Top 10 Hyperautomation Companies in 2025

Customer expectations are being redefined in 2025. With new advancements in technology, traditional automation alone is no longer enough to meet these demands. 

Hyperautomation provides a way to organize workflows. It helps to transform raw data into actionable insights, enabling organizations to act in real-time. To achieve this, hyperautomation companies are helping businesses to achieve resilience and efficiency. They provide us with the necessary expertise to integrate data, AI, and automation technologies into a single strategy.

This blog will highlight the top 10 Hyperautomation companies of 2025 that have helped businesses. It has boosted productivity and helped them to innovate faster.

What is Hyperautomation?

Hyperautomation is a process of automating business processes. It combines technologies like Artificial Intelligence (AI), Machine Learning (ML), Robotic Process Automation (RPA), Natural Language Processing (NLP), and process mining.

It works by discovering, analyzing, automating, orchestrating, monitoring, and optimizing the tasks. The hyperautomation benefits are reducing costs, improving the speed and accuracy of operations, integrating and utilizing data for event-driven decisions, and driving digital transformation.

How We Selected the Top Hyperautomation Companies

Choosing the top hyperautomation companies requires a structured evaluation process. Some of the key criteria that we have chosen are

• Years of experience: We have prioritized hyperautomation companies that have longer histories of delivering hyperautomation services and solutions. This measure will say something about their reliability, proven expertise, and retained customers. Their recognitions, certifications, and industry rankings, from reputed platforms such as Gartner, were considered.
• Service offerings: Hyperautomation companies’ capabilities of delivering a range of services like RPA, AI/ML, process mining, workflow orchestration, integration/API connectivity, and analytics. Only companies that offer both hyperautomation as a Service or platforms are included.
• Technical expertise: The Hyperautomation platform must integrate key technologies like Robotic Process Automation (RPA), AI/ML (Artificial Intelligence/Machine Learning), iBPMS, and iPaaS (Integration Platform as a Service). Vendor should be able to embed GenAI for use cases like conversational automation, content generation, and code-assisted development.
• Client review and testimonials: We have looked at the client review, peer rankings, analyst reports, enterprise testimonials, and awards from major platforms like Clutch.
• Scalability and flexibility: The Hyperautomation service company’s ability to scale up both small-scale and large enterprise-wide hyperautomation programs was considered. 
• Pricing model: We have considered the pricing models of each company. We have prioritized vendors with clear, accessible pricing models (usage-based, enterprise, project pricing) and compared them with other hyperautomation companies for budgeting.

Top Hyperautomation Companies

1. Entrans

Entrans is a leading service provider for hyperautomation services. We focus on utilizing Artificial Intelligence (AI), DevOps, and Cloud Engineering to achieve end-to-end digital transformation and process automation.

Key Services of Entrans

• AI-driven Automation services: Entrans specializes in AI-driven automation to enhance workflows across cloud, data, and applications.
• End-to-End Workflow: We integrate the automated steps with other existing technologies, such as Business Process Management (BPM) and Robotic Process Automation (RPA). 
• Robotic Process Automation (RPA): Entrans offers automation of repetitive, rule-based tasks across systems and applications. RPA mimics human interactions with digital systems.
• Process Mining/ Task Mining: We use specialized tools to analyze data from histories and user interactions. This has helped us to identify the bottlenecks and discover innovative solutions.
• Intelligent Document Processing (IDP): We extract data from structured, semi-structured, and unstructured documents by using Optical Character Recognition (OCR) and Natural Language Processing (NLP).
• Low-code/No-code (LCNC): Entrans helps in automating workflows with minimal coding and building applications. This enables rapid digital transformation.
• Managed Services: We provide 24/7 monitoring, maintenance, and support for the deployed automation infrastructure of RPA bots, AI models, and servers. This ensures minimal downtime and early issue fixes. 
• Continuous Optimization: We use real-time insights and analyze and monitor data to measure the performance of automations against business metrics and make iterative changes to refine and improve the process over time.

