Zenera Products
A comprehensive suite of tools and infrastructure for building, deploying, and governing enterprise AI agents at scale.
The Zenera product suite provides everything enterprises need to move from AI experimentation to production-grade autonomous agent deployments. Each product is designed to work independently or as part of the integrated platform, giving teams flexibility to adopt at their own pace.
"From SDK to deployment, Zenera's product suite eliminates the undifferentiated heavy lifting of building enterprise AI agent infrastructure."
Product Overview
6 products engineered for the full lifecycle of enterprise AI agent development.
Zenera SDK
Transform static enterprise applications into AI-Native Systems
Zenera Studio
The unified IDE for engineering autonomous agents
Zenera Plug-ins
Self-Coding Agent architecture for system integration
Zenera Helm Charts
Production-grade deployment for any Kubernetes environment
Zenera Labs
The innovation engine for next-generation agentic intelligence
Zenera GitHub
Central hub for developer ecosystem and GitOps governance
Zenera SDK
Overview
Zenera SDK transforms static enterprise applications into AI-Native Systems so that new features and interfaces can be In-App self-Coded. By providing a comprehensive Model Abstraction Layer, it decouples application logic from specific inference models, allowing for dynamic routing and seamless model hot-swapping.
The SDK facilitates the runtime synthesis of interactive user interfaces -- dashboards, forms, and visualizations -- directly within client applications, transforming ephemeral chat interactions into persistent, data-bound tools. With built-in OpenTelemetry hooks, it ensures every agent action is fully observable, secure, and context-aware, enabling "In-Product Experts" that evolve with user needs.
Key Highlights
Comprehensive Model Abstraction Layer
Dynamic routing and seamless model hot-swapping
Runtime synthesis of interactive UIs
Built-in OpenTelemetry observability hooks
In-Product Experts that evolve with user needs
Transform static enterprise applications into AI-Native Systems
Zenera Studio
Overview
Zenera Studio is the unified Integrated Development Environment (IDE) that can be used to engineer autonomous agents. It replaces fragmented playgrounds with a robust workspace for authoring, debugging, and governing complex agent swarms.
Studio features AI-Assisted Authoring to generate system prompts and schemas from natural language, Trajectory Visualization to predict and prevent infinite loops or misalignments before deployment, and a Live Debugger for step-through inspection of probabilistic reasoning chains. Fully integrated with Git-based version control, Studio ensures that agent development adheres to strict software engineering standards, enabling reproducible, audit-ready AI deployments.
Key Highlights
AI-Assisted Authoring from natural language
Trajectory Visualization for loop and misalignment prevention
Live Debugger for probabilistic reasoning chains
Git-based version control integration
Reproducible, audit-ready AI deployments
The unified IDE for engineering autonomous agents
Zenera Plug-ins
Overview
Zenera Plug-ins redefine system integration through a Self-Coding Agent architecture that eliminates the reliance on static, brittle tool registries. Utilizing Runtime Code Synthesis, Zenera Plug-ins allow agents to dynamically analyze API documentation, reverse-engineer legacy protocols (including SOAP and Mainframe), and generate secure, sandboxed integration code on the fly.
Fully compatible with the Model Context Protocol (MCP), this engine ensures agents can connect to any system, modern or legacy, quasi instantly. The platform's "Learning Loop" persists successfully synthesized tools, creating a bespoke, ever-growing integration library tailored specifically to the enterprise's unique IT landscape.
Key Highlights
Runtime Code Synthesis for dynamic integration
Legacy protocol support (SOAP, Mainframe)
Model Context Protocol (MCP) compatibility
Secure sandboxed code execution
Learning Loop for ever-growing integration library
Self-Coding Agent architecture for system integration
Zenera Helm Charts
Overview
Zenera Helm Charts provide the blueprint for Zenera Labs, enabling the production-grade deployment of the platform's complex infrastructure into any Kubernetes environment. These charts automate the provisioning of critical dependencies, including the Temporal durable execution engine, LakeFS transactional memory, and OpenSearch vector databases, ensuring high availability and fault tolerance.
Designed for flexibility, they support diverse deployment models ranging from local development via Docker Compose to secure, Air-Gapped clusters in regulated data centers, and on-premises and in the cloud. With built-in support for multi-tenancy, namespace isolation, and RBAC, Zenera Helm Charts empower enterprises to maintain complete control and compliance over their AI infrastructure.
Key Highlights
Automated provisioning of Temporal, LakeFS, OpenSearch
Docker Compose to Air-Gapped cluster support
Multi-tenancy and namespace isolation
RBAC for enterprise compliance
High availability and fault tolerance
Production-grade deployment for any Kubernetes environment
Zenera Labs
Overview
Zenera Labs serves as the platform's innovation engine, incubating the advanced research and experimental capabilities that drive the next generation of agentic intelligence. It is the home of breakthrough technologies such as the Trajectory Prediction Engine, which simulates agent swarm behaviors to prevent misalignment, and the Multimodal Semantic Memory Index, which enables agents to reason over complex structures like engineering blueprints and CAD files.
Labs also drives the Integrated Fine-Tuning Pipeline, utilizing Direct Preference Optimization (DPO) to turn operational traces into self-improving models. These capabilities bridge the gap between theoretical AI research and reliable enterprise utility, ensuring the platform continuously evolves toward true autonomy.
Key Highlights
Trajectory Prediction Engine for swarm simulation
Multimodal Semantic Memory Index
Integrated Fine-Tuning Pipeline with DPO
Self-improving models from operational traces
Bridge between AI research and enterprise utility
The innovation engine for next-generation agentic intelligence
Zenera GitHub
Overview
Zenera GitHub serves as the central hub for the platform's developer ecosystem and the foundation for its GitOps-driven governance. It hosts the source code for the Zenera SDK and Zenera Helm Charts, providing transparent, version-controlled access to the platform's core infrastructure artifacts.
Beyond distribution, Zenera integrates natively with GitHub to professionalize agent engineering: every artifact created in Zenera Studio -- from system prompts to workflow definitions -- is automatically versioned, enabling teams to manage agent behaviors using standard pull requests, diffs, and rollbacks. Furthermore, by leveraging the Model Context Protocol (MCP), Zenera agents can securely interact with enterprise repositories to automate complex software tasks, such as issue triage and code synthesis, effectively treating the codebase as a dynamic, agent-accessible resource.
Key Highlights
Source code for SDK and Helm Charts
Git-based versioning of all agent artifacts
Standard PR, diff, and rollback workflows
MCP-powered repository automation
Issue triage and code synthesis capabilities
Central hub for developer ecosystem and GitOps governance
Ready to explore the Zenera platform?
See how Zenera's product suite can transform your enterprise AI strategy -- from development to production deployment.