Most companies spend enormous amounts of money trying to generate demand.<\/p>\n\n\n\n
Advertising.<\/p>\n\n\n\n
Content.<\/p>\n\n\n\n
SEO.<\/p>\n\n\n\n
Events.<\/p>\n\n\n\n
Sales teams.<\/p>\n\n\n\n
Lead-generation agencies.<\/p>\n\n\n\n
Then somebody finally fills in a form.<\/p>\n\n\n\n
And nothing happens.<\/p>\n\n\n\n
Perhaps a salesperson calls the next morning.<\/p>\n\n\n\n
Perhaps an automated email arrives.<\/p>\n\n\n\n
Perhaps the lead sits untouched in a CRM until somebody has time.<\/p>\n\n\n\n
By then, the person who was interested may already have spoken to a competitor.<\/p>\n\n\n\n
Vilnius-based Outcraft AI is built around the idea that many companies do not actually have a lead-generation problem. They have a lead-handling problem.<\/strong><\/p>\n\n\n\n The startup is building autonomous AI sales agents that react to customer intent immediately \u2014 calling, texting, emailing or messaging people on WhatsApp, holding conversations and continuing the follow-up until something actually happens.<\/p>\n\n\n\n A demo gets booked.<\/p>\n\n\n\n An abandoned checkout becomes a purchase.<\/p>\n\n\n\n A failed payment gets recovered.<\/p>\n\n\n\n A customer considering cancellation stays.<\/p>\n\n\n\n Or the conversation is passed to a human salesperson with the context already collected.<\/p>\n\n\n\n Outcraft calls itself an AI sales team for inbound demand<\/strong>.<\/p>\n\n\n\n The important word may be team<\/em>.<\/p>\n\n\n\n It does not want to simply give companies another AI tool.<\/p>\n\n\n\n It wants the AI to do the work.<\/p>\n\n\n\n Outcraft was founded in 2025 by Will Nauseda, Edvinas Rakickas and Rytis Dere\u0161kevi\u010dius<\/strong>.<\/p>\n\n\n\n The founders came at the same problem from different directions.<\/p>\n\n\n\n Nauseda had worked as VP of Sales and Chief Commercial Officer at software companies. At email-deliverability platform Warmy, he was responsible for a sales organisation facing a familiar problem: new trial users were arriving, but a small human sales team could not contact every one of them immediately.<\/p>\n\n\n\n Rakickas had built Nextus.ai<\/strong>, a lead-generation agency that generated large numbers of prospects for clients.<\/p>\n\n\n\n That experience produced a somewhat uncomfortable insight.<\/p>\n\n\n\n Companies were paying to generate more leads while already losing many of the leads they had.<\/p>\n\n\n\n Rakickas later described the problem simply: most companies do not have a lead problem \u2014 they have a lead-handling problem.<\/strong> Leads are contacted too slowly, buyers lose interest and acquisition spending is wasted.<\/p>\n\n\n\n Dere\u0161kevi\u010dius brought the technical side. An experienced software engineer and former lead engineer at Hostinger, he had also previously co-founded the online design platform Wizlogo.<\/p>\n\n\n\n Together, the three started building what became Outcraft.<\/p>\n\n\n\n One of the more convincing aspects of the Outcraft origin story is that the original problem was not invented for a pitch deck.<\/p>\n\n\n\n Nauseda wanted the product while running sales.<\/p>\n\n\n\n Warmy became an early deployment.<\/p>\n\n\n\n Before Outcraft, its human SDR team was booking roughly three to five sales meetings per week<\/strong> from incoming free-trial users.<\/p>\n\n\n\n Outcraft began contacting new users within minutes of signup.<\/p>\n\n\n\n The AI could call them.<\/p>\n\n\n\n If they did not answer, it could follow up by email or SMS.<\/p>\n\n\n\n If the person was interested, it could qualify them and book a meeting directly into the calendar.<\/p>\n\n\n\n According to Outcraft’s case study, weekly booked meetings increased to roughly 18\u201322<\/strong>, while trial-to-demo conversion improved by around 15%<\/strong>.<\/p>\n\n\n\n The underlying number of incoming leads had not suddenly increased.<\/p>\n\n\n\n The company simply began talking to far more of them while their interest was still fresh.<\/p>\n\n\n\n That became the core thesis behind Outcraft:<\/p>\n\n\n\n intent has a short half-life.