Mage

Mage

Software Development

Santa Clara, California 18,014 followers

🧙♀️ Data engineers use Mage to build, run, and manage data and AI/ML pipelines, and LLM orchestration (e.g. RAG).

About us

Mage provides a collaborative workspace that streamlines the data engineering workflow, enabling rapid development of data products and AI applications. Data engineers and data professionals use Mage to build, run, and manage data pipelines, AI/ML pipelines, build Retrieval Augmented Generation systems (RAG), and LLM orchestration. Mage is the only data platform that combines vital data engineering capabilities to make AI engineering more accessible. Chat: https://mage.ai/chat Open source: https://github.com/mage-ai/mage-ai

Website
https://mage.ai
Industry
Software Development
Company size
11-50 employees
Headquarters
Santa Clara, California
Type
Privately Held
Founded
2021
Specialties
AI, ML, Data Engineering, Data Pipelines, LLM, LLM Orchestration, Data Integration, RAG, Augmented Retrieval Generation, Transformation, Orchestration, and Streaming Pipelines

Products

Locations

Employees at Mage

Updates

  • Mage reposted this

    View profile for Abiodun Thorpe, graphic

    Analytics | Strategic Solutions Provider

    One of the underrated @mage.ai features (which I so love) is the early integration with open.ai. This helps with enhanced data processing and OpenAI's powerful natural language processing (NLP) models. This helps with extracting insights especially from unstructured data or performing sentiment analysis, and automating complex data orchestration and transformations. Super glad to be a contributor to this wonderful project. 😍 Mage

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  • Mage reposted this

    View profile for Cole Freeman, graphic

    Just a Cop Doing Data | Ex Cop | Power BI | SQL

    Are you a financial analytics professional looking to streamline your transaction monitoring processes? Learn how Mage’s conditional blocks can transform your financial transaction workflows using Conditional Blocks. Here’s what you’ll learn: ✅ How to create dynamic, decision-making data pipelines ✅ Leveraging Python and PostgreSQL in your AML tech stack ✅ Implementing parallel processing for different transaction types ✅ Building a practical pipeline for Suspicious Activity Report (SAR) filing Benefits of applying conditions to your blocks in Mage: ✅ Enhance compliance efficiency ✅ Reduce unnecessary SAR filings ✅ Adapt quickly to changing regulations ✅ Optimize resource allocation in your AML operations Mage's conditional blocks offer a powerful tool for creating intelligent, adaptive compliance workflows. Whether you're battling fraud or ensuring regulatory adherence, mastering this technique will set you apart in the field of financial compliance. Ready to enhance your financial data workflows ? Check out the full tutorial and start building smarter pipelines today! The link is in the comments below. 👇 🔔 Follow me for more content like this ♻ Repost to share with others. #AML #Python #FinancialCrime #DataEngineering

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  • View organization page for Mage, graphic

    18,014 followers

    🦸♂️ Tackle your data challenges by uniting your data into integrated pipelines! Integrated data pipelines are like the Avengers. Data sources (superheroes) unite under integrated data pipelines (Avengers), creating a powerful, interconnected story. Just as the Avengers unite their powers for a common goal, integrated data pipelines allow business to consolidate information from various data sources to provide themselves with a comprehensive and consistent dataset for intelligence, data analysis, and decision-making. 🔗 link to our integrated systems tutorial in the comments!

  • Mage reposted this

    View profile for Ashkan Golehpour, graphic

    Python Engineer | Passionate Data Engineer

    After using Airflow for a long time, switching to Mage has been a wonderful and comfortable experience. Despite having over 200 #DAGs, it makes sense to migrate them all to the sweet interface of Mage. I have utilized Mage in various scenarios, including #ETL/#ELT processes, #BigQuery operations, #streaming, and multiple #integrations. One of the most impressive features is the detailed logs and notifications, which I have successfully integrated with #MSTeams, #Slack, and #Telegram. Another standout feature is the seamless access to the terminal, which has been very impressive. I truly love using Mage! Special thanks to Tommy Dang and their team for this fantastic tool #MageAI #DataEngineering #ETL #ELT #BigQuery #DataStreaming #DataPipelines #Integrations #DataWorkflows  #Python #SQL

