Karta
Karta provides an AI-powered customer support platform for large enterprises, functioning as a digital employee that handles interactions across voice, chat, WhatsApp, and web. Its predictive context engine converts historical call and chat data into a resolution matrix, enabling 78% of support queries to be resolved without human intervention. The platform is built for regulated industries, with policy guardrails, auditability, and human oversight built into every interaction.
- AI Agents
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Raised to date
$3MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 1 round
CCCHPWV$3M · Seed
Announced Oct 2026 · from article date
Disclosed cumulative: $3M
Founders
Founder details are not available yet.
Product
Problem
Customer support operations in large enterprises are often bogged down by scripted responses, ticket queues, and fragmented conversation histories, leading to slow resolutions and inconsistent experiences. As businesses scale, the volume of customer interactions across multiple channels multiplies, straining support teams and making it difficult to maintain speed and quality without burning out staff.
Solution
Karta AI provides an AI-powered customer support platform that functions as an enterprise-grade digital employee, handling customer interactions across voice, chat, WhatsApp, and web. The platform's predictive context engine analyzes the history of calls, chats, outcomes, and analytics to build a resolution matrix, ensuring each customer interaction is guided by proven solutions. Karta's AI agents understand business logic, such as refund policies, and can operate 24/7 in multiple languages. The system is designed to learn from every conversation, continuously improving its performance and resolution accuracy over time. The platform is built specifically for regulated industries, with policy guardrails, auditability, human oversight, and security controls embedded in every interaction.
Target Audience
Primary customers are BFSI (Banking, Financial Services, and Insurance) institutions in India, including companies like Pine Labs, PhonePe, and Vyapar, that need scalable, intelligent customer support across multiple channels.
Features
- Predictive context engine that converts historical call and chat data into a resolution matrix for each customer interaction
- Multilingual AI agents that operate 24/7 across voice, chat, WhatsApp, and web channels
- Natural language processing to interpret customer intent, including multi-part questions and casual language
- Integration with knowledge bases, help articles, and account information to ground responses in real data
- Intelligent routing that escalates complex or emotionally sensitive issues to human agents with full conversation context
- Continuous learning loop that analyzes post-resolution conversations to identify patterns and improve future responses
- Policy guardrails that enforce what the agent may say, do, and when it must hand over to a human
- Full auditability with every decision, action, and hand-off recorded for step-by-step tracing
- Role-based permissions and data protection for security in regulated environments