<\/strong><\/p>\n\n\n\n The easiest way to misunderstand Outcraft is to imagine a chatbot with a phone number.<\/p>\n\n\n\n Its ambition is broader.<\/p>\n\n\n\n Outcraft connects to systems a business already uses \u2014 CRM platforms, e-commerce systems, payment infrastructure and marketing tools.<\/p>\n\n\n\n It watches for events.<\/p>\n\n\n\n A new demo request appears in HubSpot.<\/p>\n\n\n\n Someone starts a Shopify checkout and abandons it.<\/p>\n\n\n\n A Stripe payment fails.<\/p>\n\n\n\n A trial user stops engaging.<\/p>\n\n\n\n A customer indicates they may cancel.<\/p>\n\n\n\n Those events become triggers.<\/p>\n\n\n\n Outcraft then decides what to do next.<\/p>\n\n\n\n Perhaps call.<\/p>\n\n\n\n Perhaps send a text first.<\/p>\n\n\n\n Perhaps email.<\/p>\n\n\n\n Perhaps move the conversation to WhatsApp.<\/p>\n\n\n\n And the same interaction can continue across those different channels rather than becoming four unrelated automation sequences.<\/p>\n\n\n\n The platform currently advertises more than 20 native integrations<\/strong>, including Salesforce, HubSpot, Shopify and Stripe. It supports voice conversations in more than 40 languages and regional dialects<\/strong>.<\/p>\n\n\n\n That distinction matters.<\/p>\n\n\n\n Traditional automation generally follows rules.<\/p>\n\n\n\n If this happens, send this email.<\/em><\/p>\n\n\n\n Wait two days.<\/em><\/p>\n\n\n\n Send another email.<\/em><\/p>\n\n\n\n Outcraft wants the agent to read the response, understand what happened and decide the next action dynamically.<\/p>\n\n\n\n The unit of automation becomes the conversation<\/strong>, not the message.<\/p>\n\n\n\n Email automation has existed for decades.<\/p>\n\n\n\n SMS automation is hardly new either.<\/p>\n\n\n\n What makes the current generation of systems different is the rapid improvement in real-time voice AI.<\/p>\n\n\n\n A phone conversation contains much more uncertainty than an automated email.<\/p>\n\n\n\n The person asks a question.<\/p>\n\n\n\n Interrupts.<\/p>\n\n\n\n Objects to the price.<\/p>\n\n\n\n Changes subject.<\/p>\n\n\n\n Says they are busy.<\/p>\n\n\n\n Wants to know whether the product supports a particular feature.<\/p>\n\n\n\n Asks for Tuesday instead of Wednesday.<\/p>\n\n\n\n A traditional phone-tree system breaks quickly.<\/p>\n\n\n\n Outcraft says its voice agents are designed to hold real-time conversations, answer product questions and respond to objections rather than simply reading predetermined scripts.<\/p>\n\n\n\n This creates an interesting new possibility.<\/p>\n\n\n\n Until recently, giving every e-commerce shopper or SaaS trial user a personal phone call would have been economically absurd.<\/p>\n\n\n\n A company might have thousands of abandoned carts.<\/p>\n\n\n\n Hiring people to telephone every one of them would cost more than the recovered sales were worth.<\/p>\n\n\n\n AI changes that equation.<\/p>\n\n\n\n Suddenly, every abandoned cart can theoretically get a salesperson<\/strong>.<\/p>\n\n\n\n Outcraft is applying the same model beyond B2B software.<\/p>\n\n\n\n For an e-commerce company, the signal may not be a demo form.<\/p>\n\n\n\n It may simply be a customer who reached checkout and disappeared.<\/p>\n\n\n\n Perhaps their card failed.<\/p>\n\n\n\n Perhaps they were confused about delivery.<\/p>\n\n\n\n Perhaps they had a product question.<\/p>\n\n\n\n Perhaps they became distracted.<\/p>\n\n\n\n Traditional e-commerce systems respond with an abandoned-cart email.<\/p>\n\n\n\n Outcraft can respond with a conversation.<\/p>\n\n\n\n One of its early customers is Lithuanian wellness-technology company Pulsetto<\/strong>.<\/p>\n\n\n\n Outcraft says its agents have been used for abandoned-checkout recovery, post-purchase upsells and customer-education calls. According to an Outcraft case study, these workflows have produced more than $100,000 in recurring monthly revenue<\/strong>, with reported ROI above 30\u00d7<\/strong> over a six-month period.