Zero-Friction SDK
Install once and call models through Kimss — we handle Foundry routing and billing. You do not deploy your own APIM; Kimss operates the compliance gateway. Active subscription required for agent access.
Secured Enterprise Agent Platform
Every agent.
One secure plane.
Kimss is the enterprise control layer around Azure AI Foundry: govern agents, system prompts, and model routing with tenant isolation, audit-ready telemetry, and Managed Identity — then wire the same Kimss key from your IDE to production without rewriting your stack.
Powered by secure Azure infrastructure — Managed Identity, no static credentials.
platform
Why Kimss?
One key from prototype to production. The same SDK and SPA your team uses in development is the control plane your enterprise audits.
One Gateway. Two Playgrounds.
Lightning-fast text models (Grok, Llama, Mistral, GPT) and full agentic workflows (vector stores, code interpreter, function tools) ride the same Kimss key. Switch by changing one parameter — never by rewriting your stack.
Enterprise Control, Already Wired
Every call is metered and attributed. Profile billing, execution logs for SDK integrations, Redis credit pools, and optional APIM → Log Analytics audit trails. Managed Identity replaces long-lived keys to Foundry.
security
Enterprise standards
Security and tenancy primitives your architecture review can trace to Azure and PostgreSQL. Read Security & architecture →
Azure-Native Security
Secured by System-Assigned Managed Identities. No vulnerable static credentials.
Strict Tenant Isolation
Data and telemetry securely partitioned by tenant at the database layer.
Zero-Retention Execution
We route your agents; we do not store your proprietary prompt data.
customer success
Read the full story
Building a sovereign digital workforce on Kimss.
Modern teams want AI that ships work — reviews code, fixes incidents, drafts content, triages support — with governance: one model gateway, auditable actions, and human approval where it matters.
worksfusion runs a production multi-agent fleet headless on Azure: specialized workers orchestrated by Apache Airflow, cognition through KimssClient, and tools through a self-hosted MCP server — not IDE-bound assistants or scattered provider SDK keys.
Sovereign by design
All model and agent calls flow through Kimss workspaces — no shadow OpenAI or Azure AI clients.
Safe GitOps
Workers open PRs to staging; only the Guardian merges. Production branches are protected at the tool layer.
Workforce that scales
HR hiring packages define new workers as JSON; dynamic workers execute without redeploying per role.
Enterprise-ready ops
Microsoft Entra ID, Key Vault, private PostgreSQL, and human-in-the-loop approval in Slack.
Digital worker fleet
Slack ingress, Kimss cognition, MCP tools, Airflow orchestration.
Production
Slack → agent router
One channel delegates natural language to the right digital worker DAG.
Workers → Kimss + MCP
Reasoning via KimssClient; Git, GitHub, and telemetry via Entra-authenticated MCP.
State + human approval
PostgreSQL holds missions and packages; sensitive actions wait for Slack sign-off.
digital workforce
Meet the AI Digital Team
Specialized agents that orchestrate, scale, secure, measure, and self-heal your Kimss workspace — coordinated through one gateway.
capabilities.json
product
Run the platform from one dashboard
Analytics, orchestration, credit pools, and knowledge — governed in a single control plane.
architecture
How Kimss works
Click on a component to explore the data flow securely routing your requests.
Client Layer
APP
Azure APIM
Gateway
FastAPI Core
Python App
Data Layer
PG & Redis
AI Foundry
Agents
System Overview
Select any stage in the pipeline above to see how Kimss processes, secures, and tracks your AI interactions.
billing
Transparent multi-tenant billing
Azure Monitor and Log Analytics provide immutable, regulation-ready audit trails at the API gateway. Credit pools enforce spend limits per tenant in real time via Redis.
Live Tenant Usage Tracking
Tenant ID: Acme_Corp
Current Token Usage
0 / 5,000,000
PostgreSQL Logged
Redis Cache Enforced
compliance
Built for regulated industries
Kimss is architected on Azure-native compliance primitives you can cite in procurement questionnaires. This is our technical design posture — not legal advice; your counsel validates fit for your sector.
EU AI Act — Article 12
Automatic, immutable AI logs
API Management diagnostic settings feed Log Analytics for gateway-level records. Token metrics use azure-openai-emit-token-metric with per-tenant dimensions for cost and governance dashboards.
GDPR — Data residency
Regional AI processing
Tenant slug maps to the correct Azure AI Foundry region via APIM backends and Named Values — no client-supplied region header. Project paths stay under /api/projects/{tenant}/… for a consistent data model.
Zero-trust
Managed identity to models
Gateway backends authenticate to Foundry with Managed Identity — no long-lived API keys in APIM policies for model traffic. Optional SDK-side PII scrubbing before traffic reaches the gateway.
tooling
Dynamic tool registry
Equip your agents with custom, secure functions. Kimss strictly enforces access control, ensuring agents only call registered backend tools.
get_project_quote
Fetches dynamic pricing for clients
{
"agent_id": "agt_19283",
"action": "execute_tool",
"parameters": { "scope": "enterprise" }
}
"agent_id": "agt_19283",
"action": "execute_tool",
"parameters": { "scope": "enterprise" }
}
get_order_status
Queries live DB for logistics tracking
{
"agent_id": "agt_55421",
"action": "execute_tool",
"parameters": { "order_id": "ORD-882" }
}
"agent_id": "agt_55421",
"action": "execute_tool",
"parameters": { "order_id": "ORD-882" }
}
fetch_audit_logs
Admin tool for compliance reporting
{
"role": "admin",
"action": "telemetry_recent",
"parameters": { "limit": "100" }
}
"role": "admin",
"action": "telemetry_recent",
"parameters": { "limit": "100" }
}
Ship agents your auditors approve.
One Kimss key from your IDE to production — tenant isolation, audit-ready telemetry, and Managed Identity included from the first call.
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