10 Top Machine Learning Consulting Companies in 2025

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.

What are Machine Learning Consulting Companies?

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. They 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. 

How We Selected the Top Machine Learning Consulting Companies

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:

1. Depth of Technical Skill and Specialization
   The best firms have top-level talent in data science and ML engineering. They also have specialists in AI fields like generative AI or computer vision. As a result, we looked for companies with a proven ability to solve complex problems. We also looked for a portfolio of successful, real-world deployments.
   
2. Access to Advanced Technologies and Platforms
   Leading consultants are proficient with modern ML frameworks like TensorFlow and PyTorch. They are also skilled in cloud platforms such as AWS, Azure, and GCP. In some cases, they have their own proprietary AI platforms. These platforms can speed up development and improve model performance.
   
3. Proven Methods and End-to-End Service
   Top-tier companies give a complete service lifecycle. This starts with initial strategic roadmapping and data readiness checks. It then moves on to model development, MLOps, and ongoing support. Therefore, we selected firms with mature, well-defined processes for delivering reliable and scalable solutions.
   
4. Industry-Specific Knowledge and Use Cases
   Effective ML solutions are not one-size-fits-all. Because of this, we prioritized firms with deep experience in specific industries, such as finance, healthcare, or retail. These firms also have a clear understanding of the unique challenges and data compliance requirements of those sectors.
   
5. Client Satisfaction and Verifiable Track Record
   A history of delivering real business value is important. So, we took into account client testimonials, case studies, and reviews on trusted B2B platforms. This helped us gauge each firm's reliability, communication, and ability to deliver on its promises.
   

10 Top Machine Learning Consulting Companies

1. Entrans

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.

The company’s agile and specialized nature allows it to give something larger, more generalized firms cannot. 

This 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 gives the strategic and technical ability to turn ambitious ideas into reality.

Key Services of Entrans:

• Generative AI Development: Entrans specializes in building and fine-tuning large language models (LLMs). Furthermore, they develop custom applications using technologies like ChatGPT. This helps to create advanced chatbots, content generation tools, and intelligent automation solutions.
  
• Deep Learning Solutions: The firm develops complex neural networks for advanced use cases. These include image recognition and natural language understanding. They also deal with predictive modeling. Essentially, they take on challenges that require intricate, multi-layered data analysis.
  
• Custom Machine Learning Model Development: Entrans works closely with clients to build ML models from the ground up. These models are designed for their unique datasets and business objectives for maximum accuracy and impact.
  
• AI Strategy and Consulting: They give expert guidance on defining AI roadmaps and identifying high-impact use cases. They also assist with building the foundational data systems needed to back up a successful, company-wide AI program.
  
• Data Science and Visualization: Their team of data scientists excels at looking into complex datasets and extracting meaningful insights. They also create intuitive data visualizations and dashboards. These tools empower business leaders to make informed, data-driven decisions.
  
• Expert-Led Project Engineering: Entrans gives access to elite, senior-level engineers. These professionals can lead and carry out complex technology projects. This supports high-quality delivery and strategic alignment from start to finish.
  

2. IBM Consulting

As the professional services arm of the technology company IBM, IBM Consulting has a unique value. It 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 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 for enterprises already invested in the IBM ecosystem.

Key Services of IBM Consulting:

• Their AI Services practice works on co-creating solutions with clients. It uses the IBM Watson platform to design, build, and operate innovative business processes.
  
• Additionally, IBM Consulting gives business strategy and cloud consulting. It helps clients modernize their applications and systems on an open hybrid cloud platform.

3. DataRobot

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 an ideal partner for businesses looking to equip their internal data science teams with a modern toolset.

Key Services of DataRobot:

• DataRobot's consulting services are platform-led. For example, they have Quickstart programs designed to take clients from idea to deployment in under 90 days.
  
• They also give hands-on Execution services. In these, their experts handle the development and deployment of custom-built predictive or generative AI applications on the DataRobot platform.

4. LeewayHertz

With a notable history as one of the first companies to launch an app on Apple's App Store, LeewayHertz has since evolved. It 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. They end up serving a wide range of industries with custom solutions.

Key Services of LeewayHertz:

• The company gives end-to-end AI & ML services. This covers everything from initial AI consulting and strategy to ML model engineering, data engineering, and MLOps.
  
• Besides this, they have extensive development services in Web3 and Blockchain. They bring skill in platforms like Ethereum, Hyperledger, and Solana.

5. Deloitte

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. It 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.

Key Services of Deloitte:

• Deloitte's Al and Analytics practice gives enterprise Al strategy, data modernization, and governance services. This is done to prepare businesses for successful AI use.
  
• They also specialize in designing and scaling human-focused AI solutions, including Generative AI. At the same time, they establish sound risk controls and manage business change.

6. Accenture

Accenture is a global professional services firm. It is centered on large-scale business change and digital reinvention.

With a very large global workforce, the 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.

Key Services of Accenture:

• Accenture's services take care of the entire AI lifecycle. This includes foundational work in cloud and data systems. It also includes the development of specific AI applications and large-scale managed services.
  
