Connecty AI
Connecty AI
Connecty AI
Industry: AI-powered Analytics / Enterprise Data Management
Services: Agentic AI platform offering natural-language analytics, dynamic semantic layer generation, explainable AI reasoning, and context-aware data agents
Audience: Data teams, data engineers, analysts, governance professionals, as well as functional business users across large enterprises struggling with fragmented data systems
MVP development and foundational UX/UI design
Iterative product design through multiple post-launch cycles
Visual/UI refinement emphasizing clarity, explainability, and enterprise-grade polish
The Client
Connecty AI is an Agentic AI analytics platform that enables enterprise users to ask complex business questions in natural language and receive accurate, step-by-step, context-aware answers. It helps companies make sense of their data without the usual complexity. Instead of writing long SQL queries or waiting weeks for reports, teams can simply ask questions in plain language. Connecty AI is an Agentic AI analytics platform that enables enterprise users to ask complex business questions in natural language and receive accurate, step-by-step, context-aware answers. Behind the scenes, its “context engine” automatically organizes and connects all the data into a living map, so insights are accurate, trustworthy, and easy to trace.
Connecty AI is an Agentic AI analytics platform that enables enterprise users to ask complex business questions in natural language and receive accurate, step-by-step, context-aware answers. It helps companies make sense of their data without the usual complexity. Instead of writing long SQL queries or waiting weeks for reports, teams can simply ask questions in plain language. Connecty AI is an Agentic AI analytics platform that enables enterprise users to ask complex business questions in natural language and receive accurate, step-by-step, context-aware answers. Behind the scenes, its “context engine” automatically organizes and connects all the data into a living map, so insights are accurate, trustworthy, and easy to trace.
Business
Challenge
Data teams spend a disproportionate amount of time on mundane tasks like data preparation, schema mapping, and semantic documentation, typically between two to three weeks to generate actionable insights from fragmented data sources. The challenge: design a platform that dramatically reduces this friction while maintaining transparency, trust, and flexibility for diverse stakeholder roles.
Data teams spend a disproportionate amount of time on mundane tasks like data preparation, schema mapping, and semantic documentation, typically between two to three weeks to generate actionable insights from fragmented data sources. The challenge: design a platform that dramatically reduces this friction while maintaining transparency, trust, and flexibility for diverse stakeholder roles.
Project Details
We partnered with Connecty from their earliest days, shaping the MVP and designing the core product experience that went on to help secure their $1.8M pre-seed funding. Our work focused on making the platform both powerful and transparent. We created the intent graph UI to visually show how the AI interprets complex business questions, and built an explainable interface that combined natural language answers with editable SQL and confidence scores. Alongside this, we developed a dark-mode enterprise dashboard with consistent, intuitive data visualizations to give the product a polished and professional feel. Over time, we continued to refine the platform, improving governance features, adding trust signals, and enabling better collaboration flows. These iterations transformed the MVP into a robust product that now helps enterprise clients get insights in minutes instead of weeks.
We partnered with Connecty from their earliest days, shaping the MVP and designing the core product experience that went on to help secure their $1.8M pre-seed funding. Our work focused on making the platform both powerful and transparent. We created the intent graph UI to visually show how the AI interprets complex business questions, and built an explainable interface that combined natural language answers with editable SQL and confidence scores. Alongside this, we developed a dark-mode enterprise dashboard with consistent, intuitive data visualizations to give the product a polished and professional feel. Over time, we continued to refine the platform, improving governance features, adding trust signals, and enabling better collaboration flows. These iterations transformed the MVP into a robust product that now helps enterprise clients get insights in minutes instead of weeks.