Growth runs on numbers.We make yours right.
Every growth call, from the next ₹10L of ad spend to the next PO, made on one number the whole business trusts. Built under your Shopify, Amazon, Meta and 3PL, with an AI analyst on every desk.
This SKU looks like a hero on revenue, but .
DOCap COD on SKU-200 in tier-3 pincodes; push the 100 ml pack there instead.
View the SQL that ran
Contribution = net revenue minus COGS, fees, shipping and RTO cost, per SKU.
SELECT sku,
SUM(net_rev - cogs - fees - ship_cost - rto_cost) AS contribution
FROM sku_pnl
WHERE sku = 'SKU-200'
GROUP BY 1;
Already at work across industries.
Consumer brands, manufacturing, enterprise. One platform, shaped to each business, not a template you have to fit into.
D2C · Personal care
D2C · Apparel
Fitness · Studios
Kokuyo Camlin · Stationery
Shark Tank India
D2C · Wellness
D2C · Hair styling
Manufacturing · Metals
Enterprise · Spirits
Lose 5 orders today and the dashboard calls it 0.1%. To those 5 customers, it was 100%.
Averages are where growth quietly dies. Your reports round the misses away; we build the foundation that catches every single one.
We are not another tool.
We are the end-to-end fix for the number nobody agrees on.the analyst bottleneck.the leak nobody sees.finding out too late.
Four walls every scaling brand hits. Your data is scattered across Shopify, Amazon, Meta and your 3PL, apps you do not own, and every one reports its own number. We take the whole chain end to end: unify the data, govern every metric, and put an AI analyst on every desk. You will recognise all four.
3 dashboards, 3 different numbers
Shopify, Amazon and Meta each report a different figure for the same metric, and you own none of them. Bigger teams get the same split across sales, finance and the dashboard. The meeting ends in a debate, not a decision.
Your reporting has a bus factor of one
Every question routes through the one analyst who knows where the data is buried. They take leave, and the report never comes. The call either waits, or gets made on gut feel.
The real leak hides below the surface
The topline looks fine, and the detail is scattered across 6 vendor exports, so nobody slices deep enough. The leak, or the upside, is always one cut deeper.
It breaks Friday, you find out Tuesday
The number lives in a vendor dashboard nobody opens between reviews. You are always a week behind the problem.
Clean data does not just run the business. It raises the round.
Investors diligence the numbers long before they diligence the deck. A brand that can trace every metric back to the query that produced it answers diligence in days, and defends its valuation with evidence instead of narrative.
Raw, scattered systems in. One governed brain out.
This is how the road gets laid. Anyone can demo a chatbot on clean slides; almost no one can make it trustworthy on your live data. Here is why ours holds up.
Consolidate & clean
Every source, via API, DB or file, into one warehouse: de-duplicated, reconciled, standardized. No rip-and-replace of what you already run.
Semantic layer
One governed definition of every metric. The single source of truth, and the hard part everyone skips. This is our specialty.
AI agent + dashboards
A conversational agent and function-wise dashboards on top, trusted from the boardroom to the last mile, every answer traceable.
Understand
Parse intent, entities and time frame.
Plan
Decide the metrics, dimensions and filters.
Resolve
Map to the governed semantic layer.
Run SQL
Compose validated SQL, execute on live data.
Verify
Sanity-check totals, grain and nulls.
Explain
Answer, root cause, next action, traceable.
Your data stays on your infrastructure.
We build the entire system, the data layer, the semantic layer, the dashboards and the agent, inside your own server or cloud project. dataeze stores none of your data. Role-based access at the semantic layer, every query logged and traceable.
- Built & hosted in your environment
- Row & column security, full audit trail
- No data to dataeze cloud
- No third-party storage
Real companies, live pipelines, numbers that hold up.
A sample of what we run in production today, across very different businesses.
Phitku
One foundation. Every desk gets the same truth, turned into their next move.
Every source, Shopify · Amazon · Blinkit · B2B, self-healed nightly and reconciled into one number then handed to each desk as an action:
Trainers act on at-risk clients, live.
- Punchpass, Fresha and Zoho unified into one warehouse
- Power BI dashboards plus a Buddy trainer panel for daily ops
- Self-healing daily pipeline with a watchdog, fresh on its own
Demand-to-Shelf clarity from raw sales data.
- Self-serve dashboard suite over one governed model
- AI BI agent answers plain-English questions, SQL-traceable
- Demand forecasting and allocation from sales and distributor data
True store-level attribution, with no shared key.
- Data warehouse rebuilt on a clean BigQuery star schema
- Fynd and Shopify bridged despite no shared identifier
- A silent shipment-feed outage caught and root-caused in days, not quarters
See it on your data, not our slides.
We prep a live teardown of your stack before the call. Name, work email, and a time, that is all.
You get the operator, not an account manager.
dataeze is founder-led, with a senior network activated per engagement. The people who scope your problem are the people who build it. No pyramid of juniors learning on your budget.
