[Frontier Self-Healing Ops Platform]
Frontier investigation agentsautomate 87%of engineer effort.
Agents investigate every issue and propose the fix. Your engineers set intent and approve. That is a self-healing cloud.
Human in controlCheckout latency spike
- Cause
- DB pool pinned to the old primary after failover
- Fix
- Rotate pool, max_pool 20 to 60, verify p99
Trusted by cloud teams and ecosystem partners
[The work behind every alert]
Your cloud moves fast.Investigation slows your team down.
01The manual work
Investigate
An alert is only the start. Engineers still gather logs, trace changes and piece together what went wrong.
02The agent handoff
Fix ready
Frontier agents connect the evidence, find the root cause and prepare a fix for your team to review.
03Your engineers’ role
Approve
Set the outcome and the boundaries. Review the proposed fix and decide what reaches production.
[Frontier Investigation Agents]
Agents investigate and propose. Your engineers set intent and approve.
From the first signal to an approved fix, CloudThinker brings your operational context into one investigation. Here is how your cloud heals with your team in control.
01Set intent and context
Define what healthy looks like. Connect the tools, systems and runbooks your team already uses.
02Our agents investigate
Frontier investigation agents
They correlate your signals, trace the change that broke things, find the root cause and draft the fix.
87%
of engineer effort automated
03You approve the fix
- Root cause found
- Fix drafted with a verification plan
- You approve, then it is applied
SREGym benchmark
The highest score on SREGym for incident investigation.
| # | Agent | Model | Diagnosis | Mitigation | End to end |
|---|---|---|---|---|---|
| 1 | CloudThinker Resolve | CloudThinker Harness + GPT-6 Astra | 100% | 100% | 100% |
| 2 | CloudThinker Resolve | CloudThinker Harness + Claude Opus 5 | 95.2% | 90.0% | 90.0% |
| 3 | Codex | GPT-5.6 Sol | 95.2% | 85.7% | 81.0% |
| 4 | Claude Code | Claude Opus 5 | 92.1% | 82.5% | 76.2% |
| 5 | Codex | GPT-5.6 Terra | 85.7% | 79.4% | 69.8% |
| 6 | Codex | GPT-5.6 Luna | 87.3% | 79.4% | 68.3% |
[Resolve]
A root cause. A proposed fix. Your call.
See what happened, why it happened and what the agents recommend. Review the fix and verification plan before approving a production change.
Explore ResolveHigh severity errors observed in AWS/ApplicationELB service
HighAPIOccurred 1d ago
Current assessmentInferredRoot cause identified in 5 min
The 12 ELB 502s at 02:23Z came from the HPA scale-down of backend pod checkout-api-7d9f at 02:22:35Z. Its port was refusing connections, but the ALB was still sending it traffic, because checkout-api has no ALB readiness gate.
How the agent got here
Trigger
HPA scales backend 6 to 5, kills pod at 02:22:35Z
Root cause
Backend pods lack ALB readiness gate
Impact
12 ELB 502s and 6 target connection errors
Impact
Storefront returns 5xx in the same minute
[The Platform]
Frontier Self-Healing Ops Platform
Specialist agents share context across AWS, Azure, GCP, and Kubernetes. Your team sets the intent, permissions and approval policies. Every investigation and action leaves a complete audit trail.
Your intent guides the work
Define the outcome, scope and approval rules before agents act.
One shared memory
Investigation context and approved resolutions become reusable operational knowledge.
Deploy anywhere
Start in our cloud, procure through AWS Marketplace, or run it inside your own perimeter.
[Outcomes]
From reactive to proactive.In your first quarter.
Agents take first response and root cause. You turn every fix into an automation, so the same problem never pages you twice.
- −87%
- Uptime: time to resolve incidentsResolve
- 20–40%
- Cost: of cloud spend recoveredOptimize
- 4.2 days
- Security: to close critical flaws, against a 54.8-day industry meanCyber
- 40% → 10%
- Operations: of team time spent on routine workAutomation
Customer-reported results in their first quarter. Security baseline: Edgescan 2026 Vulnerability Statistics Report, high and critical application flaws.
[Customers]
See how teams put agents to work.
Put AI code review on live merge requests at roughly 97% precision, catching every defect observable in the code before human review or QC.
Built three-region infrastructure and automated SOC 2, HIPAA, and GDPR controls in four weeks — reducing operations workload by 80% while maintaining 99.9% uptime.
Automated 80% of daily operations and reduced AWS spend by 30%, with continuous, auditable controls.
Applied CloudThinker across multi-cloud and Kubernetes, reaching 98.4% bug detection on AI-assisted pull requests and reducing incident noise by 95%.
[Trust and control]
Agents do the work.Your team keeps control.
- You approve every change
- Agents propose. Nothing touches production until someone on your team says yes, and you set that rule per system.
- Every action on the record
- Each step is logged, attributed and reversible, ready for your auditors.
- Certified for enterprise
- SOC 2 Type II and ISO 42001, with reports in our trust center.
- Runs where you need it
- In our cloud, through AWS Marketplace, or inside your own account.
See a self-healing cloud.With your engineers in control.
Walk through an investigation, inspect the proposed fix and see where your team sets intent and approves. Book a demo of the Frontier Self-Healing Ops Platform.
Up to $200K in AWS credits
Applied to your own AWS account.
AWS AI Services Competency
Validated for Agentic AI Consulting.
Covered 24/7, on your approval
Under HIPAA, GDPR and SOC 2 controls.