What is Slang?
Slang AI provides a specialized voice AI solution designed to streamline restaurant operations by managing inbound phone traffic and reservation workflows. By integrating directly with existing reservation systems, the platform enables restaurants to capture more bookings while simultaneously reducing the administrative burden on staff. The technology handles guest inquiries, routes priority topics, and facilitates automated text interactions, effectively transforming the traditional phone line into a high-performance digital asset. As a B2B SaaS provider, Slang occupies a critical niche at the intersection of hospitality and artificial intelligence, addressing the persistent challenge of labor shortages and operational bottlenecks in the food service industry.
How much funding has Slang raised?
Slang has raised a total of $56.8M across 3 funding rounds:
Seed
$750K
Series A
$20M
Series B
$36M
Seed (2020): $750K, investors not publicly disclosed
Series A (2023): $20M led by Wing Venture Capital, Underscore VC, Active Capital, Stage 2 Capital, and Homebrew
Series B (2026): $36M supported by Wing Venture Capital, Stage 2 Capital, Homebrew, Collide Capital, Active Capital, Underscore VC, and U.S. Venture Partners
Key Investors in Slang
Wing Venture Capital
Wing Venture Capital is an early-stage investor and long-term company builder that focuses on equipping founders with resources and unwavering partnerships to develop innovative products in AI and data.
Stage 2 Capital
Stage 2 Capital is a venture capital fund led by over 800 go-to-market experts, focusing on investing in B2B software companies and providing data-driven frameworks for scaling revenue.
U.S. Venture Partners
U.S. Venture Partners is a prominent Silicon Valley firm specializing in early-stage investments across cybersecurity, enterprise software, and consumer products.
What's next for Slang?
With the successful closure of this major strategic investment, Slang is well-positioned to accelerate its product roadmap and expand its footprint within the enterprise hospitality market. The focus will likely shift toward deepening integrations with global reservation platforms and enhancing the natural language processing capabilities of its AI agents to handle increasingly complex guest interactions. Furthermore, the company is expected to leverage this capital to scale its go-to-market strategy, targeting larger restaurant chains that require enterprise-grade reliability and seamless operational support. As the demand for automated customer service solutions continues to rise, Slang's ability to deliver measurable ROI through reduced staff time and increased booking volume will be central to its long-term success and potential for further institutional backing.
See full Slang company page
