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Sector is predicted to be expanding from $1.6 billion in 2023 to over $250 billion by 2030, with a CAGR of estimated at 79.8% over the 2023-2030 period. The top companies that implement LLM are OpenAI, Google, Microsoft, Amazon, IBM, and more.
Compatibility with leading LLMs has very likely contributed to its rapid adoption as developers sought tools to leverage these powerful models effectively. Today, you can find Ally, Rakuten, Elastic, and more to utilize it effectively.
Is among the leaders in AI as it advances in robotics, language models, and machine learning. With a commitment to open access, OpenAI fosters collaborative development and the widespread adoption of AI technology. Microsoft has integrated OpenAI’s models into products like Azure OpenAI Service and Copilot in Office 365.
Similar AI-based engines quickly gained global popularity among over 200 million active daily users. Enterprises that operate across multiple industries like tech, finance, healthcare, education, retail, automotive, agriculture, etc. actively integrate large language models into their workflows. Among the largest are Google (products like Search and Workspace), Microsoft, Shopify, Stripe, Snapchat, Coca-Cola, Quora, and others.
Is used by over 10,000 organizations across various industries, including finance, healthcare, and retail. These organizations utilize Azure’s integration with OpenAI models like GPT-4 to power applications ranging from customer service chatbots to advanced data analytics. It is integrated into Microsoft products like Dynamics 365, Power BI, and Office 365, which has significantly boosted its adoption among Fortune 500 companies.
provides great infrastructure and a wide set of tools for ML models. Data preparation, model training, and deployment have become easier and less tricky since Bedrock streamlines the AI development cycle and allows businesses to scale their AI solutions more effectively.
From voice and audio generation to advanced image and video synthesis, we expand the horizons of creative possibilities by utilizing high-tech models.
Developed by OpenAI, has an active user base of over 1.5 million individuals and generates about two million images daily. Launched on January 5, 2021, the initial DALL·E version was constrained to 256-by-256-pixel images. The upgraded DALL-E 3, released in October 2023, significantly improved this capability, producing detailed 1,024-by-1,024-pixel images. DALL-E 3 also introduced innovative features like “inpainting” which allows users to replace elements within an image. Microsoft, Udemy, Accenture PLC, IBM, Upwork, etc. are among the companies that utilize DALL-E.
Has revolutionized the AI art landscape with its popular V6 model, offering more accurate and realistic image generation. Between November 2023 and March 2024, the user base grew by 2.86 million, bringing the total to 19.26 million registered users on its Discord server. Since its launch, Midjourney has become widely recognized, surpassing 1 million users within just six months. Among businesses, SKF Group, DataCamp, Wargaming, and more use Midjourney for their operations.
Have been dominating the ML and data science sectors with a market share of 26% (PyTorch) and 49% (TensorFlow). PyTorch is widely used by Meta, Tesla, Microsoft, Uber, Airbnb, and others. TensorFlow is utilized by Google (the company developed the tool, and it is used across its multiple services), Airbnb, Twitter, Coca-Cola, Intel, and many others.
Is being adopted across industries like retail, healthcare, automotive, and security. Among its largest users are Amazon, Google, Apple, Tesla, NVIDIA, and more.
Is becoming a crucial tool as companies scale their AI and machine learning models. Among the market players that utilize MLOps to manage their ML models effectively are Google, Microsoft, Netflix, Spotify, and Airbnb.
Whether you need custom-built AI features or integrations into your existing systems, we make sure every model works to improve efficiency, reduce errors, and speed up development. We also guarantee that no AI-based engine is used without your knowledge or approval. Adoption of AI models helps us work smarter and faster, but it doesn’t replace knowledge. We use different approaches that allow us to refine code, optimize workflows, and boost productivity. If you already have an AI solution you use, like or prefer, we can help you integrate it. If not, we’ll help you choose the best fit based on your project requirements or needs. Our approach provides better performance while keeping the process transparent and efficient. What We Offer:
From planning and development to deployment and training, we make AI work for you, not the other way around. Our goal is simple: better software, faster results, and smarter processes. Let’s build AI-based solutions that truly make a difference.
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