Scalvy closes oversubscribed $13.9M Series A
Austin-based startup Scalvy has secured $13.9 million in an oversubscribed Series A funding round, led by global venture capital firm Silicon Badia. The fresh capital will help the company accelerate product development and expand its go‑to‑market efforts for its AI-powered sales automation platform.
Backing AI-driven sales productivity
Scalvy develops software that uses machine learning and data analytics to streamline how sales teams identify, qualify and engage prospects. By automating repetitive workflows and surfacing the most promising leads, the platform aims to boost conversion rates while reducing time spent on manual tasks.
The oversubscribed nature of the round signals strong investor confidence in the company’s technology and its positioning in the rapidly growing market for revenue intelligence and sales enablement tools. With budgets under pressure and teams expected to do more with less, demand for measurable gains in sales productivity is increasing across both startups and large enterprises.
Use of funds and growth plans
The new funding will be directed toward scaling Scalvy’s engineering and customer success teams, enhancing its AI models, and deepening integrations with popular CRM platforms and communication tools. The company is also expected to invest in expanding its presence beyond Austin, targeting additional markets in North America and potentially Europe.
By focusing on accurate forecasting, intelligent lead scoring and automated outreach, Scalvy aims to position itself as a core component of modern sales tech stacks. The partnership with Silicon Badia brings not only capital but also access to a broad network of technology operators and potential customers, which could help the startup accelerate adoption in competitive enterprise segments.
As businesses continue to seek data-driven ways to grow revenue, investor interest in platforms like Scalvy underscores the momentum behind AI-driven sales tools and their role in reshaping how commercial teams operate.