Which hyperautomation startups received investment?

This blog post has been written by the person who has mapped the hyperautomation market in a clean and beautiful presentation

Hyperautomation startups raised $147 million across major funding rounds in 2024 and early 2025, with Torq leading at $70 million Series C.

This sector attracts venture capital through AI-driven orchestration platforms, natural-language robot programming, and security automation solutions targeting enterprise workflow optimization.

And if you need to understand this market in 30 minutes with the latest information, you can download our quick market pitch.

Which hyperautomation startups raised funding in 2024 and 2025, and how much did each company secure?

Four major hyperautomation startups raised $147 million total across distinct funding rounds between January 2024 and July 2025.

Who are the most active investors in hyperautomation startups, and which companies have they specifically backed?

Evolution Equity Partners and Bessemer Venture Partners lead hyperautomation investments through their participation in Torq's $70 million Series C round.

These investors focus specifically on AI-driven security automation and enterprise workflow optimization platforms. Evolution Equity Partners participated in both Torq funding tranches (September 2024 and July 2025), demonstrating sustained commitment to the hyperautomation security sector.

Emergent Ventures and Engine Ventures target early-stage robotics automation through their T-robotics seed investment, while Silverneedle Ventures and JSW Ventures concentrate on low-code hyperautomation platforms in emerging markets. Hiker Ventures specializes in Latin American process integration startups through their Fluna investment.

Need a clear, elegant overview of a market? Browse our structured slide decks for a quick, visual deep dive.

If you want fresh and clear data on this market, you can download our latest market pitch deck here

What do these hyperautomation startups actually do—their core products, use cases, and market differentiators?

These startups develop AI-powered platforms that automate complex enterprise workflows through natural language interfaces and generative AI orchestration.

Torq operates an AI-first security hyperautomation platform called "HyperSOC" that automates SOC incident triage, investigation, and response at machine speed. Their platform leverages natural language processing and generative AI for autonomous security workflows, targeting enterprise cybersecurity teams managing thousands of daily alerts.

T-robotics builds "ActGPT," a conversational programming interface enabling non-technical users to teach industrial robot arms complex manufacturing tasks through natural language commands. Their pre-trained skill-model library eliminates traditional robot programming requirements, targeting manufacturing facilities seeking rapid automation deployment.

Zvolv provides a low-code/no-code hyperautomation platform embedding generative AI orchestration layers into enterprise workflows for rapid application development. Their solution targets citizen developers and business users requiring workflow automation without technical programming skills.

Fluna develops AI-driven process integration tools mapping heterogeneous systems like Outlook, SAP, and Stripe into automated end-to-end workflows, specifically targeting Brazilian and Latin American enterprise markets seeking system consolidation.

Which startup secured the largest funding round, and what are their specific capital deployment plans?

Torq raised the largest funding round at $70 million Series C across two tranches in September 2024 and July 2025.

Torq plans to deploy this capital across three strategic priorities: expanding EMEA and APAC operations through regional sales teams and localized security partnerships, hiring world-class engineering talent for R&D acceleration, and enhancing generative AI capabilities for advanced threat hunting and autonomous security workflows.

The company targets geographic expansion into European and Asia-Pacific markets where cybersecurity automation adoption lags behind North American enterprise deployment. Their R&D investments focus on developing autonomous incident response capabilities that reduce security analyst workload by 80-90% while improving threat detection accuracy.

Torq's total funding reached $192 million across all rounds, indicating investor confidence in their path toward a $1 billion annual recurring revenue target by 2026. Their aggressive scaling strategy positions them for potential market leadership in security hyperautomation ahead of traditional cybersecurity vendors.

Which specific technologies or research breakthroughs are receiving active funding in hyperautomation?

Investors prioritize four core technology categories: generative AI orchestration, natural-language robot programming, intelligent document processing, and security hyperautomation platforms.

Generative AI orchestration receives the highest funding allocation, with Torq and Zvolv embedding trust-based AI layers into workflow orchestration systems. These platforms enable non-technical users to create complex automated workflows through conversational interfaces, reducing implementation time from months to hours.

Natural-language robot programming attracts significant early-stage investment through T-robotics' ActGPT platform, which enables conversational interfaces for industrial automation. This breakthrough eliminates traditional programming barriers in manufacturing environments, allowing floor supervisors to teach robots new tasks through spoken instructions.

Security hyperautomation represents the most mature funding category, with AI-driven SecOps automation platforms achieving enterprise scale deployment. These solutions process thousands of security alerts automatically, performing investigation and response actions that previously required human analysts.

Wondering who's shaping this fast-moving industry? Our slides map out the top players and challengers in seconds.

Which countries and regions attract the most hyperautomation startup investment capital?

North America dominates hyperautomation investment with 77% of total funding ($113 million), primarily concentrated in US-based startups with Israeli R&D operations.

The United States leads with Torq's $70 million Series C and T-robotics' $5.4 million seed round, totaling $75.4 million in domestic funding. Asia-Pacific follows with Zvolv's $2 million India-US venture round, representing 14% of total investment. Latin America captures 3% through Fluna's $511,000 Brazilian seed round.

Geographic expansion strategies show investors targeting EMEA and APAC markets for growth opportunities. Torq specifically allocates Series C capital for European and Asia-Pacific operations, while T-robotics scales across US and EU manufacturing facilities simultaneously.

Emerging markets demonstrate early-stage activity with Zvolv targeting Indian enterprises and Fluna focusing on Brazilian process automation. These regions offer cost-effective R&D capabilities and rapidly growing enterprise automation demand, attracting international venture capital seeking geographic diversification.

