Voice AI will make India the undisputed delivery hub for global customer experience for the world. Krisp offers noise cancellation, accent conversion, translation, agent assist, speech analytics all in one integrated stack, on one platform, with one admin portal. Vimal Nair, Chief Growth Officer, Krisp informs Rajneesh De, Group Editor, CXO Media & APAC Media exclusively that 200 million devices have been deployed, 80 billion minutes of conversations improved every month, and 87 Fortune 500 companies have chosen Krisp.
What are the solutions and services in Krisp’s Voice AI and other portfolio areas?
Krisp powers 80 billion minutes of conversation every month across 61,000 customers, including 87 of the Fortune 500. We do that through one unified voice engine spanning three product lines-For Meetings, For Call Centers, and For Developers.
The Call Center AI platform, which is where the BPO and BPM conversation is centered, delivers three integrated pillars:
- Speech Assist for noise cancellation, accent conversion, and real-time voice translation across 80+ languages
- Agent Assist for transcription, compliance, knowledge chat, and live guidance
- Speech Analytics for call scoring, sentiment, and compliance monitoring
Critically, all of this integrates instantly with every major CCaaS platform. We don’t ask enterprises to rip and replace. We layer on top of what they already run.
For Developers, Krisp’s Voice AI models are available via SDK to embed directly into CX platforms. Whether building CCaaS platforms or AI agents, Krisp’s models are transforming not just voice delivery but voice interactions themselves.
How does Krisp’s Voice AI platform enhance speech clarity and real-time Voice Intelligence?
Krisp installs at the OS level, creates a virtual microphone and speaker, and processes every audio stream between the physical device and the communication application, in real time, on-device. No cloud round-trips for core audio processing. That’s what gives us the latency and security profile that enterprises actually need.
On speech clarity, our noise cancellation is bidirectional, meaning we’re cleaning up both the agent’s side and the customer’s side simultaneously. Our Accent Conversion preserves the speaker’s natural voice, tone, and emotion while converting the accent in real time. No enrollment. No training. Just deploy and go. And our Voice Translation operates across 80+ languages with bilingual captions live in the agent’s interface.
On real-time intelligence, the platform detects language, accent, emotion, age, whisper, music, and laughter in the audio stream. That signal feeds directly into Knowledge Chat giving agents call-aware answers mid-conversation, Live Captions that are noise and accent-robust across 60+ languages, and After-call Summaries generated with PII/PCI already redacted before a single word hits the cloud.
The net result: agents spend less cognitive bandwidth managing communication friction and more on actually solving the customer’s problem. That’s where the AHT reduction (Average Handling Time), FCR improvement (First Contact Resolution), and CSAT (Customer Satisfaction) gains come from.
How is Krisp looking to collaborate with BPO and BPM leaders and other tech teams shaping next-gen voice delivery?
Krisp positions itself as the infrastructure layer that makes BPOs more competitive.
For instance, with leading BPO, TTEC, we have co-branded a product called TTEC Clarity, powered by Krisp. They’ve embedded our technology into their service delivery proposition and used it to move clients from US onshore delivery to India delivery with 70% cost savings and measurable CX improvement. That’s a fundamentally different relationship than a typical software procurement.
We are having the same conversations with multiple BPMs across geographiesThe pitch to BPO leadership is straightforward: Krisp is the technology that lets you defend your offshore delivery model while matching or exceeding the CX quality of onshore.
On the tech side, 70+ products have already embedded Krisp AI, OpenAI, Twilio, LiveKit, VAPI, RingCentral, Aircall, Vonage. We’re the voice infrastructure that AI-native companies build on top of because they don’t want to solve the hard audio problems themselves. Our SDK and API give developers clean access to the same models that power our enterprise deployments.
What are the key pillars of Krisp’s GTM strategy?
Krisp’s go-to-market (GTM) strategy in India centers on leveraging Voice AI to enhance BPM and BPO operations, with a strong emphasis on partnerships and local leadership. The strategy revolves around three core elements.
Leadership Expansion – Bringing aboard senior leadership talent to drive regional growth & leverage deep expertise in the Indian BPM ecosystem. This move establishes an on-the-ground presence to scale enterprise adoption and strengthen go-to-market initiatives.
