Chat With Your Data — AI Insights Assistant Development
A Chat With Your Data costs $1,200 – $2,500 at PINCLER and takes 12–20 days to build. Ask questions in plain English and get answers, charts and SQL from your own database.
The price moves inside the $1,200 – $2,500 band based on how many of the features you need, the number of integrations, the number of user roles and whether existing data has to be migrated. That band is possible because AI coding tools write the first draft while senior engineers review every line, add automated tests and harden security. It covers this one workflow with standard integrations and never exceeds $2,500.
- Fixed price
- $1,200 – $2,500
- Delivery
- 12–20 days
- Built with
- Claude · GPT · Claude Code · Cursor
An AI insights assistant that lets your team question your database in plain English, Arabic or Hindi and get charts back. Custom AI development from $1,200 to $2,500 in 12 to 20 days.
The problem
Every question about the business, from 'which branch had the most refunds last month' to 'how many leads came from Instagram', ends up in a developer's queue or a half-day of spreadsheet work. Managers stop asking, analysts become a bottleneck, and the data you paid to collect sits unused. Off-the-shelf BI tools help a little, but they still need someone who knows the schema and the filters.
What we build
We build a chat assistant on Claude or GPT that understands your database schema, converts questions into safe read-only SQL, runs them against your data and replies with a plain-language answer plus a chart. It works in English, Arabic and Hindi and remembers context within a conversation. With Claude Code and Cursor we scaffold the query engine, schema indexing and guardrails in the first week, test it against hundreds of generated questions, and then tune it on your real data. You receive the full source code, a deployed web app or Slack integration and a fixed price that never exceeds $2,500.
Features included
- Natural-language questions in English, Arabic and Hindi
- Read-only SQL generation with row limits
- Automatic charts for trends and comparisons
- Schema descriptions so the AI understands your terms
- Saved questions and scheduled answers
- Slack, Teams or WhatsApp delivery
- Row-level permissions per user
- Full query log for audit
What you receive
- Source code in your GitHub repository
- Deployed assistant connected to your database
- Schema glossary and prompt configuration
- Evaluation report on 200 test questions
- 30-day support and tuning window
How we build it
- Day 0: free 30-minute call to fix the databases, users and question types in scope, with a written fixed quote
- Days 1–5: we index your schema, write the glossary and build the read-only SQL engine with guardrails
- Days 6–10: the assistant is tested against 200 generated questions and tuned until the SQL holds up
- Days 11–15: your managers pilot it on real questions in English, Arabic or Hindi and we fix misunderstandings
- Days 16–20: launch on web, Slack or WhatsApp, query logging switched on and the 30-day tuning window begins
What each budget gets you
| Budget | Build | What changes |
|---|---|---|
| $1,200 | Single database | One PostgreSQL or MySQL database, English questions, automatic charts, read-only SQL with row limits and a web app on your domain |
| $1,800 | Multi-lingual | Adds Arabic and Hindi questions, saved questions with scheduled answers, and delivery into Slack or Teams for your managers |
| $2,500 | Full assistant | Adds a second database, row-level permissions per user, WhatsApp delivery, a full audit log and an evaluation report on 200 test questions |
Ideal for
- E-commerce operators
- Finance and operations teams
- Franchise owners
- SaaS founders
- Logistics companies
FAQ
Chat With Your Data — AI Insights Assistant: common questions
How much does a chat-with-your-data assistant cost?
Between $1,200 and $2,500 depending on the number of databases and channels, delivered in 12 to 20 days. The quote is fixed before we start and never exceeds $2,500.
Is it safe to let an AI query our database?
The assistant only gets a read-only connection, every query is validated before it runs, and row-level rules stop users from seeing data outside their permission. We can also run the model inside your own cloud account.
What if it gets an answer wrong?
Every answer shows the SQL it ran so a manager can verify it, and you can add schema notes to correct misunderstandings. Accuracy improves quickly as those notes build up.
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