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Focus Area

Agentic Systems

Autonomous AI agents that can plan, execute, and learn from complex multi-step tasks. The next frontier of AI: systems that don't just respond, but act.

$52.6B

Market Size by 2030

46.3% CAGR growth

40%

Enterprise App Integration

With AI agents by 2026

30%

Autonomous Decisions

Enterprise AI by 2028

20-30%

Workflow Acceleration

Early adopter results

Our Investment Thesis

We're moving from AI that responds to AI that acts. Agentic systems represent a fundamental shift: from chatbots and copilots to autonomous agents that can break down complex goals, use tools, and execute multi-step workflows with minimal human oversight.

The infrastructure for agentic AI is still being built. We're investing in both the picks-and-shovels companies enabling this future and the application companies deploying agents to transform specific industries.

The winners in agentic AI will combine deep technical capabilities (planning, tool use, memory, multi-agent coordination) with domain expertise that allows them to deliver reliable, production-ready solutions.

While nearly two-thirds of organizations are experimenting with AI agents, fewer than one in four have successfully scaled them to production. This gap is 2026's central business challenge, and we're backing the companies solving it.

What We Look For

  • True agentic capabilities, not rebranded automation
  • Production-ready reliability and error handling
  • Clear workflow ownership and measurable outcomes
  • Multi-agent orchestration capabilities
  • Strong integration with enterprise systems
  • Teams with both AI expertise and domain knowledge

Market Insight

Only ~130 of thousands of claimed "AI agent" vendors are building genuinely agentic systems

Watch for "agent washing" as vendors rebrand existing automation. The key differentiator isn't model sophistication, it's the willingness to redesign workflows rather than layer agents onto legacy processes.

Key Trends Shaping the Market

The forces driving innovation and creating new opportunities in this space.

From Assistants to Autonomous Workflows

Enterprise AI evolving from passive assistants to autonomous teammates that directly drive work. Agents taking initiative and executing multi-step processes end-to-end.

Multi-Agent Orchestration

Moving from single general-purpose agents to multiple specialized agents working together. Each agent handles a defined responsibility while an orchestration layer coordinates work.

Workflow Ownership

Agentic AI systems increasingly managing multi-step workflows, not just individual tasks. Shifting AI from assistive tools to goal-driven operators.

Hybrid Human-Agent Teams

Cross-functional automation between autonomous agents, digital workers, APIs, humans, and data. The future is collaborative intelligence.

Agent Infrastructure Maturation

Platforms treating agents as first-class citizens with RBAC permissions, resource quotas, and governance policies. Enterprise-grade agent operations.

Contextual Memory

Moving beyond traditional RAG to enable LLMs to store and access pertinent information over extended periods. Critical for adaptive, long-running agents.

Where We See Opportunity

Specific segments and categories where we're actively seeking investments.

Agent Frameworks

Platforms and tools for building, orchestrating, and deploying AI agents at scale. The infrastructure layer enabling agentic applications.

Coding Agents

AI systems that can autonomously write, test, and deploy software. Transforming software development workflows.

Business Process Agents

Agents that automate complex enterprise workflows, from sales to operations. Measurable productivity gains in back-office operations.

Research Agents

AI systems that can conduct research, synthesize information, and generate insights. Augmenting knowledge work.

Agent Infrastructure

Tools for agent memory, planning, tool use, and multi-agent coordination. The building blocks for reliable agents.

Agent Monitoring

Observability and evaluation tools for understanding and improving agent behavior. Essential for production deployments.

Market Landscape

Notable companies and categories shaping this market.

Agent Frameworks

LangChain, CrewAI, AutoGPT, Microsoft AutoGen, AgentGPT

Coding Agents

Devin, GitHub Copilot Workspace, Cursor, Replit Agent, Codium

Enterprise Agents

Salesforce Agentforce, Microsoft Copilot Studio, ServiceNow

Agent Infrastructure

LangSmith, AgentOps, Weights & Biases, Braintrust, Parea

Process Automation

UiPath, Automation Anywhere, Blue Prism, Moveworks

Research Agents

Perplexity, Elicit, Consensus, Anthropic Claude, OpenAI

Portfolio Companies

Companies in our portfolio building in this space.

OrbioCloud
Series A

OrbioCloud

AI-powered asset and fleet management platform that makes operations simple, efficient, and affordable.

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Buffy
Seed

Buffy

AI-powered fitness companion and social platform transforming how people train and connect.

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Building in Agentic Systems?

We're actively investing in this space and would love to hear about what you're building.