Accubits is a leading AI development company with deep expertise in machine learning, deep learning, NLP, conversational AI, computer vision technologies, and neural networks. Let's work together to make your organization future-proof with cutting-edge AI solutions.
We only offer a selected range of AI development services. Reach out to us today for a no-obligation consultation to discuss your AI project ideas and requirements.
Uncover patterns and hidden trends from large volumes of data through machine learning. Enable your information systems to 'think' and predict outcomes on their own, with sophisticated machine learning algorithms.
Build cognitive business technology frameworks that think like the human with deep learning. Our forte includes advanced speech and facial recognition systems, automation systems, business intelligence, and much more.
We got you covered for AI conversational tools, AI chatbots. Our proprietary hybrid AI model for AI conversational tools offers industry-leading accuracy in NLP and NLU.
We build AI-powered data classification tools to help your business seamlessly classify objects, data, files, multimedia etc with industry-leading accuracy in data classification.
Struggling to increase your business sales? Let us help you with sales intelligence tools to uncover hidden sales booster opportunities from your existing data.
We build multimedia analytics solutions for video, image, and documents to help your business to complete analysis works in a matter of hours which otherwise would have consumed weeks.
Predictive analytics helps your business by providing the best assessment of what will happen in the future. It uses data, and machine learning to identify the likelihood of future outcomes based on the available historical data.
Automate mundane, repetitive, and boring tasks and processes in your business with AI-powered Robotic Process Automation and enable your employees to engage more in challenging, high-value tasks.
We have helped several companies to grow their business by building custom AI solutions tailored to their work ecosystem. Our team of expert AI engineers identifies the areas in a company that can be made efficient with the use of AI technologies.
Be influenced by how businesses are reinventing their management strategies with cutting-edge applications built on artificial intelligence technology. If you want your business to stay ahead of the curve, then you need to adapt to the changing industry standards. By incorporating a custom-made AI ecosystem to assist your business operations, you can maximize your business returns. A few of the popular use cases of AI are;
You are just one step away from getting the best AI experts. Connect with us to know more.
Artificial intelligence technology has helped businesses boost profits and operational efficiency while enhancing customer experience at the same time. Here are a few reasons why you should adopt AI to your business.
Gartner predicts that the global artificial intelligence software market will reach $62.5 billion by 2022, an increase of 21.3% from 2021.
Reports from leading institutes show that adopting AI for digital commerce will improve customer satisfaction, revenue, or cost reduction by at least 25%.
According to Gartner, by 2023, 40% of I&O teams across firms will utilize AI-augmented automation, resulting in increased IT efficiency and scalability.
Our AI expertise covers all prominent AI frameworks. Following are some popular AI frameworks our team has worked across.
PyTorch is an open-source machine learning library that builds applications based on computer vision, deep learning, and NLP.
MXNet is an open-source, easy-to-use, and scalable deep learning framework that trains and deploys deep neural networks on the cloud, edge devices, and mobile apps.
Nvidia Caffe is a deep-learning framework built to provide better flexibility, speed, and modularity. It is an NVIDIA-maintained fork of BVLC Caffe tuned for NVIDIA GPUs.
Caffe2 is an open-source, deep-learning framework written in C++ with a Python interface. It is considered an un-framework because of its flexibility and modularity.
Chainer is a deep learning framework written in Python on top of NumPy and CuPy Python libraries. It supports various network architectures such as feed-forward nets and more.
Theano is a Python library and optimizing compiler for defining, manipulating, and evaluating mathematical expressions, particularly matrix-valued ones.
Schedule a free consultation with our AI experts for your AI solutions development and know how we can transform your business.
AI has been on the steady rise for many years. AI-powered solutions provide human users with synthesized routes of action. As a result, we can employ AI to predict the potential outcomes of each business plan and expedite the decision-making process. It makes humans work more efficiently and revolutionizes the way business operations are carried out. From analyzing customer behavior to performing data entry tasks, AI is becoming increasingly indispensable in many ways.