• The company is also seeing high demand in Generative AI. For instance, it reported over $1.5 billion in GenAI bookings in a single quarter. This shows their capability to deliver on large, strategic AI initiatives.

7. Markovate

Founded in 2015, Markovate is a digital product development company. It specializes in creating AI, Web3, and mobile solutions for Small and Medium-sized Enterprises (SMEs).

With attention to delivering real business results, the firm has built up a track record of over 300 successful projects. These are for clients that include major brands like Ford and AT&T.

Their accessible pricing and deep technical skill in AI and computer vision make them an attractive option. They appeal to companies with defined project budgets that are looking for a high-value development partner.

Key Services of Markovate:

• Markovate's main services are based on AI Development and AI Consulting. Indeed, they have a demonstrated ability to shorten client operational timelines through intelligent automation.
  
• They also have agile development in Web3 and Blockchain. This helps SMEs look into and set up decentralized technologies alongside their AI initiatives.

8. Veritone

Veritone is a publicly traded company. It 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.

Key Services of Veritone:

• Veritone has platform-led solutions. For example, Digital Media Hub for media asset management. Another is Redact, for automating sensitive information removal in evidence for law enforcement.
  
• In addition to ready-made applications, they give custom AI development and managed services. They do this by building unique solutions for clients that use the aiWARE platform as the core technology.

9. InData Labs

Founded in 2014, InData Labs is a dedicated data science firm. It is also an AI-powered solutions supplier with its own R&D center. 

The 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 firms. This is true for smaller-scale projects, proofs-of-concept, or initial explorations into data science.

Key Services of InData Labs:

• Their main services include AI/ML Strategy & Consulting. They also include custom model development and Generative AI solutions.
  
• The firm also has a strong attention to data-centric services. This includes Natural Language Processing (NLP) and Big Data Analytics. The goal is to help clients automate processes and enrich customer insights.

10. ScienceSoft

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 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.

Key Services of ScienceSoft:

• ScienceSoft's Data Analytics practice gives services in Business Intelligence (BI), data science, and big data solutions. This is in addition to AI and ML consulting.
  
• The company also gives a unique and transparent cost calculator for BI solutions. A basic setup ranges from $80,000 to $200,000. Advanced solutions can cost upwards of $400,000.

How to Choose the Right Machine Learning Consulting Company for Your Business

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:

1. Match the Partner's Scale with Your Project's Scope
   First, decide if you need a global partner for a company-wide change, like Accenture or Deloitte. On the other hand, you may need an agile specialist, like InData Labs or Markovate, for a specific, fast-moving project. Mismatching scale is a common problem.
   
2. Assess Their Core Business Model
   Next, you should understand if you are partnering with a service-based consultancy or a platform-led company like DataRobot. A platform-led model can be powerful. However, it may lead to being locked in with one vendor. For this reason, you should consider the long-term total cost of ownership, including subscription fees.
   
3. Examine Their Industry-Specific Skill
   Then, look for a firm with proven success in your vertical. A consultant with experience in healthcare will understand HIPAA compliance. Likewise, one with experience in finance will be skilled in fraud detection models. You should ask for relevant case studies.
   
4. Review Their Method for Data and AI Ethics
   A responsible AI partner should have a clear framework for Trustworthy AI. You should ask about their processes for supporting fairness, transparency, and accountability in the models they build. This will help to lessen bias and reputational risk.
   
5. Compare Pricing and Engagement Flexibility
   Also, make sure the firm’s pricing model fits your budget and purchasing processes. It could be value-based, project-based, or hourly. For example, an agile firm with a fixed-price MVP may be better for a startup than a large firm that requires a multi-year, outcome-based contract.
   
6. Plan for Knowledge Transfer and Internal Upskilling
   Finally, remember that the best consulting engagements leave your team stronger. You should talk about how the firm will transfer knowledge. Also discuss how they will help upskill your internal staff. This helps you maintain and evolve the solutions they build down the road.

Future Trends in Machine Learning Consulting

1. Hyper-Automation with Generative AI

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.

2. The Rise of Multimodal AI

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, consulting firms will work on building applications that use this holistic understanding. This will lead to richer insights and interactions.

3. MLOps as a Standard Practice

As more models move into production, Machine Learning Operations (MLOps) will become a non-negotiable standard. 

Therefore, consultants will concentrate heavily on building dependable pipelines. These are for continuous training, monitoring, and governance of ML models at scale.

4. Accessibility Through Low-Code/No-Code Platforms

AI platforms will continue to become more accessible. This will allow business users with limited technical skills to build and deploy models.

In turn, 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.

5. Increased Attention to "Small Data" and Transfer Learning

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.

Why Choose Entrans as Your Machine Learning Consulting Partner?

As the AI landscape accelerates, partnering with a consultant that is both an expert and an innovator is very important. Entrans is positioned at the front of the AI revolution. It 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!

FAQs for Machine Learning Consulting Companies

What is the difference between AI and Machine Learning?

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.

What is MLOps?

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.

How much does an ML project typically cost?

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.