Business EconomyPosted at: Oct 29 2026 1:55PM


Welocity says profitable, processes 2.5 million interview minutes monthly

Bengaluru, Oct 29 (UNI) Bengaluru-based artificial intelligence startup Welocity on Thursday said it is already profitable and processes 2.5 million minutes of AI-powered interviews every month, as it seeks to accelerate enterprise recruitment through multilingual interviews and automated candidate assessments.
The company, which has developed an AI-native talent delivery platform, said it had interviewed more than one lakh candidates and was actively working with around 80 enterprise clients. It aims to deliver assessed, interview-ready candidates to hiring managers within 48 hours, reducing the time employers spend screening resumes and conducting preliminary interviews.
However, Welocity declined to disclose its revenue, profit figures, valuation, bootstrapping investment or financial targets, saying its immediate priority was to expand its customer base and improve services for employers and job seekers.
Co-founder and chief executive officer Sunil Bist said the company had bootstrapped its operations and was focused on building the business rather than discussing fundraising plans.
The startup has developed its technology over nearly three years and operated largely in stealth mode for about a year before making its public debut. It currently serves clients in India and the United Kingdom and plans to expand into the United States and Europe.
Welocity's platform uses two AI agents — Octo, which conducts structured video interviews and technical assessments, and Numa, which evaluates behavioural attributes relevant to a candidate's prospective role.
Octo conducts interviews in more than 25 languages, including English, Hindi, Tamil, French and German, allowing candidates to participate through their own devices at a convenient time. Numa assesses aspects such as communication, problem-solving and workplace suitability before profiles are submitted to employers.
Bist said the company combines foundation large language models with its own models for job descriptions and interviews. Its core interview technology is covered by a provisional patent application filed with the Indian Patent Office in August 2026.
The company said its system generates questions contextually by drawing on the job description, the candidate's resume, the skills required for the role and responses emerging during the interview, rather than following a fixed sequence of questions.
The platform is designed to complete the preliminary stages of recruitment, allowing employers to concentrate on evaluating candidates who have already undergone structured interviews and assessments. Welocity said final hiring decisions remain with human recruiters and employers.
The company estimated that between 25 and 50 per cent of the candidates it submits could make it to the shortlist, with 25 per cent cited as a conservative estimate. Its representatives contrasted this with conventional recruitment, where employers may interview 20 to 25 candidates for a role before identifying a suitable applicant.
The company did not provide independently verified data on hiring conversion, candidate retention or the proportion of vacancies for which its 48-hour delivery target is met.
Welocity clarified that its 48-hour proposition refers to delivering assessed, interview-ready candidates to hiring managers, rather than guaranteeing that the entire recruitment process, including the final selection and joining, will be completed within that period.
The company has also partnered with WeWork India, giving member businesses access to its recruitment platform. The arrangement is expected to widen Welocity's reach among enterprises, global capability centres and startups, while enabling WeWork India to offer additional services to its members.
Welocity said the partnership could help it expand beyond its existing enterprise relationships. However, it did not disclose how many WeWork India member companies had become active paying customers or how many had hired through the platform.
Citing an example of its reach beyond major cities, Bist said the company had worked on a field-sales recruitment assignment for a major insurance company involving around 300 locations, including rural and tier-three areas.
The assignment highlighted the potential for multilingual interviews to help employers assess candidates in locations where conventional recruitment infrastructure may be limited. Candidates can participate using their own devices, although internet connectivity remains necessary.
Welocity Co-founder and Chief AI Officer Murli Ramkrishnan said it had worked to optimise its system to address challenges associated with poor bandwidth and interruptions during interviews. The company said interviews could resume from where they stopped if a candidate lost connectivity or switched devices.
The platform also incorporates privacy safeguards. Candidate profiles are not publicly accessible and are visible only to hiring managers at registered client companies, while personal contact details remain protected unless access is appropriately authorised and consent requirements are met.
The company's business model requires clients to pay when a candidate joins, according to the company. Welocity expects operating margins to improve as interview volumes increase, while acknowledging that AI infrastructure entails significant costs.
Bist said the business must remain commercially viable while addressing the challenges faced by employers and job seekers. The company declined to identify individual enterprise clients or disclose the number of candidates ultimately hired through its platform, citing confidentiality.
Ramkrishnan said its longer-term ambition was to build a global network in which candidates could be assessed fairly across languages and geographies and considered for multiple employment opportunities.
A key test for the company will be whether its growing interview volumes translate into sustained enterprise revenues and measurable hiring outcomes, particularly as employers increasingly evaluate the cost, reliability and fairness of AI-driven recruitment.
For now, the Bengaluru startup is positioning itself around a specific promise: reducing the time required to move candidates from initial assessment to an interview-ready shortlist, while retaining human control over the final hiring decision.
UNI BDN
Tags: #Welocity says profitable# processes 2.5 million interview minutes monthly
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