Businesses can now use AI solutions to understand better and engage consumers, automate business processes, and increase productivity and revenue while lowering operating costs. It is better not to hold off using AI in your business. Connect with us to take it forward.
We are the one-stop destination for your AI solutions development requirement:
1. Market Research: We research the target market and the available AI solutions at this level. To improve the functionality of your product, our team evaluates the advantages and disadvantages of existing AI frameworks. Once we have a clear understanding of the business demands in your target market, we can gain better insight into whether it is profitable to develop a new AI-based product.
2. Start the AI Solutions Development: Here, we design AI-based products. Then our team starts the AI solutions development life cycle when the design is ready to create a functional product. We compare your requirements with our pre-built AI solution at this stage. You can implement the AI solution within a week if you only need to make minor branding tweaks. Our AI solutions also offer specialized features and functionality depending on your company's requirements.
3. Launch: The market can see your product immediately. Careful planning and meticulous execution are used throughout the product launch to guarantee that potential buyers would favorably receive the product.
4. Analyze & Improve: We gather user feedback to improve the AI solution. The AI product development is not finished there. Based on consumer suggestions on product improvements, our team works to improve the solution offering and upgrades it with the latest AI-based technological enhancements.
We are trusted by hundreds of business leaders and technology innovators, from technology startups to Federal organizations worldwide. Following are some notable clients who had faith in our solution development capabilities.
Our AI solutions can help transform the business lifecycle for digital ecosystems while scaling productivity, reliability, and efficiency. Connect with our AI experts to get started.
Many AI enthusiasts across the globe are curious to know more about the What's, Why's, and How's of the AI solutions development process. So here, we have gathered a few popular questions based on AI technology, and our solution experts have answered those to clear the concerns and doubts of AI innovators. We hope you will find your answers listed here; if not, don't worry! Drop a mail mentioning your doubts and concerns, and we will get back to you with proper answers within the next 24 Hrs.
Artificial intelligence (AI) replicates human intellect in programmed robots to think and act like humans. The phrase may also refer to machines demonstrating human-like characteristics such as learning and problem-solving.
The capacity of artificial intelligence to rationalize and execute actions with the highest likelihood of reaching a certain objective is its ideal feature. Machine learning (ML) is a subset of artificial intelligence that refers to the notion that computer systems can automatically learn from and adapt to new data without the assistance of humans. Deep learning approaches enable autonomous learning by ingesting massive volumes of unstructured data such as text, photos, or video.
Before delving into the many types of Artificial Intelligence, it is critical to understand how AI has been classed. The two most important aspects that differentiate the various forms of AI are functionality and technology. As a result, the categorization can consider how the system operates and what technology is used to do them. We'll briefly review each form of AI so you can easily examine the AI applications and understand how a certain AI-based solution works.
So, depending on functionality and technology, these are the many forms of AI:
Types of AI (based on functionality)
Types of AI (based on technology)
AI systems learn from patterns and characteristics in their study data by combining big data sets with clever, iterative processing algorithms. Every time an AI system executes a round of data processing, it tests and assesses its performance and gains new knowledge. Because AI never has to rest, it can do hundreds, thousands, or even millions of jobs in a single day, learning a great lot quickly and becoming incredibly proficient at whatever it is trained to do. However, knowing how AI genuinely works requires understanding that AI is more than just a single computer program or application, but a whole subject or science. AI science aims to create a computer system capable of imitating human behavior to tackle complicated issues using human-like cognitive processes. AI systems employ various methodologies and procedures and a diverse set of technology.
Get a free consultation with our solutions and legal experts to learn how to deal with these challenges.
The expenses of developing AI solutions vary greatly based on the project requirements, the allocated team's years of technological competence, and the number of developers required across the project. Complex projects will need more time, development resources, and energy, resulting in greater expenses.
The capabilities and features of AI solutions determine the time required to finish your AI project. The more complicated the feature, the longer it takes to create, test, and deploy it.