Datagran

Datagran is an AI-powered data integration and analytics platform that enables businesses to build internal data tools, create workflows, and develop custom applications. The platform simplifies data analytics and AI, making it accessible to both technical and non-technical users across organizations by connecting multiple data sources, visualizing data, creating AI bots for natural language interactions, and automating alerts and workflows.

Key features:
- Data Integration: Connects to multiple data sources including business applications and data warehouses, offering state-of-the-art Extract and Load (EL) capabilities and seamless data transport between business apps.
- AI Bots: Enables natural language querying of data without logging into analytics tools, allowing users to ask questions to AI bots in natural language.
- Visualization: Facilitates the creation of charts and dashboards in everyday tools like Notion, with the ability to embed visualizations anywhere.
- Alerts: Allows creation of custom logic for alerts, with notifications sent to Slack, WhatsApp, or Teams.
- Custom Apps: Supports building internal data tools quickly, including the ability to create apps using natural language.
- Data Destinations: Enables sending pipeline outputs to various business applications and integrates with email for data sharing.
- Machine Learning: Supports deployment and running of machine learning models, as well as automation of ML pipelines.
- Collaboration: Offers integrated chat tools for sharing and discussing data projects, along with the ability to create shareable links for dashboards and reports.
- Flexibility: Supports both code and no-code approaches, making it suitable for technical and non-technical users.

How it works:
1. Users sign up for a Datagran account on their web platform.
2. Connect desired data sources using Datagran's integration capabilities.
3. Create data workflows or use AI to build custom applications.
4. Share insights and collaborate with team members through the platform.
5. Deploy machine learning models and automate data pipelines as needed.

Integrations:
Business applications, data warehouses, Slack, WhatsApp, Microsoft Teams, Notion, email services

Use of AI:
Datagran leverages generative AI for natural language interactions, app creation, and data querying. Users can interact with the platform using natural language for many tasks, including building applications and querying data.

Target users:
- Enterprises
- Small and Medium-sized Enterprises (SMEs)
- Marketing and advertising professionals
- Data analysts and scientists
- Business users without technical expertise

How to access:
Datagran is available as a web application. API access is also mentioned in pricing tiers.

Industries:
Datagran is applicable to marketing and advertising, consumer electronics, retail, and any industry requiring data analytics and integration.

Software availability:
Datagran is proprietary software offered as a service and is not open source.