How We built an AI agent Thunai:

We have developed an autonomous AI agent - Thunai that can manage and execute complex workflows with minimal human intervention. It is a next-gen Agentic AI platform that was designed to transform organizational knowledge into autonomous AI agents capable of handling customer interactions, workflows, and data-driven tasks across support, sales, and marketing operations. 

Thunai, an AI agent that uses multimodal learning to process unstructured data like documents, audio, video, and chat transcripts, enabling real-time automation of complex processes. It has features like AI voice agents, AI chat agents, email agents, application agents, and self-learning orchestration capabilities.

2. UiPath

UiPath provides hyperautomation services through its UiPath Business Automation Platform. They offer a full automation lifecycle, not just RPA.

Key Services of UiPath

• UiPath uses process discovery tools, including process mining and task mining, for discovering and analyzing processes.
• They also build, design, deploy, and manage bots and automations using their own platform. UiPath Studio or StudioX is a low-code/no-code environment that allows even non-technical users to create their own automations. UiPath provides end-to-end processes from engagement to real-time insights. 

3. Accenture

Accenture is a leading IT hyperautomation solution provider that provides the entire automation lifecycle under its Intelligent Automation business capabilities.

Key Hyperautomation Services of Accenture

• Accenture gives automation services under a cloud-based platform (Intelligent Automation Platform), which uses major cloud providers like AWS, Azure, and GCP. They speed up development through a hybrid Agile framework with DevOps support.
• Accenture helps build automation that integrates with legacy systems and modernization. 
• They offer consulting and ongoing support for the automation portfolio, which includes managing, monitoring, and updating the RPA and intelligent Automation solutions.

4. Microsoft

Microsoft’s hyperautomation services are delivered through its Microsoft Power Platform - Power Automate. It combines multiple technologies to achieve end-to-end business process automation.

Key Services of Microsoft 

• Microsoft automates workflows and integrates applications, data, and workflows over 1,000 pre-built connectors or custom connectors. 
• Using Task Mining and process Mining, they understand current processes and manual tasks. This helps in identifying the inefficiencies, bottlenecks, rework, etc. 
• Using AI and Machine Learning - AI Builder, they infuse document processing, prediction, analysis, and complex decision-making.

5. Automation Anywhere

Automation Anywhere is a hyperautomation service provider that offers a cloud-native intelligent automation platform - Automation 360. This platform combines Robotic Process Automation (RPA) with Artificial Intelligence (AI) and process intelligence tools to give end-to-end business process automation.

Key Services of Automation Anywhere

• Automation Anywhere provides a core process through Automation Workspace for creating, managing, and deploying software robots to automate repetitive tasks.
• Automation Anywhere provides process Discovery and Optimization by capturing interactions between people, systems, and data to provide a complete view of processes. This service helps in identifying the inefficiencies, spotting bottlenecks, and guides us to prioritize which services need to be implemented for automation.
• Their Automator AI and process Reasoning engine uses auto-create workflows and takes adaptive decisions.

6. Deloitte

Deloitte is a leading IT Hyperservices solutions provider and offers services as part of its Intelligent Automation offerings.

Key  Services of Deloitte

• Deloitte provides hyperautomation consulting services by utilizing Process Mining and Task Mining to analyze current business operations and help in building a quantifiable business case and deployment model.
• Deloitte provides intelligent automation solutions using core RPA services to handle complex tasks. 
• Deloitte focuses on automated processes to run securely and accurately at scale through managed services.

7. Alteryx

Alteryx provides hyperautomation services through its Analytic Process Automation (APA) platform that combines data preparation, analytics, and business teams.

Key Services of Alteryx

• Through their APA platform, they enable users to build automated, end-to-end workflows for data preparation, blending data from disparate sources.
• Alteryx provides specialized tools for handling unstructured data, including Optical Character Recognition (OCR), Text mining, and Automated Machine Learning (AutoML). This feature allows automation to read documents, understand context, and build predictive models that feed into automated decisions.

