Give your customers an embedded analytics assistant

Configurable AI assistants connected to user-facing data. Allow customers to analyze their data through a ChatGPT-like interface, without leaving your app.

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Integrate today

A simple integration to ship an analytics assistant in minutes. No LLM team required.

1

Create conversations

Initialize with the context of the requester.

POST
https://app.inconvo.ai/api/v1/conversations
{
  "context": {
    "organisationId": 1
  }
}
2

Send messages

Chat with an agent that uses reasoning to synthesize large amounts of the requesters data and complete their research tasks.

POST
https://app.inconvo.ai/api/v1/conversations/{conversation_id}/response
{
  "message": "Which products are currently low in stock?"
}

How Inconvo works

We use your existing database to power a production-ready AI-powered conversational analytics engine optimized for accuracy.

1

Connect your Data Source

Connect with your existing data sources to retrieve data for Ask AI.

Inconvo
2

Ship Conversational Analytics

Quickly embed an analytics assistant into your app using our API.

What was the location with the most orders last month?

Inconvo AI

Tokyo, with a total of 379 orders during May 25'

What item was ordered most there in that period?

Inconvo AI

During last month it was the iPhone 15, with a total of 125 units ordered.

What was our most popular product last month?

Inconvo AI

Last month (May 25') it was the iPhone 15, with a total of 256 orders.

What percentage of total monthly revenue did it generate?

Inconvo AI

iPhone 15 sales made up 22.86% May's revenue.

How many new customers did we win last month?

Inconvo AI

You won 4 new customers last month (May 25'), These are users who placed their very first order during that period.

Where are they located?

Inconvo AI

Canberra, Madrid, Charlotte and San Diego

3

Monitor and Optimize

Monitor usage in real-time and optimize accuracy with built-in evaluations.

Sales Performance Q4
12 messages 2 mins ago
Customer Churn Analysis
8 messages 5 mins ago
Revenue Forecast 2025
15 messages 12 mins ago
Inventory Levels Check
6 messages 18 mins ago
Marketing Campaign ROI
20 messages 5 mins ago
Sales Performance Q4
12 messages 2 mins ago
Customer Churn Analysis
8 messages 5 mins ago
Revenue Forecast 2025
15 messages 12 mins ago
Inventory Levels Check
6 messages 18 mins ago
Marketing Campaign ROI
20 messages 25 mins ago

Manage conversational analytics on the Inconvo platform.

Use the self-service platform to fine-tune your AI analytics assistant.

Semantic Modelling

Set up your assistant to understand your data and business.

products

Columns

name string
stock_level number
last_stocked DateTime
margin number
$ Computed (price - cost) / price

Relations

orders many

Prompt

"We consider a product low stock if the stock_level is less than 20"

Context Filter

WHERE store_id = request.context.storeId

Eval Mode

See what your assistant is doing under the hood.

Test Cases

What were our top selling products last month?

Passing
Product Revenue
Premium Widget $12,450
Standard Kit $8,320

Show customer retention rate by quarter

Failing

Chat Mode

Vibe check your assistant with a chat interface.

What was our most popular product last month?

Inconvo
The most popular product for your organisation last month (May 2025) was the iPhone 15, with a total of 256 units ordered.

How much revenue did we make from those orders?

Inconvo
Your organisation made a total revenue of $146,580.17 from iPhone 15 orders in May 2025.

what percentage was that of the total revenue in the same period?

Inconvo
The revenue from iPhone 15 orders in May 2025 accounted for approximately 22.86% of your organisation's total revenue for that month.

And what was that total revenue?

Inconvo
The total revenue for your organisation in May 2025 was $641,282.92.
REQUEST
{
  "question": "What was our most popular product last month?",
  "context": {
    "organisationId": 1
  }
}
RESPONSE
{
  "id": "5ec59eac-b967-4cf4-aefc-45bd261d34f0",
  "conversationId": "112a8208-283f-47a8-adeb-572429a6da90",
  "type": "text",
  "message": "The most popular product for your organisation last month (May 2025) was the iPhone 15, with a total of 256 units ordered."
}
REQUEST
{
  "question": "How much revenue did we make from those orders?",
  "context": {
    "organisationId": 1
  },
  "conversationId": "112a8208-283f-47a8-adeb-572429a6da90"
}
RESPONSE
{
  "id": "22e55d5b-6fad-4acf-9b74-cac2ef063d19",
  "conversationId": "112a8208-283f-47a8-adeb-572429a6da90",
  "type": "text",
  "message": "Your organisation made a total revenue of $146,580.17 from iPhone 15 orders in May 2025."
}
REQUEST
{
  "question": "what percentage was that of the total revenue in the same period?",
  "context": {
    "organisationId": 1
  },
  "conversationId": "112a8208-283f-47a8-adeb-572429a6da90"
}
RESPONSE
{
  "id": "309dd800-7f72-4948-8945-3e92bc628f9d",
  "conversationId": "112a8208-283f-47a8-adeb-572429a6da90",
  "type": "text",
  "message": "The revenue from iPhone 15 orders in May 2025 accounted for approximately 22.86% of your organisation's total revenue for that month."
}
REQUEST
{
  "question": "And what was that total revenue?",
  "context": {
    "organisationId": 1
  },
  "conversationId": "112a8208-283f-47a8-adeb-572429a6da90"
}
RESPONSE
{
  "id": "85b59ba1-00c8-40ef-9b5a-a59e9c119c77",
  "conversationId": "112a8208-283f-47a8-adeb-572429a6da90",
  "type": "text",
  "message": "The total revenue for your organisation in May 2025 was $641,282.92."
}

Monitoring

See exactly what your users are asking your assistant in production.

How many products were sold in the last quarter?

Positive
4 messages

What was the average order value for November?

None
2 messages

Show me customer acquisition costs by channel

Mixed
6 messages

Compare revenue growth between regions

Negative
2 messages

What's the average customer lifetime value?

Positive
2 messages

We want to make embedding analytics assistants easy

An analytics assistant should be available in your product.

It should be powerful, fast and accurate. Your developers should find integration effortless. Your PMs should have clear visibility into user interactions. Your designers should fully control the look and feel.

And if all of those people are just you, it should work for you as well.

Give it a spin , and let us know what you think.
Inconvo Team