22 years inside the engine rooms of Indian business.
Airtel's regional sales floors. Strategy desks at Dainik Bhaskar and HT Media. Trade and distributor data at SC Johnson. Then 6 years at Lenskart, Head of Analytics to AVP Global Pricing & Growth, on the road to its IPO, running Owndays analytics across Japan and Southeast Asia along the way, and AI-first analytics at Cars24 after that.
dataeze is that experience, productized.
Connect on LinkedInStart where it hurts. Grow into the rest.
Three ways to work with us. Every one starts from the same foundation: a warehouse you own and one governed definition of every number.
Foundation
Your numbers, reconciled.
Every source wired into a warehouse you own, a semantic layer that defines each metric once, and dashboards on the surface your team already uses. Live in 2 to 4 weeks.
- Warehouse and nightly pipelines
- Semantic layer, reconciled to source
- Power BI or web dashboards
Foundation + AI analysts
One number on every desk, and the move.
Everything in Path 01, plus the plain-English analyst, an alert the moment a metric breaks, and a senior team running and reconciling the pipeline every night.
- AI analyst on every desk, SQL to verify
- Alerts on breaks, on any device
- Run and reconciled nightly by us
Build on the foundation
The tool your business is missing.
Custom panels, agents and workflows on top of the governed model: a live floor panel for retail, an inventory planner for the warehouse, a WhatsApp analyst for the founder.
- Live intelligence panels
- Inventory and replenishment planners
- WhatsApp and voice analysts
Priced per engagement, quoted on the call.
- A one-time build, then a monthly retainer. No per-seat licence to grow into.
- Live in 2 to 4 weeks. Not a six-month scoping cycle.
- You own all of it. The warehouse, the code and the data, on your own infrastructure.
Before you pay anything, we name the first 3 things we would fix, on your own data.
Straight answers, before you ask.
What is dataeze?
dataeze (dataeze.ai) is an AI-first data and analytics firm for growing consumer brands. We rebuild your data foundation so AI can tell the truth about your business, then put a team of AI analysts on every desk, so anyone can ask a question in plain English and get a traceable answer with the exact action to take.
Who is dataeze for?
Founders and operators at scaling direct-to-consumer and SME consumer brands across D2C, FMCG and wellness, who are drowning in disconnected data across Shopify, Amazon, ads and spreadsheets.
How is dataeze different from a dashboard or BI tool?
A dashboard shows charts and waits. dataeze governs one trusted number, answers questions in plain English in seconds, and traces every answer back to the exact SQL query that ran. No black box, no analyst bottleneck.
Is my data safe, and where does it run?
Everything runs on your own infrastructure. dataeze builds the data layer, semantic layer, dashboards and the AI agent inside your own server or cloud, with role-based access and every query logged. dataeze stores none of your data.
How fast can we go live?
Most brands are live in 2 to 4 weeks, not the 6 to 12 months a data-team build takes, because the foundation and the AI analysts are productized.
Who built dataeze?
Operators, not researchers, with 20-plus years of enterprise data experience across companies like Lenskart, Cars24, Owndays, SC Johnson and Airtel, now productized for growing consumer brands.
Why not just point ChatGPT or Claude at our data?
You can, and the answer will be confident and often wrong. On raw, ungoverned schemas, text-to-SQL accuracy sits below 20% in industry benchmarks, because nobody has told the model what revenue, margin or an order actually means in your business. The work is the layer underneath: pull every source, clean it, reconcile it, define every metric once. dataeze builds that layer and runs it every night, so the AI answers from one governed number and every answer carries the SQL to verify it.
We already have Power BI and an analyst. Do we still need dataeze?
Keep both. We build the warehouse and the semantic layer under them, so your dashboards and the AI read the same definitions instead of each report recomputing its own. Power BI is one of the surfaces we ship on today. Your analyst stops reconciling exports every Monday and starts answering the questions that move the business.
Will connecting our Shopify, Meta or Google Ads accounts put them at risk?
No. We read through each platform's official API with read-only reporting scopes. We never create campaigns, change budgets, edit listings or touch orders. Access is limited to the metrics we report on, credentials live in the environment the system runs in, which you own, and you can revoke any source at any time.
Go AI-first in 2 to 4 weeks.
dataeze is not another tool. It's an end-to-end solution that puts an AI-first analyst on every desk, budget-friendly, with ROI in multiples. Pick a 20-minute slot and we will show you the first 3 things we would fix to get you to one number your whole team trusts.
Already in production for Phitku, the Shark Tank India personal-care brand, plus REDMAT Pilates, Kokuyo Camlin and The Pant Project.
Book your 20-minute teardown
Just your name, work email, and a time. We prep a live teardown of your business before the call.
Prefer to reach out directly? Email hello@dataeze.ai · WhatsApp +91 99103 55559