Today, 08.05.2026
Good morning, Human. Two seed rounds announced yesterday tell the same story from different angles: the enterprise software stack is being rebuilt around AI agents that don't wait to be asked. London's CodeWords raised $9M to let non-technical users describe what they need and have an AI agent build and run the automation. Stockholm's Pit emerged from stealth with $16M from Andreessen Horowitz to replace entire operational layers with custom-built AI software. The combined $25M signals something more than another funding cycle. It signals that the "agentic enterprise" has moved from conference slide to cap table.
In Brief
What: Two European startups raised a combined $25M to build AI agents that automate enterprise workflows without requiring technical expertise. Why it matters: These rounds, backed by investors from OpenAI, Anthropic, and a16z, suggest the market believes AI can now replace entire operational software layers, not just augment them. What it means for Europe: Both companies are building from European bases (London and Stockholm) but targeting global enterprise markets, continuing the pattern of European AI startups using local talent to compete internationally.
This shift from AI-assisted to AI-native operations is already on the agenda at Human x AI Europe on May 19 in Vienna, where Europe's AI ecosystem will gather to work through what these changes mean for policy, investment, and implementation.
The Lead: Two Seed Rounds, One Thesis
The timing is almost too neat. On the same day, two European startups announced seed rounds built on the same premise: that enterprise software has failed to deliver on its promise, and AI agents can now do what decades of SaaS tools could not.
CodeWords, the London-based startup formerly known as Agemo, raised $9M led by Visionaries with participation from firstminute capital, Sequel, and Illusian. The angel list reads like a who's who of European tech: Andrey Khusid (CEO of Miro), Mati Staniszewski (CEO of ElevenLabs), Hanno Renner (CEO of Personio), Robert Gentz (CEO of Zalando), and Ilkka Paananen (CEO of Supercell). Leaders from OpenAI, Mistral, n8n, and Zapier also participated.
The product, called Cody, is an AI agent that learns how a business operates and proactively builds automations. The key word is "proactively." Unlike Zapier or Make, which require users to design workflow logic, CodeWords removes that layer entirely. Users describe what they need; Cody handles deployment, setup, and ongoing maintenance. The company claims 500,000 workflows running monthly.
Pit, meanwhile, emerged from stealth with $16M led by Andreessen Horowitz, alongside Lakestar and angels from OpenAI, Anthropic, Google, Deel, and Revolut. Founded by veterans of Voi, Klarna, and iZettle, Pit positions itself as an "AI product team as a service." The company doesn't sell software; it builds it. Enterprises describe their workflows, and Pit delivers production-grade custom software in days rather than months.
The founding team's credibility comes from what Klarna documented publicly across 2024 and 2025: 90% of employees using generative AI daily, with adoption rates above 85% across legal, marketing, communications, and operations. The custom AI systems built into those workflows consistently outperformed the off-the-shelf SaaS tools they replaced. Pit is essentially productizing that playbook.
Early results from Pit's enterprise pilots are concrete: 85% reduction in campaign execution time, over 10,000 hours saved annually per deployment, and 99% invoice acceptance rates through automation. Named customers include Voi, Tre, Stena Recycling, and Kry.
The question these rounds raise is whether the SaaS model itself is structurally vulnerable. Bain & Company published a report earlier this year concluding that per-seat pricing was structurally vulnerable to AI agent adoption. Monday.com replaced its 100-person sales development team with AI agents. The median revenue multiple for software firms fell from above 7 to below 5. If AI can build custom software faster and cheaper than buying generic tools, the entire enterprise software market faces repricing.
The Infrastructure Play: Quantum Motion's $160M Bet on Silicon
While the agentic enterprise captures headlines, the infrastructure layer continues to attract serious capital. Quantum Motion, the UK-based quantum computing company, closed a $160M Series C co-led by DCVC and Kembara, with participation from the British Business Bank and Firgun. The round makes Quantum Motion the UK's best-funded quantum computing company.
The thesis is straightforward: quantum computing will only achieve its potential if it can be built on a platform that scales. Quantum Motion believes silicon is that platform. The company's architecture uses standard 300mm CMOS technology, the same transistor technology found in smartphones and laptops, to build quantum processors. The claimed advantages are significant: 100-fold reduction in cost and space requirements, 1,000-fold reduction in energy consumption compared to alternatives.
In September 2025, Quantum Motion delivered a full-stack quantum computer to the UK National Quantum Computing Centre, the first such system manufactured using standard semiconductor fabrication processes. The company has also advanced to Stage B of DARPA's Quantum Benchmarking Initiative, one of only 11 companies selected.
The round follows a pattern in European quantum: Pasqal's $200M equity round, IQM's $320M Series B, and Quantware's $178M Series B earlier this week. European quantum startups raised €1.6B in 2025, more than doubling the €700M raised in 2024. The infrastructure race is accelerating.
The Restructuring: DeepL Cuts 250 Jobs
Not all AI news is about growth. DeepL, the German translation software company and Google Translate rival, announced plans to cut approximately 250 employees, about 25% of its workforce. CEO Jarek Kutylowski called the move a "deliberate structural choice" rather than an emergency measure.
The timing is intentionally early, Kutylowski wrote. "We are not waiting until the shift is fully obvious to everyone in the market. The right time to make a move like this is before you have to." The company is reorganizing around AI, embedding it into every layer of the organization.
