If you still think of Prague solely as a destination for bachelor parties and cheap pilsner, you are looking at the wrong map. While the rest of Europe was busy debating AI regulation, Prague’s engineers were busy shipping code. Once characterised primarily as a cost-efficient outsourcing destination, the Czech capital has metamorphosed into a premier R&D powerhouse, particularly in the domain of Artificial Intelligence.
We’ve been tracking the capital flows in Central Europe, and something shifted in late 2025. We aren’t seeing the usual “copycat” apps anymore; we are seeing deep, structural innovation that lays the groundwork for the autonomous economy, which Silicon Valley VCs are quietly investing in. From self-driving hotels to forensic AI that hunts deepfakes, the ecosystem has graduated from “promising” to “essential and found its ground on agency.
Here are the 10 startups you need to watch in 2026.
1. Mews
The hospitality industry is notoriously averse to change, yet Mews has somehow convinced over 12,500 hotels to let it rewire their entire operations. They’ve moved way beyond being just a Property Management System as their 2025 pivot to “Agentic AI” effectively deploys digital staff members that can autonomously resolve guest complaints, move bookings, and manage housekeeping schedules without a human manager ever knowing.
You need to pay attention to them in 2026 because they are essentially the region’s “finishing school” for talent and ambition. Now valued at over $1.2 billion and fresh off their acquisition of DataChat, they are equipping General Managers with generative analytics that transform complex data into clear, plain-English answers. If an IPO happens in the region next year, Mews is the prime candidate, and their success is actively rewriting the playbook for how hotels operate globally.
2. Resistant.ai
We have officially entered the era of “AI vs. AI” crime, where fraudsters use generative models to create synthetic identities and deepfakes that bypass traditional KYC. Resistant AI is the necessary counterweight. Their “ensemble forensics” doesn’t just look for known fraud patterns. Still, they hunt for the invisible artefacts, such as pixel-level compression errors or metadata inconsistencies, that prove an algorithm, not a human, touched a document.
Investors are clearly worried about the state of financial security because they just handed Resistant AI a $25 million Series B in October 2025, led by Google Ventures (GV). This war chest is funding a massive expansion of their threat intelligence unit. As “Fraud-as-a-Service” becomes a cheap commodity on the dark web, banks in the US and Europe are rapidly realising that Resistant AI isn’t an optional add-on; it’s the only thing standing between them and millions in automated theft.
3. E2B
While everyone else is obsessed with building the most intelligent AI agent, E2B realised that those agents need a safe environment to work in. When an LLM writes code to scrape a website or analyse a spreadsheet, executing that code on your own server is a security nightmare. E2B provides secure, sandboxed cloud environments that spin up in milliseconds, allowing AI agents to run code, use tools, and browse the web without compromising security.
This is the kind of “pick-and-shovel” play that smart money loves. Insight Partners led a $21 million Series A investment in July 2025, as E2B is fast becoming the standard runtime for the agentic web. If you believe 2026 is the year for AI, E2B is the infrastructure play you can’t ignore. They are effectively building the operating system for autonomous software.
4. Flowpay
Most banks still assess small business risk by reviewing tax returns from two years ago, which is outdated in today’s economy. Flowpay bypasses the bank entirely by plugging directly into the platforms that SMEs use daily, such as their POS systems or e-commerce dashboards. Their AI analyses real-time transactional data, such as inventory turnover and revenue volatility, to predict future cash flow, enabling them to approve loans in minutes that traditional lenders wouldn’t touch.
The market has taken notice. In March 2025, they secured a massive €30 million debt facility from Fasanara Capital, providing them with the liquidity to start lending on a significant scale across Europe. Now live in the Netherlands and expanding fast, Flowpay is proving that Risk-as-a-Service is the only way to finance the next generation of small businesses profitably.
5. Rossum
Forget everything you know about old-school OCR (Optical Character Recognition). Rossum has spent the last few years training a specialised Transactional Large Language Model (T-LLM) that reads documents the way a human does by understanding context, not just templates. Their new AI agents can now handle complex Accounts Payable workflows autonomously, identifying discrepancies in invoices and negotiating exceptions without human intervention.
