Retrieval Chatbot on Your Documents
A grounded AI assistant that answers from your own manuals and policies, cites its sources and admits when it does not know.
Ingestion pipeline for PDF, word-processor, HTML and team wiki content
₹44,999
Tested Analytics Data Warehouse
A single warehouse in which your application, payments and advertising data finally agree, modelled as tested, documented SQL transformations.
Overview
What this engagement is
Most disputes about reporting are really disputes about definitions. Marketing counts customers one way, finance another, and each team works from its own export. We build a warehouse on a proven relational database or a managed cloud warehouse, load your sources on a schedule and model them as version-controlled SQL transformations, so a term such as active customer is defined once, held in version control and guarded by a test that fails visibly when data goes wrong. Documentation is generated directly from the models, keeping it accurate instead of letting it age in a shared folder.
Deliverables
What you receive
- Warehouse provisioned on a relational database or managed cloud warehouse with access roles
- Ingestion from up to five sources, such as your application database, payment gateway and ad platforms
- Staging, intermediate and mart layers built as tested SQL models
- Data tests for uniqueness, referential integrity and freshness on key tables
- Generated documentation site with model lineage
- Daily scheduled runs with failure alerts via email or team chat
- Handover session on adding new models
Outcomes
What changes once it ships
One agreed number for every metric, defined in code and tested
Faulty upstream data is caught by a failing test rather than by a customer
Analysts spend their time on analysis instead of assembling data
Process
How the 4 stages run
Interview
We gather the questions the business has struggled to answer
Model
Sources are mapped and the mart layer is shaped around those questions
Build
Ingestion, SQL models and tests are implemented and backfilled
Handover
Walkthrough, documentation and two weeks of follow-up support for questions
A strong fit for
- Organisations where every report draws on a different spreadsheet
- Teams whose analysts spend their week joining exports manually
- Businesses preparing for due diligence and needing consistent figures
What we need from you
- Read access to source databases and platform accounts
- An hour with each owner of a disputed definition
- A decision on where the warehouse will be hosted and who funds it
You share these through the brief that opens in your client dashboard once payment is confirmed. The timeline starts when they arrive.
Answers
Questions about this engagement
Below a few hundred million rows, a standard relational database is usually simpler and more economical. We size it with you before committing.
That is entirely normal and is handled in the staging layer. Where issues cannot be fixed, we document them transparently.
No. Our Business Intelligence Dashboard Setup provides the dashboard layer and is designed to sit on top of this warehouse.
This is a digital service — nothing is shipped. Work is delivered to the timeline above, into systems you control, and our refund terms explain what happens if a date is missed.
Often paired with
Engagements that work well alongside.
Business Intelligence Dashboard Setup
Dashboards your leadership will genuinely use, built on governed queries instead of improvised SQL.
Business intelligence tool installed and connected to your database or warehouse
₹14,999
Machine Learning Feasibility Study
A clear, evidence-based answer on whether your data can support the model you have in mind, before you invest in building it.
Data audit covering volume, quality, labelling and class balance
₹18,999