Watch our agentsship your pipeline
See the same AI agents from the pipeline below in action — writing Dockerfiles, running quality and security scans, and deploying to production without a human in the loop.
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How we build
secure pipelines.
From feature branch to production — automated OWASP Top 10 checks, SonarQube quality gates (>70%), ECR image scanning, and blue/green prod deploys with full observability.
Legend
Push code. The agents wire it to prod.
You push once. After that, AI agents take over — they build the Docker image, run SonarQube and OWASP checks, and tell ArgoCD to deploy. No human touches the pipeline again until it's live.
A failed check breaks the pipeline automatically — nothing broken ever reaches production.
AI-AGENT CI/CD PIPELINETrusted by forward-thinking teams
Ready to Ship
Without Babysitting the Pipeline?
Talk to our DevOps team about AI agents that write Dockerfiles, run quality and security gates, and deploy through ArgoCD — from push to production.
Watch our agentscut cloud spend in real time
Autonomous AI agents that continuously audit your AWS spend, flag underutilized EC2 and RDS resources, and recommend savings — no manual cost reviews required.
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From Idle Spend to
Tracked, Applied Savings
No end-of-month spreadsheet audit. The agent watches spend continuously and closes the loop from waste detected to waste eliminated.
Continuously Scan Spend
The agent ingests usage and billing data around the clock, building a live picture of what's actually running versus what's actually needed.
Detect Waste & Anomalies
Idle instances, oversized volumes, orphaned resources, and unexpected cost spikes are flagged the moment they appear — not at the end of the month.
Recommend Right-Sizing
Every finding comes with a concrete action — resize, schedule, switch to a savings plan, or shut down — ranked by potential impact.
Apply & Track Savings
Approved changes are applied automatically, and the agent keeps watching so spend doesn't quietly creep back up.
Every Line Item,
Watched Continuously
The agent doesn't stop at one resource type — here's a representative slice of where it finds savings across your cloud bill.
Compute
Idle and oversized EC2, GCE, and Azure VM instances, plus scheduling for non-prod workloads.
Containers
Over-provisioned Kubernetes node pools and pods requesting more than they use.
Databases
Underutilized RDS, Cloud SQL, and Azure SQL instances, and storage that's outgrown its tier.
Storage
Unattached volumes, aging snapshots, and objects sitting in the wrong storage class.
Serverless
Over-allocated memory and timeout settings on Lambda, Cloud Functions, and Azure Functions.
Networking
Idle load balancers, unused elastic IPs, and cross-AZ or cross-region data transfer costs.
Commitments
Reserved Instance and Savings Plan coverage gaps versus actual, sustained usage.
Budgets & Alerts
Real-time budget thresholds and anomaly alerts so spend spikes surface immediately, not at invoice time.
A Cloud Bill That
Only Reflects What You Use
Waste gets caught before it compounds, right-sizing happens continuously instead of during a quarterly review, and every recommendation is tied to a specific resource — not a rough estimate.
Key Outcome
Cost governance that runs continuously in the background — so savings come from what the environment actually needs, not a one-time cleanup.
Illustrative trend — actual savings depend on your environment's current utilization and the recommendations you choose to apply.
Trusted by forward-thinking teams
Ready to Stop
Paying for Idle Cloud?
Talk to our FinOps team about continuous cost visibility, automated right-sizing, and savings that get tracked, not just estimated.
Watch our agentsprompt infrastructure as code, live
Describe the infrastructure you need in plain language — our AI agent generates, validates, and provisions production-ready Terraform across 30+ services on AWS, GCP, and Azure.
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From a Plain-Language Prompt to
Validated, Live Infrastructure
No provisioning catalog to click through. Describe the infrastructure you need and an AI agent takes it from request to a deployed, verified resource — across AWS, GCP, and Azure.
Describe What You Need
Prompt the agent in plain language — “give me a production VPC with NAT and private subnets on AWS” — no ticket, no form.
Agent Plans the Primitives
The agent maps your request to the right cloud and service — AWS, GCP, or Azure — and the best-practice configuration for it.
Terraform Generated & Validated
Production-ready Terraform is generated and checked against policy and best practices before anything is applied.
Deploy & Verify
Deployment runs automatically, then the agent confirms every resource is live and correctly wired in the cloud console.
