A composable, ISO-compliant infrastructure built for industrial deployment — not hobbyist experimentation.
Every GEENii is composed of four stacked components — each independently swappable, each billable per call.
GEENii uses LangGraph for complex, cyclic agent workflows with built-in self-correction loops. Agents detect their own errors in financial data and molecular analysis, and autonomously retry with refined reasoning — eliminating hallucinations in critical outputs.
GEENii is the first agent OS with payments as a first-class citizen. Agents can autonomously rent skills, pay for API access, and receive payment — all via the HTTP 402 standard and Stripe's Machine Payments Protocol. No human in the loop.
GEENii's compliance architecture is woven into the core, not a post-hoc layer. Every agent action is logged, every decision is auditable, and the entire system is compliant with ISO/IEC 42001 — the international AI management system standard.
Use personal AI assistants for consumer-facing interfaces (WhatsApp, Telegram, web) while GEENii handles the scalable backend orchestration. Get the UX flexibility of consumer tools with the reliability of enterprise infrastructure.
The real power of GEENii isn't a single agent — it's an orchestrator that spins up purpose-built subagents in isolated containers, delegates work, collects results, and tears them down. Smart services, on demand.
Each subagent runs in its own container — separate memory, separate tools, separate permissions. No cross-contamination. No shared state unless you explicitly allow it.
Subagents are created when needed and destroyed when done. Your orchestrator pays only for active compute. Complex multi-step tasks decompose into parallel workstreams in seconds.
Chain subagents into reusable smart services — a data retrieval agent feeding an analysis agent feeding a compliance agent. Compose once, invoke forever, bill per call.
Every container gets exactly the tools and data access it needs — nothing more. Subagents cannot escalate privileges or access resources outside their defined scope.
Every subagent action, decision, and output is traced and logged individually. Debug at any layer of the hierarchy. Full audit trail from orchestrator decision to subagent execution.
Container-native means it runs anywhere containers run — your cloud, your data center, air-gapped environments. Same orchestration model, same API, regardless of infrastructure.
Managed, fully hosted. Automatic updates, built-in redundancy, and global edge deployment. Start in minutes.
Full on-premise deployment. No cloud dependency. Run GEENii inside your own data center with complete data sovereignty.
Completely isolated from the internet. For defense and government use cases where zero external connectivity is required.
# Install via pip pip install geenii # Or with extras for vertical support pip install "geenii[biotech,compliance]"
# agent.py from geenii import Agent, Persona, Skill agent = Agent( persona=Persona("biotech-analyst-v2"), skills=[ Skill("protein-folding"), Skill("pubmed-rag"), ], compliance="iso-42001", payments={"protocol": "mpp", "budget": "$10/day"}, ) # This scaffolds: # ├── agent.py (agent definition) # ├── persona/ (persona config) # ├── skills/ (skill registry) # └── tools/ (tool definitions)
from geenii import Orchestrator # Spin up an orchestrator with containerised subagents orch = Orchestrator( subagents=[ Agent(persona=Persona("data-retrieval"), skills=[Skill("pubmed-rag")]), Agent(persona=Persona("analysis"), skills=[Skill("protein-folding")]), Agent(persona=Persona("compliance"), skills=[Skill("ema-formatter")]), ], deployment="cloud", # or "on-premise" ) result = await orch.run("Analyse compound XJ-417 and generate EMA submission draft") # ✓ Agent live at https://agents.geenii.io/my-agent # ✓ SLA: 99.9% · ISO-42001: verified · MPP: active