9 RPA Companies to Know in 2026: Software, Services & Industry Use Cases

RPA companies take different approaches to automating repetitive, rule-based work. Some provide packaged platforms for building and orchestrating software bots, while others develop custom automation around proprietary workflows, legacy systems, desktop applications, browsers, and enterprise software. Choosing between them therefore involves more than comparing feature lists.

The right fit depends on the processes being automated, existing applications and APIs, security and governance requirements, internal automation expertise, and who will maintain the solution when systems change. This guide compares nine RPA companies across software and service-led delivery models, then looks at industry use cases and practical buyer checks. Companies appear alphabetically after qualification and are not ranked from best to worst.

Key Takeaways

• The right RPA company depends on your existing tech stack and whether you require a software platform or an implementation partner.
• Stable, repetitive, and rule-based processes are generally stronger automation candidates than highly variable workflows.
• Long-term exception handling, governance, and maintenance matter as much as the initial speed of building a bot.
• Specific industry constraints can materially affect deployment, security, oversight, and integration requirements.

What Is RPA, and What Do RPA Companies Provide?

Robotic process automation (RPA) uses software bots to perform repetitive, rule-based interactions with digital systems. Providers of RPA software and services deliver platforms, custom bot development, process discovery, orchestration, integration, monitoring, maintenance, and intelligent document or AI-assisted automation. This technology is especially useful for legacy user interfaces that lack convenient APIs, though native API integrations remain more durable when strong, direct system connections already exist.

How We Selected These RPA Companies

We selected companies with a current, documented RPA offering or automation delivery model relevant to RPA implementation. Our review prioritizes official product documentation and current implementation evidence, then considers each provider according to its delivery model, including RPA depth, integration options, orchestration, governance, deployment, exception handling, industry relevance, and lifecycle support.

Companies appear alphabetically after qualification and are not ranked. Scopic publishes this article and is included as a custom software and automation development option rather than a packaged RPA platform, so its fit is evaluated according to that different delivery model.

RPA Companies at a Glance

Compare these nine RPA companies to align your scope with a platform purchase or a custom-service engagement. Use the delivery model and ecosystem fit to narrow the field, then validate the buyer check before proceeding.

1 Appian

Appian provides RPA within its broader low-code process automation platform. Its robotic tasks can interact with desktop, browser, legacy, and mainframe applications, while Appian processes can coordinate automated work with people, integrations, and other workflow components.

Why it made the shortlist: Appian continues to actively develop its RPA capabilities, including browser and mainframe automation, credential management, and robotic-task orchestration.

Best for: Organizations that want RPA integrated into a wider low-code process and case-management environment.

Buyer check: Validate whether the broader Appian platform is justified, along with target-system compatibility, infrastructure, governance, and maintenance requirements.

2 Automation Anywhere

Automation Anywhere provides an enterprise automation platform combining RPA with broader intelligent and agentic automation capabilities. Its environment supports bot development, centralized management, enterprise integrations, and governance across automated workflows.

Why it made the shortlist: The platform represents a mature enterprise RPA model while illustrating how traditional deterministic automation is increasingly being combined with AI-assisted capabilities.

Best for: Enterprises seeking a cloud-oriented platform that combines traditional RPA with broader intelligent automation.

Buyer check: Validate licensing, deployment architecture, exception handling, system integrations, governance, and whether agentic functionality is actually required for the processes in scope.

3
Microsoft

Microsoft Power Automate provides desktop flows for automating Windows desktop applications and web-based tasks, with cloud flows providing wider workflow orchestration across the Power Platform ecosystem.

Why it made the shortlist: Microsoft explicitly positions desktop flows as its RPA capability, with support for desktop automation, attended and unattended execution, machine management, and integration with wider Power Platform workflows.

Best for: Organizations already invested in Microsoft 365, Power Platform, Azure, or Windows.

Buyer check: Validate licensing, unattended capacity, machine-management requirements, compatibility with non-Microsoft applications, and whether native connectors or APIs could replace UI-level automation.

4
Nintex

Nintex provides RPA for automating repetitive work across applications using visual recognition, OCR, robotic workflows, and centralized RPA management. Its RPA offering sits alongside Nintex’s broader process, workflow, forms, document, and orchestration capabilities.

Why it made the shortlist: Nintex continues to actively maintain its RPA product in 2026, including Studio, robot-management capabilities, APIs, visual recognition, and OCR-oriented automation.

Best for: Organizations that want RPA alongside broader workflow, process-management, forms, and document automation.

Buyer check: Validate application compatibility, deployment architecture, orchestration needs, OCR requirements, product version, and fit with the wider Nintex environment.

5 Pega

Pega supports attended and unattended robotic automation alongside enterprise workflow and case-management capabilities. Robot Manager provides centralized control for deploying, monitoring, scheduling, and managing robotic workloads.

Why it made the shortlist: Pega remains relevant where RPA must work within complex customer-service, case-management, or rules-driven business processes rather than operating as an isolated bot layer.

Best for: Enterprises combining RPA with complex customer-service, case-management, or enterprise workflows.

Buyer check: Confirm the existing Pega footprint, target applications, bot-management requirements, exception handling, specialist skills, and whether native integration would be more maintainable.

6 Scopic Software

Scopic develops custom software and automation around proprietary workflows, legacy systems, APIs, and industry-specific requirements rather than selling a standalone RPA platform. Its broader automation capabilities span custom software integration and AI-enabled workflow automation where deterministic RPA alone is not sufficient.

