Criteria We Used to Evaluate the Best AI Development Companies

• Technical Expertise and Capability: We looked at AI development companies that have a deep understanding of AI, machine learning, and NLP, proven through their past work. For this, we looked at real skill, not just buzzwords and companies that add AI to everything.‍
• Customization to Your Operations: You need to work with an AI development company that can meet your specific business and technical needs. Generic models rarely work. When picking an AI services company, you need to see that they can build something truly custom for your enterprise.‍
• Reviews and Pricing: Client feedback and making pricing clear and fair is a good requirement to look at. That said, most enterprise AI development companies send a cost estimate after considering your specific requirement and a consultation call.‍
• Support and Maintenance: Ongoing support is critical. Most enterprises and growing companies need an AI development partner who will maintain and update the AI and tech for the long-term.
• ‍Case Studies + AI Experience: Industry-specific experience is something to look at. However, even with a proven track record with a type of technical solution, ecosystem, and success in similar projects, can more than suffice.

Top AI Development Companies

1. Entrans

Entrans, one of the top AI development companies on this list. Entrans is an IT services company that has also launched its own AI agent called Thunai.

Entrans is equipped with a range of skills like data engineering, CI/CD systems, DevOps, Blockchain development, product engineering, data engineering, cloud engineering on AWS, GCP, and Azure, as well as Data analytics.

This AI services company is skilled in various programming languages and tools like Python, RStudio, C++, Jenkins, Vue, and React to name a few.  And on the whole, it creates products and systems with automated data flows and clean up processes for smooth continuous implementation and deployment.

Key Services of Entrans:

• Predictive AI: At Entrans, we develop customized predictive models to improve your company’s risk assessment, resource allocation, and overall efficiency.
• AI Framework Engineering: Entrans uses advanced frameworks like TensorFlow and PyTorch, improving AI workloads for distributed environments and cloud infrastructures such as AWS and Azure.
• Generative AI: Create your own generative AI models relying on LLMs and trained and deployed on vast datasets of your own company data. At Entrans we use quantization, retrieval-augmented generation (RAG), and distillation to create cost-efficient and low-latency generative AI models. 
• AI Chatbots: At Entrans, we develop AI chatbots to automate customer interactions and enhance user experience. Our chatbots use natural language processing (NLP) and machine learning (ML) to provide personalized and engaging conversations.
• Text to Image/Video Generation and Processing: Our team creates systems that transform huge amounts of text into visuals and dashboards with our AI-powered image and video generation tools. Utilize our advanced processing capabilities to edit, enhance, and analyze images for actionable insight.
• AI Speech Recognition and Synthesis: At Entrans, we enable better human-computer interaction with our accurate speech recognition and synthesis solutions. Convert speech to text and vice versa, facilitating voice commands, transcription, and accessibility features
• Autonomous AI Agents: Deploy intelligent autonomous agents using Entrans to automate complex tasks and optimize workflows. Our agents can adapt to dynamic environments, learn from data, and make informed decisions without human intervention.

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Thunai - An AI Agent Built by Entrans

Thunai, an AI Enterprise ai agent built for sales and support, was launched in under six months and won Product of the Day on Product Hunt!

This AI automates the support and sales processes with the use of human-like AI voice, email, and chat agents. The platform was built on Flutter for mobile devices and uses AngularJS for the web-based application.

Aside from putting separate databases in one place that is easily accessible through RAG, Thunai also automates replying to emails, scheduling meetings, scoring customer calls, and creating action items in CRM and ticketing software automatically.

We’ve listed some of the functionality and features below:

• Thunai Brain: This knowledge base takes in all of a company's data, through documents, videos, and chats (this can even include multiple scattered data or databases). It then puts that knowledge to use to power intelligent, autonomous agents.
  
• Real-time Agent Assist: It supplies tools to help out human agents during live calls, suggesting answers and guidance.
  
• Multilingual Support: Thunai is an AI software that supports over 150+ languages. This makes it possible to set up for global businesses.
  
• AI Call Scoring and Audits: With AI call scoring, Thunai gives you a full call summary, sentiment analysis, and scores calls on parameters you can choose for your business for 100% QA.

Did we mention that Thunai already has enterprise clients? Reach out to see how Entrans can help you build your own AI agent.

2. LeewayHertz

LeewayHertz is a leading AI consultant and development artificial intelligence company that works with startups and enterprises, creating custom AI and data engineering solutions for them. 

In terms of artificial intelligence vs machine learning, LeewayHertz can handle working with both as they both require expertise on both processes.

