We are an advanced analytics software development and consulting company focused on problems at the intersection of operations research (OR), machine learning, and artificial intelligence. We specialize in creating robust prescriptive-analytics solutions to tackle complex business optimization challenges, enhancing decision-making at strategic, planning, and tactical levels.
We develop highly tailored, service-based software solutions that deliver real value quickly and with low integration costs. Additionally, we offer technology and software design consulting services to help companies realize their OR/AI vision, working alongside your existing data science team to enhance their capacity and capabilities.
In our experience, the successful implementation of an off-the-shelf optimization solution is challenging because (1) every business is unique, making it nearly impossible to develop a one-size-fits-all solution, and (2) using such a solution typically requires a costly and lengthy integration process. Our tailored solutions capture all the critical nuances of your business operations, leading to more accurate decisions. However, for standard business problems (e.g., a pure vehicle routing problem), an off-the-shelf solution may be more appropriate. In such cases, our consulting services can still add value by ensuring that the capabilities of your prospective solution align with your business needs and by providing support during the evaluation and integration phases.
Many of the companies we work with already have highly skilled and capable data science teams. Often, these teams are focused on solving traditional ML and data science problems (e.g., forecasting, classification, prediction) that typically feed into a downstream optimization or resource-allocation layer. By integrating our decision engines with your existing AI/ML stack, we can enhance the capabilities of your current team. Additionally, once the value of an optimization solution has been demonstrated using our tailored engines, you can invest more confidently in migrating the solution in-house if you choose to do so.
Our algorithms are meticulously designed to leverage the latest advances in accelerated hardware. By offering our solutions as a service (SaaS), you avoid the complexities and costs of provisioning and maintaining these resources yourself. The SaaS model also enables us to continuously update and monitor the performance of your application, ensuring it always operates at peak efficiency. However, if running on-premises is a critical requirement for your application, we are happy to discuss tailored solutions to meet your needs.
Developing optimization and other advanced analytics applications that deliver tangible value can be quite intricate. Optimization models necessitate precise and timely data for generating actionable recommendations. Moreover, the system must possess sufficient complexity to ensure decisions are meaningful. Additionally, the downstream layer responsible for implementing these recommendations—be it software or human-driven—must have the necessary authority and capability to execute them promptly. To address these challenges, we advocate for an AI/OR product development approach that prioritizes rapid value realization and iterative refinement. We believe in a "fail-fast, value-first" methodology, where the initial solution demonstrates and rapidly captures value using a lightweight implementation. Subsequent investments are then targeted at refining and seamlessly integrating/scaling the solution. This philosophy is embodied in our service-based solutions, which leverage our digital assets and expertise to swiftly deliver demonstrable value. Furthermore, our service-based pricing structure minimizes upfront investment and risk for our clients.
Typically, we offer our solutions as services that seamlessly integrate into your systems via a well-defined API, utilizing a subscription-based pricing model. With this approach, your initial investment is primarily focused on establishing a data pipeline to facilitate data input and retrieval for the service. Additionally, your team commits time to regular meetings with us to discuss requirements, integrate data, monitor progress, and conduct field testing.
