Convey Raises $38M Series A to Scale an Enterprise AI Workforce

San Francisco-based Convey has raised $38M in Series A funding led by Andreessen Horowitz (a16z), with participation from Khosla Ventures and Pear VC. The company is building what it calls digital teammates, AI systems designed to own operational workflows rather than simply assist with individual tasks.

The funding arrives less than a year after Convey publicly launched its platform. Since October 2025, the company says its digital teammates have completed more than 1M hours of autonomous work across enterprise customers including NBCUniversal, TelevisaUnivision, Samsara, and Unity. Investors are increasingly separating AI products that generate output from AI systems that generate outcomes, and Convey sits squarely in the second category.

The bigger story is what this says about enterprise software. The market is moving from software that helps employees do work toward software that increasingly performs the work itself. For operators, investors, and enterprise buyers, that distinction is becoming more important with every funding round.

What Happened

Convey announced a $38M Series A led by Andreessen Horowitz (a16z), with existing investors Khosla Ventures and Pear VC also participating. The company was founded by Rohan Chopra, Co-Founder & CEO, whose experience at DoorDash helped shape the vision behind the platform. According to company announcements and investor disclosures, the funding will support the continued expansion of Convey's enterprise AI workforce platform.

Convey's core product centers on digital teammates. The distinction may sound subtle, but it reflects a broader shift happening across enterprise AI. Most AI products today operate like interns. They answer questions, generate content, summarize information, and wait for the next assignment. Convey is betting enterprises want something closer to a full-time employee.

Instead of responding to prompts, digital teammates are trained on workflows through screen sharing and natural language instruction. Once trained, they execute recurring operational tasks in the background while escalating exceptions when human judgment is required. The company positions these systems as owners of work rather than participants in work, a framework that has resonated with both investors and customers.

Why This Matters

Every enterprise has work nobody celebrates. Not because it lacks importance. Quite the opposite. Campaign trafficking, operational reporting, data reconciliation, workflow coordination, and administrative execution rarely make investor presentations, but they consume thousands of hours across organizations every year.

For decades, companies attacked these problems through hiring, outsourcing, process optimization, or traditional automation software. Each approach solved part of the problem while introducing new complexity. Artificial intelligence has changed the conversation. The question is no longer whether software can perform portions of operational work. The question is whether software can reliably own entire categories of operational responsibility.

That is the bet behind Convey. The company's reported milestone of more than 1M hours of autonomous work completed matters because it moves the discussion from theoretical capability into measurable execution. Enterprise buyers increasingly care less about model benchmarks and more about operational outcomes. The AI market is full of demonstrations. Enterprises pay for dependability.

Market Context

The enterprise AI market is entering a new phase. The first wave focused on productivity enhancement. Organizations adopted copilots, assistants, and chat interfaces that helped employees move faster. The second wave is beginning to focus on labor substitution and labor augmentation. That distinction makes executives uncomfortable, but markets tend to care more about economics than comfort.

Across software, investors are searching for platforms capable of creating measurable operational leverage. The strongest companies are no longer selling access to intelligence. They are selling capacity. This is where the emerging category of AI workforce platforms becomes important. Rather than acting as assistants, these systems are designed to execute recurring work, manage workflows, and expand organizational capacity without proportional increases in headcount.

San Francisco-based Convey enters this environment at a moment when enterprises face mounting pressure to improve efficiency while simultaneously managing rising complexity. Teams are expected to produce more output without proportional increases in staffing. That creates demand for systems capable of handling repeatable operational work. The timing of Convey's Series A suggests investors believe this demand is becoming structural rather than experimental.

Competitive Landscape

Convey operates within the broader enterprise AI ecosystem often associated with AI agents, workflow automation, autonomous operations, and enterprise software. However, the company intentionally differentiates itself from the increasingly crowded AI agent category, and that distinction is strategic.

Many AI agent platforms focus on completing individual tasks. Convey's digital teammate framework focuses on owning ongoing responsibilities. The language may appear semantic, but enterprise software history repeatedly shows that positioning often reveals product philosophy. Companies that define categories clearly often create stronger adoption narratives than companies that chase every emerging trend.

Customers including NBCUniversal, TelevisaUnivision, Samsara, and Unity suggest Convey has gained traction in environments where operational complexity creates meaningful opportunities for automation. Winning enterprise customers is difficult. Winning enterprise customers and getting them to trust software with operational responsibility is even harder, creating a natural barrier to entry for competitors.

What This Signals

The most interesting part of the announcement may not be the funding amount. It may be what investors chose to fund. Andreessen Horowitz, Khosla Ventures, and Pear VC are not betting on another chatbot. They are backing infrastructure designed to sit closer to the operational core of an enterprise.

The participation of a16z is particularly notable because the firm has consistently backed category-defining infrastructure companies across major technology transitions. That distinction matters because value creation in software historically migrates toward systems that become embedded inside critical business processes. Communication tools can be replaced. Systems responsible for operational execution become much harder to remove.

Convey's approach suggests a future where companies increasingly evaluate AI not by how intelligently it responds, but by how consistently it performs. The market appears ready to reward that transition, and investors appear increasingly willing to fund platforms that can demonstrate measurable operational outcomes rather than theoretical capability.

The Bigger Industry Shift

Enterprise software is quietly changing its job description. For years, software existed primarily to help humans complete work. Today, software is beginning to complete work itself. That shift creates profound implications for organizational design, workforce planning, operational efficiency, and software procurement.

It also creates a new competitive battlefield among startups racing to become the operating layer between human decision-making and business execution. The companies that succeed may not be the ones with the smartest demos. They may be the ones capable of delivering reliable outcomes day after day inside real enterprise environments.

Convey's $38M Series A is one funding round among many in enterprise AI, yet it captures a larger market transition underway. The conversation is moving beyond intelligence and toward accountability. Enterprises have always wanted software that could think. What they may value even more is software that can reliably deliver.