<\/p>\n\n\n\n Those figures come from Outcraft’s own customer reporting, but they illustrate why investors are interested in the category.<\/p>\n\n\n\n If an AI product can be connected directly to revenue recovered, its value becomes much easier to measure than that of a general-purpose productivity assistant.<\/p>\n\n\n\n Another early customer is Omnisend<\/strong>, one of Lithuania’s best-known global SaaS companies.<\/p>\n\n\n\n Omnisend already specialises in automated e-commerce communication through channels such as email and SMS.<\/p>\n\n\n\n Outcraft adds another layer.<\/p>\n\n\n\n Customer behaviour inside Omnisend can become a trigger for AI-driven conversations through voice and other messaging channels.<\/p>\n\n\n\n An audience segment changes.<\/p>\n\n\n\n Purchase intent appears.<\/p>\n\n\n\n A customer stops engaging.<\/p>\n\n\n\n A repeat-purchase opportunity emerges.<\/p>\n\n\n\n The signal already exists.<\/p>\n\n\n\n Outcraft acts on it.<\/p>\n\n\n\n Omnisend’s Director of Sales and Partnerships Marty Bauer has described the system as a \u201cforce multiplier\u201d<\/strong> for the company’s go-to-market team, allowing its human BDRs to spend more time on higher-value work while AI handles repetitive initial engagement.<\/p>\n\n\n\n That framing is important because Outcraft is not positioning itself simply as a way to fire the sales department.<\/p>\n\n\n\n There is an obvious fear around AI sales agents.<\/p>\n\n\n\n If the AI becomes capable of calling leads, qualifying them, answering questions and booking meetings, what happens to salespeople?<\/p>\n\n\n\n Outcraft’s own positioning is more nuanced.<\/p>\n\n\n\n The company argues that AI is particularly good at the first conversation at scale<\/strong>.<\/p>\n\n\n\n Every lead gets contacted.<\/p>\n\n\n\n Every abandoned cart can receive attention.<\/p>\n\n\n\n Every failed payment can be followed up.<\/p>\n\n\n\n The agent does not forget.<\/p>\n\n\n\n It does not finish work at 17:00.<\/p>\n\n\n\n And it does not decide that the twentieth lead of the afternoon can probably wait until tomorrow.<\/p>\n\n\n\n But Outcraft itself says there are limits.<\/p>\n\n\n\n For niche, complicated or high-value opportunities, a properly briefed human can still be the better salesperson.<\/p>\n\n\n\n The AI’s role is increasingly to make sure that human gets the opportunity at the right moment \u2014 already qualified and with the earlier conversation attached.<\/p>\n\n\n\n The division of labour becomes:<\/p>\n\n\n\n AI handles scarcity of attention. Humans handle complexity.<\/strong><\/p>\n\n\n\n In April 2026, only months after the company was founded, Outcraft announced a \u20ac2 million pre-seed investment led by Practica Capital<\/strong>.<\/p>\n\n\n\n The company had previously received early backing from venture builder Lost Astronaut<\/strong>.<\/p>\n\n\n\n Practica highlighted two things in particular: Outcraft’s vision for lean revenue teams, where a very small human team can operate a large inbound-sales motion, and the fact that the startup had already attracted substantial customers while still operating largely in stealth.<\/p>\n\n\n\n The capital is being used for product development, go-to-market expansion and entry into additional markets.<\/p>\n\n\n\n A \u20ac2 million pre-seed round is significant for a company this young.<\/p>\n\n\n\n But the timing is also significant.<\/p>\n\n\n\n Outcraft is entering one of the most crowded areas in software.<\/p>\n\n\n\n Everyone is building agents.<\/p>\n\n\n\n It is now remarkably easy to demonstrate an AI agent.<\/p>\n\n\n\n Connect a language model.<\/p>\n\n\n\n Add a voice provider.<\/p>\n\n\n\n Give it access to some company information.<\/p>\n\n\n\n Make a phone call.<\/p>\n\n\n\n The demo can be impressive.<\/p>\n\n\n\n Building a business around it is harder.<\/p>\n\n\n\n Outcraft therefore makes a deliberate distinction between itself and voice-agent builders such as Bland, Synthflow or Retell.<\/p>\n\n\n\n Those products provide infrastructure from which a company can build an AI calling system.