Forget manual fixes

Fastest way to Refine, Compare & Personalize Queries

Unlock Agentic AI to personalize your queries - tweak, optimize, compare versions, and trace every change along with logic and metadata — with a history-aware editor that thinks with you.

See Agentic AI in action

Challenges in discovery, relations and quality

Meet The AI SQL Editor Built for Speed and Accuracy

Lost Versioning = Lost Time

Autonomous reasoning graphs

Analysts often overwrite or duplicate SQL queries with each edit —losing the “why” behind the change — leading to confusion, duplication, and backtracking.

AI powered versioning

Revalidating Earlier Logic Is Error-Prone

Real-Time Context Intelligence

Every tweak to a query forces manual checks through previous logic steps. This repeated re-validation is not only tedious — it's risky and slows down insights.

Autonomous deep reasoning

Query performance = High Cost

Instant Answers

Misusing joins, overusing subqueries, overcounting duplicate joins is costing thousands of wasted dollars.

AI in-built optimization

Manual Query Fixes Are High Friction

Multi-Persona Agents

Fixing JOIN conditions, WHERE clauses, or groupings manually — tweaking them repeatedly is slow. You either break something or spend an hour debugging what changed.

Ask in natural language

Features

Connecty AI’s Intuitive Workflow with full human control and transparency.

Edit flexibly

Chat in plain English, use the no-code graph editor, or tweak the code manually

Jump

Navigate back and forth through a visual versioning tree, retaining full context, metadata, and timestamps

Compare

Instantly compare inline edits using side-by-side version diffs to see what changed.

Branch Explore

Start a new thread from any branch to explore alternate paths. Follow-up queries are linked by context for deeper explorations—from hypothesis to insight.

Interpret

Your query is more than just code—it has a story. See complex questions broken down into subqueries as an intent graph, along with the context used and visualized relationships

Validate and Personalize

Save your edited query as verified, so the AI learns your SQL habits and preferences.

Edit flexibly

Chat in plain English, use the no-code graph editor, or tweak the code manually

Jump

Navigate back and forth through a visual versioning tree, retaining full context, metadata, and timestamps

Compare

Instantly compare inline edits using side-by-side version diffs to see what changed.

Branch Explore

Start a new thread from any branch to explore alternate paths. Follow-up queries are linked by context for deeper explorations—from hypothesis to insight.

Interpret

Your query is more than just code—it has a story. See complex questions broken down into subqueries as an intent graph, along with the context used and visualized relationships

Validate and Personalize

Save your edited query as verified, so the AI learns your SQL habits and preferences.

Connecty AI Advantage

Case studies

Logistics

How many SKUs were in stock yesterday?

What is the orders funnel for the last 6 months, including creation time, planned shipping time, picking duration, loading time, shipping confirmation, canceled orders, release duration, and finished orders?

How many SKUs were in stock yesterday?

What is the orders funnel for the last 6 months, including creation time, planned shipping time, picking duration, loading time, shipping confirmation, canceled orders, release duration, and finished orders?

B2C SaaS

Compare the churn rate for users acquired through paid ads vs. organic in the last quarter — and show how it correlates with engagement levels.

How does churn behavior differ across user cohorts based on signup month, and what role do product usage frequency play in early vs late-stage churn?

Show the subscription acquisition funnel over the past 6 months: site

Compare the churn rate for users acquired through paid ads vs. organic in the last quarter — and show how it correlates with engagement levels.

How does churn behavior differ across user cohorts based on signup month, and what role do product usage frequency play in early vs late-stage churn?

Show the subscription acquisition funnel over the past 6 months: site

E-commerce:

Which page with the country US had the highest increase compared to the previews week on march first 2025

Which page in the gaming playground category has the highest total clicks? how many impressions did the most clicked page in the gaming playground reach?

Which page with the country US had the highest increase compared to the previews week on march first 2025

Which page in the gaming playground category has the highest total clicks? how many impressions did the most clicked page in the gaming playground reach?