For teams building AI agents

Production-ready infrastructure for AI agents

Multi-model orchestration, full audit trails, cost tracking, and deployment management. Move your agents from demo to production — without rebuilding from scratch.

No credit card required  ·  Limited early access spots
Live Production Metrics
Executions Today
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Active Agents
Deployed
Clients Managed
API Cost Tracked
Success Rate
Avg Latency

Built for teams shipping with
Claude GPT-4o Gemini Mistral LLaMA MCP

The problem

Why agent demos don't survive production

You got the demo working. The agent answers questions, writes code, books meetings. Then you try to put it in front of real users — and everything breaks.

🔓
No governance layer
Production agents need approval flows, rate limits, and kill switches. Most platforms give you a chatbox and a webhook. When your agent goes rogue at 3am, there's nothing to stop it.
Audit failures
🔒
Vendor lock-in kills flexibility
You build on OpenAI, pricing changes, you're trapped. Or the model gets worse. Multi-model orchestration should be table stakes — instead it requires rewriting your entire stack.
Migration debt
💸
Cost blindness at scale
Your demo cost $0.04 per run. Your production traffic costs $4,000/month. By the time you notice, the bill is already there. Token tracking and cost attribution aren't optional.
Budget overruns

The solution

Everything production
agents actually need

Falcon Builder handles the infrastructure so you can focus on what your agents actually do — not how they run.

01
Multi-Model Orchestration
Route tasks to the right model — Claude for reasoning, GPT-4o for speed, Gemini for multimodal. Switch providers without touching your agent code.
02
Full Audit Trails
Every execution logged with inputs, outputs, model used, latency, and cost. Replay any run. Know exactly what your agent did and why.
03
Deployment Management
Deploy agents to clients in one click. Version control, rollback support, and environment isolation built in. Ship updates without breaking live deployments.
04
Cost Tracking
Per-agent, per-client, per-execution cost attribution. Set budgets, get alerts, and prove ROI. Never get surprised by an API bill again.
05
Client Management
White-label your agent platform. Manage multiple clients, control which agents they access, and track usage per account — all from one dashboard.
06
MCP Integration
Native Model Context Protocol support. Connect your agents to any tool — GitHub, Gmail, Notion, Slack — without writing custom integrations from scratch.

Live Demo

Your command center,
ready on day one

Dark-themed, real-time dashboard. Agents, clients, deployments, and execution feed — all pulling live data from the API.

neosky-ai.polsia.app/dashboard
Overview
Dashboard
Platform
Agents
Clients
Executions
Dashboard Overview
● All systems live
Agents
3
Clients
2
Executions
10
API Cost
$0.24
Agent Status
Scout active
Atlas active
Nexus paused
Recent Executions
Scout $0.03 · 1.2s
Atlas $0.04 · 3.4s
Scout $0.03 · 980ms

AI-native by design

Built for agents, not retrofitted

Most platforms bolted AI onto workflow engines designed for simple integrations. Falcon Builder was built from day one for autonomous agents — governance, orchestration, and audit trails baked in at the architecture level.

Production Readiness Score (Governance + AI-Native)
Falcon Builder MCP + Governed Execution
n8n Open Source + Self-hosted
Make.com Visual Builder
Zapier Integrations Giant

Pricing

Simple, transparent pricing

No setup fees. No surprises. Cancel anytime.

Starter
$49/mo
Deploy your first agents to production. Perfect for indie builders and small teams.
  • Up to 5 AI agents
  • 500 executions / month
  • Full audit trail
  • Cost tracking
  • Email support
Get Started
Enterprise
$499/mo
Enterprise-grade deployment with SLA guarantees and custom integrations.
  • Unlimited everything
  • Dedicated infrastructure
  • Custom MCP integrations
  • SLA guarantees
  • Onboarding & training
Get Started

Ship your agents to production.

Early access is limited. Join the waitlist and get access before the public launch — plus a 1:1 onboarding call with the team.

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