Revelir AI Launches Claude-Powered Platform to Analyze Every Customer Support Ticket
Revelir AI's Insights platform uses Claude AI to analyze 100% of customer support tickets at scale. Now deployed at Xendit and Tiket.com across Southeast Asia.
Most companies have no idea why their customer satisfaction scores move up or down. They know the number. They just don't know the reason.
That gap exists because traditional quality assurance teams can only review one to five percent of customer conversations. The other 95% sits in databases, unread and unanalyzed. For a fintech or travel platform processing tens of thousands of support tickets per month, that's a massive blind spot.
Singapore startup Revelir AI just launched a product designed to close it.
What Revelir Insights Actually Does
Revelir Insights connects directly to Anthropic's Claude AI and reads every support ticket a company receives. Not a sample. Every single one.
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Once the data is ingested, CX leaders can ask questions in plain English. "What drove the spike in negative sentiment last week?" The system answers in seconds and shows the actual tickets as evidence.
The platform enriches each ticket with structured signals: how a customer's sentiment shifted from the start to the end of a conversation, why they contacted support, what product friction they ran into, and whether they look like a churn risk. Leaders can also define custom checks in plain English, such as compliance criteria or customer effort indicators, and these become live queryable fields.
The technical connection uses something called Model Context Protocol, an open standard Anthropic describes as "a USB-C port for AI applications." It lets structured business data plug into AI models without custom engineering work. Adobe and Zoho have both adopted it in 2026.
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Already Deployed at Xendit and Tiket.com
Revelir Insights isn't a new product built from scratch. It sits on top of RevelirQA, Revelir AI's automated quality assurance engine that has been running in enterprise production for more than a year.
At Xendit, one of Southeast Asia's largest payments infrastructure providers, RevelirQA evaluates every support ticket against a compliance-led scorecard and generates a full audit trail for each score. That's a meaningful capability in a regulated fintech environment where QA records matter for oversight purposes.
At Tiket.com, Indonesia's leading online travel platform, the system handles both Bahasa Indonesia and English conversations across chat and voice channels, scoring 100% of tickets without any additional QA headcount.
"Most CX leaders can tell you their CSAT score. Very few can tell you why it moved," said Rasmus Chow, Founder of Revelir AI. "The data to answer that question exists in every support conversation, but until now nobody could query it at scale."
Chow is a Y Combinator alumnus. The company raised US$4.3 million in seed funding and was founded in 2025.
Why the Timing Makes Sense
The business case for tools like Revelir Insights is well-documented by McKinsey: AI quality assurance in customer care can yield over 50% savings in QA costs, a 25-30% increase in agent efficiency, and a 5-10% improvement in customer satisfaction scores.
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Southeast Asia's AI customer experience market exceeded US$4 billion in 2024 and is projected to grow more than four times by 2033. Competitive activity is intensifying. Adobe launched CX Analytics with natural language querying in 2026. Singapore-based Toku completed the first SGX IPO of 2026 in January as a CX platform.
Revelir AI's differentiation is its production track record with Southeast Asian enterprises in regulated industries. Compliance auditability and multilingual support aren't optional features in fintech and travel. They're requirements. And Revelir already has them running at scale.
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