Lithuanian startup Kopa.ai has raised €2 million in Seed funding as it looks to accelerate the growth of its agentic AI platform for e-commerce teams.
The Vilnius based company announced that the funding round was co-led by XTX Ventures and Practica Capital, with additional participation from Inovia Capital and angel investor Etan Ilfeld.
The company plans to use the new funding over the next 12 to 18 months to strengthen its AI infrastructure, grow its engineering team and expand customer adoption across Europe.
Kopa.ai is positioning itself as more than another AI assistant for online stores. The startup says it is building a complete AI operating system designed specifically for e-commerce businesses, allowing teams to automate decision making, marketing operations and workflow execution through autonomous AI agents.
Kopa.ai secures €2M Seed funding
The €2 million Seed funding round marks a significant milestone for Kopa.ai as demand grows for AI systems capable of managing increasingly complex e-commerce operations.
The round was co-led by XTX Ventures and Practica Capital, both of which have backed a range of fast growing technology companies.
Existing and new investors joined the funding to support Kopa.ai’s next phase of development as the company looks to scale its platform internationally.
According to the company, the fresh capital will primarily be used to deepen the intelligence and reliability of its AI agents while improving context awareness across business operations.
Kopa.ai also plans to accelerate customer acquisition and continue refining its go to market strategy.
What Kopa.ai does and how the platform works
Kopa.ai develops an agentic AI platform built specifically for e-commerce teams.
The company describes its product as an operating system for online businesses rather than a standalone AI tool.
Most e-commerce companies today rely on multiple disconnected systems for analytics, advertising, customer engagement, inventory management and operational workflows.
Kopa.ai believes this fragmented structure creates inefficiencies that slow down growth and place operational pressure on teams.
Its platform is designed to solve this problem by using AI agents that can understand business context, make decisions and execute tasks across multiple operational areas.
An AI operating system for e-commerce businesses
Running a successful online retail business involves making thousands of operational decisions every week.
These include decisions around advertising performance, campaign budgets, customer retention, pricing, product listings, creative testing and inventory management.
For many businesses, these decisions are spread across multiple departments, software platforms and agencies. Kopa.ai wants to centralise this process through autonomous AI systems.
The platform continuously analyses business data and identifies which actions are most likely to improve performance. Instead of simply presenting dashboards or reports, the AI agents are designed to execute actions directly through connected systems.
This can include launching advertising campaigns, adjusting budgets, generating new creatives, publishing store updates or reallocating marketing spend.
Businesses can decide whether the system acts automatically or requires approval before execution.
Context aware AI agents designed for real business operations
One of the key differentiators behind Kopa.ai is its focus on context aware AI agents.
The company says many current AI tools are limited because they focus on narrow tasks without understanding the wider business environment.
Kopa.ai is attempting to build AI systems that understand operational context before making decisions.
Its agents are designed to analyse goals, historical performance, customer behaviour and business priorities before taking action.
Founder Donatas Benaitis said the goal is to create a system that feels like handing work to a highly skilled internal operator. According to Benaitis, the platform is designed to understand instructions quickly, make intelligent decisions and often produce better results than expected.
This approach aims to reduce the operational burden on e-commerce teams while allowing businesses to scale more efficiently.
Why e-commerce teams are struggling with operational complexity
The rapid growth of AI software has created new opportunities for online retailers, but it has also introduced additional layers of operational complexity.
Many e-commerce companies now use separate AI tools for copywriting, advertising, analytics, customer support and automation.
While these tools can improve productivity, they often operate independently from one another.
This creates a fragmented environment where teams still need to manually coordinate systems, interpret data and manage workflows. Kopa.ai believes this is one of the biggest barriers preventing online businesses from scaling quickly. The company says most businesses could grow significantly faster if operational complexity was reduced.
Its platform is designed to remove much of this friction by allowing AI agents to manage tasks across multiple operational functions simultaneously.
From dashboards to autonomous execution
Traditional e-commerce software generally focuses on reporting and analytics.
