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Decision Intelligence · Any Industry · Any Category

Raw customer voice.
Live decision intelligence.

Acquink turns millions of customer voices into a live intelligence dashboard, powered by our proprietary MASI engine. Teams get department-ready insights and a conversational agent they can query every morning.

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100M+
Customer voices in our vault
100+
Categories
4x
Engagement uplift
50+yr
Team experience
Trusted by
Flipkart Samsung Mars Petcare boAt
From raw customer voice to decision intelligence

Four steps. One live dashboard.

No integration. No internal data needed. We start with what is already out there and turn it into something your teams use every day.

🌐
Raw Customer Voice
Customer voice across reviews, YouTube, Reddit, and forums. Wherever buyers talk about your category.
100M+ signals
→
⚙️
MASI Engine
Aspect extraction, sentiment scoring, buyer segmentation. Every language. Full coverage.
Proprietary AI
→
📊
Department Dashboards
Marketing, R&D, Sales, F&B, CX. Each team sees only what is relevant and actionable for them.
Live daily
→
🤖
SmaartAnalyst Agent
Ask questions in plain language. MASI powers the answer. GenAI makes it conversational. Every response grounded in actual data.
Zero hallucination
The gap we close

20 million new customer voices go online every day.
Most brands use none of it.

The customer voice is all there. Nobody has made it usable. Until now.

What teams deal with today

Dashboards that say sentiment is down. No explanation of why.

Research that costs crores and arrives already outdated

Competitive reports too generic to act on

One report for all departments. Useful to none.

No view into what different buyer types care about differently

What Acquink delivers

Aspect scores. Battery. Comfort. Dining. Not one blended number.

Marketing sees keywords. R&D sees gaps. Sales sees battle cards.

Buyer segments from real customer voice. Families and business travelers want different things.

A GenAI agent your team can query in English, Hindi, Tamil, or Telugu.

Answers in seconds, grounded in actual data.

95%
of buyers read customer voice before any purchase
Global Newswire
270%
more conversions when customer voice is surfaced well
Spiegel Research Center
94%
of shoppers avoided a business because of negative customer voice
Review Trackers
The engine underneath

MASI is the intelligence engine. GenAI makes it talk.

Our proprietary engine. Built and deployed at one of India's largest e-commerce platforms across 100 categories. It finds what each buyer is reacting to specifically, scores it, and surfaces it. GenAI is the interface. The intelligence is MASI.


01
Aspect Extraction
Not just that they are unhappy. Specifically what — the check-in wait, or battery drain after two years.
02
Independent Scoring
Excellent on location, poor on value. Both get their own score. No averaging away the truth.
03
Buyer Segmentation
Gender, travel purpose, buyer type. The signal is different for different people.
04
SmaartAnalyst Agent
MASI structures the intelligence. GenAI makes it conversational. You ask in plain language. The answer comes from the data, not from a model's imagination.
Works across any industry

If customers are talking about your category, we can work in it.

🚗
Automobiles and Two-Wheelers
Safety, mileage, comfort. First-time versus upgrade buyer splits.
🏨
Hotels and Hospitality
Each department gets its own daily view. Not a shared score.
📱
Consumer Electronics
Performance, value, durability. Scored from actual owner voice.
🛒
FMCG and D2C
Category trends, unmet needs, competitive gaps. All from real buyer voice.
🏠
Home and Lifestyle
What buyers keep saying that brands keep missing.
👟
Fashion and Footwear
Fit, comfort, durability. Smarter product pages and fewer returns.
🏦
Financial Services
App feedback and forum signals turned into CX improvements.
🍔
Food and Dining
Menu sentiment and franchise benchmarking at scale.

Not here? If your customers are talking, we can listen.

What we build

Two products. One intelligence engine.

One engine. Two products. One for your internal teams. One for your shoppers.