• With clients like the US Army, 3M, Simmiens, Hersheys and even Nascar, they have AI development, Gen AI, data engineering and blockchain services that can be curated to your company. 
• With agile software development, product design, testing, and deployment, Leeway Hertz is an excellent artificial intelligence development company to consider when it comes to enterprise AI development.

3. Sumatosoft

Sumatosoft is one of the more popular enterprise AI development companies worth looking into. With over 13 years of experience, they have expertise in product engineering, mobile app development, and staff augmentation.

If you want more clarity on AI product development, this AI consulting company can help you set your project on the right path with the right tech-related resources.

• With experience and industries like healthcare, education, manufacturing, and tax advisory, they work with clients and services across the board.
• This artificial intelligence development company uses PHP, Python, Angular, Django, and React, they can help you create a responsive and intelligent AI solution, make use of the Internet of things (IoT) data, and even create blockchain solutions.
• The company insists on a client-centric approach and projects with transparency and commitment to deadlines. Based in both the United States and Poland, they are adept at working with a variety of clients.

4. PWC

PWC is a giant in the Tech world and a huge team based worldwide. With over 370,000 employees, they provide reliable AI strategy and development consulting services.

Whether it’s AI in manufacturing or AI in finance, PWC is an AI development company that can set you on the right path with its huge network of industry and AI experts.

• Although they are on this list as one of the top AI development companies, they also specialize in accounting advisory, global capabilities centres, industry development, and consulting in general for startups and enterprises.
• One factor worth considering when working with this company, however, is the fact that the team may be spread across and may not have a specialised or deep expertise specific to your industry or individual needs. 

On the whole, however, they provide reliable services and are one of the top companies based on repetition and skill set in the space of AI consulting.

5. PixelCrayons

With 4200 projects delivered worldwide, PixelCrayons is a digital enterprise that helps startups, enterprises and agencies drive growth in the digital landscape. 

On the whole, this enterprise AI development agency is a digital-first IT services company that also provides specialized services like eCommerce support and dedicated teams for constant support.

• In terms of AI development and automation, they help companies develop AI solutions, full-stack automation, AI-powered virtual assistants, and even provide automation consulting services. 
• Adept in the world of digital transformation, PixelCrayons also has Data analytics, cloud services, robotic process automation, and machine learning services.

6. Upsilon

Upsilon specializes in generative AI and fast MVP development for startups and scaling companies. With 10+ years of experience and 25+ launched products, the team delivers AI-driven MVPs in just three months.
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From idea validation to AI model integration and scaling, Upsilon supports clients through the entire product journey. Acting as a long-term tech partner, the company offers flexible collaboration, dedicated teams, and transparent processes to help businesses quickly bring innovative, AI-powered products to market.

• Beyond AI MVPs, Upsilon supports companies throughout the entire product lifecycle — from ideation and prototyping to scaling and optimization.
• The company’s sweet spot lies in Python, NodeJS, React, and React Native — supplemented with generative AI expertise.
• Upon your requirements, developers can be quickly organized into dedicated teams to handle any part of your project.

7. Markovate

Markovate is an AI development company that specializes in mobile development, hybrid development, and AWS development services. Founded by Rajeev Sharma and Mansi Sharma, the AI development company has an impressive track record and brand presence in the AI development industry.

• In the last three years, Markovate has moved towards generative AI, AI deployment, and machine learning, having delivered 300 + products worldwide, making it one of the top AI software development companies to work with.
  
• Relying mainly on AI, ML, generative AI, and blockchain, Markovate uses cloud computing and data analytics tools as the backbone of its software solutions. 
• This artificial intelligence development company has also worked with brands like Nown, Landmark Athletics, Hawaii Revealed and Keera Talent.

8. Open AI

OpenAI is a leading artificial intelligence research and deployment company, with a mission to make sure that artificial general intelligence benefits all of humanity. 

In doing so, they’ve helped businesses harness AI capabilities for tasks like content generation, summarization, and natural language processing.

OpenAI has collaborated with industry giants like Microsoft, OpenAI allows its advanced AI models into platforms such as Azure OpenAI Service using APIs.

Although they do not provide curated AI development, we’ve listed them as one of the top generative AI companies for how much they’ve driven the industry of artificial intelligence.

9. InData Labs

InData Labs is one of the top Machine Learning Development Companies worldwide. This machine learning company specializes in delivering custom AI, customized Machine learning processes, and data engineering solutions to businesses worldwide. 

• With a diverse portfolio of clients spanning the USA, UK, Europe, and Japan, InData Labs has a range of services curated to various industries, including marketing and advertising, e-commerce, logistics, fintech, digital health, and IoT. 
• This enterprise artificial intelligence development company handles AI strategy consulting, data science, machine learning, generative AI, natural language processing (NLP), data engineering, AI chatbot development, and business intelligence. 

