee satisfaction.
For finance leaders, Healthee goes beyond engagement. Claims analytics and insights provide visibility into healthcare spend, utilization trends, and cost drivers - empowering CFOs and benefits leaders to identify savings opportunities, optimize plan design, and make data-backed decisions to control rising healthcare costs.
The result:
-Lower healthcare spend.
-More confident employees.
-A smarter, more cost-effective benefits strategy—powered by Zoe AI for benefits managers.
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Streamline everything from proof of delivery and real-time driver tracking, through to route optimisation and customer updates. Save time, reduce operating costs, and boost productivity with Detrack.
Integrations
Integrate with the best accounting and SMS platforms. From order creation through to proof of delivery, everything works together seamlessly - orders sync automatically, customers get notified instantly and drivers receive jobs in real-time.
Test drive all features for free
It only takes a few minutes to add your drivers, upload or create jobs and start branding your customer comms. Our free trial gives you access to all features for 14 days. We know that there aren’t enough hours in the day and our experts are available 24/5 to help you get set up to achieve your goals faster. You can chat live or book a call back for practical, hands-on support.
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Model Predictive Control Toolbox
The Model Predictive Control Toolbox™ provides an extensive array of functions, an easy-to-use app, Simulink® blocks, and useful reference examples to streamline the development of model predictive control (MPC) systems. It effectively addresses linear problems by allowing the development of implicit, explicit, adaptive, and gain-scheduled MPC approaches. For more intricate nonlinear situations, users can implement both single-stage and multi-stage nonlinear MPC. Moreover, this toolbox comes equipped with deployable optimization solvers and allows for the incorporation of custom solvers as needed. Users can evaluate the performance of their controllers through closed-loop simulations within MATLAB® and Simulink environments. In the context of automated driving, the toolbox offers blocks and examples that comply with MISRA C® and ISO 26262 standards, which facilitates the rapid start of projects related to lane keeping assistance, path planning, path following, and adaptive cruise control. It enables the design of implicit, gain-scheduled, and adaptive MPC controllers that can solve quadratic programming (QP) problems while also facilitating the generation of explicit MPC controllers based on implicit designs. Furthermore, the toolbox accommodates discrete control set MPC for addressing mixed-integer QP challenges, thus expanding its versatility for various control systems. With its rich set of features, the toolbox guarantees that both beginners and seasoned professionals can successfully apply advanced control strategies in their projects. This versatility ensures that users across multiple domains can find relevant applications for their specific needs.
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Waymo
Waymo, a leader in the realm of autonomous driving innovation, is dedicated to creating self-driving cars and providing completely driverless transportation solutions. Originally initiated as Google's self-driving vehicle project in 2009, it has transformed into an independent subsidiary of Alphabet with the goal of improving safety, accessibility, and efficiency in transportation through autonomous technologies. At the heart of its operations is the Waymo Driver, a complex system that combines artificial intelligence, high-resolution cameras, radar, lidar sensors, and detailed digital maps to enable vehicles to perceive their surroundings and navigate roads independently. This advanced system continuously assesses traffic signals, pedestrians, other vehicles, and road conditions to make prompt driving decisions that prioritize the safety of all road users. Before venturing into new geographic areas, Waymo conducts thorough mapping, gathering intricate data about lane markings, signage, and intersections, which is then integrated with real-time sensor inputs to maintain precise vehicle positioning. This meticulous methodology not only boosts the effectiveness of its technology but also guarantees a dependable and safe travel experience for passengers. Moreover, Waymo's commitment to innovation continues to drive advancements in how urban transportation could evolve in the future.
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