ZBrain Builder
Last updated
Last updated
ZBrain Builder is an all-in-one orchestration platform for enterprise-grade AI solutions that enables organizations to quickly develop, deploy, and manage intelligent custom GenAI agents and applications without requiring extensive developer resources. The platform is designed to democratize AI technology, making it accessible and scalable for organizations of all sizes. ZBrain Builder integrates seamlessly with your existing technology stack, acting as a central hub for all your GenAI-based solutions. As an enterprise-grade GenAI platform, it offers all the necessary tools to build custom generative AI solutions that efficiently handle a wide array of tasks. It goes beyond traditional NLP tasks, offering end-to-end orchestration of AI agents capable of handling complex workflows across functions like legal, HR, finance, sales, marketing, and IT. With built-in data governance, secure APIs, smart orchestration logic, and continuous learning via human feedback, ZBrain empowers enterprises to drive operational excellence at scale.
Advanced knowledge base: ZBrain Builder ingests data from various sources (documents, web URLs, databases) in multiple formats (PDF, TXT, CSV, JSON) and optimizes it at the chunk level for efficient retrieval. It supports various vector stores and is agnostic to the underlying storage provider. This rich knowledge base fuels all ZBrain agents and applications, ensuring they have the information they need to deliver accurate results.
Low-code development with Flow: ZBrain Builder's Flow feature offers pre-built components for the rapid development of complex AI applications. The intuitive interface enables the integration of content from various sources, real-time data fetching, and the incorporation of third-party tools, applications, and conditional logic into workflows, with webhook triggers to build your app’s intricate business logic.
Human in the loop: The platform gathers feedback from end-users on AI outputs and performance, allowing operators to provide corrections and guidance to improve AI model efficiency. This process helps refine the models' output and optimize data retrieval based on human input.
Extended database: ZBrain Builder allows operators to extend their data at the chunk or file level with additional information and update the meta-information associated with data entries. It also offers data summarization and ontology generation capabilities.
Cloud and model agnostic: ZBrain solutions can be deployed on-premise or in the cloud and interact seamlessly with major LLMs. It supports OpenAI’s GPT-4, Anthropic’s Claude, Google’s Gemini, Meta’s Llama-3, and other proprietary or open-source models​ like Gemma and Mistral.
Evaluation suite of tools: ZBrain Builder provides automated test suites for continuous validation of AI agents and applications, implements guardrails to ensure output quality, and uses LLMs to assess app results.
Advanced prompting techniques: It supports advanced prompting techniques, including Zero/Few Shot Prompting, Chain of Thought Prompting, Self Consistency, Retrieval Augmentation Generation, Self Reflection, and Automatic Prompt Engineering. These techniques ensure the highest accuracy in results, delivering robust and reliable outputs for your applications.
APPOps: ZBrain Builder keeps your AI applications running smoothly with its built-in application operations (APPOps) features. It monitors application health and performance by proactively conducting continuous background validation and identifying and resolving issues before they impact users. This ensures your AI solutions are reliable and deliver consistent results.
Agents: ZBrain Builder enables you to create AI agents that automate complex business processes across enterprise functions. The agents can be configured according to specific needs and seamlessly integrate into existing workflows, optimizing repetitive and decision-intensive tasks. With advanced capabilities, AI agents built on ZBrain Builder handle complex processes, provide precise insights, reduce manual effort, and boost productivity, enabling teams to focus on strategic goals and drive operational efficiency and agility. An agent store is also available that allows users to quickly select and deploy pre-built specialized agents, with support for multi-agent coordination to handle complex workflows.
ZBrain Builder integrates data from both private and public sources into its advanced knowledge base, enabling efficient retrievals and enhanced data management through extended databases. Its powerful engine handles critical business logic, data, and user governance, and runtime integrations. ZBrain Builder facilitates low-code agent development through its agents layer, which includes agent collaboration, prebuilt agent library, feedback loop and retrieval optimization. The interface layer provides seamless connectivity via APIs, SDKs, and user-friendly interfaces, enabling easy integration with existing systems. ZBrain Builder supports private enterprise deployment, offering integration with both proprietary and open-source large language models (LLMs).
ZBrain Builder ingests and processes multimodal data, including text, audio, images, and video, from both private and public sources:
A. Private data
These sources contain organization-specific and confidential company information, which is securely accessed for processing. The following sources provide access to private organizational data:
Enterprise apps: Connectors to systems like Salesforce, SAP, and other CRM/ERP platforms.
Business systems: Integrations with core business tools such as Microsoft Office, PDF documents, and Google Workspace, enabling structured and semi-structured data handling.
