Solutions/AI-Powered Customer Intelligence Platform

4-8 weekspilot to production·

95%+milestone adherence·

99.3%SLA stability

AI-Powered Customer Intelligence Platform

Turn customer conversations into business intelligence

Customer conversation analysis

Theme & trend detection

Knowledge gap identification

AI-assisted knowledge creation

Executive intelligence dashboard

Multi-channel intelligence

Start a project See our work

Trusted by 100+ innovative teams

Adobe

BCCI

Brigade Group

Cleartrip

Design Cafe

DRDO

Kotak Mahindra Bank

Mahindra

Metro Cash & Carry

NewsLaundry

Rapido

Reliance Jio

Urban Company

Abhibus

Engagedly

Adobe

BCCI

Brigade Group

Cleartrip

Design Cafe

DRDO

Kotak Mahindra Bank

Mahindra

Metro Cash & Carry

NewsLaundry

Rapido

Reliance Jio

Urban Company

Abhibus

Engagedly

What we build

Your customers tell you what they need every day — across support tickets, emails, WhatsApp chats, reviews, and social channels.

Our AI-powered Customer Intelligence Platform reads every conversation, spots the patterns, and turns them into clear, actionable insight: what customers are asking, what is frustrating them, and where your next product or content opportunity is. One place to understand your customers and act faster.

Built for teams like yours

SaaS companies
E-commerce & D2C brands
Fintech & financial services
Customer support teams
Product teams

How we deliver

From discovery to production in weeks

Discovery

Map your workflows, identify high-impact opportunities, and quantify ROI potential.

Pilot Build

Build a focused MVP for your highest-impact use case in 4-6 weeks.

Production Scale

Harden, monitor, and expand — leveraging existing infrastructure for each new capability.

4-8 weeks

pilot to production

95%+

milestone adherence

99.3%

SLA stability

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AI-Powered Customer Intelligence Platform Implementation

Plan and launch ai-powered customer intelligence platform without delivery surprises

Use the same rollout pattern we apply in production programs: architecture review, risk controls, and measurable milestones from pilot to scale.

Architecture and risk review in week 1

Approval gates for high-impact workflows

Audit-ready logs and rollback paths

4-8 weeks

pilot to production timeline

95%+

delivery milestone adherence

99.3%

observed SLA stability in ops programs

Book Architecture Call Get Estimate

Deep dives

Implementation Guides

Technical articles on building production ai-powered customer intelligence platform systems.

Customer Intelligence Basics

What is a Customer Intelligence Platform?

A customer intelligence platform turns support tickets, chat, reviews, and social into clear insights your teams can act on. Here is what it does, how it differs from a help desk, and who uses it.

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What is Voice of the Customer (VoC), and How Does AI Change It?

Voice of the Customer means listening to customers and acting on it. See how AI moves VoC from surveys and NPS to reading every real conversation, with a clear example.

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Customer Feedback Analytics Explained: From Surveys to Real Conversations

Customer feedback analytics turns ratings, reviews, tickets, and chats into clear themes you can act on. Learn how it works, the AI behind it, and how to turn it into action.

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How AI Analyses Customer Conversations Across Channels

AI reads customer messages from support, chat, reviews, and social, then groups and summarises them into one live view. Here is how it works, step by step, in plain English.

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How We Build It

How We Architect a Customer Intelligence Platform

A plain-English look at how we build a customer intelligence platform: ingestion, embeddings, pgvector, clustering, model routing, batch versus real-time, where it runs, and real cost ranges.

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How We Keep the Insights Accurate

AI can be confidently wrong, so we measure accuracy rather than assume it. Test sets, human sampling, drift checks, and grounded summaries, explained in plain English.

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Handling Messy, Multilingual Customer Conversations

Real customer messages are short, full of typos and emojis, and mix English with Hindi or Tamil. Here is how we handle the mess, the languages, and the same person across channels.

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Where Your Customer Data Lives: Privacy, Security, and DPDP Compliance

Customer conversations are sensitive data. Here is how we keep them private and secure, where the data sits, how personal details are masked, and how this fits the DPDP Act.

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Putting It to Work

How to Reduce Support Costs with Conversation Analytics

Conversation analytics finds the repeat questions and root causes behind your support volume, so you can deflect tickets, fix causes, and cut cost per ticket. Here is how.

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Turning Customer Feedback into Product Roadmap Decisions

Stop building from the loudest voice. See how to group, rank, and weight customer requests into clear roadmap decisions, using AI to find the real problem behind each ask.

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Spot Churn and Rising Issues Early with Customer Sentiment

Customers rarely leave in silence. See how tracking sentiment by account turns scattered warning signs into an early list of at-risk customers you can still save.

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Choosing & Rolling Out

Build Versus Buy: Should You Build Your Own Customer Intelligence Platform?

Buy when your needs are standard, build when your channels, languages, privacy, or integrations are not. A plain framework for deciding, plus the hidden costs of each path.

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How Much Does a Customer Intelligence Platform Cost?

A plain breakdown of what a customer intelligence platform costs: build versus subscription, what drives the price, real running cost ranges, and why message volume is not the main driver.

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FAQ

Questions & Answers

Can't find what you're looking for? Get in touch.

It brings together customer conversations from your support system, email, messaging apps like WhatsApp, product reviews, social media, and community channels — so you get one complete view instead of checking each tool separately.

No. It works alongside your team. The platform handles the analysis — spotting trends, questions, and gaps — so your people can focus on helping customers and acting on what they learn.

Yes. It automatically detects recurring themes, rising issues, and frequently asked questions, so nothing important gets lost in the day-to-day volume.

Yes. It finds the questions your customers ask that your documentation does not answer yet, and recommends new help articles based on real conversations.

Yes. We adapt the platform to your industry, your channels, and the outcomes you care about — whether that is reducing support load, improving customer experience, or informing your product roadmap.