What are the best hyperautomation platforms?

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Hyperautomation has evolved from a buzzword to a business imperative in 2025, with over $190 million in venture funding flowing into startups that orchestrate AI, RPA, and process mining into unified platforms.

Banking, retail, and manufacturing are leading adoption, while UiPath, Microsoft, and Automation Anywhere dominate the enterprise space. Evolution Equity Partners and Bessemer Venture Partners are the most active investors, particularly targeting AI-first security automation and vertical-specific solutions.

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What is hyperautomation and which industries are adopting it fastest in 2025?

Hyperautomation represents a business-driven approach to rapidly identify and automate processes by orchestrating multiple technologies including AI, ML, RPA, process mining, iPaaS, and low-code/no-code platforms into unified workflows.

Banking, Financial Services, and Insurance lead adoption due to high transaction volumes requiring compliance and fraud-detection automation. Retail follows closely with supply-chain optimization and personalized customer experience demands. IT & Telecom sectors prioritize network operations automation and service-desk efficiency improvements.

Manufacturing leverages predictive maintenance and digital twins for process optimization, while Healthcare & Life Sciences focus on intelligent document processing and patient-care workflows. North America leads in absolute adoption volumes, but Asia-Pacific shows the highest growth rates at approximately 17% CAGR, particularly in India, China, and Southeast Asia.

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Which companies are currently leading the hyperautomation platform space globally and what are their key differentiators?

UiPath dominates with its unified RPA studio featuring AI Fabric with GPT-5 connectors, advanced computer-vision RPA capabilities, and usage-based licensing that makes enterprise-grade automation affordable for mid-market companies.

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Which startups in hyperautomation have raised the most funding in 2024 and 2025 so far, from whom, and under what terms?

Torq leads startup funding with a $70 million Series C round in 2025, led by Evolution Equity Partners and Bessemer Venture Partners, focused on AI-first security hyperautomation and global HyperSOC scaling.

T-robotics secured $5.4 million in seed funding from Emergent Ventures and Engine Ventures for natural-language robot programming technology. Zvolv raised $2 million from Silverneedle Ventures and JSW Ventures for their low-code hyperautomation platform targeting India-US cross-border opportunities.

Fluna obtained $511,000 in seed funding from Hiker Ventures, focusing on AI-driven process integration in Latin American markets. Total disclosed funding across major rounds reached $147.9 million in 2024 and first half of 2025, with the broader sector attracting over $190 million in venture capital.

Investment terms typically include board seats for lead investors, with Evolution Equity Partners particularly active in cybersecurity-focused automation and Bessemer Venture Partners targeting enterprise AI applications with their "AI revolution from CPUs to GPUs" thesis.

Which venture capital firms and corporate investors are the most active in this space, and what are their investment theses?

Evolution Equity Partners leads cybersecurity-focused hyperautomation investments with a thesis centered on AI-powered security automation, backing Torq to scale autonomous SOC capabilities for security teams worldwide.

Bessemer Venture Partners invests broadly in enterprise AI with their "AI revolution from CPUs to GPUs" thesis, focusing on vertical AI applications and LLM infrastructure. They co-led Torq's Series C and previously backed Hyperscience, targeting companies that embed AI into traditional business processes.

Emergent Ventures and Engine Ventures specialize in early-stage robotics innovations, exemplified by their joint investment in T-robotics' natural-language programming platform. Silverneedle Ventures and JSW Ventures make strategic cross-border bets on India-US hyperautomation startups, leveraging talent arbitrage and market expansion opportunities.

Hiker Ventures focuses on Latin American markets, backing regional automation leaders like Fluna to capture emerging market digitization trends. Corporate investors include Microsoft through its venture arm, targeting companies that complement Azure AI services and Power Platform ecosystem expansion.

What are the most promising early-stage companies to watch in hyperautomation for 2026, based on funding, partnerships, or technology?

T-robotics emerges as a top early-stage prospect with its natural-language conversational programming for industrial robots, addressing the critical shortage of robotics programmers by enabling non-technical operators to program complex manufacturing workflows through simple voice commands.

Zvolv shows strong potential with its low-code orchestration platform enhanced by generative AI layers, targeting the growing demand for citizen developer tools in enterprise automation. Their India-US market strategy leverages cost advantages while serving global enterprises.