10. DataRoot Labs

DataRoot Labs is a top enterprise AI development company and consulting firm that partners with startups and enterprises to deliver tailored AI and data engineering solutions.

DataRoot Labs has collaborated with clients globally, including notable companies like IBM, Noom, and Cognyte, to add AI components into their core operations. 

• The company has a wide range of services, including AI solutions development, R&D team recruitment, and startup venture services. 
• Their expertise includes deep learning, computer vision, natural language processing, advanced scoring models, and data warehouse platform development. 
• DataRoot Labs has completed over 50 projects, delivering AI-powered products across various fields to help clients reinvent industries using data-driven strategies.

11. SoluLab

SoluLab is a leading AI development and consulting company that collaborates with startups and enterprises to create customized AI and data engineering solutions.

With a team of over 250 full-stack developers, designers, and innovators, SoluLab has successfully launched more than 150 digital solutions across various industries.

• The company has a wide suite of services, including AI development, blockchain development, Web development, metaverse development, as well as, software development, and consulting.
• They serve a diverse range of industries such as supply chain, healthcare, education, real estate, e-commerce, finance, entertainment, legal, government, and oil & gas.
  

How to Choose the Right AI Development Company for Your Business

1. Domain Knowledge: Specifically, ask about their experience with AI solutions in your industry's specific regulatory environment. For example, if you're in healthcare, do they understand HIPAA compliance and medical data handling? Have they built AI for similar use cases, like patient diagnostics or drug discovery?
   
2. Effective Data Engineering: Look into their data pipeline creation process and their ability to handle diverse data sources. Do they have experience with specific data warehousing solutions or cloud-based data platforms? Ask about their methods for data cleaning and feature engineering, which are crucial for model accuracy.
   
3. Data Privacy and Industry Compliance: Don't just ask if they comply; ask how they comply. Is this a company that uses data encryption, anonymization, and access control? It’s important to ask details about this alongside their data security protocols. Also look into their experience with audits and certifications related to your industry's regulations, like GDPR or CCPA.
   
4. Project Durations and Development Requirements: Requesting a detailed project timeline with milestones and deliverables is a good place to start. This aside, you should also be aware of their development methodology (Agile, Waterfall, etc.) and how they handle scope changes. Delve deeply into their communication plan and how often they’ll update you with a progress report.
5. Existing Portfolio and Reviews: Look for case studies with measurable results, not just project descriptions. Ask for direct client references and look into specific challenges they overcame. Aside from this, also pay attention to reviews on platforms like Clutch or LinkedIn, looking at feedback related to communication, problem-solving, and technical expertise.
6. Post Deployment Support: Clarify the service level agreement (SLA) for post-deployment support. Do they offer 24/7 support or only business hours? Ask about their process for handling bugs, updates, and model retraining. Look into their knowledge transfer process to make sure your team can manage the AI solution long-term.

Future Trends in AI Development

• Agentic AI: We'll see AI move towards Agentic AI systems that can plan and reason, allowing them to adapt to changing situations. This means AI will handle complex decisions and work independently in areas like managing supply chains and providing customer support.
  
• Workplace Process Automation: AI is already becoming a core part of everyday business software, automating complete processes, not just single actions. As time passes, we can expect AI to improve in handling complex document work, creating reports automatically, and managing projects intelligently, boosting overall efficiency.
  
• Generative AI and AI Democratization: The future will include easy-to-use platforms that let anyone build and use AI, regardless of their technical skills, meaning it will move more towards the use of Generative AI and AI democratization. In doing so, teams will speed up AI adoption in all sectors and allow for more specialized AI solutions.
  
• Multimodal AI: AI will get better at understanding and creating content from various sources, such as text, pictures, and sound. This will make interactions with computers feel more natural and open up new possibilities in fields like analyzing multimedia and creating virtual worlds.
  
• Regulatory Laws and Ethics in AI: We'll see more rules to address issues like AI bias and ensure AI is used fairly and openly. This includes creating guidelines for ethical AI development and laws to handle AI-related problems. Making AI understandable and auditable will be a key focus.

Why Choose Entrans as Your AI Development Partner?

Entrans has worked in the tech space with Fortune 500 companies in launching scalable AI solutions for years, making it a top AI development company to work with.

With a certified AWS, Azure, and Google Cloud professional for cloud and data engineering.

With experience with Python, .Net, Splunk, MongoDB, and over 40+ other ecosystems and languages, we’ll speed up your time to market. 

Want to know more? Book a free 30-minute consultation call!