Agent deployment, automated

Ship AI agents to production, not to a backlog

Describe your business process. Agentiq builds the agent, deploys it to your cloud, and monitors it. No consulting engagement. No 6-month timeline.

Deploy Your First Agent →
$ agentiq deploy --task "triage inbound support emails"
→ Analyzing task requirements...
→ Architecting agent: email-triage-v1
→ Provisioning infrastructure...
→ Running integration tests... 14/14 passed
→ Deploying to production...
✓ Agent live at agent.yourcompany.com/email-triage
Monitoring active. Dashboard linked.
// The problem

Consulting is a bottleneck disguised as a solution

Every company wants AI agents. The delivery model hasn't changed since 2020: hire consultants, wait months, pay hundreds per hour for manual work that should be automated.

The old way

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3-6 month consulting engagement
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$200-500/hr for manual agent development
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Hand-off when the contract ends
×
Agent breaks at 2am, nobody's watching

With Agentiq

✓
Describe your process, get a deployed agent
✓
Autonomous build, test, and deploy pipeline
✓
Continuous monitoring and optimization
✓
Agent self-heals. Alerts you, not the other way.
// How it works

Three inputs. One production agent.

No frameworks to learn. No infrastructure to manage. No agents to babysit.

01

Describe

Tell Agentiq what your agent should do in plain language. "Triage support emails." "Research competitors weekly." "Qualify inbound leads." That's the spec.

02

Deploy

Agentiq architects the agent, selects the right models, provisions cloud infrastructure, runs integration tests, and deploys to production. Autonomously.

03

Monitor

Full observability from day one. Cost tracking, latency metrics, accuracy scores. The agent reports what it did, not the other way around.

The biggest challenge in AI isn't building agents. It's deploying them.

Agentiq closes the gap between prototype and production. Built by engineers who lived the consulting bottleneck and decided to automate it.

Get Started →