Company

Introducing Inconvo

Eoghan Mulcahy
#why#problem#vision

Why are we doing this? What problem are we solving? Why now?

Inconvo conversational AI logo

Why are we doing this?

We’ve been building coversational AI for over a year now.

We love how magical it is to simply chat with AI in natural language for answers to questions on developer docs, sales prospects to message or the right phrasing to use in an email response.

However, we also deeply understand how difficult it is to build reliable Conversational AI.

This is why we became obsessed with creating a solution that lets developers add Ask-AI for customer-facing analytics to their applications with a few lines of code.

We believe intelligent natural language interfaces should be ubiqitous in all of the tools we use, the next time you visit a SaaS dashboard or have to generate a report you should simply ask in natural language to achieve your goal.

With Inconvo this becomes possible.

What problem are we solving?

Today, we are building Ask-AI for customer-facing analytics.

We make it easy for developers to add a natural language interface in a couple of lines of code through our simple API, so that their users can ask questions on their analytics data.

Building genuinely intelligent Conversational AI which is capable of answering dynamic user questions and not limited to a set of basic canned prompts demands undivided focus.

Current Conversational AI APIs are low-level, complex, and challenging to implement. Developers face a steep learning curve when integrating Conversational AI, and with a full product roadmap, this becomes a monumentous bordering on impossible undertaking.

With Inconvo shipping AI-first analytics is easy, simply send a user question to our API which will respond with a chart, table or text.

Inconvo connects to your database to automatically retrieve the right data to answer your users’ questions. Then, you’re in charge of presenting the responses to your users in a way that fits your design.

Inconvo is purpose-built to overcome the challenges of AI for customer-facing analytics, providing tools that handle multi-tenancy, database access control, AI evaluation, and a semantic layer that maps business terms to database labels.

Why now?

ChatGPT has over 300 million weekly users sending more than 1 billion messages per day. Conversational AI has rapidly become the interface of choice for the modern user and is poised to become the standard tomorrow.

B2B SaaS customer-facing analytics must transform to meet the emerging habits and behaviours of their users.

Nobody is building an exceptional developer experience to easily add Ask-AI for customer-facing analytics. We want to change that.

Join us

We’re making it easy for developers to add Ask-AI for customer-facing analytics to make natural language interfaces available in all of the products we use and love.

Request a demo to get started!