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Avian

Avian connects data sources and engages in data conversations using AI, ensuring security with SOC/2 approved models.
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Avian

What is Avian?

Avian is an AI-powered data analytics platform designed for connecting data sources and engaging in conversations with data from over 20 platforms like Google Analytics and Facebook Ads. Users can create custom data chatbots to share insights with their team and clients. Avian offers features like native tool calling, efficient streaming API, and compatibility with OpenAI for seamless integration into various projects. The platform ensures data privacy and security by using secure, SOC/2 approved Open Source LLMs (Large Language Models) on Microsoft Azure, with no data stored during live queries.

Who created Avian?

Avian was created by a team of innovators, data scientists, and industry veterans at Avian.io. The company's mission is to empower organizations of all sizes to harness the full potential of their data through cutting-edge AI solutions. Avian.io leverages technologies such as GPT-4, Django, and Next.js to deliver secure, scalable, and AI-powered data analytics for both web and native user interfaces. The company is committed to democratizing data analytics and making it more accessible to propel businesses forward.

What is Avian used for?

  • Shopify Integration
  • Run inference on State of the Art language models
  • Operate with secure Open Source Foundation models on Microsoft Azure
  • Ensure GDPR, CCPA & SOC/2 compliance
  • Data integration for LLMs
  • Native tool calling with data connectors
  • RAG on databases & data sources
  • Internet search capabilities
  • Provide secure, scalable, and AI-powered data analytics solutions for web and native user interfaces
  • Utilize the latest Next.js framework for efficient data analytics solutions
  • Empower organizations to unlock the full potential of their data with unprecedented simplicity and speed
  • Empower organizations to unlock the full potential of their data
  • Train large language models on Azure
  • Ensure real-time insights without storing data using live queries
  • Provide secure and fast choice for LLM data integration
  • Set up time only 1 minutes
  • Offer $5 per million tokens to start
  • Democratize data analytics for insights and decisions
  • Enable efficient, high-performance, and scalable solutions for data analytics
  • Make data analysis smarter and more accessible
  • State-of-the-Art Language Models
  • Native Tool Calling
  • Streaming Capabilities
  • OpenAI Compatibility
  • Generative AI for Enterprise
  • LLM Data Integration
  • Spreadsheets Integration
  • LinkedIn Ads Integration
  • Google Analytics 4 Integration
  • Enhanced language processing with API
  • Native tool calling for enhanced capabilities
  • Efficient streaming API for real-time responses
  • OpenAI-compatible for easy integration
  • Competitive pricing at $5 per million tokens
  • Superior natural language understanding
  • Excellent performance on complex reasoning tasks
  • High accuracy in knowledge-based queries
  • State-of-the-art data analytics platform
  • Chat with data from over 20 platforms

Who is Avian for?

  • Data scientists
  • Data Analysts
  • AI specialists
  • Business analysts
  • Business Intelligence Professionals

How to use Avian?

To use Avian effectively, follow these steps:

  1. Sign Up: Visit the Avian website and create an account through the signup page.
  2. Select a Plan: Choose a suitable plan based on your data analysis needs - Business, Pro+, Agency, or Enterprise.
  3. Connect Data Sources: Link your data sources to Avian, including platforms like Google Analytics and Facebook Ads.
  4. Utilize Connectors: Define data connectors as the source platforms and destinations for your data analysis.
  5. Set Up Accounts: Manage the number of accounts linked to specific data sources within the Avian system.
  6. Onboarding Assistance: Opt for the optional Assisted Onboarding package for support with setting up connectors.
  7. Access Data Architect: Consider the Dedicated Data Architect package for ongoing collaboration and expert advice on data goals.
  8. Ensure Security: Avian prioritizes data security with GDPR compliance, encryption techniques, and robust data handling protocols.
  9. Upgrade Flexibility: Avian allows a grace period for plan upgrades to grow with your company's evolving needs.
  10. AI-Powered Analytics: Leverage the power of AI for data analysis with state-of-the-art language processing and GPT-4 models.

By following these steps, you can effectively harness the capabilities of Avian for advanced data analytics and insights with a focus on security and scalability.

Pros
  • Built on a foundation of Enterprise-Grade Tooling
  • Experienced team dedicated to making data analysis smarter and accessible
  • Native tool calling for enhanced capabilities
  • Efficient streaming API for real-time responses
  • OpenAI-compatible for easy integration
  • Competitive pricing at $5 per million tokens
  • Superior natural language understanding
  • Excellent performance on complex reasoning tasks
  • High accuracy in knowledge-based queries
  • Competitive edge in human evaluation tests
  • Powerful, Private, and Secure
  • Experience state-of-the-art language processing with our OpenAI-compatible API, powered by Meta's Llama 3.1 405B Model
  • Django framework for a secure and scalable application backend
  • Avian.io, powered by Azure and built on a foundation of enterprise-grade tooling, leverages GPT-4, Django, and Next.js to provide a secure, scalable, and AI-powered data analytics solution for web and native user interfaces
  • Superior performance with Llama 3.1 405B model across various benchmarks
Cons
  • The cons of using Avian are not explicitly listed in the provided documents.
  • No specific cons or disadvantages of using Avian were mentioned in the provided document.
  • No specific cons of using Avian are mentioned in the provided documents.

Avian Pricing and plans

Paid plans start at $5/month and include:

  • Native tool calling for enhanced capabilities
  • Efficient streaming API for real-time responses
  • OpenAI-compatible for easy integration
  • Superior natural language understanding
  • Excellent performance on complex reasoning tasks
  • High accuracy in knowledge-based queries

Avian FAQs

What is Avian?
Avian is an AI powered data analytics platform where you can connect your data sources and chat with data from over 20 platforms, including Google Analytics and Facebook Ads. You can then share custom data chatbots with your team and clients.
What is the vision of Avian?
Avian envisions a world where data speaks clearly to everyone, where strategic decisions are informed by real-time insights, and where the complexities of data science are distilled into simple conversations with their AI.
How are destinations billed in Avian?
Destinations are billed together in the relevant plan packages. For example, the choice of different destinations may require selecting specific plan tiers like the Business plan or higher depending on the destination being used.
What is the definition of a 'connector' or 'data source' in Avian?
A 'connector' or 'data source' is the platform where your business extracts data (e.g., Google Analytics). A 'destination' is where this data is analyzed. For example, Looker Studio can be a destination.
What does 'accounts per connector' mean in Avian?
'Accounts per connector' refers to the number of individual accounts linked to a specific connector within the Avian system. Each plan should accommodate the highest number of accounts you aim to connect via any single connector.
What is the Assisted Onboarding package in Avian?
The Assisted Onboarding package is an optional, one-time support addition for the Business plan. It involves setting up connectors for various destinations, excluding report creation or querying support.
What is the Dedicated Data Architect package in Avian?
The Dedicated Data Architect package is an ongoing collaboration between the user and a data specialist from Avian, assisting in onboarding, and providing advice on achieving data goals.

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