TOP 10 innovative AI/ML development companies to partner with in 2026

The global AI and ML market is expected to surpass 1 trillion USD by 2030, showing the rapid adoption of intelligent technologies across all industries. Leading AI/ML development companies continue to innovate with new solutions ranging from smart chatbots to automated workflow systems. This article introduces 10 potential partners in the AI and ML field, companies that are shaping the future of intelligent technology in 2026.

1. TMA Solutions

TMA Solutions is one of the long-established software companies in Vietnam. Founded in 1997, the company now has a team of more than 4,000 technology engineers working both locally and internationally. 

TMA Solutions serves clients in over 30 countries and focuses on software development, digital transformation, and especially AI and ML, affirming its position as a leading AI/ML development company in Vietnam.

Core AI/ML offerings:

Below are the main AI and ML services provided by TMA Solutions:

• Develop AI Features and Products: We apply AI to applications, tools and platforms to enhance functions, improve user experience and address specific business challenges.
• Set up AI Development Center: We support businesses in building an AI Development Center that focuses on designing, developing and deploying artificial intelligence technologies.
• Provide AI Solutions: We design and deliver AI solutions that help businesses in multiple sectors solve industry-specific problems and ensure smooth deployment and integration for fast market adaptation.
• AI as a Service (AIaaS): We offer AI capabilities through a service-based model so businesses can use AI without large upfront investment in infrastructure.

Industries served:

TMA Solutions works with many industries, with the most notable including:

• Manufacturing: We deliver AI solutions for defect detection, product classification, equipment data extraction and predictive maintenance.
• Healthcare: We build AI models for medical data analysis, signal detection and customer service support in healthcare operations.
• Telecom and Networking: We apply AI to anomaly detection, incident handling, traffic optimisation and network automation.
• Automotive: We use AI for blind spot detection, driver monitoring, vehicle recognition and smart driving assistance.
• Security and Safety: We provide AI solutions for access control, intrusion detection, behaviour monitoring and fraud prevention.
• E-commerce and Retail: We support retail operations with customer recognition, behaviour analysis, warehouse control and product recommendation.
• Logistics: We apply AI to product counting, packaging inspection, parking monitoring and driver safety support.
• Finance, Banking and Insurance: We develop AI models for credit scoring, automated reporting and insurance claim processing.
• Agriculture: We use AI for pest detection, crop or livestock quality assessment and soil or environment analytics.
• Education and Recruitment: We support education and hiring processes with learning behaviour tracking, course recommendation and CV matching.

Why they stand out: 

TMA Solutions has several strengths that make the company stand out in AI, ML and outsourcing:

• More than 10 years of expertise in AI and data science: TMA Solutions has built a solid foundation in AI and Data Science with over a decade of research and real implementation. The engineering team has deep experience in machine learning model development, natural language processing, computer vision and big data analytics.
• Global presence with customers in more than 20 countries: TMA provides services to clients in the United States, Canada, Japan, Australia and Europe. Working with many markets gives the company a strong understanding of technical requirements, work culture, and business needs in each region, especially in the Asia Pacific market.
• Strong R&D capability and internationally certified team: The company holds more than 150 AI certificates and maintains active research at the TMA Innovation Center in Binh Dinh.
• Proven results with more than 100 AI solutions and projects: TMA has delivered over 100 AI projects across healthcare, finance, logistics, agriculture, education and manufacturing.
• End-to-end solutions with easy integration: TMA AI systems are designed to be flexible, work on both cloud and on-premises environments and integrate seamlessly into existing business infrastructure.

To learn more about TMA Solutions’ AI services and software offerings, visit www.tmasolutions.com, https://www.tmasolutions.ai/  or connect with TMA on LinkedIn for the latest project updates and partnership opportunities.

TMA Solutions provides software and AI solutions across global industries, affirming its position as a leading AI/ML development company in Vietnam.

2. Entrans

Entrans is a technology company based in India that focuses on AI-first product development and data engineering. The company builds products and services powered by artificial intelligence to support full digital transformation through AI platforms, data infrastructure and intelligent automation.

Core AI/ML offerings:

Below are the main AI and ML services offered by Entrans:

• Generative AI consulting and implementation
• Agentic AI framework integration
• AI-driven automation
• Data engineering and advanced analytics
• AI strategy and consulting

Industries served: Entrans works with sectors that have strong demand for AI adoption and digital transformation, including banking and financial services, healthcare and hospitals, e-commerce and retail, manufacturing and supply chain, real estate and asset management, and more.

