Tess AI Secures $5M Seed Round to Expand AI Agent Platform

Key Takeaways

1. Tess AI, a California-based enterprise AI agent orchestration platform founded by Brazilian entrepreneurs, led by CEO Rica Barros.
2. Closed a $5 million seed funding round led by Hi Ventures and co-led by DYDX Capital, with participation from Honeystone Ventures.​
3. To scale its multi-model orchestration engine that integrates 250+ AI models and replaces traditional per-seat SaaS licensing with a pay-for-impact model.
4. Over 16,000 employees onboarded in 12 months; 600,000+ autonomous agent tasks executed in the last month alone; up to 40 simultaneous operations per single agent call.

Quick Recap

Tess AI has officially announced the close of a $5 million seed funding round, marking a pivotal moment for the enterprise AI agent space. The round was led by Hi Ventures and co-led by DYDX Capital, a Silicon Valley fund focused on data-driven investment theses, with additional participation from Honeystone Ventures. The announcement was made public via the company’s official social channels, confirming the funding and outlining its growth trajectory.

We’ve raised $5M in Seed funding from Hi Ventures, DYDX Capital, and Honeystone Ventures.

We are proud to share that TESS AI is now used by over 16,000 employees, executing 600,000+ autonomous tasks monthly. Our "seatless" agentic engine is bringing Vibe Working performance to… pic.twitter.com/HKdJyz6AOY

— TESS (@tess_us) March 2, 2026

Who’s Backing Tess AI and Why?

The investor roster behind this seed round is stacked with operational credibility. Hi Ventures is co-led by Federico Antoni, an early-stage investor in Cornershop, the grocery delivery platform later acquired by Uber. DYDX Capital brings enterprise AI validation through Ryan Nichols, the former Chief Product Officer of Salesforce Service Cloud, where he scaled the division to $9 billion in revenue and architected its first AI agent adoption strategy.

Honeystone Ventures, meanwhile, was co-founded by Sarah Soule, the Dean of Stanford Graduate School of Business, alongside professors Jonathan Levav and Yossi Feinberg, adding significant academic and institutional backing. The funds will be deployed to expand Tess AI’s enterprise agent orchestration platform and its seatless, pay-for-impact operating model.

Tess AI’s core platform operates through a multi-model orchestration engine that integrates over 250 specialized AI models, including Claude, GPT, Gemini, and Qwen, into a compound intelligence framework. Agents created on the platform can perform tasks such as bank reconciliation, inventory verification, prospecting, data analysis, and internal reporting without continuous human input. The company reports that its valuation following this round stands at approximately R$200 million (roughly $35 million USD).

The Agentic AI Land Grab

The timing of this raise aligns with a broader market shift away from traditional chatbot-style AI deployments and toward autonomous agent orchestration. Enterprise buyers are increasingly frustrated with AI tools that require constant supervision and manual intervention. Tess AI’s pitch is that employees themselves create and deploy agents, sparking a “bottom-up” AI revolution inside organizations rather than the top-down, cost-cutting AI rollouts that often generate fear and resistance.

As Federico Antoni of Hi Ventures noted, “Tess AI is winning because it’s the employees themselves who create and implement the agents. This allows for real AI transformation in the company, precisely because the fear of losing one’s job is taken out of the equation”. Rica Barros, Tess AI’s CEO, has framed the platform as a tool that lets leaders “invite their entire teams without budget friction to build agents that solve real problems,” claiming over 3x ROI in the first year of deployment.

The enterprise agentic AI market is heating up, with major players like Microsoft, IBM, UiPath, and Automation Anywhere all building orchestration capabilities. At the startup level, companies like CrewAI and Relevance AI are direct competitors in the multi-agent platform space. Tess AI’s differentiator lies in its breadth of model integration (250+ models versus single-ecosystem approaches) and its unique pricing structure that charges for completed work rather than user seats.

Competitive Landscape

Tess AI leads in raw model breadth and multimodal coverage, orchestrating 250+ models across text, image, video, and audio in a single workflow. CrewAI holds an edge in developer ecosystem scale, with its open-source framework already used by nearly half the Fortune 500. Relevance AI, with $37M in total funding, is furthest along in go-to-market maturity for non-technical users building AI agent workforces.

Bayelsa Watch’s Takeaway

I think this is a big deal, and here’s why. Tess AI’s $5M seed round may look modest next to the massive raises in agentic AI, but the investor profile tells a different story. You don’t get the former CPO of Salesforce Service Cloud and the Dean of Stanford GSB writing checks into a seed-stage company unless the product is genuinely solving a real enterprise pain point. In my experience covering funding rounds, the quality of the cap table at seed stage is often a stronger signal than the dollar amount itself.