TableSprint has announced the launch of Fernor, a ready-to-use AI go-to-market (GTM) agent built to help founders and sales teams handle customer conversations, qualify leads and scale outbound outreach without needing engineering support.
Built on TableSprint’s AI agent infrastructure, Fernor brings together inbound chat, conversational voice AI and outbound calling within a single platform. The system can engage prospects, answer product questions, follow up with leads and automatically schedule demos.
Fernor supports multi-turn conversations that retain context, allowing for more natural interactions with prospects. With reduced end-to-end latency and real-time speech recognition, the platform can also manage multilingual conversations smoothly, enabling businesses to respond to customers in a more responsive and human-like manner.
Despite the rapid growth of AI tools, deployment complexity remains a major barrier for many startups and small businesses. Many solutions require technical teams to configure and maintain AI systems, limiting adoption among non-technical founders and lean sales teams. Fernor is designed to simplify that process by offering a ready-to-deploy AI agent that teams can start using almost immediately.
“Founders and sales teams shouldn’t need to build AI agents from scratch just to engage their customers,” said Abhijeet Kumar, Founder and Chief Executive Officer, TableSprint.
He added, “With Fernor, we’re giving them an AI agent that’s ready to deploy, so they can focus on closing deals, not managing technology. It’s like having a 24/7 sales representative that never misses a lead.”
The launch comes as companies increasingly explore Voice AI agents to improve sales productivity and customer engagement. What began as simple voice assistants is now evolving into more advanced systems capable of managing full customer conversations, answering questions, qualifying leads and completing tasks with minimal human intervention.
According to Market.us, the global voice AI agents market valued at USD 2.4 billion in 2024 is projected to reach USD 47.5 billion by 2034, surging at a 34.8 per cent CAGR as businesses deploy conversational systems for sales, customer support and automation. In India, the voice recognition market is set to expand from USD 462.8 million in 2024 to USD 2.98 billion by 2033.
As these systems become easier to deploy and require less engineering effort, adoption is expanding beyond large enterprises to startups and growing businesses.
Fernor focuses on automating key moments in the go-to-market journey. It enables AI chat and voice agents to engage website visitors in real time, answer product questions, qualify leads and book demos. The system also automatically calls inbound leads to ensure quick responses, while allowing teams to upload prospect lists and run outbound calls, qualify prospects and schedule meetings.
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