Why they stand out:

Entrans stands out in the AI and ML field thanks to the following strengths:

• Strong R&D capability: the company has a team of AI and data engineering specialists who focus on building proprietary AI frameworks for enterprise needs.
• Deep understanding of the Asian market: Entrans combines experience from multiple countries with strong knowledge of how businesses in the region operate.
• Complete end-to-end solutions: services cover strategy consulting, product development, system deployment and managed services.
• AI-first mindset: every solution is designed with AI at the core to improve productivity and analytical capability.
• Thunai platform: a proof of Entrans’s ability to turn AI ideas into real commercial products that are ready for enterprise integration.

Entrans develops AI-first platforms that help businesses apply AI, positioning itself as a regional AI/ML development company.

3. BHSOFT

BHSOFT (Bac Ha Software) is a software development company based in Hanoi, Vietnam, founded in 2014. The company specialises in software outsourcing and custom software development for global clients, with a focus on GIS and 3D mapping solutions, AI and ML, and digital transformation.

Core AI and ML offerings:

Below are the main AI and ML services provided by BHSOFT:

• AI development services
• Machine learning development
• Chatbot development
• Computer vision and image processing
• NLP and Generative AI

Industries served: BHSOFT works with sectors that require strong digital transformation, especially GIS and 3D mapping, web and mobile application development and small and medium businesses.

Why they stand out:

 BHSOFT builds a strong position in software development through the following strengths:

• Deep expertise in GIS and 3D mapping: the first company in Vietnam and the Asia Pacific region to receive the Cesium Certified Developer recognition.
• International standards: operates under ISO 9001 and ISO IEC 27001 for quality and security.
• Innovation driven: combines 3D mapping, data, and AI to create practical solutions for businesses.

BHSOFT focuses on software outsourcing and custom AI/ML development, positioning itself as a capable AI/ML development company in Vietnam.

4. Domino Data Lab

Domino Data Lab is a U.S. enterprise AI and MLOps platform company headquartered in San Francisco, empowering large data science teams to build, deploy, govern and scale AI and ML models across the full lifecycle.

Core AI and ML offerings:

Below are the key AI and ML capabilities provided by Domino Data Lab.

• Enterprise AI & MLOps platform
• Model development & lifecycle
• Generative AI capabilities
• Self-serve compute infrastructure
• Governance & compliance

Industries served:

Domino supports sectors with strong AI adoption demand, including life sciences & pharmaceuticals, financial services, manufacturing, telecommunications, defence & government agencies, and enterprise IT, enabling data science teams to accelerate innovation and scale ML across products and operations. 

Why they stand out:

Domino Data Lab stands out through the following strengths:

• End-to-end AI lifecycle platform: Combines development, deployment, governance, and monitoring in a single enterprise solution - reducing friction across model pipelines.
• Trusted at scale: Used by over 20% of the Fortune 100 and mission-critical organisations for enterprise AI workloads.
• GenAI & production focus: Provides tools for custom generative AI development and responsible deployment, bridging experimental research and production readiness.
• Strong growth and backing: Founded in 2013 with 300+ employees and backed by leading investors (Sequoia, Coatue, NVIDIA, Snowflake), reflecting confidence in its AI/ML platform trajectory. 

Domino Data Lab delivers enterprise-grade AI and MLOps platforms at scale

5. Inoxoft

Inoxoft is a custom software development company headquartered in Philadelphia, United States, operating internationally with over 10 years of experience delivering digital solutions and practical AI/ML applications for mid-sized and enterprise clients. The company focuses on building scalable systems and embedding AI directly into business workflows, rather than limiting projects to experimental or proof-of-concept stages.

Core AI and ML offerings:

Below are the main AI and ML development services offered by Inoxoft.

• Custom AI/ML consulting and development
• AI agents and automation
• Data analytics and predictive intelligence
• AI chatbots and intelligent interaction systems
• ML integration into enterprise software

Industries served: Inoxoft serves a wide range of industries with strong digital and AI adoption needs, including healthcare, education, finance and fintech, logistics, real estate, and blockchain, helping organisations streamline operations and advance digital capabilities.

Why they stand out:

Inoxoft differentiates itself through the following strengths:

• Strong focus on real-world deployment: Inoxoft prioritises AI/ML solutions designed for production environments, not just prototypes or demonstrations.
• Recognised standards and partnerships: Inoxoft holds ISO 27001 certification and maintains partnerships with Microsoft Gold Partner and Google Cloud, reinforcing its commitment to quality and security.
• Execution-driven delivery: A significant portion of its ML projects are successfully deployed into live environments within short timelines, reflecting strong engineering and project management capabilities.

