Top 10 Machine Learning Development Companies

As the AI landscape continues to expand, the demand for expert machine learning development companies has skyrocketed. These companies serve as the architects of tomorrow, crafting innovative solutions that leverage the power of data to drive business growth and efficiency.

A recent study revealed a staggering 39.4% CAGR in global machine learning investment from 2016 to 2026, underscoring the immense potential and rapid adoption of this transformative technology. With the market value projected to reach $90 billion by 2026, it’s clear that machine learning is no longer a futuristic concept but a cornerstone of modern business strategy.

From Netflix’s personalized recommendations to Google’s search algorithms, machine learning has become an integral part of our daily lives. However, harnessing the power of machine learning requires a deep understanding of complex algorithms, data science methodologies, and industry-specific nuances.

This is where top-tier machine learning development companies come into play. They possess the expertise and resources to translate business objectives into cutting-edge AI solutions, tailored to meet the unique needs of each client, and here’s our list of the most reliable ML services vendors in the market.

The list of top 10 machine learning development companies

Neoteric

Founded: 2005

Pricing: from $50/hour

Experience: Neoteric, a Poland-based company, has been active in the machine learning space for over a decade. Their focus on AI and ML application development has led to a strong track record of successful projects.

Expertise: Neoteric specializes in developing AI and ML applications, working on over 50+ projects infused with these technologies. Their goal is to help businesses leverage AI to drive innovation and efficiency.

Major Clients: Siemens, Nestle, 4com, The World Bank, Vectra, Client.io, LunchBadger, Jeppesen, RapidSOS, Appoint.ly, Qoreboard.

Clutch: 5/5

PixelPlex

Founded: 2007

Pricing: $50 – $99/hour

Experience: PixelPlex has a proven track record of success, having completed more than 450 projects for leading corporations. As an experienced machine learning development company, PixelPlex has worked with top-tier clients, including Fortune 500 and Forbes 2000 companies like Intel, Microsoft, Oracle, and BMW. As a result of their exceptional work, PixelPlex has been recognized worldwide as a premier provider of enterprise app development, custom software development, and ML development services.

Expertise: PixelPlex focuses on machine learning, and deep learning, and is also experienced in emerging technologies like augmented reality, mixed reality, the Internet of Things, blockchain, big data analytics, and intelligent AI chatbots as well as IT consulting service. This expertise makes PixelPlex a leader in developing innovative predictive analytics solutions for complex business problems and providing comprehensive digital transformation services.

Major clients: Microsoft, Oracle, BMW, QTUM, Intel, Kakao, FootballNet Global, Swisscom Blockchain, Oman ICT Group, Rio DeFi, Kaikas, LaneAxis.

Clutch: 4.9/5

MobiDev

Founded: 2009

Pricing: $50 – $99/hour

Experience: MobiDev, a seasoned player in the machine learning development space, has consistently demonstrated a commitment to innovation and transparency. With over a decade of experience and a track record of delivering 350+ successful projects, MobiDev has established itself as a trusted partner for businesses seeking cutting-edge solutions.

Expertise: Their team of experienced professionals is well-versed in the latest machine learning and deep learning, natural language processing (NLP), predictive analytics, computer vision development methodologies, ensuring that clients receive high-quality, tailored solutions.

Major clients: Comcash Inc., Secure Group, Just Energy, SMS group, Quality Bridge Inc., CUJO AI, Sublink, GrowthHackers, StayGo.

Clutch: 5/5

SoluLab

Founded: 2014

Pricing: $25 – $49/hour

Experience: SoluLab boasts a strong track record of delivering high-quality machine learning solutions. Their extensive experience across various industries, coupled with their certifications (ISO 9001:2015, ISO 27001:2013, and CMMI Level 3), underscores their commitment to excellence.

Expertise: SoluLab excels in developing custom ML models tailored to specific business needs. Their proficiency in advanced frameworks like TensorFlow, PyTorch, and Keras, combined with their expertise in programming languages like Python and R, positions them as a versatile partner for diverse ML projects.

Major clients: Walt Disney, Goldman Sachs, Mercedes Benz, University of Cambridge, The Cuddle Company, Vibo Vibo, True Water.

Clutch: 4.8/5

Itransition

Founded: 1998

Pricing: $25 – $49/hour

Experience: Itransition has gained a reputation as a reliable machine learning development company with many years of experience in building AI-based solutions. Their expertise in machine learning, data science, big data, and RPA positions them as a well-rounded partner for businesses seeking comprehensive ML solutions.

Expertise: Itransition specializes in creating tailored ML solutions to address various business needs. Their services encompass ML solution design and development, integration, and continuous support.

Major clients: Lloyd’s Register, The Economist, IATA, Maxmed Healthcare, Terumo, Gcore, Waters Corporation, Pepsico, Expedia.

Clutch: 5/5

ScienceSoft

Founded: 1989

Pricing: $50 – $99/hour

Experience: With over three decades of experience in machine learning, data science and AI, ScienceSoft is a seasoned player in the machine learning industry. Their deep understanding of the field allows them to provide comprehensive consulting services and tailored ML solutions.

Expertise: ScienceSoft offers a comprehensive range of software development and IT services, including custom web, mobile, and desktop applications, rapid SaaS and software product development, digital transformation strategies, cloud migration assistance, AI/ML integration, expert IT consulting, etc.

Major clients: eBay, Nestle, Walmart, NASA JPL, IBM, T-Mobile, Baxter, Ford Motor.

Clutch: 4.8/5

Andersen

Founded: 2007

Pricing: $50 – $99/hour

Experience: Andersen has a solid reputation as a trusted IT outsourcing and machine learning solutions provider. Their experience in delivering over 1000 projects successfully showcases their ability to execute complex ML initiatives.