Strategic Partnerships – A primary focus is deepening collaborations with BPO/BPM leaders and technology teams for next-generation voice delivery. These alliances aim to enable location-agnostic CX, faster agent proficiency, and cost reductions.
Voice AI Positioning – Krisp positions its platform as core infrastructure for improving speech clarity, agent productivity, consistency, and CX quality in India’s global customer support hub. Key benefits include higher NPS/CSAT scores, reduced language barriers, and expanded talent pools via features like accent conversion.
What are Krisp’s unique differentiators compared to other competitors in the Voice AI space?
- On-device processing is our foundation. Our core audio AI runs on the agent’s local device. No audio leaves the endpoint for noise cancellation or accent conversion. Competitors who process in the cloud have a structural disadvantage with regulated industries, banking, healthcare, insurance where data sovereignty and latency both matter. We’ve had this architecture since day one and it’s not easy to replicate.
- We are bidirectional across the entire stack. Noise cancellation, accent conversion, and translation all work on both sides of the call simultaneously. Most competitors address one side. We address both. That matters enormously for actual comprehension outcomes.
- Zero onboarding friction on Accent Conversion. No voice enrollment. No model training per user. An enterprise with 10,000 agents can deploy accent conversion in days, not months. Competitors requiring enrollment models can’t touch us on deployment speed at scale.
- We are a platform, not a point solution. Noise cancellation, accent conversion, translation, agent assist, speech analytics all in one integrated stack, on one platform, with one admin portal. Our competitors are either specialized in one area or stitching together acquisitions. We built this cohesively.
- Naturalness at scale. Only 1% of customers notice the accent has been modified. Voice, tone, and emotion are preserved. This is the result of years of model development that started in 2017. New entrants don’t have this quality baseline.
- The numbers speak for themselves. 200 million devices deployed, 80 billion minutes of conversations improved every month, and 87 Fortune 500 companies have chosen Krisp.
Which verticals are showing maximum traction for voice AI solutions and what are their use cases?
Three verticals are leading the adoption curve, and they are doing it for different reasons.
We are seeing the most traction in BPM, where contact centers sit at the center of customer interaction across industries. From there, adoption is accelerating in specific verticals where voice clarity, comprehension, and efficiency have direct business impact.
- BPO and outsourcing: This is our highest-volume vertical. BPOs need to deliver offshore quality at offshore prices to US and UK clients who expect near-native English interactions. Accent Conversion solves that equation by improving how agents are understood without changing how they speak. With TTEC, moving work from US onshore to India delivery drove 70% cost savings while actually improving experience quality. Every major BPO is now exploring this as a way to protect margins and stay competitive.
- Banking and financial services: This is the most compliance-sensitive vertical, and that’s exactly where we see strong adoption. Requirements like on-device PII and PCI redaction, SOC 2 Type 2, HIPAA, GDPR, and on-prem deployment are non-negotiable. Many solutions fall short here.
Use cases focus on improving agent clarity with noise cancellation, enabling compliance scoring across 100% of calls, and generating after-call summaries with sensitive data already removed. It allows teams to scale operations without increasing compliance risk.
- Healthcare: This is a fast-growing vertical driven by both operational pressure and patient experience. In a TTEC deployment, noise cancellation alone led to a 99.3% drop in audio complaints and a 9% increase in NPS, with a two-week ramp and no telephony integration required.
Voice Translation is important as providers need to support non-English-speaking patients without relying on human interpreters, which are expensive and not always available in real time.
- Telecom: Telecom operates at high volume, where small improvements in call quality and efficiency have outsized impact
Use cases center on noise cancellation and accent conversion to improve clarity in real-world calls, agent assist to reduce handle time and repeat calls, and speech analytics to give AI-powered visibility into call performance. The focus is on improving first-call resolution and overall operational efficiency at scale.
Across all four, the shift is the same: voice AI is becoming operational infrastructure.
In BPO, it protects margins. In BFSI, it enables compliant scale. In healthcare, it expands access. In telecom, it drives efficiency at volume.
What are the commercial models for Krisp’s Voice AI solutions?
