A voice for the industry's hardest conversation
Most artificial-intelligence startups chase the glamorous problems: chat assistants, image generators, coding copilots. Skit.ai went in the opposite direction. It built software for the phone call that begins, "This is an attempt to collect a debt."
Skit.ai is a conversational-AI company headquartered at 135 Madison Avenue in New York, with its engineering roots in Bangalore, India. Its platform automates debt collection and accounts-receivable management - the unglamorous, heavily regulated business of getting people to pay what they owe. Instead of a room full of human agents dialing through lists, Skit.ai deploys AI agents that speak, text, email, and chat with consumers, handle routine follow-ups, negotiate payment plans, and hand off to a person when a conversation needs one.
The company did not start here. Founded in 2016 by Sourabh Gupta and Akshay Deshraj as Vernacular.ai, it first built multilingual voice bots for Indian languages, powered by an assistant called VIVA that trained on more than ten million hours of speech. In 2021 it rebranded to Skit, raised a $23 million Series B, and pointed its technology squarely at the US collections market. The pivot is instructive: the first market taught the company how to build voice AI; the second paid for it.
Skit.ai sits at the intersection of AI and collections - trained to feel, decide and act like your star collector.
Who uses it
Skit.ai's customers are the organizations that carry consumer debt on their books, and the agencies that collect on their behalf. Cumulatively the platform has served more than 53,000 creditors across 19-plus debt types - banks, collection agencies, fintechs, healthcare systems, auto-finance lenders, and utilities - with over 120 active collection teams. Named clients include Anderson Brothers Bank, Veros Credit, Avid Acceptance, Revenue Enterprises, Pollack and Rosen, Collections Bureau of America, and LJ Ross Associates. In its Vernacular.ai years it counted enterprises like Axis Bank among its users.
The problem it solves
Collections is expensive, repetitive, and legally hazardous. Human agents are costly to staff and train, turnover is high, and every call carries compliance risk - a missed disclosure or a call placed at the wrong hour can trigger a violation. Skit.ai's pitch addresses all three at once. By the company's own figures, a call handled by its voice AI costs roughly one-third of the same call handled by a human agent. And because compliance rules such as call-frequency limits and the Mini-Miranda disclosure are coded directly into the platform, the AI cannot simply forget them the way a tired agent might.
Calls handled by Voice AI cost approximately one-third of a traditional collection call handled by a human agent.
How it is different
Plenty of vendors sell contact-center automation. Skit.ai's distinction is focus and depth. Rather than a general-purpose chatbot, it built a purpose-built Collection Intelligence Platform and an ecosystem of seven specialized AI agents that split the collections workflow between them - decisioning, outreach, quality assurance, and skip-tracing. Competitors such as Prodigal, TrueAccord, Observe.AI, and Dialpad circle the same territory, but Skit.ai's eight-plus years of live deployments, its billion-conversation dataset, and its compliance-first architecture are the moat it points to. In a regulated industry, being deep beats being broad.
The company describes its differentiators plainly: experience, data, and compliance depth "needed to deliver results from day one." That is a claim tuned for a buyer who counts every recovered dollar - and who fears every regulatory fine.
Products and services
At the center is the Collection Intelligence Platform, which handles strategy, journey design, and optimization. Around it sit the generative-AI-powered multichannel assistants - voice, SMS, email, and chat - for first-party, third-party, and early-out collections. Underneath run the compliance controls and "responsible voice AI" guardrails, including bias controls. The AI agents themselves carry job titles a manager would recognize: Manager, Collector, Analyst, Auditor, Coach, Scrubber, and Tracer. It is less a single bot than a synthetic collections team.
The business model
Skit.ai is straightforward B2B SaaS. It sells subscription and usage-based access to its platform, priced against the cost advantage of AI-handled calls and the recovery lift it delivers. Third-party estimates put annual revenue in the neighborhood of $50 million, though the company has not confirmed a figure. Its investors - WestBridge Capital, Kalaari Capital, and Exfinity Ventures among them - have backed a business whose growth is tied directly to a metric buyers can measure: money recovered.
Where it fits in the market
Skit.ai occupies a specific corner of the AI landscape: applied, vertical, and revenue-generating rather than experimental. As generative models from OpenAI, Google, and Anthropic became commodities, Skit.ai's advantage shifted from raw model capability to domain expertise - knowing exactly how a compliant collections conversation should go, and having a billion of them to learn from. Recognition has followed: a 2024 Artificial Intelligence Excellence Award in natural-language processing, an IDC Innovator designation for Voice AI in 2025, a Stevie Gold for Most Innovative Company in 2023, and a Forbes 30 Under 30 nod for its CEO. The frontier here is not flashy. It is a phone ringing on a Tuesday afternoon, answered the same way every time.