Inoxoft builds production-ready AI and ML solutions for growing enterprises

6. SoluLab

SoluLab is a technology company focused on Web3, blockchain and artificial intelligence solutions, with offices in the United States and India. The company was founded by former experts from Goldman Sachs and Citrix Systems with a mission to help global businesses accelerate digital transformation through modern products powered by AI, data and intelligent automation.

Core AI and ML offerings:

Below are the main AI and ML services provided by SoluLab:

• Generative AI consulting and implementation
• Custom machine learning development
• AI and ML consulting
• Data engineering and advanced analytics
• AI-driven automation

Industries served: SoluLab works with sectors that have high demand for digital transformation and advanced technology, including banking and finance, healthcare, e-commerce and retail, manufacturing and supply chain, logistics, real estate and HR services.

Why they stand out:

SoluLab builds a unique position in AI and Web3 through the following strengths:

• AI and Web3 integration: offers a rare advantage by combining decentralised technology with artificial intelligence, helping businesses build systems that are more transparent, secure and intelligent.
• Complete end-to-end solutions: includes consulting, development, deployment, and operational support, enabling clients to turn ideas into real products quickly.
• Flexible and customer-focused approach: SoluLab applies the Agile model and develops solutions tailored to each company’s goals and workflows.

SoluLab integrates AI and Web3 to build intelligent systems, operating as an AI/ML development company serving global enterprises. 

7. Matellio

Matellio is a global software engineering studio headquartered in the United States with offices in multiple countries. Founded in 2014, the company focuses on building custom software and enterprise platforms that enable digital transformation. It also functions as an AI/ML development company, offering tailored AI and machine learning services.

Core AI and ML offerings:

Below are the main AI and ML services provided by Matellio:

• Machine learning consulting
• ML model development
• AI and ML development and optimisation
• Predictive analytics
• Virtual assistance and customer insights

Why they stand out:

Matellio builds a strong position in AI, ML, and enterprise software development through the following strengths:

• Product engineering studio mindset: the company positions itself as a product partner from concept to real deployment, not just a software outsourcing vendor.
• Global network and aligned culture: with headquarters in the US and a technical hub in India, Matellio combines engineering capability with multicultural understanding to serve global clients.
• High-level technology partnerships: works with major providers such as Google Cloud, Siemens MindSphere, and HPE to integrate advanced technologies into its solutions.

Matellio develops software and AI-driven solutions for various industries, positioning itself among international AI/ML development companies.

8. DataRobot

DataRobot is a technology company specialising in enterprise AI platforms and is headquartered in the United States. The company helps businesses build, operate, and manage machine learning and AI models at scale, with the goal of expanding AI adoption across multiple teams and users inside the organisation.

Core AI and ML offerings:

Below are the main AI and ML services provided by DataRobot:

• AutoML and ML automation
• Unified AI platform (Build → Govern → Operate)
• Generative AI and agentic AI capabilities
• ModelOps and AI governance
• Flexible deployment options, including SaaS, on-premises and hybrid models

Industries served: DataRobot supports sectors with high demand for artificial intelligence and data analytics, such as banking and financial services, healthcare, telecommunications, retail and e-commerce and manufacturing.

Why they stand out:

DataRobot builds a unique position in the AI industry through the following strengths:

• Democratizing AI: the platform enables non-data science users to work with AI and ML.
• AutoML pioneer: recognised as an industry-leading platform in multiple analyst reports.
• Full model governance: provides tools for monitoring, versioning and managing deployed models.
• Flexible integration and deployment: supports SaaS, on-premises and hybrid environments for enterprise use.

DataRobot delivers automated AI platforms to boost business efficiency, recognized as a global AI/ML development company.

9. Rapid Innovation

Rapid Innovation is a U.S.-based AI and emerging technology development company specialising in custom AI, machine learning, and generative AI solutions for enterprises and fast-growing startups. The company follows a pragmatic, product-oriented approach, focusing on bringing AI, particularly generative AI, into real production environments rather than limiting delivery to experimental prototypes.

Core AI and ML offerings:

Below are the core AI and generative AI development services provided by Rapid Innovation.

• Generative AI development
• Custom AI and ML solutions
• AI agents and intelligent automation
• AI MVP and rapid prototyping.
• AI integration and deployment

Industries served: Rapid Innovation supports AI adoption across industries with high demand for intelligent automation and digital acceleration, including fintech, healthcare, logistics, e-commerce, SaaS, blockchain and technology startups.