Expertise: Andersen specializes in web application development, blockchain application development, mobile app development services, AI & ML integration solutions that enhance customer support, data analysis, forecasting, and more.

Major clients: Samsung, Centtrip, Ferrari, Paysera, Media Market, BNP Paribas, Ryanair, Swiss Red Cross, TUI.

Clutch: 4.9/5

CXR.Agency

Founded: 2009

Pricing: $100 – $149/hour

Experience: For more than 15 years CXR.Agency specializes in machine learning app development and consulting, helping enterprise companies make informed decisions based on data analysis and visualization. Their team of machine learning experts, data scientists, business analysts, and domain experts works together to solve critical business problems using data-driven insights.

Expertise: Their areas of expertise include data science, data warehousing, data analytics and visualization, cloud migration, elastic solutions, and predictive analytics.

Major clients: Virtual Driver Interactive, MPOWERED Inc, Millennium.

Clutch: 4.8/5

Dash Technologies

Founded: 2003

Pricing: $50 – $99/hour

Experience: Dash boasts 21 years of experience in emerging technologies, including a decade of providing Development as a Service (DaaS). This experience translates to a strong understanding of the evolving ML landscape and its integration with other technologies.

Expertise: Dash offers expertise beyond just ML, encompassing AI, data science, and complementary technologies like IoT and blockchain. This allows them to develop comprehensive solutions that address the full scope of clients’ needs. Their experience in healthcare (HealthTech) and mobile app development signifies their ability to tailor ML solutions to specific industries and platforms.

Major clients: Areazoom, Votenzacrm.

Clutch: 4.9/5

STX Next

Founded: 2005
Pricing: from $55/hour

Experience: Established in 2005, STX Next boasts a rich history of delivering cutting-edge software products. Their deep-rooted experience in the industry allows them to navigate complex challenges and provide tailored ML solutions.

Expertise: With a team of over 300 professionals, including 200+ full-stack Python developers, STX Next possesses a formidable level of expertise in ML development. Their proficiency in various programming languages and frameworks enables them to create robust and scalable models.

Major clients: Blocktrade, Hogarth WW, Pixomondo, IMD Optimad, Wunderman, Vyze, Coras,  KNMP, Paze, Realface, BetBright.

Clutch: 4.7/5

How did we shortlist the top ML development companies?

• Digital footprint: We scoured the internet for companies with a strong online presence. Think blogs, whitepapers, and code repositories. The more breadcrumbs they left, the more we trusted their digital trail.
• Client feedback: We mostly delved into Clutch reviews and testimonials, as well as case studies on companies’ websites to get a firsthand account of their experiences.
• Portfolio deep dive: We dissected their project portfolios evaluating their expertise in ML projects. A diverse range of ML solutions, from image recognition to natural language processing, was a clear sign of their versatility.
• Technical prowess: We didn’t just look at their fancy titles, we analyzed the services they offer, paying attention to how deep their expertise is.
• Industry coverage: Awards, recognition, and industry achievements are the main things we paid attention to.

How to choose a machine learning development vendor

Step 1: Define your goals and requirements

• Clearly articulate your business objectives: What specific problems do you hope ML can solve?
• Identify your data: What kind of data do you have, and is it suitable for ML applications?
• Consider your budget and timeline: Establish realistic expectations for cost and project duration.

Step 2: Research and shortlist vendors

• Look for industry expertise: Seek vendors with experience in your domain or similar fields.
• Evaluate their portfolio: Review their past projects and success stories.
• Check client testimonials: Read reviews from previous clients to gauge their satisfaction.
• Consider vendor size and location: Evaluate whether their size and location align with your needs.

Step 3: Assess technical capabilities

• Machine learning expertise: Ensure the vendor has a strong team of ML engineers and data scientists.
• Technology stack: Verify that their technology stack is compatible with your existing systems.
• Data handling and cleaning: Assess their ability to handle large datasets and clean them effectively.
• Model development and deployment: Inquire about their experience in building and deploying ML models.

Step 4: Evaluate communication and collaboration

• Cultural fit: Determine if the vendor’s communication style and values align with your company’s.
• Project management: Assess their project management processes and tools.
• Transparency and responsiveness: Ensure they are open and responsive to your questions and concerns.

Step 5: Consider data security and compliance

• Data privacy: Understand their data security measures and adherence to relevant regulations (e.g., GDPR, HIPAA).
• Intellectual property: Clarify ownership of the developed models and data.

Step 6: Request a Proof of Concept (PoC)

• Test their capabilities: Ask the vendor to conduct a PoC to demonstrate their skills and approach.
• Evaluate the results: Assess the quality of the output and the insights gained.

Step 7: Negotiate terms and conditions

• Contractual agreements: Review the terms and conditions of the contract carefully.
• Pricing and payment terms: Negotiate fair and transparent pricing arrangements.
• Intellectual property rights: Ensure ownership of the developed models is clearly defined.

Step 8: Ongoing support and maintenance

• Post-deployment support: Inquire about their ongoing support services for model maintenance and updates.
• Scalability: Verify their ability to handle future growth and increased data volumes.

Summing up

By following these guidelines, you can increase your chances of selecting a machine learning development vendor that aligns with your business goals and delivers exceptional results. Remember, a successful partnership requires open communication, collaboration, and a shared commitment to achieving your objectives.

At PixelPlex, with 17 years of experience and 450+ success stories, we’re dedicated to turning your digital vision into reality. Our team of skilled machine learning engineers and consultants will work closely with you to develop cutting-edge solutions tailored to your specific needs. From concept to execution, we provide comprehensive guidance and support throughout the entire process.

Contact us today to discuss your project and learn how PixelPlex can help you achieve your goals.