DeepL raised $300M at a $2B valuation in 2024 and was reportedly considering an IPO with a target valuation of $5B. The cuts suggest that even well-funded AI companies are rethinking their operating models as AI tools replace work traditionally done by programmers. Meta announced plans last month to cut 10% of its workers. Microsoft is offering buyouts to about 7% of its US workforce. The pattern is clear: AI is not only creating new demand but also forcing companies to rethink how much structure they need to compete.
The Policy Situation: AI in Health Takes Center Stage
CEPS, the Brussels-based think tank, has announced a major event on AI in health scheduled for May 27. The timing is significant: the EU is entering a decisive period for digital health, with the AI Act, the European Health Data Space Regulation, and the European Biotech and Biomanufacturing Act all reshaping the rules.
A recent WHO Europe report found that 74% of EU countries are already using AI-assisted diagnostics, including tools that support medical imaging, disease detection, and clinical decision-making. Nearly half of EU Member States have created dedicated professional roles for AI and data science in health.
But the gaps are significant. Only 15% of EU countries offer pre-service AI training for healthcare professionals. Only 18% consulted the broader public in shaping AI governance. Only 7% have issued health-specific AI ethical guidelines. The report warns that systems developed without meaningful public input may face resistance regardless of their technical sophistication.
The European Commission's study on AI deployment in healthcare underscores continued fragmentation in data, uneven system readiness, and uncertainty around how to operationalize new regulatory obligations. Strategy&'s analyses show AI's market impact could more than double by 2030, but many organizations still struggle to extract tangible value.
The Numbers That Matter
$25M combined seed funding for CodeWords and Pit, signaling investor confidence in the agentic enterprise thesis.
$160M Series C for Quantum Motion, making it the UK's best-funded quantum computing company.
250 jobs cut at DeepL, approximately 25% of its workforce, as the company restructures around AI.
500,000 workflows running monthly on CodeWords' platform, according to the company.
85% reduction in campaign execution time reported by Pit's enterprise customers.
74% of EU countries already using AI-assisted diagnostics in healthcare, per WHO Europe.
€1.6B raised by European quantum startups in 2025, more than doubling the €700M raised in 2024.
The Week Ahead
May 11: CEPS event on "AI, collaboration and the new fraud frontier" in Brussels, examining how AI is reshaping financial crime detection.
May 19: Human x AI Europe in Vienna, where Europe's AI ecosystem gathers to discuss policy, investment, and implementation.
May 27: CEPS event on "AI in health: shaping the future" in Brussels, a stocktaking session on Europe's journey toward AI-enabled healthcare.
Ongoing: AI Act implementation continues, with the first compliance deadlines approaching. The European Commission's Apply AI Strategy is moving from policy document to operational reality.
The Thought That Lingers
The contrast between yesterday's funding announcements and DeepL's layoffs captures something essential about this moment. AI is simultaneously creating new categories of enterprise software and destroying the operating models of companies that built their businesses on the previous wave. CodeWords and Pit are betting that AI agents can replace entire software stacks. DeepL is cutting 25% of its workforce because AI is replacing work that humans used to do.
The question isn't whether AI will transform enterprise operations. The question is whether the transformation will be fast enough to outrun the disruption. For founders, investors, and policymakers watching Europe's AI ecosystem, the answer to that question will determine which companies survive the transition and which become case studies in what happens when the technology you built your business on becomes the technology that makes your business obsolete.
Frequently Asked Questions
What is the "agentic enterprise" and why does it matter?
The agentic enterprise refers to businesses that use AI agents to proactively automate workflows without human intervention. Unlike traditional automation tools that require users to design workflow logic, these AI agents learn how a business operates and build automations independently. This matters because it represents a fundamental shift from AI-assisted to AI-native operations, potentially replacing entire software stacks rather than just augmenting them.
How do CodeWords and Pit differ from existing automation tools?
CodeWords' Cody agent learns business operations and proactively builds automations, removing the need for users to design workflow logic like they would with Zapier or Make. Pit goes further by building custom production-grade software in days rather than selling pre-built tools. Both companies eliminate the technical expertise traditionally required for enterprise automation.
Why is Quantum Motion's silicon-based approach significant?
Quantum Motion uses standard 300mm CMOS technology (the same used in smartphones) to build quantum processors, claiming 100-fold reduction in cost and space requirements and 1,000-fold reduction in energy consumption compared to alternatives. This approach could make quantum computing more scalable and commercially viable than current methods.
What does DeepL's restructuring signal about the AI industry?
DeepL's decision to cut 25% of its workforce "before it has to" reflects a broader pattern where AI companies are proactively restructuring as AI tools replace work traditionally done by humans. This suggests that even well-funded AI companies recognize they need fewer people to remain competitive as AI capabilities advance.
What are the key gaps in EU AI healthcare adoption?
While 74% of EU countries use AI-assisted diagnostics, significant gaps remain: only 15% offer pre-service AI training for healthcare professionals, only 18% consulted the public in shaping AI governance, and only 7% have issued health-specific AI ethical guidelines. This creates risks of public resistance despite technical sophistication.
Human×AI Daily Brief is compiled from Tech.eu, TechFundingNews, Sifted, CEPS, WHO Europe, Crunchbase, and primary company announcements. This is meant to be useful, not comprehensive.