Outcraft AI Raises €2M to Build Autonomous Revenue Execution Agents

What happened

Outcraft AI, a Vilnius-based agentic AI startup, announced on April 16, 2026 that it has raised €2 million in pre-seed funding led by Practica Capital, with early backing from venture builder Lost Astronaut. The company is building a platform of autonomous software agents that execute sales and revenue tasks without human intervention — spanning lead qualification, demo booking, onboarding, payment recovery, and churn prevention.

Founded in 2025 by Will Nauseda, Edvinas Rakickas, and Rytis Dereskevicius, Outcraft AI connects to a company's existing CRM or commerce systems and monitors customer activity in real time. When a trigger event occurs — a new inbound lead, an abandoned checkout, a failed payment, or user inactivity — the platform's agents determine the optimal next action and execute it autonomously across voice calls, SMS, email, and WhatsApp. The agents can call customers, send messages, follow up across channels, answer questions, handle objections, and move interactions toward defined outcomes.

Early customers include Omnisend, Pulsetto, Kiloverse, and Warmy.io, with reported use cases in recovering abandoned checkouts, re-engaging inactive users, and increasing repeat purchases. The platform integrates with Salesforce, HubSpot, Shopify, and Stripe. With the new capital, Outcraft plans to accelerate development of its real-time voice and decision-making capabilities while expanding its go-to-market efforts into new markets.

Why it matters for practitioners

A €2 million pre-seed is modest by venture standards, but Outcraft AI's positioning represents a category trend that CI and RevOps teams should track closely. The company is not building another lead generation tool or conversation intelligence platform. It is building agents that execute the revenue lifecycle end-to-end — from first contact through close, retention, and recovery — without requiring a human in the loop for routine interactions.

1. "Revenue agent" is becoming a distinct product category. The past 18 months have seen a proliferation of AI tools labeled as agents, but most still function as assistants: they summarize, recommend, and draft. Outcraft AI is in a smaller cohort that claims full execution authority — the agent calls, negotiates, recovers payments, and books meetings on its own. For CI teams tracking the competitive landscape in sales enablement, this distinction matters. The shift from "AI-assisted" to "AI-executed" sales is a category-defining boundary that will separate the next generation of revenue tools from the current one.

2. Multi-channel execution raises the competitive bar. Most AI sales tools operate within a single channel — typically email or chat. Outcraft AI's agents operate across voice, SMS, email, and WhatsApp simultaneously, choosing the optimal channel based on context. This multi-channel execution model is harder to build and harder to compete with, because it requires real-time decision-making across different interaction types. For practitioners monitoring revenue intelligence tools, the multi-channel capability is a feature axis worth tracking as it becomes a competitive differentiator.

3. The focus is on execution, not insight. Outcraft AI's value proposition is fundamentally different from intelligence platforms that surface data for humans to act on. The company is betting that the bottleneck in revenue operations is not information but execution — specifically, the speed and consistency with which routine revenue actions are taken. This reframes the deal intelligence landscape: instead of alerting a rep that a payment failed or a user went inactive, the system handles the response directly. CI teams should watch whether this execution-first model gains traction with mid-market buyers who lack the headcount to act on every signal manually.

4. European AI startup activity in revenue tech is accelerating. Outcraft AI joins a growing cohort of European startups targeting the agentic revenue space, funded by regional investors like Practica Capital. For CI professionals tracking the global competitive landscape, this signals that the autonomous sales agent category is not a Silicon Valley–only story — European founders are bringing distinct approaches shaped by GDPR compliance requirements and multi-market go-to-market realities.

Key details

• Announcement date: April 16, 2026
• Funding: €2 million pre-seed
• Lead investor: Practica Capital
• Additional backer: Lost Astronaut (venture builder)
• Founded: 2025
• Headquarters: Vilnius, Lithuania
• Founders: Will Nauseda, Edvinas Rakickas, Rytis Dereskevicius
• Product: Autonomous revenue execution agents
• Channels: Voice, SMS, email, WhatsApp
• Integrations: Salesforce, HubSpot, Shopify, Stripe
• Early customers: Omnisend, Pulsetto, Kiloverse, Warmy.io
• Use cases: Lead qualification, demo booking, onboarding, payment recovery, churn prevention, abandoned checkout recovery
• Use of funds: Accelerate real-time voice and decision-making capabilities; expand go-to-market efforts

Market implications

Outcraft AI's raise lands in the middle of a broader wave of investment in autonomous revenue agents. In the past two months alone, HockeyStack announced $50M+ in cumulative funding for its Revenue Agents platform, and several established players have launched agent-like features. The question for the market is whether autonomous revenue execution becomes a feature within existing CRM and sales engagement platforms, or whether it emerges as a standalone category with purpose-built players like Outcraft AI leading the way.

The execution-first approach also has implications for how organizations think about revenue intelligence. Traditional revenue intelligence platforms — Gong, Clari, and others — are built around the insight-to-action loop: surface intelligence, then rely on humans to act. If autonomous agents can reliably execute routine revenue actions at scale, the value of the insight layer shifts. Intelligence becomes the decision logic embedded in the agent, not a dashboard for a human. This does not replace strategic intelligence work, but it does change what operational revenue intelligence looks like.

For CI teams specifically, the emergence of execution agents like Outcraft AI creates a new competitive vector to monitor. When a competitor deploys autonomous agents to recover failed payments or re-engage churned users, their response time drops from hours or days to seconds. That speed advantage compounds across thousands of customer interactions. Tracking which competitors are adopting execution agents — and which continue to rely on human-mediated workflows — becomes a meaningful input to competitive assessments, particularly in mid-market segments where headcount constraints make the automation advantage most pronounced.

Related resources

• Sales Enablement — how AI agents are reshaping the sales enablement stack
• Revenue Intelligence — the evolution of revenue intelligence from dashboards to autonomous agents
• Deal Intelligence — real-time deal-level intelligence that powers agent decision-making