One Agent. Three Clouds.
30+ Services.
The same prompt-to-Terraform flow works across AWS, GCP, and Azure — the agent isn't wired to one cloud or one service. Below is a representative slice of what it provisions today.
Every Networking Component,
Defined as Code
Here's what that agentic flow looks like for one of the 30+ supported services — a single AWS VPC prompt configures the full stack of networking primitives an environment needs, no clicking through the console component by component.
Amazon VPC
The isolated virtual network every other resource is provisioned inside.
Public Subnets
Internet-facing subnets for resources that need direct inbound access.
Private Subnets
Internal subnets for workloads kept off the public internet.
Intra Subnets
Isolated subnets for traffic that never needs to leave the VPC.
Route Tables
Traffic rules that define how each subnet reaches the rest of the network.
NAT Gateway
Lets private subnet resources reach the internet without being exposed to it.
DNS Hostnames
DNS resolution and hostname settings configured for the VPC.
VPN Gateway
Secure connectivity settings back to on-premise or other networks.
Deployed, Then Verified
Across Every AZ
With the Terraform state backed by S3 and a target region set, deployment runs directly from the portal. The result is validated in the AWS Console, and every subnet, route table, and network connection is visualized across multiple Availability Zones.
Key Outcome
Cloud infrastructure provisioned, managed, and verified through an IaC-driven approach — consistent, repeatable, and scalable AWS network deployments, every time.
Trusted by forward-thinking teams
Ready to Prompt Your
Infrastructure Into Existence?
Talk to our platform engineering team about AI-agentic IaC generation across AWS, GCP, and Azure — Terraform state management, and centralized infrastructure validation, for 30+ services and counting.
Watch our agentsmonitor security around the clock
AI agents that continuously scan your cloud environment for vulnerabilities and compliance drift, surfacing risks the moment they appear.
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From Unknown Risk to
Fixed and Documented
Most breaches start with something small that nobody saw. The agent's job is simple: make sure nothing stays unseen, unranked, or unfixed.
Scan Everything, Continuously
Every account, region, and resource is checked around the clock — not just the ones someone remembered to review.
Prioritize What Actually Matters
Findings are ranked by real blast radius — a public bucket with customer data outranks a hundred low-noise alerts.
Remediate in Minutes
Fixes ship as guided one-click actions or auto-applied guardrails, so issues close in minutes — not sprint backlogs.
Stay Audit-Ready
Every check and fix is logged against SOC 2, ISO 27001, HIPAA, and GDPR controls — evidence is ready before the auditor asks.
The Risks That Keep Teams Up,
Watched While You Sleep
Every one of these has caused a real-world breach somewhere. Here's a representative slice of what the agent keeps eyes on, all day, every day.
IAM & Access
Over-permissive roles, unused admin keys, and missing MFA on the accounts that matter most.
Misconfigurations
Public buckets, wide-open security groups, and defaults that were never hardened.
Vulnerabilities
Known CVEs in images, hosts, and dependencies — matched against what's actually exposed.
Network Exposure
Internet-facing services, forgotten open ports, and traffic that bypasses inspection.
Secrets & Keys
Hardcoded credentials, stale API keys, and certificates quietly heading toward expiry.
Audit Trails
Gaps in logging coverage that would leave an incident invisible after the fact.
Threat Detection
Unusual API activity, impossible-travel logins, and privilege escalations as they happen.
Compliance Drift
Controls that slipped out of line with SOC 2, ISO 27001, HIPAA, or GDPR — caught early.
No More 3 A.M.
Surprises
The findings that usually surface in a quarterly pen test — or a 3 A.M. incident call — get caught, ranked, and closed as part of the normal run of things. Watch how a finding moves from detected to remediated without a human chasing it.
Key Outcome
Security that runs as a continuous loop, not a yearly event — every finding tracked from first detection to documented fix.
S3 bucket open to public read
s3://payments-archive
Illustrative feed — representative finding types, not customer data.
Trusted by forward-thinking teams
Ready to Catch Risks
Before They Become Incidents?
Talk to our security team about continuous cloud scanning, risk-ranked remediation, and audit-ready evidence for SOC 2, ISO 27001, HIPAA, and GDPR.
Trusted by forward-thinking teams