The Platform That Builds AI Agents
Stop buying agents. Start building them.
The Enterprise AI Problem, Solved
Every enterprise has the same question: “How do we turn AI from a toy into infrastructure?”
Today’s AI agents are either powerful but ungoverned, or polished but locked in someone else’s cloud. You adapt to their limitations, work around their architecture, and hope their roadmap aligns with yours.
Zenera takes a fundamentally different approach.
Zenera is an enterprise platform powered by a Meta-Agent — an AI that designs, builds, deploys, and evolves complete multi-agent systems tailored to your business. You describe what you need. Zenera builds it. Production-grade. On your infrastructure. Under your control.
"Other platforms give you an agent. Zenera gives you a factory that creates them."
How It Works
Describe
"I need a system that monitors our supply chain, detects anomalies, generates corrective actions, and gets approval from operations before executing."
Generate
The Meta-Agent designs the complete architecture — specialized agents with defined roles, system prompts, tool integrations, handoff logic, durable workflows, and UI components — all verified for consistency before a single line runs in production.
Deploy
Deploy anywhere: your private cloud, an air-gapped data center, or a developer’s laptop. Your data never leaves your network.
Evolve
"Add a Slack notification when anomalies exceed the threshold." The system is regenerated, verified, and hot-swapped — no downtime, no manual rewiring.
What You Can Build
Zenera is not a single-purpose tool. It is the foundation for every AI capability your enterprise needs.
Your Own AI Developer Assistant
A coding agent that knows your monorepo, your CI/CD pipeline, your standards — and never sends code off your network.
Your Own Deep Research System
Private research agents that search your knowledge bases, cross-reference sources, and produce cited reports — entirely on-premise.
Your Own Application Generator
Business users describe apps in natural language. Zenera generates full-stack applications connected to live enterprise data.
Autonomous Operations Center
Multi-agent systems that monitor, diagnose, remediate, and escalate — self-healing infrastructure that runs 24/7.
Compliance Autopilot
Agents that track regulations, map requirements to controls, generate audit evidence, and maintain immutable compliance trails.
Domain-Specific AI Colleagues
One AI per department — Legal, Finance, Engineering, HR, Procurement — each fine-tuned on your data and governed by your policies.
Why Enterprises Choose Zenera
Complete Data Sovereignty
Your data stays on your infrastructure. Period. Deploy on any cloud, on-premise, or in an air-gapped environment. No SaaS dependency. No vendor lock-in. No data leaving your perimeter.
Governance Built In, Not Bolted On
Role-based access control, immutable audit logs, approval workflows, and end-to-end traceability are not add-ons — they are the platform’s foundation. Every agent decision is logged with full reasoning chains.
The Meta-Agent: A Compiler for AI Systems
Multi-agent systems built by hand are fragile — prompt contradictions, handoff loops, semantic drift. The Meta-Agent treats system design as a verification problem. It detects inconsistencies, simulates execution paths, and proves coherence before deployment.
Self-Coding Integration
Most platforms depend on pre-built connectors or MCP servers. Zenera agents can synthesize integration code at runtime — connecting to legacy systems, adapting to API changes, and composing multi-step operations that no static tool catalog can express.
Observable by Default
Every agent execution produces a structured trajectory — a complete, analyzable record of decisions, tool calls, handoffs, and outcomes. The Meta-Agent uses trajectories to detect drift, optimize performance, and continuously improve deployed systems.
Elastic Compute Scaling
Move beyond local execution bottlenecks. Zenera’s distributed architecture allows agents to scale horizontally across global regions, dynamically allocating compute resources to handle thousands of concurrent agentic workflows without latency degradation or manual orchestration.
Own the Model, Own the Security
When you call a hosted AI API, every prompt, every document, every customer record travels to infrastructure you don’t control. The model provider sees your data. Their employees can access it. Their subprocessors store it. A single breach exposes everything.
Open-weight models eliminate this risk entirely.
With models like DeepSeek, Qwen3, Kimi, and Llama running on your hardware, nothing leaves the premise:
- Zero data exfiltration — No tokens are transmitted to third-party APIs. Prompts, responses, and embeddings stay on your network.