Why they stand out:

Rapid Innovation stands out through the following strengths:

• Speed-focused AI delivery: Optimised for rapid execution, enabling organisations to move from concept to production in short timelines.
• Strong generative AI orientation: Clear focus on applying GenAI directly to products and business workflows.
• ROI-driven execution: AI solutions are designed around measurable business outcomes and scalable deployment.

Rapid Innovation delivers practical generative AI solutions for growing businesses

10. LeewayHertz

LeewayHertz is a technology company that specialises in AI consulting and solution development, headquartered in the United States. Founded in 2007, the company supports tech-driven startups, scaling businesses, and large enterprises in applying AI to optimise operations and accelerate digital transformation. In 2024, LeewayHertz was acquired by The Hackett Group, expanding its ability to deliver enterprise-grade generative AI solutions.

Core AI and ML offerings:

Below are the main AI and ML services publicly offered by LeewayHertz:

• AI consulting and custom AI solutions
• Generative AI and AI agent or copilot development
• Machine learning and data engineering
• NLP and computer vision
• MLOps and AI deployment services

Industries served: LeewayHertz works with sectors that have strong AI adoption needs, including finance and banking, healthcare, retail and e-commerce, logistics and supply chain, manufacturing, and media technology.

Why they stand out:

LeewayHertz builds a distinct position in the AI and ML field through the following strengths:

• Multi-technology expertise: combines capabilities in AI, blockchain, Web3, IoT, and Metaverse to deliver complete solutions.
• Focus on enterprise Generative AI: the acquisition by The Hackett Group reinforces its ability to deploy Gen AI from ideation to real operations.
• End-to-end delivery: offers full service coverage from consulting, design, and development to deployment and system management.
• Experience with large enterprises: has worked with many international brands, proving its ability to handle large-scale projects.

LeewayHertz develops and deploys AI and Generative AI solutions for organisations 

11. How to choose the right AI/ML development company: A four-point checklist

Choosing a suitable AI and ML development partner has a direct impact on the quality and usability of the final solution. Below are four key factors that help businesses evaluate and select the most suitable provider.

Assess technical expertise and domain knowledge

A reliable AI and ML partner must understand both technology and your industry. They need strong knowledge of algorithms, data infrastructure, deployment platforms and how data flows in real business environments. With domain expertise, they can turn data into practical AI models instead of delivering a solution that works only at a technical level.

Review their portfolio and case studies

A trustworthy company will show clear case studies with measurable results, such as prediction accuracy, productivity improvement or deployment time. These metrics help you assess how well they can apply AI in real business scenarios. Before signing any contract, you should request a project portfolio and verified performance outcomes.

Understand their development process and communication model

AI and ML projects require continuous testing, tuning, and updates. You should choose a partner with a transparent workflow, such as Agile, which allows you to track progress at every phase and maintain consistent communication. Regular reports and fast response cycles help you control quality, reduce risks, and ensure the project meets the expected goals.

Evaluate data security, IP rights and long-term support

Data is the core of every AI project, so security policies must be clear. The partner must comply with data protection standards and define access rights and intellectual property ownership of both the model and the source code. After delivery, they should continue to provide support, monitoring, and model updates to keep the AI system stable and valuable in the long run.

How to find a reliable AI and ML development partner

12. Frequently asked questions (FAQs)

1- What is the difference between an AI/ML development company and a general software development company?

AI and ML development companies focus on automating complex processes, extracting insights from data and building machine learning models. Their teams include specialists in data engineering, MLOps, NLP, computer vision and generative AI. General software companies mainly build applications based on business logic and programming workflows without relying on data-driven modelling or advanced analytics.

2- How do I prepare my data before working with an AI/ML development company?

Your business should ensure that the data is clean, labelled, structured and clearly owned. You should remove invalid or duplicated records, handle missing values, identify key features, and follow security and compliance rules before sharing data with the partner.

3- What engagement models (e.g., Fixed Price, ODC) are common for AI/ML projects?

Common models include Fixed Price, which fits projects with a well-defined scope, and ODC, which is suitable for AI and ML projects that require experimentation and frequent changes. Some companies also offer a Dedicated Team model for long-term product development.

4- How is the intellectual property (IP) of the custom models handled?

Ownership of data, source code, models, and training outputs must be stated clearly in the contract. The business should retain full rights to deploy, modify, and reuse the model after delivery. The partner must also commit to confidentiality and guarantee that data will not be shared or reused without permission.

The companies listed above demonstrate strong capabilities in building and applying artificial intelligence. If you are looking for an AI/ML development company with real implementation experience across multiple industries, TMA Solutions is a reliable choice. To discuss your AI project in detail, you can contact the TMA Solutions consulting team for direct support.

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