Explore top machine learning consulting companies helping enterprises build, deploy, and scale ML solutions for real business impact.
Machine learning (ML) consulting companies are essential partners for businesses. Specifically, for those who want to use the capabilities of artificial intelligence.
Typically, machine learning helps in automating complex processes, also delivering highly personalized services.
For that reason, in this blog, we will explore the top 10 machine learning consulting companies in 2025. We will also look into how they are helping businesses of all sizes build a data-driven future with ML consulting services.
A machine learning consulting company is a specialized firm. It helps businesses design, set up, and roll out custom machine learning models. It also assists with AI-powered solutions to work through specific challenges. In addition, they supply the strategic guidance, data science skills, and engineering capabilities needed.
Unlike general IT consultants, ML consulting companies have deep knowledge in certain areas. These include predictive analytics, natural language processing (NLP), computer vision, and generative AI. Machine learning consulting firms work with a client's unique data. Then, they train, test, and check on models that deliver accurate and reliable outcomes.
Moreover, their work often involves coming up with advanced algorithms. These can be used for tasks such as fraud detection, customer churn prediction, and demand forecasting.
The ML consulting market is diverse. It is made up of both global firms and smaller specialists. To identify the leading firms, we looked at them based on a set of key points. These points reflect the main benefits of partnering with an expert consultancy. Here is how we went about our selection:
Entrans is a top machine learning consulting company and product engineering firm.
With strong attention to Deep Learning, Machine Learning, and Generative AI, Entrans targets clients with high-value problems. These clients require elite engineering talent and in short, it shows that they deliver a superior level of skill and impact.
Our company’s agile and specialized nature allows it to give something larger, more generalized firms cannot.
Our top machine learning company can give a deep, specific partnership dedicated to solving the most difficult machine learning problems with speed and precision.
For businesses that want to lead their market with custom-built AI solutions, Entrans is one of the best Machine Learning Consulting Companies, with strategic and technical ability to turn ambitious ideas into reality.
At Entrans, we’ve even launched our own AI agent that automates email replies, call scoring, customer support, and even CRM updates.
What makes our AI platform different? It allows us to have visibility on ALL sales calls with automated call scoring. Thunai utilizes multimodal RAG (Retrieval-Augmented Generation) - for our email, voice, and chat agents, we utilize Raptor retrieval to get data from vectors in nodes stored on MongoDB.
We built our AI agent from POC to product launch in under 6 months!
What’s more, Thunai EVEN won product of the day on Product Hunt with 1300+ followers (the product clearly speaks for itself).
With AI Voice, Chat, and Email agents among several other functionalities like screenshare voice agents and revenue AI, Thunai already has enterprise clients and is in the process of onboarding Fortune 500 MNCs.
Reach out for a free 30-minute call. See how Entrans can help you add Machine Learning to your enterprise!
As the professional services arm of the technology company IBM, IBM Consulting has a unique value. This machine learning consulting firm has global consulting capabilities that are deeply connected with a powerful, proprietary technology stack.
Founded in 1991, the firm uses over a century of IBM's innovation. This helps clients with tech-led business changes.
Their machine learning development services are often connected with IBM's hybrid cloud platform and its renowned AI products, most famously IBM Watson. For this reason, they are a natural choice and one of the best machine learning consulting companies already invested in the IBM ecosystem.
DataRobot is a developer and leader in the field of automated machine learning (AutoML). Founded in 2012, the company came up with a powerful platform. It was designed to make data science more accessible and to automate the entire ML lifecycle.
Their business is clearly centered on this AI platform. In line with this, their professional services are structured to help clients accelerate value and successfully adopt the technology.
DataRobot is one of the top machine learning services companies for businesses looking to equip their internal data science teams with a modern toolset.
With a notable history as one of the first companies to launch an app on Apple's App Store, Leeway Hertz has since evolved. This AI and machine learning company grew from a mobile application specialist into a broad-based software development consultancy.
They position themselves as a single source for development in AI, Web3, and IoT. This machine learning consulting company ended up serving a wide range of industries with custom solutions.
Code District is an AI-first digital transformation company with expertise in machine learning development. The company helps startups, scaleups, and large enterprises automate mundane tasks and gain insights from their data.
Code District has over 200 talented developers who specialize in building machine learning solutions using computational intelligence, pattern recognition, and predictive analytics.
Since its inception in 2017, Code District has impacted diverse industries, including healthcare, finance, and manufacturing.
Its strong portfolio, affordability, and client testimonials position it among the top machine learning consulting companies in the USA.
Deloitte is a known advisor to nearly 90% of the Fortune Global 500. Within its large consulting practice, Deloitte has set up a dedicated and advanced AI and Analytics service line.
Their method is strategic. This machine learning consulting guides businesses through a complete journey. This journey goes from initial AI readiness and experimentation to full-scale adoption and sustained competitive advantage. All the while, it has a strong attention to building Trustworthy AI making it one of the top machine learning consulting companies to work with.
Accenture is a global professional services firm. They are one of the top machine learning consulting companies centered on large-scale business change and digital reinvention.