Smaartbrand
For brand, product, and category teams

Customer voice broken down by aspect and segment. Each department sees what matters to them. Ask the agent. Get a real answer. No analyst required.

Deployed across
AutomobilesHotelsElectronicsFMCGD2C+ any category
Smaartpulse
For D2C brands and their shoppers

Customer voice distilled to what matters to this buyer, ranked and scored on the product page. For Puma it surfaces "heel slippage reported by 40% of female runners." Fewer returns. Better conversions.

Built for
D2C BrandsE-commerce PlatformsProduct PagesComparison Engines

Built for how modern generations decide.

Gen Z · Authenticity
The Fluid Maximiser
"Gen Z scans peer content instantly. They don't trust brands — they trust networks. They make rapid purchasing decisions and share publicly to affirm their identity."
Smaartpulse replaces branded marketing with unfiltered, verified customer voice on the product page. The authenticity they demand, delivered instantly.
Millennials · Research
The Efficient Balancer
"Millennials cross-verify using reviews and peer advice. They seek efficiency without sacrificing purpose, balancing rational and experiential signals."
We aggregate thousands of omnichannel voices into instant aspect-level scores. Hours of research, done. They stay on your site and they decide.
Gen X · Practicality
The Predictable Steward
"Gen X prefers fewer, trusted sources. Low tolerance for cognitive load. They default to routine and value transparent, straightforward information."
Our engine surfaces exact product strengths and weaknesses clearly. No guesswork. No noise. A frictionless path to a confident decision.
What sets us apart

We go further than any tool in the market.

🔬
Beyond OTA and e-commerce platforms
YouTube, Reddit, Zomato, Team-BHP. Customer voice sources most tools ignore.
🎯
Each department gets its own dashboard
Marketing sees keywords. Sales gets battle cards. F&B sees dining sentiment. One platform, every team.
⚡
Live intelligence fast
Competitors take six months and charge crores. We show you results on your actual data before you commit.
🧠
MASI does the work. GenAI does the talking.
Our proprietary engine structures the intelligence. GenAI is the interface that makes it accessible. Answers come from MASI, not from a language model's imagination.
🏆
Battle cards, not benchmark scores
Win/lose talking points from real buyer language. What your competitors' customers wish was different.
🌐
Hindi, Tamil, Telugu processed natively
We process in the language it was written. Not translated first, then analyzed.
🏗️
Breaking down data silos
Enterprise customer voice is often trapped in department-specific tools. We create one source of truth so Marketing, Product, and CX all operate from the same live intelligence.
Track record

We were doing this before most people had heard of GenAI.

Top E-commerce Company in India · Smaartpulse

"3 to 4x increase in engagement. Up to a 30% improvement in conversions. Product returns decreased by 20 to 30%."

Director of Product Management
Top E-commerce Company in India
Mars Petcare · Smaartbrand

"The platform highlights strengths and areas for improvement in our products. Integrating various platforms into one portal has greatly enhanced our CRM team's ability to respond."

Madhur Khanna
Marketing Director, Mars Petcare
4x
Customer engagement uplift
Measured at India's top e-commerce platform
30%
Better conversion rate
Aspect-level intelligence at point of decision
30%
Fewer product returns
Buyers who know the real strengths decide better upfront
Recognition

Independently recognised, more than once.

🏅
Top 15 Promising Startups in India
Winner in the NLP category at the RAISE 2020 Summit, recognised by the Government of India.
🏆
Best Tech for eCommerce
Awarded at the 11th India Digital Awards by IAMAI.
🚀
Microsoft for Startups
Selected for Microsoft's global B2B startup program.
The team

We have sat inside the problem we are solving.

Decades at the companies we now build for. We know what is missing because we lived it.

Giri Devanathan
Founder and CEO
28 years across Flipkart, PayPal, Nokia, Yahoo, and eBay. He has built products from scratch and managed large teams across India and the US.
Mohan Krishnan
Advisor. Consumer Research.
25 years in consumer behaviour and data science at Kantar and WPP. Visiting faculty at IIT Bombay, IIFT Delhi, and IIM Lucknow.
Explore the platform

See what your category looks like inside Acquink.