If you want to build or invest on this market, you can download our latest market pitch deck here

Are major tech companies or industry giants investing in or acquiring hyperautomation startups?

Major tech companies remain notably absent from direct hyperautomation startup investments and acquisitions during 2024-2025.

ABB represents the only Fortune 500 engagement through their AI Startup Challenge, selecting T-robotics as winner for technology collaboration rather than direct investment. This partnership provides T-robotics access to ABB's global manufacturing network and industrial automation expertise without equity participation.

Traditional venture capital firms lead hyperautomation investments instead of corporate venture capital arms from major tech companies. Evolution Equity Partners, Bessemer Venture Partners, and Emergent Ventures drive funding rounds without participation from Google Ventures, Microsoft Ventures, or Amazon's venture arms.

This absence suggests major tech companies either develop hyperautomation capabilities internally or plan future acquisitions after startups achieve greater market validation. The lack of corporate venture involvement creates acquisition opportunities for strategic buyers seeking established hyperautomation platforms with proven enterprise traction.

What are the most common funding stages for hyperautomation startups currently—seed, Series A, or growth rounds?

Hyperautomation funding concentrates in seed and growth stages, with Series C representing 48% of total investment despite comprising only 25% of deal volume.

Seed rounds account for 50% of deals through T-robotics ($5.4 million) and Fluna ($511,000), indicating strong early-stage investor interest in hyperautomation technologies. These rounds typically fund initial product development and early customer acquisition in specialized verticals like industrial robotics and regional process automation.

Growth-stage funding dominates capital allocation with Torq's $70 million Series C representing the largest single investment. This late-stage funding supports international expansion and enterprise sales scaling rather than core technology development, suggesting market maturity in security hyperautomation.

Venture rounds like Zvolv's $2 million investment represent intermediate funding between traditional Series A and Series B classifications, targeting platform expansion and generative AI integration. The absence of traditional Series A rounds suggests startups either bootstrap through seed funding or rapidly scale to growth-stage investment.

What were the typical deal sizes and valuation ranges in these recent hyperautomation investments?

Deal sizes range from $511,000 to $70 million, with seed rounds averaging $3 million and growth rounds exceeding $50 million in enterprise-focused segments.

If you need to-the-point data on this market, you can download our latest market pitch deck here

Are corporate venture capital arms involved in any of the top hyperautomation investments?

Corporate venture capital arms remain absent from major hyperautomation funding rounds, with traditional venture capital firms leading all significant investments.

Independent venture capital firms dominate the investment landscape: Evolution Equity Partners, Bessemer Venture Partners, Emergent Ventures, Engine Ventures, Silverneedle Ventures, JSW Ventures, and Hiker Ventures drive all documented funding rounds. These firms bring specialized expertise in enterprise software, security automation, and AI technologies without corporate strategic constraints.

The absence of corporate venture capital suggests two market dynamics: major corporations prefer internal hyperautomation development or plan strategic acquisitions after market validation. Companies like Microsoft, Google, IBM, and Salesforce invest heavily in internal automation capabilities rather than external startup partnerships.

Looking for the latest market trends? We break them down in sharp, digestible presentations you can skim or share.

What is the total amount of capital invested into hyperautomation startups in 2024 and 2025?

Hyperautomation startups raised $147 million total across 2024 ($77.9 million) and the first half of 2025 ($70 million).

2024 funding reached $77.9 million across four distinct rounds: Fluna's $511,000 seed round in January, Zvolv's $2 million venture round in February, Torq's initial Series C tranche in September, and T-robotics' $5.4 million seed round in December. This distribution shows consistent quarterly funding activity throughout the year.

The first half of 2025 contributed $70 million through Torq's Series C extension in July, representing 47% of total period funding in a single transaction. This concentration indicates investor confidence in mature hyperautomation platforms with proven enterprise traction and global expansion capabilities.

Total investment velocity averaged $8.2 million per month across the 18-month period, with acceleration toward larger deal sizes as the market matures. Growth-stage funding increasingly dominates capital allocation as hyperautomation technologies achieve enterprise adoption and demonstrate sustainable revenue models.

What are analysts and insiders forecasting for hyperautomation funding trends in 2026?

Industry analysts predict continued acceleration in hyperautomation funding driven by generative AI integration and cybersecurity automation imperatives.

Gartner forecasts 65% of large enterprises will deploy hyperautomation strategies by 2026, driving enterprise spending increases exceeding 20% year-over-year. This adoption curve creates significant market opportunities for startups providing AI-driven orchestration, security automation, and natural-language workflow interfaces.

Investment focus will shift toward companies demonstrating measurable ROI through automation deployment, with emphasis on platforms reducing enterprise operational costs by 30-50% while improving process accuracy. Security hyperautomation represents the highest-growth segment due to increasing cyber threats and analyst shortage constraints.

Geographic expansion continues as North American startups target European and Asia-Pacific markets, while emerging market players seek international scaling opportunities. Funding rounds will likely increase in size as successful platforms require significant capital for global enterprise sales and localized automation deployment across diverse regulatory environments.

Planning your next move in this new space? Start with a clean visual breakdown of market size, models, and momentum.

Conclusion

Sources

1. Economic Times - Zvolv Funding
2. The SaaS News - Fluna Seed Round
3. Business Wire - T-robotics Funding
4. Torq - Series C Announcement
5. Bank Info Security - Torq Investment
6. Latam List - Fluna Funding Details
7. Pulse 2.0 - Torq Series C
8. TechCrunch - Torq Series B