The reason they are on this list for 2026 is their Aurora engine, which recently hit a milestone of instant learning across 276 languages. This capability is helping them displace legacy vendors like ABBYY in Global 2000 companies. As enterprises scramble to integrate AI into their ERPs (like SAP and Oracle), Rossum is positioning itself as the default cognitive layer for global business transactions.
6. Oddin.gg
E-sports betting is a data nightmare: millions of micro-events happening in milliseconds across digital battlefields. Oddin.gg has tamed this chaos with a probability engine that ingests live data streams from games like Counter-Strike 2 and calculates odds in real-time. They offer a full risk-management ecosystem that protects sportsbooks from sharp bettors and match-fixing anomalies.
Their growth has been nothing short of explosive. They have just won the main category of the Deloitte Technology Fast 50 in Central Europe, achieving over 4,000% revenue growth. With betting markets opening up in the America, Oddin.gg is actively consolidating the sector by acquiring competitors and positioning itself as the Sport radar of E-sports. If you’re following the money in digital entertainment, it flows through their algorithms.
7. Filuta AI
Filuta AI is the deep tech wildcard of the bunch. Born from the computer science labs of Charles University, they are tackling the black box problem of modern AI. By fusing Machine Learning (which finds patterns) with Symbolic AI (which uses logic and rules), they’ve created “Composite AI” agents that can reason, plan, and explain their actions. Currently, they are utilising autonomous video technology that is 17 times faster than humans. The technology has massive implications for industrial automation.
They raised a $4.2 million Seed round in June 2025, led by Rockaway Ventures, to take this technology beyond gaming. In 2026, watch for Filuta to enter sectors like defense and logistics, where “hallucinating” an answer isn’t an option and verifiable reasoning is a requirement.
8. Better Stack
If you ask developers which monitoring tool they actually like using, Better Stack is increasingly the answer. They disrupted the market by making log management beautiful and SQL-compatible, but their next act is even bigger. They are rolling out “AI SREs” or Site Reliability Engineers, autonomous agents that monitor infrastructure, detect outages, and draft root-cause analyses before the on-call engineer even wakes up.
Financially, they are an anomaly, having raised a Series A extension in early 2024, yet they are already profitable and growing efficiently, while their competitors burn cash. In 2026, they are poised to steal significant market share from incumbents like Datadog by offering a good enough solution that is drastically cheaper and smarter.
9. Deepnote.com
Data science used to be a lonely, single-player experience until Deepnote transformed Jupyter Notebooks into a collaborative multiplayer workspace. In 2025, they doubled down on autonomy with “Auto AI,” an agent that acts as a junior analyst by writing Python code, fixing its own errors, and generating visualizations from simple natural language prompts.
Following their acquisition of Hyperquery, they are rapidly consolidating the modern data stack. As companies look to empower non-tech-savvy staff to query databases without bugging the data team, Dburdening’s blend of collaboration and AI assistance makes it the perfect interface. Expected to be a major acquisition target for data giants like Snowflake or Databricks in the coming year.
10. The MAMA AI
While consumer startups play with OpenAI wrappers, The MAMA AI is building industrial-grade voice intelligence for the enterprise. Founded by the core team that ran IBM Watson’s R&D lab in Prague, they have deep institutional knowledge in NLP and speech synthesis. Their platform, Telma, powers voice bots for banks and insurers that can handle natural interruptions (barge-in) and complex dialects with eerie accuracy.
Their breakout moment came in mid-2025 when they partnered with major insurer Kooperativa to launch a fully agentic claims processing system. This proved their tech is robust enough for highly regulated industries. In 2026, as data sovereignty becomes a bigger issue in the EU, there is growing concern about dominating the enterprise market, where on-premise reliability beats cloud-based hype.
Final Note
Prague is proving that you don’t need to be in Silicon Valley to build world-class AI. These ten companies share a common DNA, that of deep technical roots, a focus on B2B efficiency, and a rapid shift toward autonomous agents. If you’re an investor or tech watcher, keep a close eye on this list in 2026.