Nous Research lands $90M at $1.5B valuation, rolls out enterprise AI agents

Nous Research has raised $90 million in new funding at a $1.5 billion valuation and is using the money to move beyond its popular open-source Hermes agent and into enterprise software. The three-year-old startup says its next major push is “Hermes for Businesses,” a product designed to let companies deploy customized AI agents for multi-step work while keeping sensitive data private.

The Series B confirms earlier reporting from TechCrunch and lifts Nous Research’s total financing to $158 million. The round was led by Robot Ventures and included a broad list of investors such as Nvidia, Union Square Ventures, Menlo Ventures, Samsung and 1789 Capital. The company’s rapid rise reflects a larger shift in the AI market: open-source systems are no longer just tools for hobbyists and developers, but are increasingly being packaged for paid business use.

Why the new funding matters

Nous Research’s latest round is important because it gives the company the capital to turn a widely used open-source agent into a commercial product aimed at businesses with security and customization needs. That strategy puts the startup in a crowded but fast-growing category where firms are racing to combine the flexibility of open models with the reliability and governance companies expect.

For startups like Nous, the enterprise market offers a path to recurring revenue and larger contract sizes. For buyers, it offers a potentially lower-cost and more adaptable alternative to fully closed AI platforms, especially when internal data policies make off-the-shelf deployment difficult.

What Nous Research built before the enterprise push

Nous Research is best known for Hermes, an open-source AI agent that has become popular with developers and individual users. According to the company, Hermes has been cloned more than 24 million times, making it one of the more widely reused agent projects in circulation.

The startup also says that Hermes accounts for about 2.5% of global AI token usage based on its internal estimates. While those numbers are company-reported, they suggest a product with enough traction to give Nous a strong brand as it moves into paid business offerings.

How open source helped Nous gain traction

Open-source distribution appears to have been a major growth engine for Nous. By making Hermes broadly available, the company encouraged developers to experiment, modify and re-share the agent, helping the startup build recognition without relying solely on traditional enterprise sales.

That dynamic is common in modern AI: open access can drive adoption quickly, but the hardest part is often converting that attention into sustainable revenue. Nous is now trying to do exactly that.

How will Hermes for Businesses work?

Hermes for Businesses is designed to help companies deploy custom AI agents that can carry out multi-step workflows. The startup says the enterprise version will be built with privacy and security in mind, which is likely to be a major selling point for organizations that want automation without exposing internal information to external systems.

In practical terms, that means companies could use the system for tasks such as drafting internal reports, coordinating routine operations, responding to structured requests, or helping employees move through repeatable workflows. The pitch is less about a general-purpose chatbot and more about a configurable digital worker that can be shaped around a company’s own processes.

What makes the enterprise version different

The distinction matters because business users usually need more than raw model access. They need permissions, data controls, predictable behavior and integration with existing systems. Nous is positioning Hermes for Businesses around those expectations rather than around consumer-style conversation alone.

• Customizable agents tailored to company workflows
• Privacy protections for sensitive business data
• Support for multi-step task execution
• An enterprise-friendly deployment model

Who backed the round?

The Series B was led by Robot Ventures, with Nvidia, Union Square Ventures, Menlo Ventures, Samsung and 1789 Capital among the participants. The mix is notable because it combines traditional venture firms with major technology and hardware investors, signaling broad interest in the infrastructure and application layers of AI.

Nous’s investor list underscores how attractive open-source AI has become to both financial backers and strategic players looking for exposure to the next wave of agent software.

The involvement of Nvidia is especially relevant because the chipmaker has been one of the most powerful beneficiaries of the AI boom. Its participation may also reflect the growing importance of inference and agentic workloads, both of which require significant compute resources as products scale.

Revenue growth points to commercial momentum

Nous is not just raising on promise. The Wall Street Journal reported that the startup was generating about $36 million in annualized revenue by mid-September 2026 and expected to pass $100 million before the end of the year. If those figures hold, they would indicate unusually fast monetization for a young AI company.

That level of revenue helps explain the $1.5 billion valuation. Investors are not only betting on the popularity of Hermes, but also on the company’s ability to convert usage into enterprise contracts and broader platform revenue.

Why the enterprise opportunity is so large

Business buyers are increasingly interested in agentic AI because it promises to reduce manual work across internal operations. Unlike simple chat interfaces, agents can potentially plan tasks, use tools and coordinate steps across systems. That makes them attractive for companies trying to automate repetitive knowledge work without rebuilding their technology stack from scratch.

At the same time, enterprises are cautious. Many are still concerned about hallucinations, data leakage, security vulnerabilities and governance. A vendor that can address those concerns while offering customization has a better chance of winning contracts.

Why privacy is a selling point

Privacy is not just a technical feature; it is a sales requirement. Companies handling customer records, financial data or internal strategy documents often cannot send information to consumer-grade AI tools without strict controls. Nous is clearly betting that its security-first pitch will resonate with these buyers.

That emphasis could also help differentiate it from more general-purpose AI products that are widely used but less configurable. In the enterprise market, trust can matter as much as model quality.

Where Nous fits in the AI market

Nous Research sits in a growing segment of the AI industry that blends open-source distribution, developer enthusiasm and commercial packaging. The model is increasingly common: build community adoption first, then sell enterprise features, managed deployment or premium support later.

It is also part of the broader wave of AI agent startups trying to define how software work will be organized in the next few years. Some companies are focusing on consumer assistants. Others are aiming at internal business automation. Nous appears to be straddling both worlds, beginning with an open project and then adapting it for corporate use.

This strategy has advantages. Open-source tools can spread faster than proprietary products and create a large base of users who are already familiar with the brand. But it also carries risk: if the enterprise offering does not clearly outperform existing systems, the company may struggle to justify a premium.

Timeline of Nous Research’s growth

The company has moved quickly from startup stage to one of the more closely watched open-source AI players. The timeline below captures the key milestones disclosed in the latest reporting.

What investors may be betting on next

Backers appear to be wagering that agent software will become a core layer of enterprise computing, much like cloud infrastructure and SaaS before it. If business AI agents become standard tools for internal operations, companies with early brand recognition and proven usage could capture meaningful market share.

For Nous, the challenge is to translate developer popularity into durable enterprise revenue while preserving the openness that made Hermes attractive in the first place. That balance is not easy, but it could prove powerful if executed well.

What could slow the company down?

Competition is the biggest obvious risk. Large platform companies, better-funded AI labs and a wave of specialist startups are all targeting the same customers. In addition, enterprise buyers typically move more slowly than consumer users and demand proof that a system can be trusted at scale.

That means Nous will need to show more than enthusiasm and usage counts. It will need product reliability, sales execution and real-world business results.

Why this deal reflects the next phase of AI

This funding round illustrates a broader turning point in the AI industry. The market is shifting from headline-grabbing model launches toward products that can be embedded into daily business operations. Open-source agents are part of that shift because they offer flexibility, transparency and community-driven momentum.

For companies buying AI, the value proposition is becoming clearer: automation that can be adapted to specific workflows, paired with controls that protect confidential information. For startups, the opportunity is equally clear: if they can deliver that combination, enterprise customers may be willing to pay significantly more than casual users ever will.

Nous Research is now trying to prove that an open-source hit can become an enterprise platform without losing the speed and cultural advantage that made it successful in the first place. The next phase of the company’s growth will test whether that is a scalable formula—or just a promising idea.