Every day millions of new reviews, posts and videos go online about your products. Acquink turns that raw voice into decisions, aspect by aspect, on the products and prices that matter. Any format, any category, any language.
Turn customer voice into decisions, at scale.
Every lexicon MASI has built, and the review corpus behind it, in one place. Train a new category from raw reviews, or deepen one that already exists.
Acquink runs on MASI, our multi aspect sentiment engine. Around it sit two products, one that decodes the voice for your teams, and one that delivers it to the shopper.
The decision platform for brand, category and R&D teams. It tells you which aspect is winning or losing on every product, how you stand against competitors, and what to fix next, with a full deck on request.
The shopper facing layer. An assistant on the product page and an in store kiosk that turns the same intelligence into a confident purchase, right at the point of sale.
The same customer voice intelligence, tuned to the one decision your category turns on, and to the teams that act on it. Pick yours.
Acquink reads every guest review aspect by aspect, cleanliness, staff, breakfast, location, value, and shows exactly which ones move a guest from booking direct to drifting to an OTA. Smaartpulse then puts the honest guest verdict on your own booking page, so guests book with confidence, direct.
See which guest gripes push bookings to OTAs, and fix them to win direct.
The complaints that quietly cost repeat stays, ranked by how often they recur.
The exact words happy guests use, ready for your booking page and ads.
MASI reads ownership reviews across every model, mileage, comfort, service, build, resale, and shows aspect by aspect where you win the shortlist and where you lose it. Smaartpulse guides a buyer on your site to the right model for them, in their own words.
Which attributes lose you the shortlist, aspect by aspect against rivals.
The ownership language buyers trust, by model and persona.
What makes a buyer pick the rival on the floor, before they walk.
The engine decodes what riders praise and what makes them leave, pickup, mileage, build, ride comfort, service, across every bike in the segment. You see the switching triggers before they cost you a sale, and the shopper gets a straight answer on the model that fits.
The switching triggers, pickup, mileage, build, before they cost a sale.
How riders talk about your bike versus the one they nearly bought.
The after sales gripes that decide whether they buy your next model.
Acquink decodes taste, packaging, value and efficacy from reviews and quick commerce, and hands it to brand and R and D as a clear read, not a star average. It flags an aspect problem before a sub four star rating buries the SKU in search.
What shoppers actually say about taste, pack and value, not a star average.
The formulation and packaging fixes hiding in the reviews.
The aspect issue about to sink a SKU before the rating drops.
Across your catalogue, MASI surfaces the aspect issues dragging a product toward a rating cliff, quality, sizing, delivery, value, before the score drops and the listing sinks. In store, the Smaartpulse kiosk guides a shopper to the right product on your own shelf.
Which SKUs are heading for a rating cliff, and exactly why.
The complaint driving returns and lost search visibility, by product.
Delivery, sizing and quality patterns across the whole catalogue.
MASI reads reviews down to the exact aspect, battery, sound, camera, mic, so you know not that sentiment fell but why a specific model comes back. Smaartpulse answers the shopper's real doubt on the product page, turning hesitation into a confident buy.
The exact aspect driving returns on each model, in buyers' words.
The doubt to answer on the product page to turn hesitation into a buy.
The recurring failure behind support tickets and one star reviews.
For a considered purchase, MASI surfaces what buyers really weigh, reliability, after sales, running cost, noise, and where you stand on each against rivals. Smaartpulse puts that honest picture on the product page, so a nervous buyer commits.
Reliability and noise concerns that shape the purchase, versus rivals.
The service gripes that decide the next appliance they buy.
What a nervous big ticket buyer needs to see to commit.
The engine reads diner reviews aspect by aspect, food, service, ambience, wait, value, and separates the one off gripe from the pattern that costs you regulars. The honest verdict then supports direct ordering and booking, not just a star on an aggregator.
The pattern behind lost regulars, food, service, wait, not the one off.
The dishes and moments diners rave about, to lead your promotion.
What to fix or drop, judged by how often it shows up in reviews.
MASI, our Multi Aspect Sentiment Intelligence engine, reads raw customer voice from reviews, social and video and turns it into a clear read of what your customers value, what they complain about, and who is saying it, aspect by aspect, in any language. Ten years of proprietary intelligence, in language anyone on your team can use.
These outcomes are proven at scale, with global brands including Flipkart, Samsung, boAt and Mars Petcare. Acquink is the rebrand of Enixta, the same team and the same engine, carried forward.
Decades inside the companies we now build for. We know what is missing because we needed it ourselves.
29 years across PayPal, Nokia, Yahoo and eBay, building products from scratch and leading large teams across India and the US. Giri built the MASI engine and has commercialised it across two chapters, at global brands.
Connect on LinkedIn30 years in consumer behaviour and data science at Kantar and WPP, and visiting faculty at IIT Bombay, IIFT Delhi and IIM Lucknow. Mohan brings deep consumer insight and brand side rigour to the work.
Connect on LinkedInTake the readiness audit. Six questions, a score out of 100, and what the gap is costing you, in your own figures. Nothing is estimated on your behalf.
Acquink is a customer voice intelligence company. It turns raw customer voice from reviews, social and video into structured, aspect level intelligence that brands act on and shoppers use to decide. Acquink is the rebrand of Enixta, founded by Giri Devanathan.
Aspect based sentiment analysis scores how customers feel about each specific attribute of a product, such as battery, taste, comfort or service, rather than giving one overall sentiment score. Acquink's MASI engine performs aspect based sentiment analysis across reviews, social and video.
Customer voice analytics is the practice of turning unstructured customer feedback into structured, decision ready intelligence. Acquink does this at aspect level, tied to the actual products and prices, so brands learn not just that sentiment moved but why, and what to fix or build next.
Social listening tools measure buzz and overall sentiment across social media. Acquink reads structured aspects tied to real products and prices, and carries that intelligence to the shopper on the product page and in store, which listening tools do not do.
A general AI model can summarise a handful of reviews, but it cannot read a brand's full review corpus at aspect level, tie it to real SKUs and prices, or act at the point of purchase. Acquink is grounded strictly in your data and never free generates a number it cannot show.
MASI, which stands for Multi Aspect Sentiment Intelligence, is Acquink's proprietary engine. Built since 2014, before transformer models existed, it reads customer voice and turns it into aspects, phrases, personas and demographics with confidence tiering, in seven Indian languages.
Acquink serves consumer categories including hotels, automotive, bikes, FMCG, retail, electronics, large appliances and restaurants. The engine is category agnostic, so a new category can be onboarded without a rebuild.
Acquink is built to read customer voice in any language. It processes seven Indian languages natively today, its interfaces run in eight languages including English, and new languages, including Arabic for the Gulf, extend the same engine.
Both. MASI, our multi aspect sentiment engine, is proprietary and is our moat, built over a decade. On top of it we use a leading cloud AI platform for the language and agent layer, grounded strictly in MASI data so answers stay accurate and never free generated.
Acquink identifies the specific aspect driving returns for a given product, such as mic quality on an earbud or sizing on apparel, so brands fix the real cause. On the product page, Smaartpulse answers the shopper's actual doubt before purchase, which lowers returns.
Smaartbrand is Acquink's decision platform for brand, category and R&D teams, a conversational agent and deck generator. Smaartpulse is the shopper facing layer, an assistant on the product page and an in store kiosk that turns review intelligence into a confident purchase.
Start with the free readiness audit on this site, six questions and a score of how well your team reads customer voice today. Or write to giri@acquink.com to see Acquink run on your own category.