AI-Native Cloud Agent Platform

Understand Everything Running in Your Cloud.

Every resource, risk, and cost. Mapped in minutes. Fixes in hand.

Your AI copilot Oscar securely builds a live Cloud Intelligence Graph™ of your cloud and AI infrastructure, then helps you eliminate the hidden risks, wasted spend, and blind spots it uncovers. You always know what to fix and how, and you stay in control of every change.

Free download. No credentials shared. No tagging required.

The Problem

Your cloud changes faster than your tools can understand it.

Organizations don't lack data. They lack connected understanding. And the gap is widening.

  • Change is accelerating AI coding agents multiply commits, and operational complexity compounds with every one.
  • Visibility gaps get expensive Risks and costs grow silently until they surface as an incident, an audit finding, or a budget overrun.
  • Your tools have data, not context Investigations start from scratch, remediation crawls, and trusting AI to help feels risky without guardrails.
82%
Of orgs found shadow agents they didn't know were running (CSA 2026)
$4.8M
Average cost of a data breach, with backup gaps as a key factor (IBM 2025)
12+mo
Most enterprises haven't validated DR plans against live state (Forrester 2026)
Hours
Not months. How long OpsCanvas takes to build operational understanding

Discover

Meet Oscar. Your AI Cloud Engineering Agent.

Oscar continuously discovers your infrastructure using approved APIs, approved connectors, and existing permissions. Then it answers the questions that would otherwise take hours of archaeology across five tools. See Oscar in action →

oscar
>
Scanned 14 accounts across 3 regions in 90 seconds.
3 items need attention before standup:
⚠ ALB target health: 3 unhealthy targets in prod
⚠ Backup job failed twice overnight (staging)
⚠ New AI agent appeared Saturday: full EC2 access, no owner
42 services across 14 accounts. Ownership inferred from runtime behavior, not a stale wiki.
Tier 1: checkout, payments, auth. Platform team owns 60% of infra.
✓ Walkthrough generated, current as of this morning. Ask me about any node.
Walked the dependency graph two hops downstream.
orders-db connection pool saturates at 2.1x current load.
Redis cluster and NAT gateway need headroom before launch.
Compared IaC state against live state across all accounts.
6 resources outside Terraform: 2 created via console, 3 by a retired CI role, 1 unknown.
✓ Ranked by risk. Want me to propose import blocks? Nothing changes without your approval.
Checked sidecars, cron jobs, alarms, and IAM for this specific service.
4 things: a cron sidecar, 2 alarms pinned to instance IDs, an instance profile, a hardcoded EIP.
✓ Pre-flight checklist drafted for this migration.
Correlated CloudTrail, deploys, and config changes.
Root cause: deploy v1.9.2 at 02:14 UTC removed the Lambda concurrency limit.
Blast radius: 3 downstream services. No data loss detected.
✓ Fix drafted. Awaiting your approval.
Answers grounded in your Cloud Intelligence Graph™ · illustrative output

Illustrative answers from a sample environment.

Why Context Wins

Every answer above depends on the same ingredient: context. Generic AI knows about clouds. Oscar knows your cloud, because everything it discovers feeds one live, connected picture of your environment. That picture is the Cloud Intelligence Graph™, and it is what you meet next.

Understand

Everything Oscar discovers becomes operational understanding.

Most cloud ops tools start by asking you to tag, label, and configure your environment before they can tell you anything useful. Oscar starts differently. The OpsCanvas Cloud Intelligence Graph™ is an AI-native operational context graph that continuously builds operational understanding from real infrastructure evidence: dependencies, ownership, cost attribution, and AI agent activity, all inferred from how your environment actually behaves. It's not a dashboard of data. It's understanding you can act on from day one.

Animated Cloud Intelligence Graph mapping a sample cloud environment

Sample assessment, illustrative data

Cloud Intelligence Graph™Live · Multi-cloud · No tagging required
ResourcesAll accounts, all regions
DependenciesInferred from runtime
OwnershipIdentity + IaC signals
CostAttribution by team & project
AI AgentsInventory + blast radius
HistoryChange + operational signals
Oscar
Assessments
Workflows

What makes this genuinely different, and difficult to replicate any other way.

Building a live, accurate picture of a complex cloud environment, without requiring your team to first complete a tagging project, is a hard problem. OpsCanvas solves it through runtime behavior analysis, IaC repository signals, and identity system correlation. The result is understanding that's ready to power Oscar, drive assessment deliverables, and govern agent workflows from the moment you connect.

  • No tagging prerequisite. Ownership and dependencies are inferred from how your cloud actually runs, not how it is labeled.
  • Multi-cloud by design. Maps across AWS, Azure, and GCP without being locked to a single provider's tooling.
  • Compounding intelligence. Every environment mapped improves inference quality, cost attribution accuracy, and drift detection.
  • Works alongside the tools you already run. Extends Rubrik, Veeam, Datadog, Apptio, and Wiz rather than replacing them.

