We build AI systems that understand customer pain points at scale and surface them in real time — across calls, emails, chats, reviews, and CRM data.
Purpose-built for the CX data challenges that cost enterprises customers, revenue, and brand equity.
Analyze every customer conversation — calls, emails, chats, and reviews — to understand what customers are actually saying and feeling at scale.
Build a complete, real-time picture of each customer from voice, digital, CRM, and ticketing data — so your team always has full context.
Automatically prioritize and route customer issues to the right team at the right time — before customers need to ask twice or escalate themselves.
Get alerted the moment experience risks emerge — product issues, service failures, sentiment shifts, or emerging complaint patterns — before they spread.
Most CX teams are drowning in data from siloed channels. Our AI connects the signals.
Customer data lives in silos — call recordings in one system, support tickets in another, CRM in a third, reviews on the web. No one has a complete view. Managers sample 2% of calls and miss the 98% where problems are hiding. By the time an issue is visible, customers are already churning or posting on social media.
The biggest CX challenges — understanding why customers leave, identifying product failures early, knowing which agents need coaching — all require analyzing 100% of interactions, not a weekly sample.
The gap between what CX leaders think is happening and what customers are actually experiencing is almost always larger than expected. AI closes that gap by making 100% of the signal visible — not just the loudest 2%.
We start with two completely free steps. Every engagement is under NDA and can be deployed fully on-premise before you commit a rupee.
A focused session with your CX, operations, or product team to identify the highest-value AI use cases in your current customer experience workflows. No sales pitch — just clarity.
100% FreeWe deliver a prioritized roadmap with ROI estimates specific to your contact volumes, channel mix, and business priorities. Yours to keep with no obligation.
100% FreeWe build a working pilot on your actual customer interaction data, deployed inside your infrastructure. You see results before you sign anything beyond the pilot scope.
Your DecisionBook your free workshop. Bring your CX head, your operations lead, or your product director — we'll map exactly where AI creates the highest impact for your organization.
Customer interaction data is sensitive — it contains personal information, financial details, and private conversations. Every system we deploy is designed to keep this data secure and compliant with Indian and global privacy frameworks.
Your customer interaction data — call recordings, chat logs, email archives — never leaves your infrastructure. Full deployment inside your data center or private cloud. We bring the AI to your data, not the other way around.
Automatic detection and masking of personally identifiable information in call transcripts and chat logs before analysis. Customer names, account numbers, and contact details are protected throughout the analytics pipeline.
Granular permissions ensure team members only access data relevant to their role. Agents see their own interactions. Team leads see their team. Executives see aggregates. Full audit logs on every data access.
Configurable retention policies aligned with your compliance requirements. Automatic deletion of interaction data after defined periods. Customer data rights requests handled through the system, not manual processes.
Data processing and storage of Indian citizens on India servers. Full compliance with India's Digital Personal Data Protection Act — critical for any customer-facing organization processing Indian consumer data.
Privacy and data protection by design for organizations with European customers, international operations, or cross-border customer data flows. Consent management and data subject rights built into the system architecture.
Most CX platforms show you aggregated metrics. We show you what's actually driving them — built on your data, deployed on your infrastructure, and connected across all your channels.
Start with zero risk. Get a CX AI roadmap specific to your channels and contact volumes before committing a rupee.
Everything you need to know before deploying AI on your customer experience data.
We work with call recordings (any format), chat transcripts, email threads, support tickets, CRM notes, app reviews, social media mentions, and survey responses. We build connectors to your existing systems — Salesforce, Freshdesk, Zendesk, Genesys, Avaya, and most major contact center and helpdesk platforms. If you have the data, we can connect to it.
We use domain-adapted speech-to-text models tuned for your industry's vocabulary and your customers' accents. For Indian English and regional language mixing, we apply additional preprocessing. Transcription accuracy typically reaches 88-94% for clear recordings, and we benchmark this on a sample of your actual recordings before deployment. For noisy or low-quality recordings, we're transparent about accuracy limits.
All processing happens inside your infrastructure — customer data never leaves your environment. We implement automatic PII detection and masking for names, account numbers, phone numbers, and other identifiers before analytics processing. Role-based access ensures team members only see data appropriate to their role. We design for DPDP India 2025 and GDPR compliance from the architecture level.
Yes. We support Hindi, Tamil, Telugu, Kannada, Malayalam, Bengali, Marathi, and Hinglish (code-switched Hindi-English). For organizations with regional contact centers, we can build language-specific pipelines or unified multilingual analysis depending on your reporting requirements. Indian language support is something we take seriously — it's not an afterthought.
Most pilots are producing insights within 3–6 weeks of data access. The longest part is typically data pipeline setup and connecting to your source systems — the analysis itself runs fast. By week 4, you'll typically have your first conversation analytics report and a working real-time alert feed. Full production deployment takes 6–12 weeks depending on the complexity of your channel mix.
We've worked across BFSI (banking, insurance, NBFCs), retail and e-commerce, telecom, hospitality, and healthcare. The highest-ROI use cases tend to be where contact volume is high, manual quality monitoring is a bottleneck, and customer churn has a measurable financial impact. If your contact center handles more than 500 interactions per day, there's likely a strong business case for CX AI.
Co-Founder
Ex-McKinsey
IIM-Ahmedabad
IIT-Delhi, Computer Science
Co-Founder
Ex-McKinsey
IIM-Ahmedabad
Book a 30-minute discovery call with our team. We'll identify your highest-ROI use case — whether it's conversation analytics, unified customer view, AI routing, or real-time alerts — and map out a secure implementation path.
Discover 3 high-ROI CX AI use cases for your organization — conversation analytics, customer view, or real-time alerts. No cost. No commitment. Just clarity.
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