The platform
Four agents. One operations team. Nothing changes without an approval.
Guardrailed AI agents that detect drift, respond to incidents, triage vulnerabilities and cut cost. Senior engineers approve every change, with an audit trail behind each one.
A free 30-minute demo with an engineer. No commitment.
Meet the agents
Your AI cloud operations team.
Sage AI
Manage multi-environment infrastructure with natural language, portable by default and free of vendor lock-in.
- Infrastructure as code from plain English
- Multi-cloud and Kubernetes
- Drift eliminated
Finly AI
Finly doesn't just report costs. It rightsizes resources and prevents wasted spend before the bill arrives.
- 24/7 cost monitoring and alerts
- Automated rightsizing
- Schedules and commitments
Iris AI
Stop jumping between disjointed tools. Iris manages Datadog, CloudWatch and Grafana from one interface.
- Unified multi-vendor configuration
- Sensible setups, suggested
- Alert noise removed
ClearRisk
An LLM-backed engine that tracks CVEs across your vendors and SBOM, with plain-English impact analysis and automatic triage.
- Real-time CVE correlation
- Automatic triage and escalation
- Dependency blast radius
How it works
Deployment in four steps.
Moving to agent-run operations is gradual and read-only first. Your team keeps shipping throughout.
Describe your environment
Say what you want to build in plain English. Sage translates the request into architecture diagrams and production-ready code.
Deploy compliantly
Every deployment is checked against SOC 2, ISO 27001, HIPAA and regional data sovereignty requirements before anything is provisioned.
Unify monitoring
Connect the tools you already run. Iris centralizes the view, enforces governance and silences the alerts that never mattered.
Scale safely
Finly and ClearRisk watch the live environment around the clock, catching drift, cost and vulnerabilities, with approvals and audit trails on every change.
Trust layer
Continuous compliance. Audit-ready every day.
Compliance tools tell you when a control fails. The platform doesn't let the control fail in the first place.
Always-on enforcement
Policy-as-code guardrails run on every commit, merge and deploy. A control that fails cannot ship.
Segregation of duties
Role-based access and approval workflows mean no single person, and no agent, can push an unreviewed change.
Immutable audit logs
Every plan, approval, apply and revert is recorded and exportable, so you are audit-ready every day rather than once a year.
Frameworks built in
Platform capabilities
Enterprise-grade, from the first account.
Multi-cloud
AWS, Azure, GCP and on-premise infrastructure managed from a single place.
Security and compliance built in
Scanning, compliance checks and automated policy enforcement across the whole stack.
Learns your environment
The agents learn your usage patterns and tune settings over time instead of applying one template to everyone.
Works with
Datadog 
AWS 
Google Cloud 
Azure 
Kubernetes 
Terraform 
Grafana 
Prometheus 
Cloudflare 
Jenkins 
Kong 
Okta The true cost of manual operations
$200K+ a year, and the audit still gets failed.
Scaling software companies spend that on DevOps and still miss outages, juggle fragmented tools and scramble for evidence. The platform replaces the manual version of that work.
The status quo
- A DevOps team costing $200K+ a year doing repetitive manual work
- Five or six tools stitched together with no unified governance
- Compliance evidence scrambled together once a year before the audit
With DevLift
- Four agents working as a 24/7 operations team at a fraction of the cost
- One platform for infrastructure, observability, security and cost
- Immutable audit logs, so you are audit-ready every single day
Sound familiar?
Growing fast, with infrastructure struggling to keep up.
See the agents on your accounts.
Schedule a free demo with an engineer. We'll walk through the four agents on a live environment and agree what a read-only review of yours would cover.
You'll pick a time on the next page.