Wayy.ai, an AI startup developing an autonomous sales platform for solopreneurs and small businesses, has raised $2 million in pre-seed funding and launched its AI-powered virtual sales co-founder. The round was led by 0 to 1 Ventures, with participation from strategic angel investor Tunç Yalgin and other US-based angel investors. The funding will support product development and go-to-market expansion.
AI-powered sales automation
Wayy.ai automates customer discovery, lead qualification, personalized outreach and partner identification, allowing founders to focus on building their businesses. The cloud-based platform analyzes company information and LinkedIn profiles to identify qualified prospects, generate outreach messages and continuously optimize sales campaigns.
The platform uses a multi-layer scoring system that evaluates leads based on industry fit, decision-making authority, buying intent and ideal customer profile. Every few days, AI updates targeting and messaging based on engagement data while monitoring networks for new sales opportunities.
Around 70 companies already use the platform on a recurring basis, with customers reporting increased lead generation, more meetings and higher conversion rates.
Supporting the next generation of founders
The company plans to expand beyond AI outreach by building referral networks, affiliate programs and additional go-to-market automation tools for entrepreneurs worldwide.
Leo Popov, Founder and CEO of Wayy.ai, said: "The number of people starting their own businesses has surged, and a big part of that is driven by layoffs. These are talented, motivated people who have the skills to build something real — but they're doing it alone, with limited budgets and no co-founder to lean on. That's exactly who Wayy.ai was built for. Everyone deserves a partner in their corner who knows how to sell, works around the clock, and never asks for equity."
Dr. Aleksei Samarin, CTO and Technical Co-Founder of Wayy.ai, added: "The way most people find their best customers manually is by going through a long mental checklist — does this person work in the right industry, do they have the budget, do they have the problem we solve, are they the right decision-maker. We built a system that replicates that reasoning process across thousands of profiles simultaneously. Each candidate passes through several layers of filtering and scoring before it ever reaches the user. The speed is what changes — the judgment stays the same."