<\/p>\n\n\n\n Outcraft wants to sell the completed workflow.<\/p>\n\n\n\n The customer should not need to design every conversational branch, connect the voice tool to the CRM, build follow-up automation and then decide how success is measured.<\/p>\n\n\n\n Outcraft wants the instruction to be closer to:<\/p>\n\n\n\n When somebody requests a demo, turn them into a qualified meeting.<\/strong><\/p>\n\n\n\n Or:<\/p>\n\n\n\n When somebody abandons checkout, try to recover the sale.<\/strong><\/p>\n\n\n\n The underlying calls, emails, SMS messages, integrations and decisions become implementation details.<\/p>\n\n\n\n Success is measured in booked meetings or recovered revenue rather than call minutes.<\/p>\n\n\n\n That is potentially a much more defensible position.<\/p>\n\n\n\n The value is no longer the fact that an AI can talk.<\/p>\n\n\n\n It is whether the system can reliably accomplish a commercial objective.<\/p>\n\n\n\n For years, sales software was mostly software used by salespeople<\/strong>.<\/p>\n\n\n\n CRMs stored opportunities.<\/p>\n\n\n\n Sales-engagement platforms scheduled emails.<\/p>\n\n\n\n Diallers helped people make more calls.<\/p>\n\n\n\n Analytics tools showed managers what the team was doing.<\/p>\n\n\n\n AI agents introduce a fundamentally different category.<\/p>\n\n\n\n The software itself becomes a participant in the sales process.<\/p>\n\n\n\n A person requests a demo at 23:47.<\/p>\n\n\n\n Nobody is working.<\/p>\n\n\n\n Ten seconds later, their phone rings.<\/p>\n\n\n\n The voice on the other end knows which product they were looking at.<\/p>\n\n\n\n It answers their initial questions.<\/p>\n\n\n\n Determines whether the company is a good fit.<\/p>\n\n\n\n And books a meeting with a human account executive the following morning.<\/p>\n\n\n\n Nobody had to notice the lead.<\/p>\n\n\n\n Nobody had to create a task.<\/p>\n\n\n\n Nobody had to remember to follow up.<\/p>\n\n\n\n The CRM has moved from being a database of things humans should do into a source of signals that machines can act upon.<\/p>\n\n\n\n There is something particularly attractive about Outcraft’s business logic.<\/p>\n\n\n\n It is not primarily promising to create demand out of nowhere.<\/p>\n\n\n\n The customer already did the expensive part.<\/p>\n\n\n\n They bought the advertising.<\/p>\n\n\n\n Created the content.<\/p>\n\n\n\n Built the product.<\/p>\n\n\n\n Generated the traffic.<\/p>\n\n\n\n Convinced somebody to visit the website.<\/p>\n\n\n\n And persuaded that person to demonstrate intent.<\/p>\n\n\n\n Outcraft focuses on what happens immediately afterwards.<\/p>\n\n\n\n That makes its core proposition unusually easy to understand:<\/p>\n\n\n\n do not spend money creating an interested customer and then lose them because nobody responded.<\/strong><\/p>\n\n\n\n The company was founded only in 2025.<\/p>\n\n\n\n Its \u20ac2 million pre-seed round arrived in April 2026.<\/p>\n\n\n\n It is still extremely early.<\/p>\n\n\n\n And the market for AI agents is moving so quickly that today’s technological advantage can disappear in months.<\/p>\n\n\n\n But Outcraft has already found a useful place to draw the boundary around the problem.<\/p>\n\n\n\n Not AI for sales<\/em>.<\/p>\n\n\n\n Not a better chatbot<\/em>.<\/p>\n\n\n\nThe expensive few minutes after someone says \u201cI\u2019m interested\u201d<\/h3>\n\n\n\n
The first customer was effectively the founder himself<\/h3>\n\n\n\n
Not another chatbot<\/h3>\n\n\n\n
Voice changes what automation can do<\/h3>\n\n\n\n
Calling someone who abandoned a shopping cart sounds strange \u2014 until it works<\/h3>\n\n\n\n
Omnisend meets the channel it did not already have<\/h3>\n\n\n\n
Humans still get the difficult conversations<\/h3>\n\n\n\n
A \u20ac2 million pre-seed round<\/h3>\n\n\n\n
The AI-agent market has a differentiation problem<\/h3>\n\n\n\n
The salesperson who responds in ten seconds<\/h3>\n\n\n\n
Building for the moment companies already paid to create<\/h3>\n\n\n\n