8. IBM

IBM provides hyperautomation solutions through its IBM Cloud Pak for Business Automation. They mainly aim to go beyond simple task automation to create intelligent workflows that can analyze data, make decisions, and improve processes.

Key Services of IBM

• IBM also provides end-to-end business automation workflows combined with Robotic Process Automation (RPA) for high-volume tasks.
• They analyze operational data and worker actions through process mining and task mining. This helps to identify bottlenecks and suggest automation opportunities for continuous improvement.

9. Pegasystems

Pegasystems provides hyperautomation services through its Pega Infinity Platform, which unifies AI, low-code, and workflow tools to automate end-to-end back-office processes.

Key Services of Pegasystems

• Pega’s Business Process Management (BPM) and case management designs complex, end-to-end workflows that integrate between humans, bots, and connected systems.
• They automate repetitive tasks with Robotic Process Automation (RPA) to automate repetitive tasks and workflow.
• Pega Customer Decision Hub and Process AI platform utilizes automation to make real-time decisions and predict next-best actions for customers.

10. Ernst & Young (EY)

Ernst & Young provides hyperautomation services by combining RPA, AI/ML, intelligent document processing, conversational agents, and platform-led managed services. 

Key Services of Ernst & Young

• Their Intelligent Automation (IA) business-driven strategy combines technologies like Robotic Process Automation (RPA), Artificial Intelligence (AI), and Process Mining to achieve end-to-end transformation. 
• EY provides end-to-end operational support, including monitoring, maintenance, bot upgrade, health checks, and service desk support for the entire automation ecosystem. 
• EY provides AI-enabled automation, Robotic Process Automation (RPA), and Intelligent Document Processing (IDP). They automate the extraction, classification, and validation of data from structured and unstructured documents.

Main Services Offered by Hyperautomation Companies

Hyperautomation companies primarily offer services that reduce manual workloads, accelerate operational speed, and provide scalable solutions. They offer services that apply intelligent automation across the entire organization. 

• Robotic Process Automation (RPA): This is the core service provided by hyperautomation. RPA is used to automate repetitive tasks and manual processes such as data entry, reporting, invoice processing, and report generation. They help to minimize human errors and free up employees to focus on other higher-value work.
• Business Process Management (BPM) and Intelligent BPM Suites (iBPMS): Hyperautomation companies utilize BPM to streamline workflows from end to end. Companies offer process discovery, business process mapping, and continuous improvement using process mining tools. They utilize iBPMS to enhance these processes with business intelligence, analytics, and AI.
• Integration Platform as a Service (iPaaS): This service enables companies to integrate various automation tools and systems, allowing them to work together effectively. They provide seamless integration on-premises and in the cloud.
• Low-code/No-code platforms: This kind of service allows even non-technical employees to create and deploy their own automations and business processes—applications using user-friendly graphical interfaces.
• Hyperautomation consulting: Hyper automation companies provide consulting services that guide organizations to develop a comprehensive plan that outlines processes to automate and the technologies to be used. 
• Managed services: They also provide managed services to build, test, and deploy automation solutions. They also provide continuous monitoring services to ensure optimal performance.
• Advanced analytics and insights: Hyperautomation needs real-time monitoring and analytics for continuous improvement and to provide actionable insights to enhance customer experience.

How to Choose the Right Hyperautomation Company for Your Business

Choosing the right hyperautomation companies requires analyzing both technology and service delivery capabilities to ensure business objectives and long-term scalability are achieved. The following criteria will help you find the best fit based on your needs.

