About VritantAI
We are building the AI commerce platform whose product is provable honesty.
VritantAI is an early-stage company in Bengaluru, founded in 2024. We are onboarding our first cohort of D2C brands now. We would rather tell you that plainly than dress it up with borrowed logos and invented numbers.
Why we built this
We kept watching AI shopping assistants do the one thing a store can never forgive: confidently invent a product, a price, a discount, or a refund that did not exist. A hallucinated spec becomes a support ticket. A made-up discount becomes an argument at checkout. For a small brand, one bad answer at 2 a.m. is a lost customer and a chargeback.
So we built the agent the other way around. The language model reads what a shopper wants; deterministic code decides what anything costs and whether it is in stock. Every product the shopper sees is pulled from your live catalog, never parsed out of the model's free text, so a fabricated product ID has no path onto the screen. And every price and product claim the agent makes is written to a tamper-evident log you can export if a customer ever disputes what it said.
The honesty thesis
Most of our category proves itself with attestation: customer counts, logo walls, unattributed “5X revenue” claims. We are pre-revenue, so we could not run that playbook even if we wanted to, and we would not. Instead we prove the product two ways a stranger can check in thirty seconds, without trusting us at all:
Demonstration
Our actual agent runs on this site, loaded with a demo catalog. Ask it for something we do not stock. It tells you what it does not know rather than invent an answer.
Verification
Every claim it makes is recorded and exportable. When we publish our first customer results, every number will come from that log, not from a marketer.
A logo says someone signed a contract. A live agent refusing to make something up says the thing actually works. We would rather show you the second one.
What we build
VritantAI Convertis a catalog-grounded AI sales agent for Indian D2C brands, live on WhatsApp and your storefront widget. It knows your inventory, speaks your customers' languages, and closes sales around the clock without inventing anything.
VritantAI Discover audits product pages for structured-data quality, benchmarks how often Perplexity, ChatGPT, Gemini, and Claude cite you, and monitors for AI-hallucinated product claims before they reach a buyer.
How we work
- Zero markup on Meta fees.Meta's published rate and our margin appear as separate lines on your bill.
- Honest timelines. Storefront live in about ten minutes; WhatsApp in one to two days, because Meta verifies your number, not us. We say so before you pay.
- Your data is yours. We never train models on it. The details are on our Trust Center.
The team
Built in Bengaluru
We are introducing the team publicly as we onboard our founding cohort. Real names and faces will appear here shortly.
The VritantAI founding team
Bengaluru, India
A small team of engineers who spent too long watching AI chatbots confidently invent products, prices, and refunds that did not exist. We built VritantAI so a shopper never gets told something the catalog cannot back up, and so every claim the agent makes can be exported and checked later. Real names and faces go here as we introduce the team publicly.
Come break our agent
The fastest way to understand what we build is to try to make it lie. Or just say hello. We read every message ourselves.