Machine Learning consulting service, led by 1-2 expert ML Engineers, focuses on assessing the suitability of AI for clients’ unique business challenges. We provide personalized guidance, emphasizing a transparent project roadmap to empower clients with a clear understanding of AI’s applicability and potential impact on their operations.
Machine Learning Consulting Services
While Artificial Intelligence is on the hype, Exposit helps businesses assess whether this technology may benefit a company and deliver measurable and meaningful results, but not adopt it just for the sake of use. We also consult on the existing ML projects and guide on implementing them at a high quality level, on time and budget. You get awareness of the viability and cost-effectiveness of a software project idea, a detailed roadmap for the development, and assurance that resources spent won’t go to waste.
Nowadays, the tech market offers a variety of solutions and promises explosive business growth. We are here to help you choose the most effective and modern technologies and use innovations with confidence.
Ensure that ML implementation of your business idea is the most cost-effective option. Find out if development is feasible at your infrastructure to avoid project collapse.
Hire a Machine Learning consultant with vast experience in diverse projects from the Healthcare to the Construction field and relieve the costs of employing a highly paid full-time specialist.
Get a comprehensive project plan with several options for implementation as well as a thorough timeline and budget breakdown. Our specialists provide all the documentation necessary for a smooth development launch.
Companies Across Diverse Industries Rely on Exposit
Whichever industry your company is in, we consider the software solution compliance with all necessary regulations while creating a development plan.
Also, you can trust us with your sensitive data and be sure it will be protected from unauthorized access.
Components We Consider for the Complete Picture of Future Project
While diving into your project, our Machine Learning engineers carry out an in-depth analysis of the following aspects:
Data
Examining the relevance, quality, and quantity of the existing data, and preparing it to ensure that trained model will provide predictions for the customer’s task with high accuracy and reliability.
Models
Investigating your goals, exploring the best way to achieve them, and choosing a set of tools for project implementation.
Infrastructure
Understanding the conditions where ML solution should operate, devices and systems, to assess that the project can be implemented.
Regulatory Compliance
Considering industry privacy and security standards, like HIPAA in the Healthcare sector and GDPR in Fintech, to ensure user data that AI algorithms process is protected.
Our Machine Learning Consulting Services
Our ML consulting services cover every step of your journey, ensuring your solutions are effective and aligned with your goals. Here are the key services we offer:
Python
OpenCV
TensorFlow
PyTorch
Keras
Scikit-learn
CVAT
Git
DVC
Weights & Biases
Google Cloud AI Platform
Amazon SageMaker
Microsoft Azure ML
HuggingFace
NVIDIA Triton
Torch Serve
Crew AI
Docker
Airflow
MLFlow
Jupyter Notebooks
Google Colab
GitHub
DIET (Discovery, Ideation, Experiment, Transformation) is our structured and thorough approach to Machine Learning. This methodology ensures an in-depth exploration of project feasibility, a strategic selection of tools, meticulous testing, and the seamless integration of solutions.
By adopting DIET, we prioritize a robust understanding of the project’s potential, carefully select the most suitable tools for software development, subject the solution to rigorous testing, and ensure a smooth integration process.
Discover and define uncertainties
Explore and design solution
Deliver a prototype and test the hypotheses
Evolve and scale
We offer a variety of flexible ways to work together, allowing clients to choose the one that fits their needs best. Our approach can adapt to different preferences and the nature of each project. This means you can customize how we collaborate to suit your unique requirements.
In client-led engagement, clients build their team, including ML Engineers, Data Engineers, BAs, and others, as needed. There’s no dedicated Project Manager (PM); the client leads and manages the team’s efforts.
In the project format, a comprehensive team includes ML Engineers, Data Engineers, BAs, QA experts, and DevOps specialists. A dedicated Project Manager (PM) leads the team, ensuring efficient execution, meeting timelines, and maintaining quality control during Machine Learning Software Development.
Why Choose Exposit
Our well-defined roadmap ensures clarity, quality, and speed, aligning expectations and explaining the workflow and associated investments to clients.
We offer expert consultations to help clients understand how AI can enhance their business and determine if AI is a necessary component for their specific needs.
With extensive experience working with complex visual data, we bring a unique skill set to tackle challenging visual analysis tasks.
Founded
In-house employees
Completed projects for SMBs and Enterprises
Own CV-based product released
They have hands-on project management that provides daily communication. The team also provides stable project teams.
James Pursaill
CTO, Plend
Exposit’s specialists welcome a challenge, and they don’t look for easy solutions. While it is customary for consultants to completely dismiss the work you have already done and propose a solution of their own, the Exposit team took the more difficult approach of taking what we had and making it better.
Rada Ryzhykava
Head of Department & Product Owner, Bamboo Group OÜ
Exposit has been our development partner for more than 3 years. They are doing a great job developing our digital platforms that are helping millions of refugees all over the world.
Alexander Bugge
COO, REFUNITE
View more proven positive testimonials from clients across different industries, with various projects’ complexity and expertise.
Contact us and explore Exposit Machine Learning Consulting Services. Share your project details and objectives with our team.
Our experts will schedule a meeting to discuss your project in-depth. We’ll explore how AI can benefit your company and answer any questions.
After the consultation, we’ll provide you with a detailed project cost estimate tailored to your needs.
Once you’re satisfied with the estimate and plan, we’ll begin working on your project, keeping you informed and involved at every stage for a successful outcome.
How can Machine Learning benefit your business?
Machine Learning can help automate tasks, improve decision-making, predict trends, and personalize customer experiences, making your business more efficient and competitive.
How long does a typical Machine Learning consulting project take?
The duration varies depending on the project’s complexity, but most consulting engagements range from a few weeks to a few months.
What types of companies use Machine Learning consulting services?
Businesses of all sizes and industries, from startups to large corporations, use ML consulting to solve problems, improve processes, and drive innovation.
How do we integrate the ML solution with your legacy systems?
We work closely with your team to ensure the ML solution smoothly integrates with your existing systems, using APIs, custom connectors, or other methods that suit your infrastructure.
What’s the difference between ML consulting and ML development services?
ML consulting focuses on strategy, planning, and recommendations, while ML development involves building and implementing the actual solutions.
How much does an ML consultant cost?
The cost depends on the project’s scope and complexity, but our services are designed to be flexible and scalable to fit different budgets.