DriveStrike
DriveStrike is simple to use, implement, and manage. DriveStrike allows you to perform remote wipe, remote lock, or remote locate commands on any platform. Mobile device management MDM for mobile platforms. Integrated drive encryption support. Our support team is available to answer any questions, help you install our services, or manage your account. It's never been easier to protect your data and devices. We are happy to answer any questions you may have or help you understand how to best protect your data. Protect your business with a device- and data protection platform that keeps all devices protected with a single solution. Your Workstations, iPads and iPads, Smartphones as well as Tablets, Tablets, Tablets, and Laptops will be protected, organized, secure, & protected.
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FinOpsly
FinOpsly is an AI-native control plane for managing Cloud, Data, and AI spend at enterprise scale.
Built for organizations operating across multiple clouds and data platforms, FinOpsly shifts FinOps from passive reporting to active, governed execution. The platform connects cost, usage, and business context into a unified operating model—allowing teams to anticipate spend, enforce guardrails, and take automated action with confidence.
FinOpsly brings together infrastructure (AWS, Azure, GCP), data platforms (Snowflake, Databricks, BigQuery), and AI workloads into a single decision and execution layer. With explainable AI agents operating under policy-based controls, teams can safely automate optimization, trace cost drivers to real workloads, and stop budget drift before it becomes a problem.
Key capabilities include:
Business-aware cost attribution across products, teams, and services
Predictive insight into cost drivers with clear, explainable reasoning
Policy-controlled automation to optimize spend without disrupting performance
Early detection and prevention of overruns, inefficiencies, and financial drift
FinOpsly enables engineering, finance, and platform teams to operate from the same source of truth—turning cloud and data spend into a controllable, measurable part of the business.
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SafeBus
SafeBus is a fully self-service SaaS solution designed to streamline the management and tracking of your school buses. By allowing you to concentrate on your students, we handle all the complexities associated with transportation. You can now dedicate your efforts to achieving academic success while we manage the administrative burdens of bus operations. With features such as real-time tracking, notifications, trip history access, and dedicated apps for parents and drivers, SafeBus is tailored for convenience. Enjoy the freedom of a zero-investment model with no hardware costs and a pay-as-you-go pricing structure. SafeBus provides an effortless way to oversee your expanding fleet from your school, eliminating the need for numerous phone calls and complicated spreadsheets. We equip your institution with the necessary tools, software, and expertise for a seamless fleet management experience. Simplifying school bus management has never been easier, allowing you to focus on what truly matters—your students' education.
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Model Predictive Control Toolbox
The Model Predictive Control Toolbox™ offers a comprehensive suite of functions, an intuitive app, Simulink® blocks, and practical reference examples to facilitate the development of model predictive control (MPC) systems. It caters to linear challenges by enabling the creation of implicit, explicit, adaptive, and gain-scheduled MPC strategies. For more complex nonlinear scenarios, users can execute both single-stage and multi-stage nonlinear MPC. Additionally, this toolbox includes deployable optimization solvers and permits the integration of custom solvers. Users can assess the effectiveness of their controllers through closed-loop simulations in MATLAB® and Simulink environments. For applications in automated driving, the toolbox also features MISRA C®- and ISO 26262-compliant blocks and examples, allowing for a swift initiation of projects related to lane keep assist, path planning, path following, and adaptive cruise control. You have the capability to design implicit, gain-scheduled, and adaptive MPC controllers that tackle quadratic programming (QP) problems, and you can generate an explicit MPC controller derived from an implicit design. Furthermore, the toolbox supports discrete control set MPC for handling mixed-integer QP challenges, thus broadening its applicability in diverse control systems. With these extensive features, the toolbox ensures that both novice and experienced users can effectively implement advanced control strategies.
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