Improve

Understanding becomes improvement.
And improvement builds momentum.

Start with Oscar and get immediate visibility. Run an assessment when you need structured evidence. Add ongoing monitoring to keep your posture current. Deploy a platform workflow when you're ready to close gaps at scale. Every step builds on the same Cloud Intelligence Graph™, so understanding compounds instead of starting over, and every decision leaves a trace you can audit.

1

Oscar

Download Oscar and get your first context-grounded cloud answer in under 30 minutes. Free, no setup, no credentials shared.

2

Assessment

Run a structured assessment to get evidence-backed answers on backup posture, AI agent risk, or cloud waste, delivered in days.

3

Ongoing Monitoring

Keep your posture current with regular reassessments. Catch drift, surface new gaps, and stay in control as your environment changes.

4

Platform Workflow

Deploy an AI-governed workflow to close what the assessment surfaced, with agents doing the work and humans approving every decision.

Security and Safety

Safe to put in front of your cloud.

Discovery uses approved APIs, approved connectors, and existing permissions. Assessments are deterministic and approval-gated. No open-ended network scanning, no uncontrolled AI exploration, and humans control the gates that matter.

  • Runs locally on your workstation
  • Uses your existing credentials, never stores them centrally
  • Your AI model, your API key, your account
  • Human approval before every action
  • Full audit trail with decision traces
  • Permission-aware: never proposes beyond your access

Popular Assessments

Get started with a structured assessment.
Results in days, not months.

Each assessment runs on your live Cloud Intelligence Graph™. Oscar does the discovery automatically, so you get evidence-backed answers in days, the kind of analysis that would otherwise take months of manual work or a large consulting engagement.

Backup Posture Assessment

Backup Posture Assessment

Most backup postures no longer reflect what is actually running in production. Coverage gaps are invisible until they matter. RTO and RPO targets get assumed rather than validated against live configurations. We surface every gap with evidence, in days.

  • Coverage map of every protected and unprotected resource
  • Prioritized gap list with business impact estimates
  • RTO/RPO validation against live configurations
  • 3-2-1-1-0 compliance assessment
  • Audit-ready backup and resilience plan
  • Optional: ongoing monitoring to keep your posture current
AI Token Optimization

AI Token Optimization Assessment

Your AI bill is growing faster than your ability to explain it. The AI Token Optimization Assessment maps every AI API dollar across Bedrock, Azure OpenAI, Vertex AI, and direct APIs to the team, application, and environment that generated it. No tagging prerequisite. Evidence from your live environment, in days.

  • Every AI API dollar mapped to the team, app, and environment that generated it
  • Coverage across Bedrock, Azure OpenAI, Vertex AI, and direct APIs
  • Unattributed and shadow AI spend surfaced with evidence
  • Growth forecast and budget model grounded in live usage
  • Token governance recommendations and alerting thresholds
  • Optional: ongoing monitoring to keep spend attributed
Why OpsCanvas

Hours instead of months. Security first. Built for AI.

The layer your existing stack doesn't have: continuously improving operational understanding that compounds over time and works alongside the tools you already run. The full case, in five minutes.

Designed to Work Alongside

OpsCanvas extends and complements the tools your team already trusts. No rip and replace.

Rubrik
Veeam
AWS Resilience Hub
Datadog
Splunk
Apptio
Cloudability
Wiz
Vanta

Choose Your Starting Point

Discover. Understand. Improve. Start anywhere on the flywheel.

There's no single front door, just the same loop entered at different points. Discover with Oscar if you want immediate hands-on value. Understand with an assessment if you have a specific operational question. Improve with a platform workflow when you're ready to close gaps at scale. Every path feeds the same Cloud Intelligence Graph™, so wherever you start, understanding compounds.

Understand · Evidence in Days
Assessments
Structured, evidence-backed analysis of specific risk or readiness questions, delivered in days, not the weeks or months a manual approach would take.
Backup Assessment: coverage map, RTO/RPO validation, audit-ready plan
AI Agent Inventory: complete agent inventory, access scope, blast radius, governance gaps
Zombie Waste Assessment: orphaned resources with full IaC lineage and safe-to-remove guidance
Evidence-backed deliverables grounded in your live Cloud Intelligence Graph™
Each assessment includes an ongoing monitoring option to keep your posture current
Improve · Close Gaps at Scale
Platform Workflows
The AI-governed engine that acts on what each assessment surfaces. Agents do the work. Humans approve every material decision before anything changes.
Disaster Resilience Workflow: continuous posture validation, automated drill scheduling, gap remediation
Cost Optimization Workflow: safe, evidence-backed reclaim of zombie and idle resources
Cloud Modernization Workflow: dependency-aware migration planning and governed app migration execution
Every action requires explicit human sign-off before execution

Get Started Today

Understand your cloud. Improve it continuously.

Download Oscar free and get your first context-grounded cloud answer in under 30 minutes. Or run an assessment and get evidence-backed answers in days.