Pick a category to see real metrics, aspects scored, and the questions your team could be asking today.

Hotels Intelligence
30+ cities · 3M+ customer voices · Google, TripAdvisor, MakeMyTrip, Booking.com
Reach out for a demo →
79%
Overall satisfaction
Aloft New Delhi Aerocity
88%
Top aspect: Location
Strongest satisfaction driver
36%
Weakest: Value for Money
Primary growth barrier
Location
Cleanliness
Staff
Dining
Room Comfort
Amenities
Value for Money
Check-in
Ask SmaartAnalyst
"If I open a hotel in Aerocity, what should I focus on?"
"Compare Taj vs ITC in Bengaluru"
"What are business travelers complaining about at Leela?"
Cars Intelligence
200K+ quality-filtered owner voices · Noise, bots, and duplicates removed
Reach out for a demo →
60pt
Safety sentiment gap
Across top 5 brands
4
Buyer segments
First-timer, upgrade, family, enthusiast
M / F
Gender split
Separate preference signals
Safety
Mileage
Comfort
Build Quality
After-sales Service
Value for Money
Features
Performance
Ask SmaartAnalyst
"What do Creta owners say about safety vs Seltos owners?"
"Which brand has the worst after-sales sentiment?"
"What features are female first-time buyers most concerned about?"
Bikes Intelligence
200K+ quality-filtered owner voices · Noise, bots, and duplicates removed
Reach out for a demo →
5
Leading brands covered
Hero, Bajaj, TVS, Honda, Royal Enfield
3
Segments tracked
Commuter, sports, premium
Owner
Voice source
Verified real-world rider reviews
Mileage
Comfort
Build Quality
After-sales
Braking
Suspension
Value
Reliability
Ask SmaartAnalyst
"Which brand has the best mileage sentiment among commuter riders?"
"What are RE Himalayan owners saying about long-trip comfort?"
"Where is Hero losing ground to TVS in the commuter segment?"
Consumer Electronics Intelligence
Smartphones, appliances, audio · Flipkart, Amazon, brand sites
Reach out for a demo →
6
Aspects scored
Camera, battery, display, value, performance, build
4
Buyer segments
First-timer, upgrade, power user, gifter
3
Platforms
Compared side by side
Camera
Battery
Display
Performance
Build Quality
Value for Money
After-sales
Software
Ask SmaartAnalyst
"Which brand wins on camera among upgrade buyers?"
"What do Samsung owners say about after-sales vs OnePlus?"
"What are the top 3 unmet needs in the mid-range segment?"
FMCG Intelligence
Consumer goods, personal care, pet care · Deployed with Mars Petcare
Reach out for a demo →
Mars
Live deployment
Pet care category
NPD
New product signals
Unmet needs from real buyers
CRM
Team impact
Faster response capability across brands
Product Quality
Value for Money
Packaging
Availability
Brand Trust
Ingredients
After-sales
Competitor Gap
Ask SmaartAnalyst
"What are buyers in this category saying they cannot find anywhere?"
"Which competitor is gaining ground and why?"
"What is driving negative sentiment in our top SKU?"
Fashion and Footwear Intelligence
Fit, comfort, durability from verified buyer voice
Fit
Comfort
Durability
Value
Sizing Accuracy
Material Quality
Delivery
Returns Experience
Ask SmaartAnalyst
"What percentage of female runners report heel slippage in this SKU?"
"Which size range generates the most return complaints?"
Home and Lifestyle Intelligence
Appliances, personal care, furniture
Build Quality
Performance
Energy Efficiency
Design
After-sales
Value
Installation
Noise
Ask SmaartAnalyst
"What are AC buyers in Tier 2 cities most concerned about?"
"Which brand has the best after-sales sentiment in fans?"
Financial Services Intelligence
App feedback, forum discussions, complaint signals
App Experience
Customer Support
Loan Process
Interest Rates
Transparency
Speed
Trust
Digital UX
Ask SmaartAnalyst
"What is the top complaint driving app uninstalls?"
"Where are competitor NBFC apps winning on UX?"
Food and Dining Intelligence
Zomato, Swiggy, Google Business. Menu sentiment and franchise benchmarking.
Food Quality
Taste
Delivery Time
Packaging
Value
Staff
Ambiance
Portion Size
Ask SmaartAnalyst
"Which menu items are driving the most negative sentiment?"
"How does our delivery experience compare to competitors?"
Your Category
If your customers leave reviews online, we can build this for you.
Every category where buyers talk online is a category we can work in. Tell us your industry and we will show you what the intelligence looks like on your actual customer voice data.
Common Questions

