Founded by ex-Netflix engineers
Backed by World Class InvestorsBuild Ops Agents
that stay on top of problems
Catch bad releases, cloud waste, and reliability issues — from your existing data
Windows coming soon • Free to get started
CONNECT TO DATA WAREHOUSES, OBSERVABILITY PLATFORMS, AND MORE
Slack
DataDog
New Relic
Grafana
Snowflake
PostgreSQL
BigQuery
GCP Monitoring
CloudWatch
CloudTrail
AWS Lambda
Prometheus
Thanos
Cardinal Lakerunner
CardinalRelease Watcher
WORKFLOWS
Choose from Dozens of Ready-Made
Agentic Workflows!
Production-ready workflows that deploy in minutes and instantly go to work for you!
Underutilized but Expensive Cloud Infrastructure
Spot waste automatically. Reclaim cloud spend with confidence.
GCPBigQuery
KubernetesYour cloud bill keeps climbing, but nobody has time to hunt for idle VMs, forgotten GPU nodes, or oversized databases. This workflow continuously analyzes GCP spend against real utilization, highlighting abandoned resources, stale autoscaling groups, and low-traffic services that cost real money. Operators get a clear, prioritized "fix list" with the context to safely shut things down.
Build Your Own
Create custom workflows tailored to your unique needs.
FEATURES
Everything you need to build
production-ready agents
From data connection to cloud deployment, Cardinal handles the complexity so you can focus on building.
Multi-Source Connectivity
Connect to any data source—GitHub, Grafana, Datadog, and more. Your agents work with the tools you already use.
Git-Native Workflows
Version your reports, resources, and workflows. PR reviews, diffs, and rollbacks—all supported out of the box.
Local-First Security
Your data and credentials stay on your machine. Institutional knowledge lives in your own private Git repo.
Composable Architecture
Reuse knowledge assets across agents and teams. Build once, deploy everywhere.
Natural Language Editing
Build and maintain workflows using plain English. Extract workflows from chat threads with one click.
Deploy Anywhere
Run scheduled and event-driven workflows on Google Cloud, AWS, or Azure. Scale from prototype to production.
HOW IT WORKS
From idea to production in minutes
1. Chat & Train Your Agent
2. Extract workflow
Extracted workflow
Right-click chat thread to turn this chat into a reusable incident triage playbook.
3. Deploy to your cloud
Deployed workflow
Running in your cloud with guardrails.
🔐 Security that you don't have to
think about
VPN-Native by Design
Cardinal Agent Builder is a VPN-native, edge-local app, that keeps every interaction inside your trusted environment—no data ever leaves your VPN.
Zero-Trust By Default
Agents use the same authentication your teams already trust—Google OAuth, AWS IAM roles, and GCP service accounts. They inherit the agent developer's permissions, nothing more. No shared secrets, no broad access—just true least-privilege AI enforced at the source.
Bring Your Own Models (BYOM)
Use in-VPC models such as AWS Bedrock, Google Vertex AI, Microsoft CloudFoundry or fallback to Cardinal Provided Models by default.
Your Data, Your LLM-Providers, Your Rules.
"Chat has become the starting point for most of our day-to-day work, and Cardinal nails the UX. Our teams can explore, ask questions, build knowledge, and when ready, turn that conversation directly into a workflow. All the agent steps, guardrails, and context discovered in chat are carried forward automatically. It makes RAG invisible and lets both technical and non-technical users automate real work."
Aarjav Trivedi
CEO, Ridecell
"Engineering leaders spend too much time chasing cloud waste, finding underutilized resources, mapping them to teams, and justifying every dollar. We've started exploring Cardinal for this, and the results are promising. I'm looking forward to deleting the very unpopular but recurring 'Cloud Cost Review' meeting from my calendar."
Syed Masthan
Head of Engineering, Moxxi
"There is still a lot of toil involved in connecting data from disparate data sources, and building end-to-end workflows with push-button reliability. I am very excited about what Cardinal has built to solve this problem!"
Kintan Brahmbhatt
CEO, Olto
"We've been using Cardinal's Lakerunner to power our Telemetry Data Lake for over a year, and it's become a core part of how we manage customer network logs. Our next step is the one we're most excited about: an intelligent triage workflow that links real-time log signals with historical Zendesk tickets. The promise is huge: context-rich, targeted guidance for our support engineers right when they need it."
Srinivas Nedunuri
Lead DevOps Engineer, Aviatrix
"Chat has become the starting point for most of our day-to-day work, and Cardinal nails the UX. Our teams can explore, ask questions, build knowledge, and when ready, turn that conversation directly into a workflow. All the agent steps, guardrails, and context discovered in chat are carried forward automatically. It makes RAG invisible and lets both technical and non-technical users automate real work."
Aarjav Trivedi
CEO, Ridecell
"Engineering leaders spend too much time chasing cloud waste, finding underutilized resources, mapping them to teams, and justifying every dollar. We've started exploring Cardinal for this, and the results are promising. I'm looking forward to deleting the very unpopular but recurring 'Cloud Cost Review' meeting from my calendar."
Syed Masthan
Head of Engineering, Moxxi
"There is still a lot of toil involved in connecting data from disparate data sources, and building end-to-end workflows with push-button reliability. I am very excited about what Cardinal has built to solve this problem!"
Kintan Brahmbhatt
CEO, Olto
"We've been using Cardinal's Lakerunner to power our Telemetry Data Lake for over a year, and it's become a core part of how we manage customer network logs. Our next step is the one we're most excited about: an intelligent triage workflow that links real-time log signals with historical Zendesk tickets. The promise is huge: context-rich, targeted guidance for our support engineers right when they need it."
Srinivas Nedunuri
Lead DevOps Engineer, Aviatrix
"Chat has become the starting point for most of our day-to-day work, and Cardinal nails the UX. Our teams can explore, ask questions, build knowledge, and when ready, turn that conversation directly into a workflow. All the agent steps, guardrails, and context discovered in chat are carried forward automatically. It makes RAG invisible and lets both technical and non-technical users automate real work."
Aarjav Trivedi
CEO, Ridecell
"Engineering leaders spend too much time chasing cloud waste, finding underutilized resources, mapping them to teams, and justifying every dollar. We've started exploring Cardinal for this, and the results are promising. I'm looking forward to deleting the very unpopular but recurring 'Cloud Cost Review' meeting from my calendar."
Syed Masthan
Head of Engineering, Moxxi
"There is still a lot of toil involved in connecting data from disparate data sources, and building end-to-end workflows with push-button reliability. I am very excited about what Cardinal has built to solve this problem!"
Kintan Brahmbhatt
CEO, Olto
"We've been using Cardinal's Lakerunner to power our Telemetry Data Lake for over a year, and it's become a core part of how we manage customer network logs. Our next step is the one we're most excited about: an intelligent triage workflow that links real-time log signals with historical Zendesk tickets. The promise is huge: context-rich, targeted guidance for our support engineers right when they need it."
Srinivas Nedunuri
Lead DevOps Engineer, Aviatrix
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