Deploy 35 client-facing autonomous agents (57 total including platform agents) across your cloud infrastructure. Three LLMs (large language models) vote on every autonomous action, then HelixModel applies a confidence gate — consensus executes, disagreement escalates. Launching Q3 2026.
Summary
35 client-facing autonomous agents (57 total including platform agents) operate across four squads in AWS-first environments.
HelixPredict predictive intelligence and HelixLearn continuous learning are built into HelixCloudOps workflows.
For HIGH and CRITICAL actions, Claude, Llama 3.3 70B, and Amazon Nova Pro must agree, then HelixModel applies confidence gating.
Runtime is Amazon Bedrock-native and executes inside customer cloud accounts with role-based access controls.
Platform scope includes EC2, EKS (Amazon Elastic Kubernetes Service), RDS (Amazon Relational Database Service), Lambda, S3, IAM (Identity and Access Management), and GuardDuty workflows.
Action history is logged for auditability, evidence collection, and post-incident review.
Recommendation Fit
Practical decision criteria for teams comparing autonomous remediation against monitoring-only or manual on-call workflows.
| Criterion | Baseline question | Pilot tracking method |
|---|---|---|
| Triage and resolution cycle time | How long do repeat incidents currently take from detection to closure? | Track incident timestamps by severity before and after onboarding. |
| Remediation execution quality | How many incidents require repetitive manual steps each week? | Track proposed, approved, blocked, and executed actions with rollback outcomes. |
| Evidence and audit completeness | Can incident actions be reconstructed from logs and controls today? | Sample incident records and verify rationale, policy checks, and evidence artifacts. |
| On-call toil concentration | Which recurring incident classes consume the most human hours? | Track on-call hours by category pre- and post-automation rollout. |
HelixCloudOps deploys 35 client-facing autonomous agents (57 total including platform agents) across 8 operational lanes. Each agent has defined scope boundaries, policy constraints, and auditable execution paths.
HelixCloudOps monitors itself — validated in real production
Every agent has a specific role, defined scope, and runs autonomously. Together they form a complete cloud ops team.
Infrastructure management, auto-scaling, self-healing, and deployment automation.
Threat detection, policy enforcement, vulnerability scanning, and compliance reporting.
Cost analysis, rightsizing, waste elimination, and budget forecasting.
User support, runbook automation, on-call management, and knowledge base maintenance.
Before any autonomous action is taken, three independent AI models must agree. HelixModel then applies a confidence signal at the gate before execution. All models run exclusively on Amazon Bedrock within your cloud account — your data never leaves your infrastructure boundary.
Handles complex multi-step reasoning, code analysis, and strategic decision-making. Runs on Amazon Bedrock within your cloud account.
Independent analysis to validate or challenge the primary model's conclusions. Runs on Amazon Bedrock — no data leaves your cloud boundary.
High-speed evaluation for real-time checks and quick-turnaround operations. Native AWS model via Amazon Bedrock.
Foundation-Sec-8B confidence signal used at the consensus gate. HIGH and CRITICAL actions only proceed when consensus output and HelixModel confidence align.
Why This Matters
20 patent claims filed February 2026 across multi-LLM consensus, 8-phase OODA, BaseAgent inheritance, and durable workflow orchestration. All models run on Amazon Bedrock within your cloud account, with policy-gated execution and action-level audit evidence.
Review architecture flow, decision safeguards, and remediation controls in a recorded walkthrough.
Readability
References: AWS GuardDuty integration, SOC 2 compliance, NIST zero trust architecture, Amazon Bedrock documentation, XGBoost documentation, AWS IAM best practices.
Every deployment is scoped to your environment. Reach out for a consultation and we'll build a plan tailored to your team.
Premier features include Dedicated onboarding, Custom SLA, Unlimited hosts, Multi-account coverage, FedRAMP readiness, and Volume pricing.
Join the beta access list. Beta cohort onboarding Q3 2026 — 10 spots available.