Ask questions, get answers from any CSV instantly

Query spreadsheets in plain English—or generate ready-to-run SQL—with Avahi’s AWS-powered engine that turns flat files into live business insight.

Why you’ll love Avahi CSV querying

Natural-language interface lets anyone explore data without writing code
One-click export of the AI-generated SQL so analysts can drop it into Athena, Redshift or your warehouse.
Works with files in S3, Dropbox or local upload and handles millions of rows with serverless scaling.
Bedrock large-language models interpret complex joins, filters and aggregations accurately.
All data stays inside your AWS account, encrypted at rest and in transit for full security and compliance.
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How it works

01

Discovery workshop

Define data sources, user roles and governance needs in a one-hour session.

02

Pilot workspace

Connect sample CSVs, configure access policies and validate query accuracy.

03

Production rollout

Orchestrate Bedrock prompts with Lambda and Step Functions, store query logs in CloudWatch, and publish results to QuickSight dashboards.

04

Optimise and grow

Add scheduled refresh tasks, tune prompt templates and enable multilingual support.

Industry use cases

Industry
Example question the bot can answer
Finance
Show me month-to-date card transactions over $10k by region
Retail and e-commerce
Which SKUs had the biggest jump in returns last week?
Operations and supply chain
List suppliers with on-time delivery below 90 percent in Q1
Healthcare
What is the average claims processing time per facility this quarter?”
SaaS and B2B
Give me churn rate by plan tier for the past twelve months

What our customers
are saying

We used to wait two days for ad-hoc reports. Now anyone can ask the CSV directly and see the SQL if they want. Decision speed is up 5×
quote 1

Raj Patel

Head of Analytics, QuickCart

Key Result

95 percent reduction in analyst queue times

Average query turnaround under ten secondswith manual writing

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How FreshFunds replaced manual spreadsheets with AI querying

Challenge

Finance teams spent hours slicing CSV exports in Excel, risking errors and version sprawl.

Solution

Avahi deployed natural-language querying on Bedrock with auto-generated SQL pushed to Athena, then visualised results in QuickSight.

Results

Report prep time cut from three hours to fifteen minutes

Spreadsheet errors reduced by 80 percent

Leadership adoption of self-service analytics up 60 percent

Frequently
Asked Questions

Do we need to move our CSVs into a database first?

No. The engine can query directly against files in S3 or local uploads. You can also export SQL to run in Athena or your existing warehouse.

Can we restrict access to sensitive columns?

Yes. Role-based policies hide or mask fields and prevent unauthorised joins.

How is pricing structured?

You pay for tokens processed by Bedrock and serverless compute used for previews. Most SMBs spend less than traditional BI licensing.

Ready to talk to your data?

No credit card required. An AWS Solutions Architect will respond within one business day.
No credit card required. An AWS Solutions Architect will respond within one business day.

Download Solution Brief