Tools like Zapier and n8n are powerful, but they are static. They can't reason, adapt, or handle exceptions, forcing your team into constant manual oversight and maintenance.
No-code agent builders promise quick wins but hit limits fast: shallow reasoning, brittle prompt chains, limited tool coverage, poor debugging and observability, and constrained versioning/governance—making complex, evolving processes hard to sustain.
Building a truly autonomous, integrated AI workforce internally requires a team of specialized, expensive AI/ML engineers, putting it out of reach for most companies.
Etherion is an agentic platform that provides you with your own private, autonomous AI workforce. It is architected from the ground up to solve the automation gap. Go from a high-level business goal to a complete, multi-step workflow executed by a team of intelligent agents that learn from your feedback and are deeply integrated with your tools.
Automate your core business processes with a digital workforce that scales with you, so you can focus on vision and growth.
Provide your team with a secure,n platform to build and deploy custom, high-performance AI agents without getting bogged down in infrastructure.
Design and deploy intelligent workflows for marketing, sales, and support that are deeply integrated with your existing tools and learn from your team's feedback.
From goal to execution in three simple steps
Start by describing your business objective in plain English. Go beyond simple tasks—assign complex, multi-step goals and provide the Orchestrator with the strategic context it needs.
Your private Orchestrator analyzes the goal, creates a plan, and assembles a team of specialist agents. Watch the entire reasoning process unfold in our transparent, Grok-style execution trace.
The Orchestrator synthesizes the work of its specialist team into a single, cohesive final output that directly achieves your goal. Provide feedback to make your workforce even smarter over time.
Based on my analysis of your top three competitors...
Etherion connects to your tools (Drive, OneDrive, Airtable, Notion, HubSpot, Jira, Slack) using secure OAuth and stores access in GSM. A scheduler triggers a worker that fetches and embeds content into your private BigQuery dataset and Vertex AI vector index. The result is fast, accurate, secure search and Q/A.
You describe a goal. The Platform Orchestrator plans, approves tools, and spins up the right specialists. Each agent follows a Think–Act–Observe loop, and the Orchestrator synthesizes their work into a single result.
Tasks run in the background using Celery and Redis. Jobs persist in the database, workers process them in parallel, and results—including AI-generated assets—are stored in the Repository service with real-time status updates to the UI.
MCP tools connect to third-party systems through OAuth. Tokens are stored securely in GSM. Before acting, agents pass a Confirm Action step. Then calls are made to the right API with scoped credentials.
Every artifact your agents create—documents, datasets, code, and media—is stored in the Repository. Any agent can search, retrieve, and build on prior outputs, so your system compounds in capability over time.
Go beyond our pre-built teams. Design and deploy your own custom, private AI agents and workflows by having a simple conversation with the Orchestrator. It's not a no-code builder; it's an AI that builds for you.
When you first open the platform, you'll also find a handful of small prebuilt agents to try—use them as starters or learning examples.
I need an agent that can screen new job applicants
Agent Blueprint Generated
Our agents don't just think—they act. Through MCP integrations, they can directly interact with your tools and systems.
The first wave of automation was about connecting apps with static, trigger-based workflows. The second wave was about applying AI to specific, vertical tasks like customer support. Etherion is the third wave: a horizontal, agentic platform that allows businesses to build their own secure, intelligent, and autonomous digital workforce, moving beyond simple automation to true operational autonomy.
Strong hard features are implemented. Our current focus is wiring services, production testing, and environment configuration.
The foundationaln infrastructure, the 2N+1 Orchestrator, and the core agentic framework are built and validated.
Core systems are in place (orchestrator, async workers, MCP toolchain, knowledge base, repository). We are wiring services together, validating in production-like environments, tuning configuration, hardening security/observability, and finalizing end-to-end tests.
Following the current hardening sprint, we will be opening the platform to a limited number of initial users.
Etherion was born from a single, powerful insight: the future of AI is not just about building better tools, but about fundamentally changing our relationship with work. As a self-taught, curious, and fast-thinking systems architect, My vision is to empower users to move beyond tedious implementation and focus on what humans do best: high-level strategy and creativity. Etherion is the culmination of this vision A Platform designed not just for coders, but for architects.