Data clouds: Seamless connections with data lake and warehouse solutions like Snowflake and Databricks, enabling high-volume, scalable analytics.
B. Public data
ZBrain Builder taps into publicly accessible information from sources such as Google, Yahoo, Bing, and Wikipedia, enriching enterprise insights with external knowledge.
At the core of the platform, the ZBrain Builder enables configuration, orchestration, and management of intelligent workflows, AI agents, and system behavior across the following key layers:
A. Knowledge base
ZBrain Builder has a dynamic and structured knowledge layer for intelligent querying:
Extended DB: Allows expansion and enrichment of the database with additional information for more accurate results.
Retrievals: Indexes and surfaces relevant documents, records, and entities efficiently for fast data retrieval.
Automated reasoning: Extracts and applies rules and variables from the knowledge base to deliver precise, logic-driven answers to user queries.
B. Builder engine
This is the core processing engine enabling:
Business logic & OOTB algorithms: Manages core business rules while providing out-of-the-box algorithms for various functions.
Data & user governance: Enforces secure data handling, access controls, and auditability across users and roles for robust data security and governance.
Runtime integrations: Ensures agents stay connected to live systems and databases for real-time task execution.
C. Agents
The agent layer is the operational backbone where AI actions are defined and executed:
Low-code platform: Simplifies the development of agents with minimal coding, accelerating time-to-market.
Memory: Agents can retain contextual understanding for ongoing tasks or long-term sessions.
Autonomous agents: Execute complex, multi-step tasks through autonomous reasoning and decision-making, enabling end-to-end workflow automation without manual intervention.
Agent collaboration: Multiple agents can interact, delegate responsibilities, and coordinate across complex workflows, enabling scalable multi-agent systems that collaborate to complete tasks more efficiently and intelligently.
Tools & frameworks: Offer developers robust agent development frameworks, reusable utilities, and modular design patterns to accelerate the creation, testing, and deployment of intelligent agents across diverse enterprise use cases.
Prebuilt agent library: Provides an ‘agent store’ where users can explore and deploy pre-built, ready-to-use agents that can be easily customized and configured to fit specific business workflows and requirements.
Real-time feedback loop: Captures user responses and human feedback to improve future agent behavior.
Retrieval optimization: Enhances how agents access and surface relevant knowledge during execution.
D. Tuning layer
The tuning layer focuses on AI solutions' performance and safety. It consists of:
Monitoring: Tracks system performance and model usage in real-time.
Evaluation suite: Provides necessary tools to benchmark agent accuracy continuously and LLM output quality.
Self-improvement: Facilitates autonomous refinement of agents and model prompts over time.
Guardrails: Applies predefined rules and guidelines to guide AI behavior and prevent harmful or biased responses.
ZBrain Builder offers flexible interfaces for both developers and business users. Its interface layer consists of:
APIs: Programmatic interfaces that enable the smooth integration of ZBrain solutions with other enterprise systems.
SDKs: Prebuilt libraries and kits help accelerate the custom development and integration of agents and solutions.
User interface: Intuitive front-end interface allowing users to interact with ZBrain's AI-powered solutions easily.
ZBrain Builder is model-agnostic and supports flexible large language model configurations through:
Private models: Supports seamless integration with private instances of major AI platforms like Google Vertex AI, Amazon Bedrock, Azure OpenAI Service, and Together AI.
Model as a service: Enables integration with cloud-based AI services such as Hugging Face and Groq, enabling access to cutting-edge models.
Proprietary models: Includes specialized, custom models like Microsoft’s Phi-3 and Google’s PaLM 2 for specific use cases.
The cloud compute layer enables ZBrain Builder to harness scalable cloud-based services for tasks like search and document processing, boosting the platform's overall capabilities.
Vector databases: Integration with advanced vector search technologies such as Pinecone, AWS OpenSearch, Vertex AI Vector Search, and Azure AI Search.
Document processing: Support for AI-driven document processing using tools like Amazon Textract, Azure AI Vision, and Google Document AI.
Private cloud deployment: ZBrain apps and agents can be deployed in private cloud environments for added security and control.
Enterprise private deployment: ZBrain apps and agents can be deployed on major cloud providers like AWS, Google Cloud, and Azure, ensuring full data privacy and security while meeting enterprise-specific needs.
Enterprise-ready: Designed for secure, private deployment in enterprise environments.
Efficiency: Streamlines processes through automated data collection, analysis, and content generation.
Customization: Tailors AI solutions to specific business needs, integrating seamlessly with existing workflows.
Operational enhancement: Improves decision-making, operational efficiency, and customer experience.