- No vendor access to your data — The model provider cannot see, log, or train on your interactions. You own the weights. You own the inference.
- Air-gap deployment — Run in fully disconnected environments — defense, critical infrastructure, classified workloads — where external connectivity is forbidden.
- Regulatory compliance by architecture — HIPAA, GDPR, SOC 2, ITAR — compliance is not a vendor promise. It is an architectural fact: the data never leaves.
- No training data leakage — When you fine-tune open models on proprietary data, the resulting weights are yours. No risk of your domain knowledge appearing in another customer’s model.
- Full auditability — Every inference is logged, traced, and attributable within your own observability stack. No reliance on vendor-provided audit reports.
"Security is not a feature toggle. It is a deployment decision. If the model runs on your hardware, your data stays on your hardware. Period."
Zenera makes this practical: the Meta-Agent routes tasks between open models running on-premise and frontier APIs when needed — with full control over which data touches which model.
Zenera vs. The Market
| Dimension | Open-Source Agents | Managed Agent SaaS | Vertical AI Products | Zenera |
|---|---|---|---|---|
| What you get | One autonomous agent | One research agent | One domain agent | A factory that builds agent systems |
| Multi-agent | Manual orchestration | Fixed internal | Single agent | Generated per use case |
| Data sovereignty | Full (ungoverned) | None (cloud) | Varies | Full (governed) |
| Governance | None | SaaS-dependent | Vendor-dependent | Native RBAC, audit, traceability |
| Integration | Hand-coded | Pre-built connectors | Pre-built | Self-coding + MCP |
| Customization | Write code | Configuration | Limited | Meta-Agent generates everything |
| Deployment | Self-hosted | Cloud only | Varies | Anywhere |
Built for the 2026 Enterprise AI Stack
Zenera is architected around the technologies defining enterprise AI today.
Secure Execution Sandbox
Every piece of self-generated code runs in an isolated, containerized sandbox with strict resource limits, static analysis, and a full audit trail — from intent to execution.
Model Context Protocol (MCP)
Model-agnostic architecture lets you swap between open-weight models (DeepSeek, Qwen3, Kimi, Llama) and frontier models (GPT-5, Claude, Gemini) without code changes. Fine-tuned domain models integrate seamlessly alongside them.
Self-Coding Beyond MCP
When an MCP server doesn’t exist (and for most legacy systems, it never will), Zenera agents generate their own integration code, validate it in a sandbox, and execute it — no pre-built connector required.
Durable Workflows
Temporal-backed execution guarantees that agent workflows survive infrastructure failures. State is persisted at every decision point.
Transactional Data
LakeFS-backed atomic operations ensure agents cannot corrupt shared datasets.
Graph-Grounded Memory
Move beyond naive vector search. Zenera integrates a native GraphRAG layer that combines vector embeddings with deterministic knowledge graphs. This gives agents deep, relationship-aware context of your enterprise data, virtually eliminating hallucinations in complex domains.
Who Zenera Is For
Enterprise Architects
Designing AI strategy across departments and use cases.
Engineering Leaders
Who need governed, observable AI systems — not black-box SaaS.
Operations Teams
Building self-healing infrastructure and intelligent automation.
Regulated Industries
Finance, healthcare, defense, energy — where data sovereignty, auditability, and compliance are non-negotiable.
Product Teams
Embedding AI-powered capabilities into customer-facing products with multi-tenant isolation and cost attribution.
AI Platform Teams
Providing internal developers with a secure, standardized, and scalable infrastructure to build and deploy agentic workflows without reinventing the wheel.
The Vision
Zenera is not competing with AI agents. It is the platform that creates them.
Every department gets its own AI colleague. Every workflow gets its own agent system. Every integration gets solved — whether the target system has an MCP server, a REST API, or a 20-year-old SOAP endpoint.
The Meta-Agent meets you where you are: business users describe what they need in natural language; engineers inspect, refine, and extend the generated systems; compliance teams audit every decision. One platform. Every role. Every use case.
Ready to Build Your AI Agents?
See how the Meta-Agent designs, deploys, and evolves production-grade agent systems on your infrastructure.
Request a Demo