    • Mageai- pipelines
  • View organization page for Mage, graphic

    18,014 followers

    Discover the top data integration tools shaping enterprise data strategies in 2024; and find out which solutions can streamline your data workflows and boost productivity. 🧙♂️⭐️

    View profile for Cole Freeman, graphic

    Just a Cop Doing Data | Ex Cop | Power BI | SQL

    Are you struggling to manage your organization's growing data needs? In my latest blog post, I offer a comprehensive breakdown of some leading data integration tools, highlighting their key features and benefits. I cover some tools you would expect to see on this list and highlight Mage's data integration capabilities. What you'll find in the blog post: ✅ In-depth analysis of leading tools ✅ Key features and strengths of each platform ✅ Insights on how these tools can simplify your data processes Whether you're a seasoned data engineer or a business analyst looking to leverage your data more effectively, this article will help you navigate the complex world of data integration. Discover how the right tool can transform your data workflow, enhance decision-making, and drive innovation in your organization. Ready to optimize your data integration strategy? Check out the full article in the comments below. 👇 ♻ Repost if you are gaining value from my content. #dataengineering #dataanalytics #analyticsengineering

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  • Mage reposted this

    View profile for Cole Freeman, graphic

    Just a Cop Doing Data | Ex Cop | Power BI | SQL

    Are you struggling to manage your organization's growing data needs? In my latest blog post, I offer a comprehensive breakdown of some leading data integration tools, highlighting their key features and benefits. I cover some tools you would expect to see on this list and highlight Mage's data integration capabilities. What you'll find in the blog post: ✅ In-depth analysis of leading tools ✅ Key features and strengths of each platform ✅ Insights on how these tools can simplify your data processes Whether you're a seasoned data engineer or a business analyst looking to leverage your data more effectively, this article will help you navigate the complex world of data integration. Discover how the right tool can transform your data workflow, enhance decision-making, and drive innovation in your organization. Ready to optimize your data integration strategy? Check out the full article in the comments below. 👇 ♻ Repost if you are gaining value from my content. #dataengineering #dataanalytics #analyticsengineering

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  • Mage reposted this

    View profile for Sandro Novo, graphic

    Data Engineer & Analyst at Vasco Consult

    I have been playing around with Mage and I am absolutely delighted. In this video I'm sharing some explorations were made about gcp , sensor blocks, duckdb , bigquery integration, etc… All within the mage environment! Shout out to Tommy Dang and the team at Mage for coming up with this innovative and easy to work with tool. #DataEngineering #Innovation

  • Mage reposted this

    View profile for Guilherme Mendes, graphic

    Data Team Lead | Data Engineering @ Vasco Consult

    Thrilled to share this amazing video created by Sandro Novo showcasing the power of Mage.ai and how it can be implemented within GCP! This tool is a game-changer in data engineering, boosting our projects to new heights 🚀 Don't miss out on seeing how it can transform your data engineering workflow. #Technology #Innovation #DataEngineering

  • Mage reposted this

    View profile for Parker Goldman, graphic

    Business Analytics Manager | Using Python, SQL, Excel, and Power BI to drive business insights

    At Cannonball Advertising we have spent quite a bit of time in the last 12 months working on data infrastructure. One of the tools I've been most impressed with is Mage. Mage is an orchestration tool that allows us to efficiently build data pipelines and business scripts and trigger them on a custom CRON cadence. One of my favorite features is their custom callback functions for errors. By integrating Citrix's Podio for workflow automation and leveraging their inbound webhooks, we can create a ticket item from the callback block in Mage. Podio's workflow automation then sends an email alert to our team, resulting in an automated workflow for bug fixes in our pipelines. Additionally, Mage has made deployment an absolute breeze with its Terraform templates. It's a very user-friendly development experience! #DataEngineering #DataInfrastructure #WorkflowAutomation

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Funding

Mage 3 total rounds

Last Round

Seed

US$ 5.5M

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