• Define your needs: Before choosing a hyperautomation service company, clearly define the automation goals, whether it is needed for reducing costs, improving operational efficiency, boosting productivity, or enhancing customer satisfaction. Analyze the target processes that will have the highest impact on high-volume, high-error, or high-complaint areas.
• Evaluate industry experience: Look for companies that have proven experience with respect to your industry. Consider their processes, challenges, and not just automation principles. 
• Platform capabilities: A good hyperautomation service company should deliver all the core capabilities. It includes RPA, AI, machine learning, and process mining. Prioritize platforms that enable both technical and non-technical users to build and modify automations quickly. A hyperautomation service company should have the ability to grow with your business. It can support increased transactions and users.
• Pricing models: Analyze and compare the pricing models of every hyperautomation service company, not just implementation costs, but also license fees, ongoing support, user training, and potential maintenance. Ensure that their licensing model is transparent and measures per bot, per user, transaction volume, etc.
• Case studies and testimonials: Review their past projects' success on Clutch, Gartner, or G2. Favor companies with consistent client satisfaction and measurable ROI delivery.
• Security and compliance: Look for hyperautomation service providers that provide hyperautomation solutions that meet the industry’s compliance standards and include enterprise-grade security features such as access controls, audit logs, certifications like SOC 2 Type 1.

Future Trends in Hyperautomation

Due to new advancements and the demand to adopt automation tools, artificial intelligence (AI), and process optimization strategies. Hyperautomation is also expected to advance in new directions that reshape the future.

• Integration of AI and Machine Learning: Hyperautomation will experience more complex decision-making and will go beyond rule-based tasks. AI-driven bots will not only execute tasks but also learns from past historical data. This integration will increase efficiency over time.
• Generative AI and Agentic Automation: Generative AI will play a crucial role in shaping the hyperautomation landscape. Agentic AIs will take control over it and make decisions on their own, more or like humans. They can do all tasks like draft documents, summarize reports, generate insights, and provide customer query services.
• Process Mining and Task Mining: The Future will see more of process mining and Task mining to discover automation opportunities continuously. These tools will provide actionable insights into operational inefficiencies, deviations, and bottlenecks. Real-time monitoring and predictive analytics allow businesses to improve their processes.
• Low-code/No-code automation (LCNC): LCNC will become the foundation of hyperautomation. With user-friendly and drag-and-drop interfaces, dependency on technical persons will be reduced. 
• Human and Digital Workforce: Rather than replacing humans in development and testing fields, AI will act as their partner. Because of AI-driven hyperautomation, chatbots will have enhanced human capabilities. This will create improved efficiency and the creation of new strategic roles for employees.

Why Choose Entrans as Your Hyperautomation Partner?

Business operations should be transformed to use AI, RPA, and advanced analytics to automate end-to-end processes. Partnering with a reliable partner like Entrans will help you to reduce costs, increase efficiency, and scale up the operations with faster speed. 

Entrans provides end-to-end automation expertise from process discovery, RPA, AI/ML integration, intelligent document processing, and workflow automation. We provide customized hyperautomation solutions to your industry with a proven track record of migrations.

Want to know more about how we ensure smooth, efficient, and secure implementation? Book a consultation call.

Frequently Asked Questions (FAQs):

1. How is hyperautomation different from traditional automation or RPA?

Traditional RPA handles only rule-based repetitive tasks without decision-making capabilities, whereas hyperautomation goes beyond RPA by combining advanced technologies like AI/ML and Process Mining.

2. What are the benefits of implementing HyperAutomation services?

The hyperautomation benefits are reduced errors, improved efficiency, significant cost savings, and improved data-driven decision-making. By this, it increases business agility and boosts customer satisfaction.

3. What does a typical hyperautomation implementation journey look like?

Hyperautomation implementation starts with process analysis and discovery. Next, it automates and orchestrates, monitoring and optimizing. This will ensure high ROI and scaling across the organization.

4. Can hyperautomation integrate with existing systems?

Yes, hyperautomation can integrate with existing systems. It is achieved through RPA’s surface-level interaction, APIs, and iPaaS tools. 

5. How long does a hyperautomation project take?

A hyperautomation project depends on complexity, scope, and the number of processes to be automated.. Small automation may take a few weeks, while large automation projects can take several months to complete.