Self-Hosted GenAI Cloud Platform

Ultra-low latency. Full control. Deploy your own scalable LLMs and VectorDBs, purpose-built for privacy, performance, and enterprise-grade AI products.

Sub-50ms Vector Search

Deliver instant search experiences with ultra-low latency vector queries optimized for real-time applications and streaming agents.

Built for enterprises needing fast, secure, and scalable AI infrastructure — with vector search, autonomous agents, schema-aware storage, file lineage, and zero-trust controls.
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File Manager with Derivation Graphs

Automatically chunk and embed files (text, audio, images), stored in a defined hierarchy. Track derived content back to original sources with built-in file lineage tracking.

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Python Functions for Agents

Easily register Python functions for agents to call, enabling secure tool use, business logic integration, and dynamic behavior control.

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Agentic Execution Graph

Orchestrate autonomous workflows using a visual or programmatic execution graph that models decision-making and task chaining.

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Zero-Trust Access Control

Enforce fine-grained access policies across agents, files, schemas, and tools. Built-in roles, API key scoping, and audit logs ensure compliance and secure multi-user collaboration.

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Schema-Aware Vector Database

Use a built-in schema manager to define entity types, properties, and filters—enabling clean, queryable, semantically rich vector storage.

AI Platform Pricing & Tiers

Startup
$249/month
Ideal for: Small teams, startups, and early MVPs
Infrastructure:
Single-node Docker deployment
LLM:
Uses external cloud-based APIs (e.g., OpenAI, Anthropic, etc.)
Horizontal Scaling:
Not supported — limited to single-node usage
Enterprise
$1,249/month
Ideal for: Large organizations, internal AI platforms, and production-grade deployments
Infrastructure:
Multi-node Docker architecture for scalability and fault tolerance
LLM:
Full support for self-hosted vLLM-based models as well as cloud APIs
Horizontal Scaling:
Supported — enables scalable workloads across multiple nodes

Features & Highlights

  • Our AI SaaS leverages streaming HTTP and WebSocket endpoints to enable seamless, low-latency voice and text communication with AI.

    These technologies ensure real-time interactions, allowing users to engage naturally with AI-driven systems, whether for live conversations, instant responses, or continuous audio processing.

  • Our AI picks out important details from conversations to remember, so it always keeps key information handy.

    With Vector Search, it can also look back through all past messages to recall anything when needed, making every interaction smarter and more connected.

  • Add multiple highly specialized agents, each with tailored prompts and tools.

    Our system ensures seamless collaboration by automatically directing communication to the most relevant agent, letting them handle tasks efficiently and intelligently.

  • When AI generates a document, every piece of data used is linked to the blockchain, providing a transparent and tamper-proof record of its sources.

    These links allow you to verify the origin of the generated content at any time and confirm its relevance.

    If the underlying data used to create the document is later edited, the blockchain can flag potential discrepancies, helping you identify cases where the generated document might no longer be accurate or up-to-date.

    This system ensures accountability, transparency, and trust in AI-generated content.

Your Starting Point for Isolated Environments

Each integration is a fully isolated environment, purpose-built for your AI workflows. This is not just an external connection—it's your private workspace, designed for total independence and control.

  • Complete Isolation: Every integration keeps its own instructions, functions, schemas, data, logs, files, and analytics entirely separate. This guarantees your work remains secure and tailored to your needs.

  • Dedicated VectorDB Instance: A private database designed for seamless AI operations.

  • Team Collaboration: Add users to your integrations and define security groups to manage access and roles effectively.

Fine-Tune AI Behavior and Agent Flows

Take full control of your AI’s performance and workflow with Instructions.

  • Agent Flow Management: Build a seamless flow of agents to handle complex conversations. Define delegation decisions so the AI routes inquiries to the most relevant agent for the task.

  • Function Permissions: Specify which functions each agent can access, ensuring clarity and precision in your workflows.

  • AI Settings Configuration: Optimize responses by adjusting max tokens to control length, frequency penalty to reduce repetition, presence penalty to manage topic focus, and temperature to balance creativity and predictability.

With Instructions, you have everything you need to tailor your AI’s behavior and design efficient agent interactions that deliver optimal results.

Functions for Ultimate Flexibility

Functions are the building blocks of your AI-powered workflows.

  • Default Functions: Start with prebuilt capabilities from VectorBridge, such as fetching data from Google Drive or other integrated sources, ensuring you can hit the ground running.

  • Custom Functions: Take full control by defining your own functions to:

    • Search VectorDB: Seamlessly query your data for precise results.

    • Summarize Information: Extract key insights with ease.

    • Run Custom Python Code: Build and execute personalized scripts to meet your specific needs.

With Functions, you can combine built-in tools and your own logic to design workflows tailored to your unique goals, ensuring unparalleled flexibility and power.

Smart Schema Management with Smart Chunking

Design and evolve your database schema with precision and efficiency.

  • Custom Table Creation: Easily create new tables to organize your data effectively.

  • Properties and Filters: Define properties and add filters to tailor data retrieval. Each filter dynamically generates indexes to support fast and efficient queries.

  • Automatic Chunk Schema: Whenever you add a new schema, a corresponding Chunks schema is automatically created to streamline data processing and storage.

  • Change Management: All updates—whether adding filters, properties, or schemas—are tracked in a changeset. You have full control to apply or discard these changes as needed.

With intelligent schema management and chunking, you can ensure your database evolves to meet your needs while maintaining performance and scalability.

Organize Your Files with Ease

The File Manager securely stores and manages file chunks in your VectorDB, ensuring AI efficiently accesses stored knowledge.

  • Organized Storage: Create folders, tag files, and maintain order.

  • Controlled AI Access: Set access rules based on tags or folder hierarchy.

  • Uniqueness Check: Avoid duplicates and store either extracted knowledge or full files.

  • Flexible Management: Rename, star, delete, or move files with ease.

Take full control of how your data is stored, organized, and accessed.

Comprehensive Logs and Tracebacks

Debug and monitor your AI requests with detailed logs.

  • Request Logs: Access a complete record of every API request, including input and response details.

  • Tracebacks: View detailed tracebacks to identify and resolve issues quickly.

  • Transparency and Control: Gain insights into how your AI processes requests and handles errors.

With robust logging, you’ll have the tools needed to ensure smooth operations and address any issues with confidence.

Chat History and Notifications

Stay informed and in control of your AI interactions.

  • Real-Time Notifications: Get instant updates in the admin UI whenever someone interacts with your AI via the API. Monitor usage as it happens.

  • Detailed Chat History: Access records of every conversation, including token usage, functions called, and arguments sent to the AI.

With real-time notifications and in-depth history, you’ll have full transparency over how your AI is being used, empowering you to optimize performance and manage resources effectively.

API Hub

Python Client

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