🚀 Dataherald - Query your structured database in natural language
Enable anyone to get answers to ad hoc data questions in seconds – no SQL needed
The TL;DR
Rather than waiting hours or days, business users get answers to complex data questions in seconds – all in plain English. Dataherald’s AI-powered natural language to SQL agent gives you answers, fast. It’s like having a data analyst on standby 24/7.
👋 Howdy! - we’re Amir and Anuj; we’re building Dataherald. We’re on a mission to enable anyone to get answers to their data questions immediately. No longer do you have to click through dozens of BI dashboards or “wait on the data team” to get the answers you need.
The Problem
With an ever-increasing volume of data, businesses have invested heavily in BI tools with the aim of providing answers to data questions. These tools often fail to handle complex data queries, leading to a backlog of ad hoc questions for the data team, inevitably creating a bottleneck.
The Data BI “Doom Loop” — Dashboards inevitably fall short in answering certain data questions, leaving people waiting.
The Solution
Business users want answers to their data questions in the most natural way possible - by simply posing a question in plain language and receiving a response in the same natural language format.
Dataherald cuts through the noise, providing quick answers to complex data questions, all in plain English. Users Slack their queries to our bot and receive instant responses.
Our natural language-to-SQL agent, supported by an LLM, comprehends questions, identifies relevant data tables, writes SQL queries, and assesses confidence levels in responses. If confidence is low, a member of your data team can review and modify the SQL. Best of all, Dataherald's algorithm continuously improves, delivering more accurate insights over time. Watch the product in action in the link below!
The ASK
- Join our waitlist and we’ll get in touch ASAP
- Check out Dataherald in action (video link)
- Stay informed about our latest developments by following us on LinkedIn and Medium. Our journey is just beginning!
- Open-source engine is now available on Github