Anirudh Narayan

Lyzr has raised $8 million in Series A funding, led by Rocketship.vc, with participation from GFT Ventures, Accenture Ventures, Firstsource, Plug and Play, BGV, Partnership Fund for New York City, and Arka.

And in one of the strongest signals of enterprise trust, Henry Ford III, a member of the Ford Motor Company Board of Directors, has joined Lyzr’s board to guide the next phase , industrial-scale deployment.

This round isn’t just fuel. It’s validation that the Agentic Operating System isn’t a concept anymore. It’s becoming an enterprise reality.

The Vision: From Siloed Agents to the Agentic OS

Across enterprises today, dozens of copilots and chatbots work in silos, each tied to a single platform, vendor, or department. HR has one. Sales has another. Customer Support runs a third.

The result? Fragmented intelligence.

Lyzr flips this model. With Agentic OS, enterprises can build their own private AI workforce that connects and collaborates across departments,  HR, Sales, Finance, and I,  while staying fully within their control.

Think of it as a new operational layer above systems like Workday, Salesforce, and NetSuite ,where AI agents can reason, act, and collaborate with both data and humans.

This architecture is designed for something bigger: Organizational General Intelligence (OGI) , when all these specialized agents share context through a central knowledge graph, allowing the organization itself to develop collective intelligence.

The final step, OGI (Organizational General Intelligence), isn’t about artificial general intelligence. It’s about emergent intelligence within an enterprise , when specialized agents across departments share context and decisions through a central knowledge graph.

The real pain point for Enterprises 

Enterprises want to move fast with AI but are forced to choose between flexibility and compliance. Each path comes with its own limitations, making it harder to scale AI responsibly across the organization.

Enterprises could take one of the following  approaches

What open-source frameworks offer:

• Complete flexibility to design and customize every part of the agent lifecycle
• Access to community-driven innovation and rapid experimentation
• Freedom from vendor lock-in and full transparency in implementation

What ADLC-focused platforms offer:

• Simplified setup and faster deployment cycles
• Built-in governance, compliance, and monitoring
• Managed infrastructure that reduces maintenance overhead

But what if enterprises could get both? The flexibility and openness of one, combined with the reliability and governance of the other.

That’s exactly what Lyzr’s Agentic OS Platform enables, a self-hosted, governed, and flexible foundation that runs securely within the enterprise’s own environment.

Build Your Agentic OS, Function by Function

Lyzr’s platform enables enterprises to design, govern, and run their Agentic OS, one function at a time.

It provides a full Agent Development Life Cycle (ADLC),  from creation and testing to monitoring and simulation.
Enterprises can now deploy agents for:

• HR and recruitment automation
• Sales enablement and lead qualification
• Loan origination and servicing
• Claims processing
• Procurement and IT operations

Each agent can act independently or as part of a larger coordinated system, creating not isolated bots, but a connected AI workforce.

From Simulation to Production

Enterprise AI can’t rely on “it works in the demo.” It needs proof.

That’s why Lyzr built the industry’s first JEPA-inspired Agent Simulation Engine. Inspired by Yann LeCun’s Joint Embedding Predictive Architecture, it allows enterprises to run 20,000+ simulations per agent , a virtual proving ground that ensures reliable, compliant behavior before deployment.

This has already paid off for global enterprises:

• A Fortune 100 technology company built an Agentic OS for its Corporate Venture Capital arm; 200+ interconnected agents now cut 80% of the time spent sourcing and evaluating startups.
• One of the world’s largest chip manufacturers migrated its customer service agents from Agentforce to Lyzr, reducing build time by 70% while owning every piece of its AI IP.

The Numbers Behind the Momentum

• 1 Billion+ agent simulations run to date
• 1 Million+ agents live in production
• 30,000+ developers building on Lyzr

And with 70% of customers coming from financial services, security isn’t an afterthought , it’s the architecture. Lyzr runs entirely within a customer’s private cloud (VPC) or on-premise, backed by SOC 2 and ISO 27001 certifications

What’s Next??

The next 24 months are about scaling the Agentic OS across every enterprise function , and connecting them into Organizational General Intelligence.

As Siva Surendira, Founder & CEO of Lyzr, puts it:

The era of siloed AI copilots is over. The future belongs to an interconnected AI workforce that forms an organization’s central intelligence.

What our investor are saying: 

Just as operating systems defined the computer era, Agentic Operating Systems will define the enterprise AI era. Lyzr’s vision for Organizational General Intelligence is not theoretical, it’s being built function by function inside some of the world’s largest enterprises

Said Madhu Shalini Iyer, Managing Partner at Rocketship.vc.

From a scrappy idea in 2023 to a Series A milestone in 2025, the story hasn’t ended. It’s just entered its Agentic era.

This post first appeared on Lyzr.ai here.