A Unified Multi-Agent OS for Distributed Data Integration

Seamlessly combine data sources, scale processing tasks, and deliver APIs to empower robust analytics workflows.

Cellebris Component Integration

Accelerate Your Data-Driven Future

Break down data silos, orchestrate complex workflows, and thrive in a world of agile, serverless computation.

AI-powered solutions enhancing efficiency

The Surging Adoption of Multi-Agent Systems and AI-Driven Data Integration

These statistics underscore how enterprises leverage AI agents, multi-agent platforms, and integrated data strategies to drive growth, efficiency, and revenue.

33%
Enterprise Adoption of AI Agents
By 2028, 33% of enterprise software applications will include agentic AI, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously.
82%
Large Enterprises Planning to Integrate AI Agents
According to a Capgemini survey of 1,100 executives at large enterprises, 10% of organizations already use AI agents, more than half plan to use them in the next year, and 82% plan to integrate them within the next three years.
15%
Percent of Day-to-Day Work Decisions made Autonomously
Gartner predicts that within four years, at least 15% of day-to-day work decisions will be made autonomously through agentic AI, up from basically 0% this year.
$30B
Global Distributed Computing Market
In 2023, the global distributed computing market size was estimated to be valued at USD 30 billion, and it is projected to reach USD 100 billion by 2032, growing at an impressive CAGR of 14%.
Integration: Unify your operational data and supercharge your analytics with automated, scalable pipelines.

Modular Data Integration

Seamlessly unify disparate data sources into normalized models, enabling smooth and flexible data management.

Distributed Processing

Scale computations across a cluster of workers, ensuring efficient, real-time processing for evolving workloads.

Comprehensive API Distribution

Expose all functionalities, datasets, and commands through secure, well-documented APIs for easy downstream consumption.

Multi-Agent OS Architecture

Orchestrate tasks and schedules with a serverless, self-managing system that adapts to changing demands effortlessly.

Leveraging Popular Technologies You Already Trust

Powered by Open Source

Building off established ecosystems to drive secure, AI-powered knowledge management and automated research across industries.

Django Web Framework
Celery Process Orchestration
PostgreSQL Database
Redis Memory Store
Qdrant Vector Search Platform
Python Language
Pytorch Machine Learning Library
Git Version Control
Docker Container Runtime
Kubernetes Container Orchestration System
Helm Application Package Manager

Flexible, Efficient, and Extensible Data Integration

Modular, Extensible Architecture

Easily integrate diverse data sources with a pluggable, modular system that allows you to build and extend capabilities without complex rewrites.

Unified Data Models

Leverage integrated, dynamically generated data models that enable consistent, normalized data access without writing complex SQL queries.

Automated Distributed Processing

Scale horizontally with distributed task queues and workers, automating complex ETL pipelines, machine learning tasks, and scheduled operations.

Secure, Scalable Data Access

Provide secure and scalable access to processed and curated data via robust APIs, ensuring data integrity, role-based permissions, and encryption.

Adaptive, Agent-Driven and Serverless Processing

Event-Driven Scaling

Automatically scale processing capacity based on incoming workload, seamlessly adapting to spikes in data volume with zero manual intervention.

Agent-Based Orchestration

Orchestrate complex workflows with intelligent agents that distribute tasks, manage dependencies, and streamline execution across the entire stack.

On-Demand Serverless Execution

Run tasks only when needed, eliminating idle resource usage. Quickly spin up and tear down worker nodes to minimize costs and maximize efficiency.

Dynamic Resource Optimization

Allocate CPU, memory, and storage dynamically for each task, ensuring optimal resource usage and stable performance under varying load conditions.

Seamless Data and Command Interactions

Unified Data Access

Access all integrated data sources through a single, OpenAPI-compliant Data API, eliminating the need for custom integrations or manual queries.

Powerful Search & Filtering

Effortlessly query nested relationships and apply complex filters, enabling precise data retrieval and efficient generation of dynamic datasets.

Live, Streaming Command Execution

Run commands remotely and receive continuous, real-time output streams, improving responsiveness and enabling interactive troubleshooting.

Scheduled & Queued Operations

Queue commands for asynchronous processing, schedule periodic tasks, and manage workloads with ease, ensuring reliable and timely execution.

Kickstart your own AI Powered Knowledge Center


We can rapidly work with you to launch new AI powered knowledge centers for internal staff and customers alike for a myriad of use cases leveraging your internal knowledge.

We have a technology stack and streamlined process to set up, scale, and evolve your knowledge centers with ease, and we can get you set up with a base environment on which to evolve in as little as 24 hours and iterate on it as you see fit.

  • Contact us to discuss your project

    Start the process by filling out the inquiry form, providing details about your needs, goals, and existing infrastructure to help us understand your requirements.

  • Tailored Project Planning

    Collaborate with our team to design a customized solution that aligns with your objectives, leveraging modular components that can grow with your organization.

  • Rapid Setup and Onboarding

    Get your system up and running in no time with a quick setup process, intuitive onboarding, and seamless integration into your existing workflows.

  • Continuous Optimization and Security

    Keep your knowledge centers evolving with regular updates, user feedback loops, and advanced security measures to ensure reliability and scalability over time.

Related Software Systems

Personalized Knowledge Centers

AI-optimized and adaptive websites that integrate internal knowledge and user preferences, creating highly personalized knowledge hubs to enhance communication and unlock efficiency, all on a budget and without vendor lock-in.

Integrated Knowledge Management

A comprehensive platform that combines internal documents and web bookmarks, offering a search and summarization interface to empower queries and content generation with an intuitive administrative interface and modular integrations.

Cloud-Based Development Framework

A flexible cloud development environment that streamlines creating and testing cluster applications, unifying local and remote environments to support scalability, security, and seamless production deployment.

Frequently Asked Questions

How does Zimagi handle large-scale data integration?

Zimagi uses Kubernetes and serverless technologies to scale horizontally, handling massive datasets efficiently.

Can I customize data models and workflows?

Yes, Zimagi’s modular framework allows you to plug in and override data models or command structures easily.

Is it possible to process data in real-time?

Absolutely. Zimagi supports both scheduled tasks and on-demand commands for real-time processing.

How secure is my data on Zimagi?

Zimagi integrates robust security measures including role-based access controls and auditing features.

Can I deploy Zimagi on-premises?

Yes, Zimagi’s containerized architecture runs seamlessly on-premises or in any cloud environment.

Does Zimagi integrate with my existing analytics tools?

Zimagi’s API-first approach ensures seamless integration with popular BI and analytics platforms.

What about the learning curve for my team?

Zimagi abstracts complexity with a command-driven interface and unified APIs, reducing time-to-adoption.

Can I automate deployment and updates?

Yes, Zimagi supports CI/CD workflows, allowing you to automate deployments and software updates effortlessly.

How does Zimagi manage scaling and updates?

The controller automates orchestration, ensuring self-managing scalability and smooth updates.

Get Started Today

Unlock the full potential of your data with effortless integration and automated orchestration.

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Integration: Unify your operational data and supercharge your analytics with automated, scalable pipelines.