📊 MIT: 95% of enterprise AI pilots fail in production

Your AI Agent Works in Dev.
Let's Make It Work in Production

Building an AI agent prototype is easy. Running it 24/7 with proper model fallbacks, monitoring, security, and cost controls? That's where 95% of projects stall. We take your prototype and deploy it on production infrastructure — no fluff, no agency markup.

See Plans → Get Production Readiness Checklist
95%
of AI pilots fail at production (MIT)
40%+
of agent projects canceled (Gartner)
4-12
months to production — we do it in days
1
tool: Hermes Agent, production-proven

Where production kills your agent

The gap between prototype and production is where AI projects go to die. Here's what breaks:

  • No model fallback — one API outage, your agent is dead
  • Zero monitoring — you don't know it's broken until a customer complains
  • No security hardening — exposed API keys, open ports, injection vulnerabilities
  • Cost runaway — prototype is cheap, production at scale burns money without guardrails
  • Manual maintenance — cron jobs fail, dependencies rot, sessions expire overnight
  • Lack of governance — no audit trails, no cost controls, no error recovery

Your agent runs like a ship

  • Multi-model fallback chain — if GPT is down, your agent auto-switches to Claude or Gemini
  • Full observability — real-time traces, cost tracking, alerting to Telegram/Slack/email
  • Security locked down — firewall, fail2ban, credential vault, OWASP Top 10 for agents
  • Cost controls — per-agent budgets, token tracking, auto-pause on overspend
  • Auto-recovery — crashed agents restart, failed tasks retry, sessions persist
  • Comprehensive governance — audit logs, versioned configs, role-based access

Production deployment stack

Every piece of infrastructure your agent needs to run 24/7 without breaking.

🔄

Multi-Model Fallback

Model routing with automatic fallback chain. If your primary provider has an outage, your agent seamlessly switches to backup models. Zero downtime.

📊

Real-Time Observability

Self-hosted Langfuse + Grafana. Track every token, every tool call, every error. Cost dashboards, latency alerts, and failure diagnostics in one place.

🔐

Security Hardening

Firewall configuration, fail2ban, credential vault with encrypted storage, prompt injection guards, tool access controls, and automated vulnerability scanning.

💰

Cost Control Suite

Per-agent spending limits, token budgets, model-tier restrictions (use cheap models for simple tasks), auto-pause on budget breach, and weekly cost reports.

🛠️

Tool & MCP Configuration

Production-grade tool setup: API gateways, rate limiting, retry logic, idempotency, credential rotation. MCP servers deployed and secured.

Cron & Scheduling Engine

Reliable cron-based agent scheduling with failure notifications, retry policies, and concurrency limits. Your agent runs on schedule, every time.

📋

Governance & Audit

Full audit trail of every agent action. Version-controlled configs, role-based access control, change logs, and compliance reporting.

🔁

Auto-Recovery & Monitoring

Automatic restart on crash, task retry with exponential backoff, session persistence across restarts, and 24/7 health monitoring with Telegram/Slack alerts.

Deployment plans

One-time setup + managed monthly. No long contracts. Your keys, your data, your infrastructure.

Starter

$997 setup + $497/mo

For solo founders with one production agent.

  • Single agent deployment on your VPS
  • Multi-model fallback (2 providers)
  • Basic monitoring dashboard
  • Security hardening
  • Cost controls & alerts
  • 48-hour deployment
  • 1-hour onboarding call
Deploy Starter

Enterprise

$3,997 setup + $1,997/mo

For businesses with custom agent infrastructure needs.

  • Unlimited agents
  • Everything in Growth
  • Custom agent architecture design
  • Self-hosted infra (your cloud/colo)
  • SLA-backed uptime guarantee
  • 24/7 managed operations
  • Monthly strategy & optimization
  • Custom integrations
  • Dedicated support engineer
Contact Sales

⚡ All plans include deployment on your infrastructure — your keys, your data, your control.

How deployment works

From prototype to production in 4 phases — no black box, no handoff gaps.

1

Discovery Call

30-min call to understand your agent, its dependencies, target infrastructure, and production requirements. We send you the readiness checklist first.

2

Deployment

We deploy your agent with full production stack: model routing, monitoring, security, cost controls, cron scheduling, and governance. On your VPS or ours.

3

Hardening

Load testing, failure scenario simulation, security audit, cost optimization. We find every weak point and fix it before you go live.

4

Go Live + Handoff

Your agent runs in production. You get the dashboard, alerts, runbooks, and a 1-hour walkthrough. Ongoing managed support included in monthly plan.

Free Checklist

Know exactly where your agent will fail in production — before you deploy.

📋 Agent Production Readiness Checklist

20-point assessment across 4 tiers: Model Fallback Strategy, Security & Access, Monitoring & Cost Controls, Error Handling & Recovery. Score your prototype and get a concrete action plan to production-readiness. Enter your email and get it instantly.

Configure model fallback chain (min 3 providers)
Implement credential vault with encryption
Set up cost tracking per agent + budget alerts
Deploy monitoring dashboard (Langfuse/Grafana)
Configure auto-recovery on failure
Audit tool permissions & access controls

Frequently asked

Do I need to already have an AI agent built? +

Yes — this service is for deploying existing prototypes into production. If you don't have an agent yet, start with our Agent Setup Service. We take your working prototype (even if it's a notebook or proof of concept) and make it production-hardened.

What infrastructure do I need? +

A VPS or cloud server. We deploy on your existing infrastructure — no vendor lock-in. If you don't have a server, we can recommend specs based on your agent's resource needs and help you set one up.

Which AI providers do you support for model routing? +

All major providers: OpenAI, Anthropic (Claude), Google (Gemini), xAI (Grok), Meta (Llama via Together/Fireworks), and any OpenAI-compatible endpoint. Our fallback chain supports up to 6 providers with automatic failover.

What happens when something breaks? +

Our monitoring stack detects failures within 30 seconds. The auto-recovery system retries with exponential backoff. If the issue persists, you get a Telegram alert. Managed plans include our team investigating and fixing within 4 hours.

Can I cancel anytime? +

Yes. Monthly plans have no long-term contracts. You keep the deployment — we provide a handoff document and decommission our management layer. Your agent stays running on your infrastructure.

Your Agent Works in Dev.
Let's Get It to Production

Stop leaving money on the table with a prototype that never ships. 95% of pilots fail — don't be one of them. Book a 30-min deployment call and we'll have your agent running in production within 48 hours.

Book Deployment Call →