The automation landscape is evolving rapidly. While Robotic Process Automation (RPA) has been a game-changer for repetitive, rule-based tasks, the next wave—Agentic Process Automation (APA)—is set to revolutionize how businesses handle complex, dynamic workflows. Companies like Maisa.ai are leading this transition, leveraging Artificial intelligence (AI) agents that can reason, learn, and adapt in real-time.
What is Agentic Process Automation (APA)?
Unlike RPA, which follows predefined scripts, APA uses autonomous AI agents capable of:
- Dynamic decision-making (handling unstructured data)
- Self-learning (improving over time with LLMs and reinforcement learning)
- Multi-agent collaboration (orchestrating workflows across systems)
This shift enables end-to-end automation of knowledge work, from customer service to financial analysis, without rigid programming.
20 Key Startups Driving the APA Revolution
As Damalion supports startups, we share with you, the list of the most innovative companies advancing Agentic Process Automation worldwide:
1. Adept AI
📍 San Francisco, USA | $415M Series B
🔹 Investors: Greylock, General Catalyst, Microsoft
🚀 Why Special: Adept AI builds ACT-1, an agent that learns software workflows by observation. Combines computer vision and LLMs to operate any GUI application without scripting, ideal for complex enterprise systems.
2. Sierra
📍 San Francisco, USA | $110M Series A
🔹 Investors: Sequoia, Benchmark
🚀 Why Special: Sierra develops context-aware customer service agents with conversation memory. Achieves 80% containment rate by dynamically handling unstructured queries, learning from each interaction.
3. Ema
📍 Palo Alto, USA | $25M Seed
🔹 Investors: Section 32, Prosus Ventures
🚀 Why Special: Ema creates “universal AI employees” that switch roles instantly. Its Exponential Memory Architecture securely accumulates organizational knowledge while maintaining data privacy.
4. Fixie.ai
📍 Seattle, USA | $17M Seed
🔹 Investors: Madrona, GGV Capital
🚀 Why Special: Fixie.ai automates sales/support by integrating real-time CRM data with AI. Unique human-in-the-loop design handles routine tasks while escalating complex cases appropriately.
5. Braintrust AI
📍 New York, USA | $6M Seed
🔹 Investors: Bloomberg Beta, Coatue
🚀 Why Special: Braintrust AI specializes in financial compliance, transforming regulations into executable policies. Reduces false AML alerts by 90% and adapts to regulatory changes within hours.
6. Imbue
📍 San Francisco, USA | $210M Series B
🔹 Investors: NVIDIA, Astera Institute
🚀 Why Special: Imbue trains foundational models specifically for reasoning and coding. Its agents autonomously debug software by generating and testing hypotheses iteratively.
7. Magic.dev
📍 San Francisco, USA | $28M Series A
🔹 Investors: Nat Friedman, Elad Gil
🚀 Why Special: Magic.dev builds AI software engineers that manage entire codebases. Its “chain of verification” system ensures code quality, specializing in legacy system maintenance.
8. Dust
📍 Paris, France | $5.5M Seed
🔹 Investors: Sequoia, XYZ Ventures
🚀 Why Special: Dust enables business teams to build agents via natural language. Automatically generates compliance documentation and is deployed by European banks for regulatory reporting.
9. Robocorp
📍 Helsinki, Finland | $46M Series B
🔹 Investors: Benchmark, Canvas Ventures
🚀 Why Special: Robocorp bridges RPA and APA with open-source tools. Supports hybrid human-AI workflows and boasts over 10,000 active developer contributors.
10. SuperAGI
📍 Singapore | Y Combinator-backed
🚀 Why Special: SuperAGI provides open-source frameworks for building safe, interpretable agents. Over 15,000 developers use its modular components for memory and planning systems.
11. MultiOn
📍 San Francisco, USA | $10M Seed
🔹 Investors: General Catalyst, OpenAI Fund
🚀 Why Special: MultiOn develops agents that autonomously complete web tasks like flight bookings. Interacts with websites dynamically using human-like navigation patterns.
12. Relevance AI
📍 Sydney, Australia | $3.2M Seed
🔹 Investors: Blackbird Ventures
🚀 Why Special: Relevance AI offers no-code agent creation for business teams. Specializes in data analysis workflows through natural language instructions.
13. Induced AI
📍 Bangalore, India | $2.3M Seed
🔹 Investors: Peak XV, SignalFire
🚀 Why Special: Induced AI builds browser-native agents for web automation. Uses a unique “neural symbolic” approach to ensure reliable task execution across websites.
14. Inflection AI
📍 Palo Alto, USA | $1.5B Funding
🔹 Investors: Microsoft, NVIDIA
🚀 Why Special: Inflection AI’s personal assistant “Pi” evolves into agentic workflows. Features proprietary emotional intelligence models for more natural interactions.
15. MindsDB
📍 San Francisco, USA & Berlin, Germany | $46.5M Series A
🔹 Investors: Benchmark, Mayfield
🚀 Why Special: MindsDB embeds AI agents directly into databases. Enables real-time analytics automation for enterprise clients including Walmart and Intel.
16. GPTZero
📍 Toronto, Canada | $3.5M Seed
🔹 Investors: Uncork Capital
🚀 Why Special: GPTZero develops specialized agents for content moderation. Detects AI-generated text with 95% accuracy while continuously adapting to new patterns.
17. SmythOS
📍 Austin, USA | $5M Seed
🚀 Why Special: SmythOS focuses on enterprise-scale agent orchestration. Enables management of hundreds of specialized agents across different business units.
18. Ambi Robotics
📍 Berkeley, USA | $32M Series A
🔹 Investors: Tiger Global, Bow Capital
🚀 Why Special: Ambi Robotics combines physical robots with APA for warehouse automation. Uses sim-to-real AI training for rapid adaptation to new environments.
19. Maisa.ai
📍 São Paulo, Brazil | Y Combinator-backed
🚀 Why Special: Maisa.ai tailors APA solutions for Latin American markets. Specializes in banking and healthcare with Portuguese/Spanish language optimization.
20. AutoGPT
📍 Open-source project
🚀 Why Special: AutoGPT pioneered fully autonomous AI agents. Its recursive self-improvement framework inspired numerous commercial APA startups.
Why APA is the Future
Autonomous Process Automation (APA) is a very exciting shift for the following reasons:
1. Beyond Rule-Based Automation – APA handles ambiguity, unlike RPA which fails with unstructured inputs
2. Continuous Learning – Agents improve with usage (e.g., Adept’s ACT-1 model)
3. Human-AI Collaboration – Sierra’s agents work alongside customer service teams
One of the main challenges is trust and reliability—ensuring that agents make safe and responsible decisions. Companies like Imbue are specifically focused on addressing this issue. Another significant hurdle is integration, as many legacy systems are not well-equipped to support agentic workflows. Robocorp is working to bridge this gap. Regulation also poses a challenge, particularly in highly regulated sectors such as finance. Braintrust is actively addressing compliance concerns in this area.
The transition from Robotic Process Automation (RPA) to Autonomous Process Automation (APA) represents a paradigm shift—from rigid, rule-based systems to intelligent, adaptive agents. Startups such as Maisa.ai in Latin America, Dust in Europe, and Adept in the United States have raised millions in funding, signaling that the future of automation is indeed agentic.
🔹Download the Glossary to know more about Agentic Process Automation (APA)
Damalion supports startups of various sectors to raise funds (from pre-seed to series A, B, C). To win your fundraise, please contact your Damalion expert now.