With a large global workforce, this machine learning consulting company recently made a notable strategic change. It moved toward an AI-centered growth model. As part of this, it created a new, connected business unit called Reinvention Services.
This move shows their commitment to helping the world's leading companies get through the age of AI. They are moving beyond a simple setup to become a long-term strategic partner in value creation.
Veritone is a publicly traded machine learning consulting company.
This machine learning consultancy firm gives human-centered enterprise AI solutions built upon its proprietary AI operating system, aiWARE.
The company's business ecosystem is constructed around this foundational platform. In turn, it has pre-built applications and custom solutions for specific industry verticals.
Veritone's work is on helping businesses process and analyze large volumes of unstructured data. They do this particularly in the Media & Entertainment and Public Sector markets. In these areas, they give targeted, high-impact AI tools.
Founded in 2014, InDataLabs is a dedicated data science firm. It is also an AI-powered solutions supplier with its own R&D center.
The machine learning company operates with a small, highly qualified team of over 80 data scientists and engineers. It works to help businesses innovate with AI and use their data effectively.
Furthermore, their accessible pricing and flexible engagement models make them one of the most reachable machine learning consulting companies to work with. This is true for smaller-scale projects, proofs-of-concept, or initial explorations into data science.
With a notable history that goes back to 1989, ScienceSoft is a highly experienced IT consulting and software development company. It was originally a small AI product company. Then, it strategically changed in 2002 to become a broad-based services supplier.
Today, the machine learning consultancy firm gives a full range of IT services. Its AI and ML capabilities are located within a larger, sound Data Analytics practice. A key differentiator is their transparency in pricing. For instance, they have a detailed, interactive cost calculator on their website for complex projects.
Selecting the ideal ML consulting partner is an important strategic decision. With a diverse market of suppliers, here is a guide to help you find the best fit for your needs:
Machine learning consultants will move beyond building simple predictive models. Instead, they will create advanced, agent-like AI systems. These systems can automate complex, end-to-end business processes, from customer service to supply chain management.
The next area of development is multimodal AI. This type of AI can understand and process information from multiple sources at the same time. These sources include text, images, audio, and video.
As a result, machine learning consulting firms will work on building applications that use this holistic understanding. This will lead to richer insights and interactions.
As more models move into production, Machine Learning Operations (MLOps) will become a non-negotiable standard.
Therefore, machine learning consultants will concentrate heavily on building dependable pipelines. These are for continuous training, monitoring, and governance of ML models at scale.
AI platforms will continue to become more accessible. This will allow business users with limited technical skills to build and deploy models.
In turn, deep learning consultants will shift their value toward strategic guidance and problem formulation. They will also put more energy into managing the final stage of complex deployments.
While big data has been dominant, there is now a growing need for new techniques. These techniques work with smaller, more specialized datasets.
Consequently, consultants will increasingly use transfer learning and other methods. This will help them build accurate models without requiring huge amounts of data. This opens up AI to a wider range of problems.
Partnering with a machine learning consultant that is both an expert and an innovator is very important.
Entrain concentrates exclusively on the most advanced, high-impact areas of machine learning. This gives our clients a distinct advantage.
Our team is made up of elite specialists in Generative AI, Deep Learning, and custom model development. We succeed by solving the complex challenges that others cannot.
Ready to build the future with a dedicated AI expert? Book a free 30-minute consultation call!
Machine learning consulting companies present a mix of strategic guidance, data science skills, and engineering capabilities to solve specific business challenges. The services available range from the custom Generative AI development from Entrans to the enterprise AI strategy from Deloitte or the platform-led services of DataRobot.
Artificial Intelligence (AI) is the broad concept of creating machines that can simulate human intelligence. On the other hand, Machine Learning (ML) is a part of AI. It works on building systems that can learn from data and then make predictions or decisions. They do this without being explicitly programmed for the task.
MLOps stands for Machine Learning Operations. It is a set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently. It brings together ML, DevOps, and Data Engineering. The goal is to look after the complete ML lifecycle. This includes model training, deployment, monitoring, and governance.
Yes, outsourcing ML consulting is highly reliable when partnering with firms that have a verifiable track record, from global leaders like Deloitte to specialized experts. The best consultancies present end-to-end service, though the nature of the partnership can vary.
The cost varies greatly. It depends on the complexity, data requirements, and the type of consulting partner. For instance, a proof-of-concept with an agile firm might start at $10,000-$50,000. However, a full-scale enterprise change with a global company can run into the millions. Finally, platform-based solutions often involve six-figure annual subscription fees.
The best machine learning consulting company for custom solutions is Entrans, which stands out for its elite engineering talent and concentration on high-impact Generative AI and custom model development. The landscape also includes global strategic partners like Accenture and Deloitte for large-scale enterprise reinventions, and platform-led specialists such as DataRobot for augmenting internal teams.
Startups and SMBs need important machine learning consulting services like AI strategy consulting to identify high-impact use cases and custom model development that is both accessible and powerful. They benefit most from agile partners with flexible engagement models and transparent pricing.
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