Duvo Raises $32M Series A to Scale Enterprise AI Automation

Duvo, an enterprise AI automation startup founded by Rohlik founder Tomáš Čupr, has raised $32 million in Series A funding led by Balderton Capital. The round comes just 10 months after the company's $15 million seed financing and brings its total funding to $48 million.

Existing investors Index Ventures, Northzone and Credo Ventures also participated in the latest round. Duvo plans to use the capital to enter the United States, initially targeting retailers and consumer goods companies with AI-powered automation for complex operational workflows.

Founded by Čupr alongside former Rohlik colleagues Marek Paris and Martin Pecha, Duvo aims to solve a persistent enterprise technology problem: moving AI projects beyond pilot programmes and into reliable, everyday business operations.

Rather than measuring AI's success primarily by the number of jobs it can replace, Čupr argues that businesses should focus on helping employees deliver more value by automating repetitive tasks and expanding the amount of work they can accomplish.

The company's approach combines AI-powered workflow discovery, automation agents, approval rules and exception management in a single platform. Duvo says it has unlocked more than $100 million in value for customers, although it has not disclosed its revenue, annual recurring revenue or valuation.

Duvo's $32M Funding Round and Expansion Plans

Balderton Capital led Duvo's $32 million Series A, with participation from existing investors Index Ventures, Northzone and Credo Ventures.

The financing follows the company's $15 million seed round in December 2025, bringing total funding to $48 million.

Duvo intends to use the new capital to establish its presence in the US market, beginning with retailers and consumer goods producers. These industries often depend on interconnected systems, supplier relationships, invoices, logistics and extensive administrative processes.

The company plans to begin with workflows such as freight management and invoice auditing, which can involve large volumes of data and repeated checks across multiple systems.

According to Čupr, these processes are relevant beyond retail, giving Duvo an opportunity to expand into other industries as its platform develops.

The latest round also reflects investor interest in AI companies that can move beyond demonstrations and deliver automation within real business environments. Enterprises often face difficulties when connecting AI systems to existing software, enforcing approval policies and handling situations that require human intervention.

Duvo's proposition is to combine those requirements into a unified operational system instead of treating each automation project as an isolated deployment.

From Rohlik to Enterprise AI Automation

Tomáš Čupr has an established track record in building businesses.

He founded Czech online grocery company Rohlik in 2014. The company reached unicorn status in 2021 after raising €100 million in a Series C round at a reported valuation of €1 billion. Rohlik subsequently raised another $170 million in 2024.

Before Rohlik, Čupr founded Slevomat and Dáme jídlo. Delivery Hero acquired Dáme jídlo in 2014.

Čupr founded Duvo with Marek Paris and Martin Pecha, who had previously worked with him at Rohlik. Duvo was established in October 2023, following consultations with more than 50 security leaders? No. The supplied article instead describes the company's founding as an effort to understand how businesses could use AI to improve operational work.

After launching Duvo in December 2025, Čupr continued to hold his position at Rohlik and used the company as a practical environment for testing the product.

His experience with grocery operations influenced the company's focus on everyday business processes. Employees with specialized expertise can spend substantial time on manual data entry, repetitive checks and coordinating information across different systems.

Čupr believes AI should help employees accomplish work that would otherwise remain incomplete because teams lack the time or capacity to handle it.

He described the shift as moving away from measuring AI in the number of employees it could replace and towards increasing the value each employee can generate.

Why Enterprise AI Projects Struggle to Scale

Many businesses are experimenting with AI agents, but deploying a demonstration is different from integrating automation into everyday operations.

Enterprise workflows frequently span enterprise resource planning systems, supplier portals, spreadsheets, email inboxes and other applications. These systems may have different access rules, data formats and approval requirements.

An AI agent that works in a controlled pilot may struggle when faced with incomplete information, unusual exceptions or processes that require decisions from multiple teams.

Duvo is targeting these obstacles by treating automation as part of a connected operating system rather than a collection of independent AI experiments.

The supplied article cites a Gartner forecast that more than 40% of agentic AI projects could be cancelled by the end of 2027, partly because of rising costs. This forecast highlights the implementation challenges facing companies investing in autonomous AI systems.

For businesses, the central issue is not simply whether an AI model can perform a task. The technology must also work reliably within existing operations, respect approval requirements and escalate problems when it cannot safely proceed.

Duvo's platform is designed to address these operational requirements by mapping workflows, automating approved steps and directing exceptions to the appropriate people.

How Duvo's Enterprise Execution OS Works

Duvo describes its product as an Enterprise Execution OS, designed to help businesses discover, automate and manage operational processes through a shared system.

The platform starts with Duvo Clarity, which identifies how work is performed through AI-powered interviews, screen recordings and document analysis.

This process helps the company map existing workflows before automation begins. Understanding how employees actually perform a task is important because documented procedures may not capture every dependency, exception or manual workaround.

Once a workflow has been identified, Duvo's agents can carry out approved steps across enterprise resource planning systems, supplier portals, spreadsheets and email inboxes.

The system uses APIs where possible and can interact with user interfaces when suitable APIs are unavailable. Decisions and exceptions are routed to the relevant owners rather than being handled entirely without oversight.

