AI you own so the value compounds while the cost stays flat.
A family of AI Applications to maximize return on every dollar and grow revenue from every customer.
Your categories, your seasons, your customers, sharper with every use.
Each new use case should launch faster and cost less than the last.
What it learns is yours to keep, even after the contract ends.
Every shopper finds what fits and adds what goes with it. Guided selling plus smart add-on suggestions in one conversation.
Shoppers only see real products, described the way your brand would. Trained on your catalog and your data.
You see what shoppers ask for and where they hesitate. Insights from every conversation, handed back to you.
Every shopper finds what fits and adds what goes with it. Guided selling plus smart add-on suggestions in one conversation.
Shoppers only see real products, described the way your brand would. Trained on your catalog and your data.
You see what shoppers ask for and where they hesitate. Insights from every conversation, handed back to you.
Ask a question in plain language and get a clear recommendation. No reports to build, no data team required.
Every recommendation is built on your sales, inventory, and shopper conversations. Nothing generic, nothing guessed.
See what to reprice, restock, or promote this week, and why. Predict demand shifts before they hit your margins.
Ask a question in plain language and get a clear recommendation. No reports to build, no data team required.
Every recommendation is built on your sales, inventory, and shopper conversations. Nothing generic, nothing guessed.
See what to reprice, restock, or promote this week, and why. Predict demand shifts before they hit your margins.
Turn campaign history and vendor funds into promo calendars that pay off.
Turn browsing and purchase behavior into bigger baskets and repeat customers.
Turn sales and inventory signals into prices that protect margin.
Nothing made up, ever. It runs on purpose-built models designed with retail experts and trained on your catalog, pricing, and sales. If it's not in your business, it's not in the answer.
Models built for retail
Expert-designed
Trained to flag uncertainty
Sources clearly cited
Domain-aware reasoning
Zero risk of leaks and vendor lock-in. Your prompts, your model weights, your catalog, and your customer data stay inside your company. Never shared, sold, or used to make anyone else's AI smarter.
Data ownership
Model ownership
No vendor lock-in
Air-gapped
Private cloud
On-prem
The intelligence you build compounds. Every question, every approved decision, every correction teaches it a little more about your business.
Feedback loops
Cross-app learning
Continuous fine-tuning
Shared memory
Skip the year-long AI project. The retail models are pre-trained, the connectors pre-built, the apps ready on day one. Connect your data and go.
Pre-trained models
Ready-made AI apps
Prebuilt connectors
Live in weeks
60% less cost and time across the entire campaign lifecycle
4 markets. 3 continents. 6,000 users
From weeks in the analyst queue to answers in seconds
8 data sources unified. Weeks to seconds
Spot the stock-out. Say the word. Order placed
POS, inventory and ERP connected. One of India’s fastest-growing grocers
Turning a payments platform into a commerce co-pilot for the corner store
Sari-sari stores across South East Asia. Toward 10M merchants doubling their income
The right spend in the right market
Campaign investment tuned market by market. ROAS lift across every channel
Stock-outs to near zero
Quick commerce, D2C and marketplace data plus competitor signals. Decision velocity up
CogitX AI is a sovereign AI platform company building the intelligence layer for retail. The intelligence is owned by the retailer, improves with every interaction, and is unmetered.
The platform turns a retailer's disparate data sources into one intelligence layer (Retail Brain), and the retail product suite covers the full span of commerce media, from planning and creation to measurement.
Nowhere. CogitX applications run entirely on your infrastructure, on-premise or in your private cloud. Your data is never sent to CogitX or to any third-party model provider, and it is never used to train models outside your environment. The models, the semantic layer, and every interaction stay inside the boundaries you already control.
It depends on how well defined the use case already is. If you have a common function (say, finance reporting, sales operations, or customer support), a prebuilt application gets you live fastest. If your workflow is standard but your definitions and data are particular to you, a template configured to your business is the right fit. If the use case is unique or spans several systems, we co-build it with your team. Most customers start with one prebuilt or configured application, prove the value, and expand from there.
Because every answer is grounded in your semantic layer (your definitions, metrics, and data), accuracy doesn't depend on a model "remembering" things correctly. When your business changes, you update the definitions, and every application reflects the change immediately. On top of that, the models learn from usage inside your environment: corrections and confirmed answers feed back into the system, so the application becomes more precise the longer it runs.
Less than a typical enterprise software rollout. We need three things: access to the relevant data sources, a business owner who can validate definitions (what "revenue," "active customer," or "on-time delivery" actually mean at your company), and an IT contact for deployment on your infrastructure. Prebuilt applications typically go live in weeks; configured and co-built applications follow a short discovery phase. We handle the model and semantic-layer work; your team supplies the business knowledge.
Is this suitable for regulated industries?
Yes, it's designed for them. Since applications run on your infrastructure and data never leaves your environment, you retain full control over residency, access, and retention, which simplifies compliance with requirements such as GDPR, HIPAA, SOC 2, and sector-specific regulations in financial services, healthcare, and government. Every answer is traceable back to the definitions and data it came from, giving auditors a clear line of sight into how a result was produced.
