Arka Analytics

Arka Analytics

Copilot & Analytics for Attio

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Overview

Arka Analytics is an AI-native analytics platform that lets you explore, visualize, and ask questions across your Attio CRM data in seconds.

Instead of exporting data or building custom reports, Arka automatically turns your Attio objects into live dashboards and lets you query them using natural language. You can analyze pipeline health, account engagement, deal velocity, revenue trends, and relationship data—without writing SQL or setting up models.

Arka is built for modern teams that want fast, self-serve insights across sales, revenue, and go-to-market data, while maintaining enterprise-grade security and control.

How it works

Once connected, Arka Analytics securely syncs selected data from Attio and makes it immediately available for analysis.

Arka can sync and analyze:

  • Companies, people, and custom objects
  • Deals, pipelines, and stages
  • Activities, notes, and relationship data
  • Timestamps, owners, and lifecycle fields

After syncing, Arka:

  1. Automatically generates dashboards and metrics from your Attio data
  2. Lets you ask questions in plain English (e.g. “Which deals stalled last quarter?”)
  3. Combines structured CRM data with unstructured data (notes, descriptions, activity logs)
  4. Keeps dashboards up to date as your Attio data changes

No manual modeling, exports, or maintenance required.

Configure

To use this integration, you’ll need an active Arka Analytics account.

Setup steps:

  1. Sign in to your Arka Analytics workspace
  2. From Arka, add Attio as a data source
  3. Authenticate your Attio account and select the objects you want to sync
  4. Arka will automatically ingest the data and generate dashboards

Once connected, your Attio data is available instantly for dashboards, analysis, and natural-language queries inside Arka.

All data access follows Attio permissions and is encrypted in transit and at rest. For organizations with stricter security requirements, Arka also supports self-hosted deployments where data remains entirely within your own infrastructure.