Most systems provide dashboards, recommendations and data visualisations that still require human interpretation and execution. Kopa.ai is taking a different approach.
Rather than stopping at analytics, the company wants its AI agents to take direct action based on business objectives and live performance data. The system continuously monitors products, campaigns, customers, inventory and website performance.
When opportunities or problems are identified, the platform can automatically recommend or execute changes. The company says this creates a continuous loop of understanding, decision making, execution and learning.
Every outcome feeds back into the platform, helping the AI improve future decisions over time.
This closed loop structure is intended to make Kopa.ai more effective as businesses grow and operations become more complex.
Proprietary AI infrastructure powering the platform
Underneath the platform, Kopa.ai is developing proprietary systems for structuring business knowledge, managing operational context and coordinating specialised AI agents safely at scale.
The company believes this infrastructure is essential for ensuring AI systems remain reliable in real world business environments. Many AI tools perform well in isolated scenarios but struggle when operational complexity increases.
Kopa.ai says its infrastructure is designed to maintain coherent decision making even as businesses expand across multiple channels and operational layers. This technology transforms raw business data into what the company calls Kopa intelligence, which powers its AI agents.
The agents then use this intelligence to make decisions and execute tasks with a deeper understanding of the business.
Kopa.ai growth, ARR and customer adoption
Kopa.ai launched its public version in December 2025 and has already achieved strong early growth.
By May 2026, the company reached €2 million in annual recurring revenue. The platform now serves more than 2,000 customers across Europe, ranging from smaller direct to consumer brands to larger performance focused e-commerce companies.
The company also generates revenue through its sister company Profit Koala. This early traction reflects growing demand for AI systems that can reduce operational complexity while improving business performance.
Kopa.ai has also established several strategic partnerships that support platform adoption and customer expansion.
Leadership and long term vision
Kopa.ai was founded by Donatas Benaitis, who believes AI agents will fundamentally reshape how e-commerce businesses operate. According to Benaitis, many online retailers are currently overwhelmed by operational work and fragmented software systems.
He believes AI agents will eventually allow much smaller teams to manage significantly larger businesses.
In the long term, Kopa.ai sees a future where individual founders or very lean teams can operate eight and nine figure e-commerce businesses with the support of autonomous AI systems. Practica Capital partner Donatas Keras said many e-commerce teams are buried under single purpose AI tools that lack broader business understanding.
He added that Kopa.ai’s advantage comes from combining deep operational experience with AI infrastructure that can understand, decide and act across multiple functions.
Future expansion plans after the funding round
Following the Seed funding round, Kopa.ai plans to continue investing heavily in engineering and AI infrastructure.
The company wants to improve how its AI agents manage context, structure business knowledge and coordinate complex workflows safely. It also plans to expand its engineering team and accelerate customer growth across Europe.
As AI adoption continues to grow within e-commerce, businesses are increasingly looking for systems that can do more than automate isolated tasks. Platforms capable of understanding broader operational context and executing decisions autonomously are expected to become increasingly valuable.
Kopa.ai is aiming to position itself at the centre of this shift by building AI systems that can manage large parts of e-commerce operations automatically.
With fresh funding, growing ARR and a rapidly expanding customer base, the company is now entering the next stage of its growth journey.
FAQs
What is Kopa.ai?
Kopa.ai is an agentic AI operating system designed for e-commerce businesses. It helps automate decision making, marketing operations and workflow execution.
How much funding has Kopa.ai raised?
Kopa.ai raised €2 million in Seed funding in a round co-led by XTX Ventures and Practica Capital.
Who invested in Kopa.ai?
Investors include XTX Ventures, Practica Capital, Inovia Capital and angel investor Etan Ilfeld.
How does Kopa.ai help e-commerce teams?
The platform helps businesses automate campaigns, manage workflows, optimise operations and make data driven decisions using AI agents.
What makes Kopa.ai different from other AI tools?
Unlike single purpose AI software, Kopa.ai is designed to understand business context and execute tasks across multiple operational functions.
Also Read: Profitize raises €1.4M Seed funding to scale AI financial planning for hospitality