We design our commercial relationships to match how our customers actually operate. For enterprise and BPO deployments, our agreements scale with the customer’s business. As their operation grows, the model flexes with them. For technology partners embedding Krisp via our SDK and API, we structure our approach around usage in a way that aligns our economics with theirs.
And for strategic partnerships like our co-brand with TTEC, we go deeper, structuring around shared commercial outcomes rather than a traditional software procurement. The through-line across all of these is that we’re not interested in being a line item on a software audit. We want to be embedded in how our customers deliver value to their clients.
In a multilingual country like India, how does Krisp manage a homogenous voice AI solution?
This is one of Krisp’s most impressive technical achievements. The Indian English Accent Pack covers approximately 95% of Indian English speakers across major dialects, including: Assamese, Bengali, Gujarati, Hindi, Kashmiri, Maithili, Marathi, Nepali, Oriya/Odia, Punjabi, Sanskrit, Sindhi, Urdu, Kannada, Tamil, Malayalam, and Telugu..
Rather than a single homogenized model, Krisp has built dialect-specific accent packs that recognize the phonemic characteristics of each regional language’s influence on English pronunciation. The system then converts the speaker’s accent toward a neutral, easily understood English without requiring the agent to change their natural voice.
Additionally, customer Accent Conversion now offers bidirectional adaptation to improve comprehension for the agents operating in English as a second language.
What are the operational and business models of Krisp’s bidirectional Accent Conversion?
Krisp’s Accent Conversion is bidirectional, meaning it works in both directions on the same call:
- Agent Accent Conversion (outbound from agent): Converts the agent’s accent to neutral/standard English in real time. Available accent packs cover Indian (17 dialects), Pakistani (5 dialects), Filipino (5 dialects), Latin American (5 dialects), and African English. Planned additions include UK English, Australian English, and US regional accents.
- Customer Accent Conversion (inbound from customer): A universal model that adapts any customer’s accent in real time so the agent can understand them more clearly regardless of the customer’s geographic origin.
Operationally, the system installs on the agent’s device, requires no user enrollment or model training, processes audio on-device for security, and integrates instantly with any CCaaS platform. Agents simply toggle it on via a live widget.
The business model impact is significant: it enables BPOs to move from expensive onshore delivery to cost-efficient offshore delivery without sacrificing CX quality.
What will be Krisp’s key focus areas in the next few quarters?
Krisp’s next few quarters are focused on four areas: maturing Accent Conversion with bidirectional capability and expanded geographic coverage, deepening Voice Translation language support, and launching Speech Analytics with QA and compliance monitoring capabilities.
Is India adopting voice AI differently compared to the US or Europe? What stands out?
India’s adoption is supply-side driven, the primary use case is enabling Indian BPO agents to serve US/UK customers more effectively, rather than Indian enterprises using voice AI for their own domestic customer service. What stands out for India specifically is the scale of the linguistic challenge Krisp has addressed, 17 dialect-specific models just for the Indian subcontinent, covering 95% of Indian English speakers. No other vendor addresses this depth of linguistic diversity. Krisp sees India not just as a delivery location for global BPOs, but as a genuinely complex, high-priority market requiring dedicated R&D investment.
If you had to pick one trend that will define voice AI in India over the next few years, what would it be?
India’s BPO industry has always competed on cost, but has faced persistent CX friction from accent-related perception barriers. Krisp’s data shows this barrier is both measurable and commercially significant. With Accent conversion, we are already seeing a “Voice Renaissance” in India powered by AI and this is expected to grow even further. As bidirectional Accent Conversion matures, covering not just the agent’s outbound accent but also adapting inbound customer accents for the agent, the communication symmetry between an agent in Chennai and a customer in Chicago becomes near-frictionless.
Combined with real-time Voice Translation across 80+ languages, this creates a compounding advantage: Indian contact centers can serve not just English-speaking markets but French, German, Spanish, and eventually any language market — without hiring multilingual agents. The trend, in short, is the collapse of the linguistic barrier as a cost and quality constraint in voice-based service delivery, with India positioned as the primary beneficiary and proving ground.
The trend, in one sentence: Voice AI will make India the undisputed delivery hub for global customer experience not just for English, not just for Western markets, but for the world.