Everything you need to know.

A dashboard shows you numbers. Decision intelligence tells you what to do about them. Acquink does not just surface a satisfaction score. It tells your Marketing team which keywords to promote, your operations team which complaints need immediate attention, and your Sales team which competitor weaknesses to exploit. Every insight is mapped to a specific department and ready to act on the same morning it arrives.
MASI processes reviews natively in the language they were written, not by translating first and then analysing. Sentiment accuracy is preserved across English, Hindi, Tamil, Telugu, Kannada and any other language in the source data. The SmaartAnalyst chat agent also accepts questions and returns answers in the language the user chooses. There is no language ceiling. If your customers write in it, we read it.
Built in India, but the platform works in any market. Our Hotels intelligence already covers properties in New York and Paris alongside Indian cities. Our Auto intelligence roadmap includes UK, US and EU markets. MASI was originally built for Flipkart and has processed over 100 million voices across categories. Any market where customers leave reviews is a market we can serve.
Yes, and this is one of our strongest enterprise capabilities. Acquink supports a secure private deployment where the MASI engine runs inside your own infrastructure firewall. Your internal data including service records, dealer reviews, NPS scores and PMS data sits in a private data instance that never leaves your environment. Only processed sentiment scores are passed to the intelligence layer, never raw data. You get the combined picture of public customer voice and your own internal truth in a single agent, with full enterprise data security compliance.
MASI stands for Multi Aspect Sentiment Intelligence. It is the proprietary engine Acquink built and validated at Flipkart across 25 million reviews. Instead of labelling a review as simply positive or negative, MASI extracts sentiment at the aspect level within the same review. Battery life, build quality, value for money, staff behaviour are each scored separately. This is what makes the output actionable. Your R&D team sees exactly which features customers dislike, not just that customers are unhappy.
Those platforms are primarily built around surveys and internal feedback. They require you to ask customers questions. Acquink listens to what customers are already saying publicly, without any survey friction. We also go beyond standard reviews into Reddit, YouTube, forums and social platforms that those tools ignore entirely. Every output is mapped to a specific department action, not a generic score that a central analytics team then has to interpret.
For the public data proof of concept, we can have a live working dashboard for your brand or category within days, not months. Traditional research firms charge crores and take six months. We delivered two complete industry proof of concepts with live URLs in one week. For the full enterprise deployment with private data integration, timelines depend on your data infrastructure, but the architecture is designed for fast onboarding. Tell us your category in the form below, and we can show you a live POC on your actual market data next week.
For hotels we cover Google Business, TripAdvisor, MakeMyTrip, Booking.com, Zomato, Swiggy, YouTube and Reddit. For auto we cover Reddit owner communities, enthusiast forums and auto portals. For FMCG and electronics we cover ecommerce platforms, app store reviews, expert blogs and discussion forums. The key point is that we listen to sources your competitors are not monitoring at all. Forums and video comments are where the most honest customer voice lives, and most tools stop at the standard marketplace review.