Bengaluru, March 18: TableSprint has announced the launch of Fernor, a ready-to-use AI go-to-market agent designed to help founders and sales teams manage customer conversations, qualify leads and scale outreach without depending on engineering teams.
The launch marks the company’s latest push into AI-led business automation, with a product positioned for startups and smaller businesses that want faster deployment rather than complex technical setup.
At its core, Fernor brings together inbound chat, conversational voice AI and outbound calling in one platform. According to the company, the system is built to handle product queries, follow up with leads and schedule demos automatically. The pitch is straightforward: instead of asking early-stage companies to build and maintain AI sales systems from scratch, Fernor offers a ready-to-deploy alternative that can be used with minimal technical effort.
That positioning matters in a market where interest in AI tools is growing rapidly, but actual adoption often gets slowed by integration challenges. TableSprint is betting that many founders and sales teams do not want another layer of software complexity. They want a tool that can start working quickly, especially in areas where response time and follow-up discipline often make the difference between a warm lead and a lost one. Fernor is being presented as an answer to that gap.
The company says Fernor supports multi-turn conversations that retain context, a feature meant to make interactions feel more natural rather than scripted. It also claims reduced end-to-end latency, real-time speech recognition and multilingual conversation handling, all of which are increasingly becoming expected features in the emerging voice AI category.
In practical terms, this means businesses can use the platform not just for answering basic queries, but for carrying conversations forward in a way that feels more responsive to customer intent.
TableSprint has framed Fernor around three specific use cases in the go-to-market cycle. The first is inbound engagement, where AI chat and voice agents can respond to website visitors, answer questions, qualify prospects and book demos in real time.
The second is lead follow-up, with the system set up to call inbound leads automatically so businesses can avoid delays that often weaken conversion chances. The third is outbound sales outreach, where teams can upload prospect lists and let the platform run outbound calls, qualify prospects and schedule meetings.
For startups, ecommerce companies and service businesses, that mix could be appealing because it speaks to a common operational problem: sales activity is often fragmented. A business may have one tool for chat, another for calls and a separate system for lead management. Fernor’s proposition is that these workflows can be brought together into a single AI layer, reducing manual effort while keeping the sales pipeline active.
The company has specifically described the platform as being suited to businesses looking to automate sales engagement without having to build complex AI infrastructure.
Abhijeet Kumar, founder and chief executive officer of TableSprint, said the product is meant to remove the technical burden that often stands between smaller teams and useful AI deployment. “Founders and sales teams shouldn’t need to build AI agents from scratch just to engage their customers,” Kumar said. “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 rep that never misses a lead.”
The broader timing of the launch also reflects where the market appears to be heading. The company cited industry estimates that place the global voice AI agents market at $2.4 billion in 2024, with projections of reaching $47.5 billion by 2034 at a CAGR of 34.8%.
It also pointed to India’s voice recognition market, which it says is expected to grow from $462.8 million in 2024 to $2.98 billion by 2033. While these numbers reflect the wider category rather than Fernor specifically, they help explain why more startups are trying to build products around conversational automation and sales productivity.
TableSprint argues that small and mid-sized businesses are among the fastest adopters of such systems, especially for handling inbound queries, lead qualification and outbound sales without significantly increasing team size. That is an important part of the company’s thesis.
Unlike large enterprises, startups and growing businesses often do not have dedicated AI teams or the budget for long implementation cycles. A self-service agent builder for non-developers, which is how Fernor is described, may therefore find relevance if it can genuinely reduce friction in deployment.
Fernor also signals how TableSprint itself is evolving. Founded in 2024, the company initially began as a vibe-coding platform focused on helping teams build internal tools through AI-assisted development workflows.
As demand widened around AI-driven automation, TableSprint expanded into an AI agent infrastructure platform aimed at enabling businesses to deploy intelligent agents across functions. Fernor appears to be a product extension of that shift, taking the company from tooling for internal builds to a more directly packaged business-facing AI solution.
The founding team includes Abhijeet Kumar, Chirag Jadhav and Naga Santosh Joysula. The company notes that before starting TableSprint, Kumar had co-founded RainCan, a B2C subscription delivery startup later acquired by BigBasket and rebranded as BBdaily, which eventually scaled to over $100 million in annual revenue. Earlier, he worked at Oracle in enterprise application development and supply chain systems.
TableSprint has also previously raised $1 million in seed funding from angel investors and venture firms including Ankit Bhati, Ajeet Khurana, Sunil Sharma, BlueLotus Ventures, TDV Partners, DGC Ventures and Abhijeet Bhandari.
For now, Fernor is available in early access. TableSprint says companies can deploy it within days through guided onboarding and minimal technical setup. That early-access phase will likely determine how well the product performs beyond its launch narrative. But as of now, TableSprint is clearly trying to position Fernor as a practical sales automation tool for businesses that want AI to be useful from day one, not another long-term technical project.
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