Gartner® recognizes Pathway as an Emerging Visionary in GenAI Engineering

Mudit Srivastava·November 14, 2024·0 min read

We’re thrilled to announce that Pathway has been recognized as an Emerging Visionary in the Gartner® Emerging Market Quadrant™ for GenAI Engineering.

Positioned higher on the Future Potential axis on the Gartner® Emerging Market Quadrant™ for GenAI Engineering, Pathway leads ahead of notable counterparts like Cohere, H2O.ai, Neo4j, Scale AI, Weights & Biases, and Pinecone. This acknowledgment by Gartner® underscores Pathway’s dedication to pioneering AI-driven solutions tailored for real-time data processing and scalable machine learning workflows.

You can read this blog for some insights. For full access to the Gartner® Emerging Market Quadrant™ report, please visit this page on Gartner’s website (gated content).

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Generative AI: A Foundational Technology Across Verticals

As Gartner® notes, Generative AI is rapidly transitioning from a niche technology to a core component of enterprise infrastructures.

This year marks the full-scale adoption of Generative AI across industries, as organizations shift from pilot projects to production-ready implementations. Pathway is uniquely positioned to support this transformation, offering easy-to-use tools for managing and deploying GenAI applications in real time, making it a key player in the enterprise AI landscape.

What are Gartner® Emerging Market Quadrants™ for Generative AI

Gartner®’s Emerging Market Quadrants™, launched in June 2024 and modeled after Gartner®’s Magic Quadrants™, focus on four submarkets within the Generative AI technical stack:

GenAI Specialized Cloud Infrastructure
GenAI Engineering (the focus of this blog)
AI Knowledge Management and General Productivity Applications
GenAI Model Providers

Pathway is recognized as an Emerging Visionary player in two of the three submarkets: GenAI Engineering and AI Knowledge Management and General Productivity Applications.

The Generative AI Engineering Market as Defined by Gartner®

The Generative AI Engineering market, the primary focus of this blog, is a specialized segment within the broader AI Engineering field.

"Gartner® defines the generative AI engineering submarket as technologies providing full-model life cycle management, specifically adjusted to and catering for developing, refining, and deploying generative models (e.g., large language models LLMs) and other GenAI artifacts in production applications. This submarket includes platforms for AI orchestration (e.g., model chaining, agent development, and RAG architecture accelerators)."

By leveraging its robust architecture, Pathway enables businesses to deploy real-time RAG systems and AI-powered applications. This recognition underscores Pathway's comprehensive approach to building adaptable, secure, and cost-effective AI infrastructure.

Pathway’s Unique Approach to Generative AI Engineering

Enterprises work on constantly changing datasets and the problem with most Gen AI Engineering solutions is that they are designed to work on static data. Pathway believes that the Enterprise Gen AI stack of the future will be built on live streaming data as opposed to batch processing.

Pathway stands out for its ability to seamlessly integrate historical and live data sources such as Kafka, S3, and private sources like Microsoft SharePoint, Google Drive, and PostgreSQL, enabling businesses to operationalize real-time Gen AI applications effectively. Since 2020, Pathway has developed a lightweight, next-generation technology that is available as a Python-native package on GitHub and a Docker image on Dockerhub, facilitating scalable deployments across diverse environments.

The application templates provided in our public repo scale up to millions of pages of documents with consistent performance. While some market solutions are optimized for simplicity, and others are optimized for accuracy - we do both. Many of our customers use Pathway out of the box, others change some steps of the pipeline: adding new data sources or changing a Vector Index into a Hybrid Index, is a one code-line change in Pathway. The apps can be run as Docker containers, from private local installations to large-scale cloud deployments.

Powered by Rust for high-performance execution, Pathway delivers advanced data transformations and deep pipelines while maintaining the ease of development through Python. Our platform processes millions of data points per second, surpassing technologies like Spark, Kafka Streams, and Flink. This capability unlocks the immense value for Generative AI applications, positioning Pathway as a game-changer for enterprises.

Evaluating Gen AI Solutions for Enterprises

Thoroughly evaluating GenAI solutions—especially in areas of security, privacy, and cost-efficiency—is crucial for any enterprise. Pathway addresses these key areas with innovative AI solutions that meet stringent enterprise requirements. Designed for flexibility, our systems enable businesses to experiment with multiple model and index combinations while ensuring data security, real-time updates, and high performance.

Evaluate Pathway for Your Enterprise Generative AI Application

Pathway is already serving notable technology giants such as NATO and Intel, and is natively available via AWS and Azure Marketplaces. If you’d like to explore how Pathway can support your Generative AI initiatives, we invite you to schedule a discovery session with our team. You can book a call to understand how Pathway can bring value to your enterprise.