There have been rapid advancements and developments in artificial intelligence, redefining the way humans and AI collaborate and interact to fulfill a need with greater efficiency and speed. The most prevalent example of this has been through AI copilots which serve to provide decision support to the user, typically through natural language, chat-based queries. As you move further down the autonomy continuum, AI agents have emerged as the most autonomous form of AI. These agents can operate and make decisions independently from the data they process, while also learning from their experiences. Breakthroughs in voice technology and related technical foundations have given rise to an even more sophisticated agent, one that can interact with humans through voice. These voice AI agents are inherently difficult to build from scratch given the complexity and nuance around voice-based conversations relative to chat-based conversations. In order to be effective, the voice AI needs to be able to communicate in a way that’s natural, fluid and human-like. Here at Ansa, we’ve been building a thesis on AI infrastructure and tooling that can lower the barriers to entry and enable businesses to build their own bespoke AI voice agents in a way that's scalable.
Ansa is excited to announce its participation in Bland’s Series A. Bland’s platform offers a scalable, flexible approach to building AI voice agents for any enterprise that has inbound or outbound phone calling needs. Their low-code/ no-code platform empowers enterprises with the infrastructure and tooling needed to power and scale high-performing voice agents. This includes the infrastructure to solve for the nuances around voice including interruption detection, filler word detection, noise reduction, sentiment detection, intonation detection, and more. As an enterprise-grade platform, Bland’s proprietary models are built with all the guardrails needed to ensure agents operate within legal, ethical and functional parameters.
As enterprises increasingly look to address critical pain points related to their contact center operations, which include staffing shortages, high turnover and low containment rates in existing IVR systems, Bland is at the forefront of enabling market access and adoption of voice AI. We’re excited to be on this journey with them as they revolutionize the phone call as we know it today. Check out bland.ai to learn more and explore career opportunities.