Leverage data, optimize workflows
From customer support queries with voice-activated chatbots to fraud detection in banking and self-teaching autonomous mobile robots, machine learning has the potential to make the systems we use smarter, without the need for direct programming.
Fresh’s machine learning consultants, developers, and engineers provide a full-service approach to understanding your unique use case, recommending the most effective technology stack, and integrating the solution if you need it. Our differentiation lies in the confidence we give our clients and partners: every aspect of creating your machine learning solution is handled under one roof.
End-to-end ML services
Study the problem: Define business goals, choose your platform and tools, scope out the work, and choose optimal hardware and embedded systems.
Explore and analyze your data: Research current techniques and pre-trained models, begin data science development, and identify your ideal Cloud tools.
Conduct data preparation and modeling: Select your Cloud platform, construct data pipelines, and account for storage and integration needs.
Design the solution: Design the user experience, create visuals, establish information architecture, build in security measures and test your prototype.
Get Support with on-going maintenance: Receive guidance on how to continue scaling your system, with ongoing support from the Fresh team.
Fresh ML expertise: Project Bonsai & Moab
Fresh developers and engineers have deep experience working with Microsoft’s Project Bonsai solution, which enables engineers without a background in data science to apply their subject matter expertise and accelerate the development of intelligent control systems in the real world. We partnered with Microsoft to design Moab: a ball-balancing robot that showcases the power of this AI solution and equips engineers with a tool to experiment with Bonsai’s power and understand its impact on the fields of AI and Machine Learning.
Creating a robot powered by Bonsai required Fresh designers, developers, and engineers to combine computer vision, artificial intelligence, and hardware design into one solution. We’re happy to extend that expertise to future clients looking for a novel solution to their unique use case.
Our data science and machine learning services
Expertise in best-in-class machine learning technologies
A key Fresh differentiator is that we’re technology and platform agnostic. Some ML solutions share the same tech stack, but each challenge is unique, and we never take a one-size-fits-all approach. Explore the technology we use. We’ll help you identify the best combination during our engagement.
TensorFlow's ecosystem of tools allows engineers to build, deploy, and scale various machine learning-based applications like computer vision, object detection, language modeling, and voice.
Microsoft Project Bonsai
Bonsai helps engineers scale their industry expertise while confidently deploying and managing explainable solutions, from wind turbine optimization to continuous machine calibration.
AWS IoT Greengrass
AWS IoT Greengrass allows engineers to run ML inference capabilities on connected devices securely. Greengrass also extends AWS to edge devices to act locally on the data they generate while still leveraging the cloud.
The AWS platform scales dynamically based on each system’s needs, offering computing, storage, analytics, infrastructure as a service.
Azure IoT Edge allows businesses to move cloud-based workloads to their network's edge. Fresh developers and engineers can help you deploy artificial intelligence, Azure, and third-party services into IoT.
Microsoft Azure is a powerful cloud infrastructure solution that provides a quick and effective way to deploy solutions across various languages, including .Net, PHP, Java, Node.js, and Python.
Related software capabilities
Explore our other development services, which allow our team to solve challenges for your organization and others, regardless of size, industry vertical, or product category.