Fluna represents emerging market opportunity in Brazil's rapidly digitalizing economy, focusing on AI-driven system integration through intelligent connectors that automate previously manual integration processes.

Emerging AI-centric startups developing LLM orchestration platforms, autonomous agent frameworks, and vertical-specific process mining solutions represent the next wave of innovation. Companies focusing on healthcare automation, financial compliance automation, and manufacturing predictive maintenance show particular promise given regulatory tailwinds and enterprise budget allocation trends.

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Which hyperautomation platforms have won major awards, recognitions, or analyst accolades in 2024 and 2025?

Automation Anywhere maintains its position as Leader in Gartner Magic Quadrant for RPA for seven consecutive years through 2025, recognized for enterprise-grade, AI-powered RPA capabilities and cloud-native architecture.

ServiceNow earned Leader status in Forrester Wave: Task-Centric Automation Software (Q4 2024), achieving the highest scores in AI capabilities, vision, and partner ecosystem categories. Hyperscience won the Deep Analysis Innovation Award 2024 for Hypercell for GenAI, recognizing breakthrough document processing automation.

EvoluteIQ received the Gold Stevie® Award for its low-code/no-code hyperautomation enablement platform, highlighting ease of use and rapid deployment capabilities. Torq earned the Cybersecurity Excellence Award 2024 for enterprise-grade security hyperautomation and was named leader in agentic security automation platforms.

These awards reflect market recognition of platforms that successfully integrate AI capabilities, provide enterprise-grade security, and deliver measurable ROI through automated business processes.

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How much capital in total has been invested or raised in the hyperautomation sector in 2024 and so far in 2025?

Total venture funding in hyperautomation startups exceeded $190 million by mid-2025, reflecting sustained investor enthusiasm for automation technologies that combine AI, RPA, and process mining capabilities.

The disclosed funding breakdown shows $77.9 million raised in 2024 and $70 million in the first half of 2025, totaling $147.9 million across major announced rounds. This represents conservative estimates as many early-stage rounds and strategic investments remain undisclosed.

Torq's $70 million Series C represents the largest single funding round, accounting for nearly 37% of total disclosed investment. The funding concentration in AI-first security automation and robotics programming indicates investor preference for platforms addressing specific vertical needs rather than horizontal automation tools.

Corporate venture investments from Microsoft, Amazon, Google, and IBM likely add significant undisclosed capital through strategic partnerships, acquisitions, and minority investments in complementary technologies.

What technological breakthroughs in AI, RPA, LLM orchestration, or process mining have emerged in 2025, and what is on the horizon for 2026?

Cognitive AI integration enables real-time unstructured data handling, decision support, and anomaly detection within automated workflows, moving beyond rule-based automation to intelligent process adaptation.

Industrial AI applications deliver predictive maintenance and adaptive process controls in manufacturing, using sensor data and machine learning to optimize production workflows automatically. LLM orchestration platforms enable AI agents to manage process orchestration, triage, and remediation across multiple automation tools through natural language interfaces.

Advanced process mining incorporates AI-driven discovery capabilities, Digital Twin Organization (DTO) integration, and continuous improvement loops that enhance automation scope automatically. These technologies enable self-improving processes that adapt to changing business conditions without human intervention.

Looking toward 2026, autonomous agents will interoperate via standardized inter-agent protocols, enabling complex multi-system orchestration. Self-healing workflows will automatically detect and resolve process failures, while AI-powered digital twins will provide comprehensive modeling of enterprise process ecosystems for optimization and simulation.

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Which major tech players are backing or acquiring hyperautomation firms, directly or indirectly?

Microsoft leads through Power Automate integration with Copilot Studio, strategic RPA vendor acquisitions, and deep Azure AI service integration that enables natural-language workflow generation across the Microsoft 365 ecosystem.

Amazon leverages AWS Step Functions combined with AI/ML orchestration services, while AWS AI services provide event-driven process automation capabilities for enterprise customers. Google focuses on Google Cloud Workflows and Vertex AI orchestration for automation workflows enhanced by large language models.

IBM integrates hyperautomation through its Automation Platform for Digital Business and IBM Watson integration with RPA tools, targeting enterprise clients seeking AI-enhanced process automation. Salesforce embeds automation via Einstein Automate and MuleSoft Composer for process orchestration within CRM workflows.

