What does an AI data team do?
An AI data team builds and maintains the pipelines that move data from your billing, CRM, ad and spreadsheet tools into one warehouse, cleans and de-duplicates it, and checks its quality every day. The result is one trusted source of truth that dashboards, reports and AI agents can all read from.
What the AI data team does
- Pipelines from billing, CRM, ads and spreadsheets
- A warehouse on BigQuery or Postgres, set up for you
- Cleaning, de-duplication and one record per customer
- Data-quality checks that alert before reports break
- Documentation of every table and metric
- Access rules so each team sees what it should
How it works
Inventory
We list every data source and how each key number is defined today.
Pipe and clean
Pipelines into BigQuery or Postgres, with de-duplication and one record per customer.
Monitor
Daily quality checks, alerts before reports break, and documentation of every table.
Who it's for
Healthcare networks
Billing, appointment and lab data matched per patient and per centre.
E-commerce and D2C
Shopify, marketplace and ad data in one model.
Lending and financial services
Loan, collection and CRM data reconciled daily.
Logistics and distribution
Shipment, vendor and invoice data in one place.
Pricing
Discovery call + AI audit
30-minute call, process map and a costed plan for your AI data team. Founding members only.
Book for ₹199Set up and go live
One-time, fixed quote after the audit. Live in 2 to 6 weeks, with 30 days of fixes included.
Get a specialised quoteManaged every month
We monitor, fix and improve it, and add new automations each month.
Get a specialised quotePrices are starting points; GST extra where applicable. Your quote depends on volume, tools and integrations, and is fixed before we start. Full details on the pricing page.
Questions about AI data team
How much does a data warehouse setup cost for a small business?
Every project starts with a discovery call and AI audit, ₹199 for founding members while seats last (normally ₹15,000). Building your pipelines and warehouse starts from ₹50,000 as a fixed quote, and running it as a managed service starts from ₹40,000 a month. GST is extra. Cloud costs for BigQuery or Postgres are billed by the provider.
BigQuery or Postgres: which is better for us?
BigQuery is serverless and inexpensive at small-to-medium volumes, and pairs well with Looker Studio. Postgres suits teams that want a standard database they fully control. We pick based on your data size, tools and team.
Do we need a data engineer on staff?
No. We build, document and maintain the pipelines. If you hire later, your new team inherits clean, documented work.
Is our data safe?
We sign an NDA, build inside your own cloud accounts and set access rules so each team sees only what it should.
How long does it take to set up?
About one week for the audit, then two to six weeks to build and test it with your team. You see progress every week.
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