According to the company, initial workflows can be deployed within weeks without requiring extensive engineering resources.

The approach combines several elements:

• Workflow discovery: identifying how existing processes operate.

• AI-powered automation: carrying out approved steps across connected business applications.

• Approval rules: ensuring processes follow defined requirements.

• Exception management: directing unusual cases and decisions to the appropriate employees.

• Result tracking: monitoring the outcomes of automated processes.

This structure is intended to help organizations scale AI beyond isolated use cases while retaining visibility into how operational work is completed.

Notino's Supplier Reconciliation Results

Duvo points to its work with Notino, an online beauty retailer, as an example of the potential impact of its automation platform.

According to the company, Notino reduced the time required for quarterly reconciliation of approximately $45 million in annual supplier bonuses from 70 days to 15 days.

The number of specialist working hours required for each cycle reportedly fell from approximately 120 hours to fewer than 10 hours.

These figures suggest substantial reductions in the time and manual effort involved in the process. However, they are company-reported results rather than independently verified measurements.

The example illustrates the type of administrative work Duvo is targeting: processes involving financial data, supplier agreements and repeated checks across business systems.

The company also identifies Morrisons, Holland & Barrett, Boden and Allegro among its customers.

Duvo says it has unlocked more than $100 million in value for clients across areas including finance, supply chain, commercial operations, customer care, marketing and human resources. The article does not specify how this value was calculated or provide a detailed breakdown by customer.

Duvo's Position in the Enterprise Automation Market

Duvo operates in a competitive market that includes established automation and enterprise software providers.

UiPath, a publicly listed company, developed its business around robotic process automation before expanding into AI-driven and agentic automation. Celonis, headquartered in Munich, focuses on process mining and helping enterprises understand how their operations function.

Duvo differentiates itself through its combination of workflow discovery, AI-powered execution and ownership of exceptions within one integrated system.

Its founders' operational experience is central to the company's positioning. Rather than beginning solely with AI capabilities, Duvo focuses on understanding how employees complete work and identifying where automation can improve the process.

However, the broader market is moving towards similar goals. Established providers can build new AI features into existing platforms, while specialized startups compete to deliver faster implementations and deeper workflow expertise.

Duvo will need to show that its platform can work reliably across different enterprise environments, deliver measurable customer value and scale without requiring extensive customization for every deployment.

Its US expansion will also test whether the company's initial success with European retailers and consumer goods businesses can translate into a larger international customer base.

Why Balderton Capital Invested

Balderton's investment case centres on the difficulty of making AI agents function reliably across enterprise systems and the importance of understanding how business processes actually operate.

Rob Moffat, a partner at Balderton Capital, highlighted Duvo's ability to use AI to capture how work happens inside enterprises, identify operational losses and automate processes within the same integrated system.

Moffat also pointed to Čupr's experience building companies, including Rohlik, as a factor supporting the investment.

The funding comes as investors look for enterprise AI businesses capable of delivering practical operational improvements rather than simply offering AI demonstrations.

Duvo's approach is built around a clear commercial proposition: identify repetitive or inefficient work, automate approved steps and give employees more time to focus on decisions and activities that require their expertise.

Whether that proposition becomes a durable competitive advantage will depend on implementation quality, customer adoption and the company's ability to demonstrate consistent results across different industries.

What Comes Next for Duvo?

With $32 million in Series A funding, Duvo is preparing to expand into the US, starting with retailers and consumer goods producers.

Its immediate focus includes processes such as freight and invoice auditing, while the platform is designed to support other enterprise functions as well.

The company has grown from 15 employees at the seed stage to nearly 60, according to the supplied article. The funding provides additional resources to support its expansion, although the company has not disclosed a detailed hiring plan or financial projections.

Important questions remain. Duvo has not publicly disclosed its valuation, revenue or annual recurring revenue. Its reported customer value is also not equivalent to revenue earned by the company.

As enterprise AI adoption expands, Duvo will face the challenge of proving that its platform can deliver dependable automation at scale while competing with established automation providers and newer AI startups.

The company's central thesis is that successful enterprise AI should be measured not only by the number of tasks automated, but also by how much more effective employees and businesses become.

If Duvo can demonstrate that its technology consistently turns AI pilots into operational improvements, its US expansion could provide an important next step in that strategy.

Key Details of Duvo's Series A

• Company: Duvo

• Funding raised: $32 million Series A

• Lead investor: Balderton Capital

• Other participating investors: Index Ventures, Northzone and Credo Ventures

• Total funding: $48 million

• Founders: Tomáš Čupr, Marek Paris and Martin Pecha

• Product: Enterprise AI workflow discovery and automation platform

• Initial US focus: Retail and consumer goods

• Reported customer example: Notino

• Reported operational result: Supplier bonus reconciliation reduced from 70 days to 15 days

• Team size: Nearly 60 employees

• Use of funds: US market expansion

Duvo's Series A highlights a shift in enterprise AI investment towards systems designed to deliver measurable operational results. With backing from Balderton Capital and existing investors, the company is preparing to take its workflow automation platform into the US market.

Its next challenge is to demonstrate that AI agents can move beyond pilot projects and reliably improve the way businesses operate.