These technology giants embed hyperautomation capabilities into broader cloud and AI portfolios through native services and strategic acquisitions rather than standalone hyperautomation platforms, creating competitive pressure on pure-play automation vendors.

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Which geographies are most active in hyperautomation innovation, startup creation, and capital deployment as of mid-2025?

North America maintains the highest absolute funding volumes and enterprise deployment rates, with Silicon Valley and New York leading venture investment activity and headquarters for major platform vendors like UiPath and Automation Anywhere.

Asia-Pacific demonstrates the fastest growth rates, particularly India and China as development hubs for automation talent and cost-effective solutions. Israel emerges as a cybersecurity-centric hyperautomation innovation center, exemplified by Torq's origins and focus on security automation platforms.

Latin America shows emerging opportunities, particularly Brazil where startups like Fluna address regional system integration challenges through AI-driven automation. Europe contributes through Nordic early-stage robotics automation companies like T-robotics, leveraging strong engineering talent and manufacturing heritage.

Cross-border investment patterns show India-US expansion strategies for talent arbitrage, while European companies focus on regulatory compliance automation for GDPR and emerging AI governance requirements.

What are the most common use cases, client segments, and implementation patterns driving platform adoption today?

Customer service automation combines AI chatbots with RPA for intelligent ticket routing and personalized support, reducing response times from hours to minutes while maintaining service quality through escalation workflows.

• Claims and loan processing leverage OCR and NLP for document extraction, coupled with decision bots for fraud detection and compliance verification
• Anti-money laundering and KYC workflows use intelligent data capture and risk scoring to automate regulatory compliance
• IT infrastructure automation includes provisioning, self-healing systems, and security patch orchestration
• Policy administration and financial reporting enable end-to-end report generation with audit-trail automation

Enterprises typically adopt phased rollouts, starting with high-volume, rule-based processes before layering cognitive capabilities and cross-department orchestration through Centers of Excellence (CoEs). Implementation patterns show 60% of organizations begin with finance and HR processes before expanding to customer-facing operations.

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What regulatory, competitive, or infrastructure shifts could impact the growth and consolidation of the hyperautomation platform market by 2026?

Evolving data privacy and AI governance mandates, particularly the EU AI Act, require automation platforms to embed compliance features and model transparency capabilities, creating competitive advantages for platforms with built-in governance frameworks.

Low-code/no-code democratization intensifies competitive pressure as non-technical "citizen developers" expand automation scope beyond IT departments, favoring platforms with intuitive interfaces over complex enterprise tools. This trend accelerates market consolidation as smaller vendors struggle to match the feature breadth of major platforms.

Infrastructure shifts toward cloud-native, multi-tenant architecture and GPU-accelerated AI become standard requirements, while edge computing enables local process automation for latency-sensitive applications in manufacturing and healthcare.

Consolidation patterns show platform leaders acquiring niche innovators in LLM orchestration and process mining, while smaller pure-play vendors face absorption into broader cloud portfolios from Microsoft, Amazon, and Google. By 2026, expect 3-5 dominant platforms controlling 70% of enterprise automation spending.

Conclusion

Sources

1. Quick Market Pitch - Hyperautomation Funding
2. SAP - What is Hyperautomation
3. Gartner - Hyperautomation Glossary
4. Precedence Research - Hyperautomation Market
5. Market Report Analytics - Hyperautomation Market
6. Galaxy - Best Automation Platforms 2025
7. PR Newswire - Automation Anywhere Gartner Leader
8. ServiceNow - Forrester Wave TCAS 2024
9. Calcalist Tech - Evolution Equity
10. Cybersecurity Ventures - Evolution Equity
11. Bessemer Venture Partners - AI Book 2024
12. Bessemer Venture Partners - Hyperscience Investment
13. Hyperscience - Deep Analysis Innovation Award
14. EvoluteIQ - Stevie Award
15. Cybersecurity Excellence Awards - Torq
16. SuperAGI - AI Orchestration Trends 2025
17. AI Multiple - Hyperautomation Examples
18. Automation Edge - Hyperautomation Use Cases
19. Torq - Series C Announcement
20. Gartner - Enterprise Network Automation 2026