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Anyone can build
Business analysts use the no-code wizard. Engineers use the full IDE. Both produce the same governed agent. No skill gap left behind.
Ready to get started?
Deploy sovereign AI on your infrastructure - in weeks, not months.
Studio · Agent build surface
Five ways to build - from describing what you need in plain English to a full IDE. Every agent runs on the same governed runtime. One-click publish to employees. Full source-code ownership.
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Business analysts use the no-code wizard. Engineers use the full IDE. Both produce the same governed agent. No skill gap left behind.
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Every agent runs through guardrails, eval gates, and governance before reaching employees. No unvetted agents in production.
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GPU workspaces, fine-tuning, app deployment, storage - all within admin-set quotas. No tickets. No role escalation. No waiting.
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Full source-code export on any agent. Portable JSON config. No vendor lock-in on agent logic. You built it, you own it.
A business analyst shouldn't need to learn Python. An engineer shouldn't be limited to a form wizard. Five build paths for five personas - all producing the same governed agent.
Recommended
Describe your agent in plain English. AI generates the full configuration - model, tools, knowledge, guardrails.
All five paths produce the same output - a governed NAT agent package. Same guardrails, same observability, same governance.
I've generated a configuration for your HR assistant:
Studio lives at /studio. Same sidebar, every build path. Below: agent inventory with real status, the conversational AI Builder, and the Workflow Designer canvas with 13 node types. Code Builder and BYOA Portal use the same chrome - skipped here for space.
Studio
Sarah Chen
Acme · admin
Build
Components
Optimize
Resources
My Agents
47 agents · 5 build paths · 38 published · 6 draft · 3 evaluating
| Agent | Path | Version | Model | Knowledge | Tools | Modified | Calls |
|---|---|---|---|---|---|---|---|
HR Policy Assistant PUBLISHED | GUIDED | v0.7 | Claude Sonnet 4.5 | 3 | 2 | 12m ago | 4,218 |
Refund Triage PUBLISHED | WORKFLOW | v1.3 | GPT-4o | 2 | 4 | 1h ago | 1,842 |
Customer Support v2 DRAFT | AI BUILDER | v2.1-candidate | Claude Sonnet 4.5 | 4 | 3 | 3h ago | 0 |
Sales Pipeline PUBLISHED | GUIDED | v0.4 | GPT-4o | 1 | 2 | yesterday | 982 |
Legal Doc Review PUBLISHED | BYOA | v0.2 | Claude Opus 4.7 | 5 | 1 | 2 days ago | 412 |
IT Helpdesk EVALUATING | CODE | v1.8-candidate | Claude Sonnet 4.5 | 2 | 5 | 5h ago | 0 |
Showing 6 of 47 agents · click any row for the full version history, eval results, and audit log
/studio/* in your sandbox today: real sidebar with Build/Components/Optimize/Resources, agent inventory with all five build paths, conversational AI Builder with iterative config preview, and Workflow Designer canvas with the real 13 node types across Structural, Agent, Tool, and Control Flow categories.No agent reaches employees without passing evaluation. Build in dev, test in staging, promote to prod only when quality scores pass the threshold. Rollback to any version instantly.
Dev
Build freely
No gates. Experiment with prompts, tools, and knowledge sources.
Test
Eval gate · 0.80+
Must pass RAGAS, safety, and trajectory evaluators before promotion.
Stage
Red-team gate
Simulated attacks - prompt injection, jailbreak, policy violations.
Prod
Immutable version
Zero-downtime hot-reload. Roll back to any previous version instantly.
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7 built-in evaluators
RAGAS faithfulness, relevancy, context precision, context recall, trajectory eval, safety check, and LLM-as-Judge. Custom evaluators supported.
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Promotion gates
Agents must score above your quality threshold to promote from dev to test, and test to prod. Blocked automatically if they fail.
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Immutable versions with rollback
Every publish creates an immutable version snapshot. Roll back to any previous version with one click. Zero-downtime hot-reload.
Developers never leave Studio. Launch workspaces, submit fine-tuning jobs, deploy apps, and manage storage - all self-service within quotas set by admins. No role escalation needed.
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NVIDIA MIGLaunch JupyterLab, VS Code, or RStudio with GPU allocation. Persistent storage. Distributed computing with Spark, Dask, and Ray.
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LoRA · QLoRASubmit LoRA and QLoRA jobs within team budget. View runs and metrics in MLflow. Browse the model registry. Deploy fine-tuned models directly to agents.
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One-clickDeploy Streamlit, Gradio, Dash, FastAPI, Flask, or React apps directly to Workroom or as standalone APIs. No DevOps involvement.
Production conversations feed evaluation. Evaluation feeds optimization. Optimization feeds better agents. A continuous improvement loop that runs automatically.
Production trace capture
Every conversation, tool call, and agent decision is captured. Quality scores computed automatically. Regression alerts when scores drop.
Prompt Optimizer
Automated prompt refinement via grid search. Jointly optimizes prompt wording, model selection, and temperature for the best quality-to-cost ratio.
Red teaming
Simulate adversarial attacks against your agents before deployment. Prompt injection, jailbreak attempts, policy violations - tested automatically.
NAT is the default runtime. But if your team already builds with LangGraph, CrewAI, or Google ADK, import your agents and gain guardrails, governance, and observability on import. No rewrite needed.
Five framework adapters. One governed runtime. Every agent treated equally regardless of how it was built.
“Our team had agents in LangGraph and CrewAI. We imported them into Katonic in an afternoon and immediately got guardrails, eval, and audit trails we'd been building in-house for months.
See the AI Builder, Workflow Designer, and eval gates in a live 30-minute demo tailored to your stack.