DataDrill logo

DataDrill

enhanced

AI Chatbot

MNDA

Enterprise/Corporation
Company Type
Durham, United States
Location
Project work
Engagement Model
1 - 5 people
Team Size
Ongoing
Duration
$100K - $150K
Budget

About

A domain-specific AI SQL chatbot that replaces outdated tools by instantly converting natural language questions into precise SQL queries across 250+ structured fields. It increases insight accuracy, broadens data coverage, accelerates analytics workflows, and empowers teams to access HTA, pricing, regulatory, and clinical data without relying on technical analysts.

Challenge, approach, and impact

Key Challenges Addressed

The legacy chatbot operated on a limited 20-column table, produced generic results, and had high cost and latency. It could not support multi-intent or complex regulatory queries and lacked observability, metadata structure, and compliance confidence. The CRO needed broader coverage, accuracy, and a production-ready AI system.

How we built

AI & ML Solutions

Testimonials

Anonymous

Verified Testimonial

This project pushed us to rethink how natural-language systems interact with highly regulated datasets. Rebuilding the SQL logic into seven clean, domain-aligned views made everything click. Watching analysts run complex HTA or pricing queries in seconds instead of waiting days was the moment we knew the solution landed. It’s the kind of work that reminds you why this domain matters.

Team structure

Client team

Amin's avatar

Amin

CTO

Project stakeholder

The client stakeholders were working closely with the team at DataDrill

Agency team

1 x AI Lead's avatar

1 x AI Lead

Governance

2 x Frontend Developer's avatar

2 x Frontend Developer

Production

1 x DevOps's avatar

1 x DevOps

Production

Similar Case Studies

Slide 1 of 0
DataDrill's logo

Chat with agency

Let's turn your ideas into reality—connect with our team.