Why it made the shortlist: Scopic represents the service-led alternative to packaged RPA software, with documented custom software, integration, and automation capabilities that can be applied where workflows require a tailored architecture.

Best for: Organizations needing custom automation around proprietary processes, unusual integrations, legacy applications, or requirements that do not fit cleanly into a standard platform.

Buyer check: Determine which steps genuinely require UI-level RPA, which should use APIs or custom integration, and who will own credentials, exception handling, monitoring, regression testing, and long-term maintenance.

7
ServiceNow

ServiceNow’s RPA Hub provides attended and unattended automation for interacting with applications through user interfaces, particularly where APIs are unavailable or impractical. RPA Hub also centralizes robot configuration, scheduling, queues, credentials, monitoring, and lifecycle management within the ServiceNow environment.

Why it made the shortlist: ServiceNow integrates RPA directly into its workflow platform and continues to actively update RPA Hub, including AI-assisted automation development.

Best for: Organizations already using ServiceNow that need UI-level automation integrated with existing ServiceNow workflows.

Buyer check: Validate licensing, robot capacity, credential management, legacy-system dependencies, and whether Integration Hub or direct APIs could replace selected bots.

8
SS&C Blue Prism

SS&C Blue Prism provides enterprise RPA and intelligent automation centered on centrally governed digital workers. Its automation model is particularly associated with operational control, auditability, and large-scale automation in enterprise environments.

Why it made the shortlist: Blue Prism remains part of SS&C’s current automation architecture, including deterministic RPA alongside AI and human workflows, with particular relevance to finance and other controlled operational environments.

Best for: Large organizations and regulated businesses that prioritize governed enterprise automation and digital-worker management.

Buyer check: Validate infrastructure, licensing, staffing and skills, credential controls, bot governance, maintenance responsibilities, and scaling requirements.

9
UiPath

UiPath provides a platform featuring Studio for design, Orchestrator for governance and monitoring, and attended and unattended robots. According to UiPath, the platform combines UI and API automation with cloud or self-hosted options, positioning AI as an extension rather than a replacement for RPA.

Best for: Enterprises requiring a broad RPA environment covering bot development, orchestration, attended/unattended execution, and mixed legacy/cloud systems.

Buyer check: Validate licensing, infrastructure, automation-maintenance capacity, application compatibility, and whether advanced AI or agentic features are necessary.

RPA Use Cases by Industry

Organizations should compare RPA vendors against sector requirements, existing applications, and workflow constraints. The table below highlights candidate platforms and the evidence teams should verify before deployment, helping buyers decide whether a pre-packaged platform or custom development approach better fits the workflow.

For organizations requiring tailored integrations, Scopic develops industry-specific software solutions that can be adapted to specialized operational workflows.

How to Evaluate an RPA Company

Compare delivery models with your technical environment, integration requirements, and operating model. Use this framework to evaluate fit, implementation evidence, and ongoing operational criteria.

RPA Software vs RPA Development Company

RPA software can fit organizations with internal automation expertise, standardized processes, and the capacity to manage bot governance and maintenance. An RPA development company may be more appropriate when workflows are proprietary, integrations are unusually complex, legacy systems require tailored handling, or the organization does not have a dedicated automation team.

RPA services companies may support process discovery, implementation, testing, deployment, and ongoing maintenance, including implementation of commercial platforms such as Power Automate or UiPath. In other cases, direct APIs or custom software development may provide a more maintainable solution than UI-based RPA. The architecture should follow the process and systems involved rather than defaulting to one automation approach.

Conclusion

Selecting an RPA company starts with the process rather than the vendor. Teams should determine whether the workflow is sufficiently stable for automation, where UI interaction is genuinely required, which integrations can use APIs, and how exceptions, credentials, monitoring, and maintenance will be managed.

The appropriate delivery model may be a packaged RPA platform, a service partner, custom automation, or a combination of approaches. If your workflow requires tailored automation around proprietary or legacy systems.  Contact us to discuss the architecture and implementation approach.

FAQ

What is RPA?

Robotic Process Automation (RPA) refers to software technology that deploys digital workers, or “bots,” to execute repetitive, rule-based tasks. These software robots are not physical machines, but rather software programs configured to interact with digital systems. They replicate human actions like copying data, filling out forms, and navigating user interfaces. Unlike probabilistic AI agents that make autonomous decisions, RPA operates on deterministic logic, utilizing UI automation or API connections to complete tasks.

What does an RPA company do?

An RPA company can serve different roles depending on its business model. Platform vendors develop and license the core RPA software that organizations use to build and run bots, while implementation partners configure these platforms for specific workflows. Meanwhile, RPA development companies build custom, tailored automation solutions that often bypass standard platform licensing. The appropriate model depends on whether the organization needs software, implementation support, custom development, or a combination of these.

How do I choose between RPA software and an RPA development company?

The choice depends on your internal technical capability, workflow complexity, and long-term governance needs. If your team has strong IT expertise and wants to manage standardized workflows, purchasing RPA software directly may be suitable. However, highly complex integrations or legacy systems often require the specialized expertise of an RPA development company to build custom solutions. A development partner can also support security controls, governance, implementation, and maintenance where those responsibilities cannot be handled internally.

Which industries use robotic process automation?

Robotic process automation is widely used across healthcare, finance, manufacturing, retail/e-commerce, and education. In these sectors, bots handle tasks like invoice processing, patient scheduling, inventory tracking, and student record updates. However, specific process characteristics matter more than the industry alone, as the most successful candidates are highly repetitive and rule-based. Whether automating clinical records or financial ledgers, the stability of the workflow and the quality of the underlying data determine the success of the deployment.