AI Infrastructure Automation
Provision GPU pools, inference routes, and guardrailed agents with policy-aware orchestration.
GPU utilization +38%
AI-powered control plane for cloud infrastructure, DevSecOps, and security automation.
Automate landing zones, secure delivery pipelines, and AI workloads in one control plane—built for startups and enterprises that need velocity without trading off compliance.
SOC2-ready workflows · Zero Trust IAM · OpenTelemetry-native · Multi-cloud
Kosmani Control Plane
env · production · global
Deploy pipeline
Canary 62%
Security posture
A+
Cost delta (7d)
−12.4%
$ kosmani fleet status --live
✓ 128 clusters · ✓ 2.4M deploys/mo · ○ 3 advisory notices
Trusted operations
Platform uptime
99.99%
multi-region SLA
Deployments orchestrated
2.4M+
last 30 days
Mean time to remediate
4.2m
critical findings
Policies enforced
18k+
real-time controls
Product
Modular capabilities that snap together—so you can start with security posture, add AI automation, or roll out Kubernetes fleet operations without re-platforming twice.
Live control surface
Stream every change, policy violation, and deployment through a single timeline—with role-aware views for engineering, security, and finance.
GET /v1/fleet/summary
{ "posture_score": 94, "open_critical": 3, "ai_spend_usd": 12840, "deploy_velocity": "+38%" }
Provision GPU pools, inference routes, and guardrailed agents with policy-aware orchestration.
GPU utilization +38%
Shift-left scanning, SBOMs, and signed releases wired into trunk-based delivery.
Lead time −44%
Continuous posture, anomaly detection, and blast-radius mapping across accounts.
Critical drift < 5m
Just-in-time access, workload identity, and session risk scoring out of the box.
Standing access −62%
Golden paths for clusters, GitOps, progressive delivery, and safe rollbacks.
Change failure 0.8%
Terraform/Pulumi modules with policy-as-code and drift reconciliation.
IaC coverage 100%
Platform
Kosmani orchestrates the boring, risky middle: approvals, policy checks, progressive delivery, and evidence capture—so every deploy is explainable.
Telemetry, posture, and spend in one graph.
IaC, pipelines, and agents with guardrails.
Zero Trust, runtime protection, compliance.
Fleet operations with cost-aware scheduling.
$ kosmani apply --plan ksmp-2044
→ validating policies ........ ok
→ signing artifacts ........ ok
→ canary 5% ................ ok
→ traffic shift 25% ......... ok
→ evidence bundle ........... uploaded
deploy complete · rollback window 12mEvery step audited to your SOC2 evidence store.
Depth
Every module is designed to be operated, not just installed. Here is how Kosmani goes beyond checkbox compliance.
Kosmani weaves SAST, secrets, dependency, and container scanning into every change—automatically blocking, quarantining, or routing approvals based on your risk appetite.
$ kosmani pipeline verify --env prod
✓ SBOM attestation verified
✓ policy/devsecops.rego — PASS
→ promotion approved (audit trail #KSM-18402)
Route models, batch jobs, and agent workloads across GPU pools with autoscaling, quotas, and retrieval boundaries that respect data classification.
$ kosmani ai route --model kosmani-large --region eu-west
→ cold pool warm-up: 1.2s
✓ PII scrubber engaged (policy ai/phi)
inference QPS: 1,240 | p99 182ms
Correlate misconfigurations, identity paths, and runtime signals into a single prioritized queue—ranked by exploitability and business impact.
$ kosmani posture scan --accounts all
⚠ 3 critical | 12 high | 48 medium
→ auto-ticket KSM-SEC-883 created
remediation ETA: 6m (runbook aws/s3-public)
JIT access, device posture checks, and continuous authorization for humans and workloads. Every session is scored, logged, and revocable in milliseconds.
$ kosmani access request --role prod-db --ttl 30m
✓ MFA + device trust OK
✓ manager approval (Slack #infra-approvals)
session scoped | expires 14:32 UTC
Golden cluster templates, progressive delivery, and automated upgrades with pre-flight checks—so platform teams focus on product engineers, not toil.
$ kosmani k8s rollout canary --service checkout-api
→ 5% traffic | error budget OK
→ 25% | SLO burn stable
promotion complete | rollback window 15m
OpenTelemetry-first pipelines, SLO dashboards, and anomaly detection that surfaces what matters before paging humans.
$ kosmani slo status --service payments
budget remaining: 42m / 30d
⚠ burn spike detected (deploy v482)
→ suggested action: enable feature flag pay-3ds-off
Dedicated runtimes for agents that mutate infrastructure—complete with approval workflows, change windows, and immutable audit trails.
$ kosmani agent plan --intent scale-queue --dry-run
→ proposed: +12 nodes (spot)
estimated Δ cost: -$840/mo
awaiting approval: @platform-oncall
Signal fusion across logs, metrics, and traces with automated containment recipes sized for cloud-native estates.
$ kosmani incident open --sev1
correlation: IAM key anomaly + VPC flow spike
→ playbook IR-CLOUD-04 started
stakeholders notified | war-room bridged
Why Kosmani
Progressive delivery, automated canaries, and policy-aware promotions cut time-to-production without gambling on stability.
Continuous rightsizing, commitment intelligence, and architecture guardrails keep unit economics honest as you scale.
Controls, evidence collection, and drift detection map directly to frameworks your customers already ask about.
Zero Trust defaults, hardened landing zones, and runtime protection converge in one operational model.
Inference, data planes, and agent runtimes are first-class—not retrofitted after the fact.
Pricing
Transparent tiers for product-led adoption—upgrade when your footprint and compliance bar expand.
For seed-stage teams shipping their first production stack.
$499/mo
For Series A teams scaling multi-team platforms globally.
$2,499/mo
For regulated industries and mission-critical estates.
Custom
Customers
Series B SaaS
“Kosmani replaced three brittle tools with one control plane. Our deploy frequency doubled while critical incidents dropped—exactly the story our Series B deck needed.”
Elena Marchetti
VP Engineering, Northbeam (B2B SaaS)
Fintech
“Security reviews that used to take two weeks now close in days. The compliance mapping alone paid for the platform in the first quarter.”
Marcus Chen
CISO, HelixPay (fintech)
AI Lab
“We run GPU-heavy inference across three regions. Kosmani’s automation kept utilization high and spend predictable—finally something both FinOps and ML agree on.”
Dr. Priya Nandakumar
Head of AI Infrastructure, LatticeMind
Blog
Deep dives on DevSecOps, AI infrastructure, and operating cloud at startup speed.
Cloud
How modular Terraform layouts, policy-as-code, and review culture keep platforms governable as team count doubles.
Security
A pragmatic sequence for identity, segmentation, and workload attestation that security and engineering teams can align on.
DevOps
Where to place scanners, how to tune noise, and how to keep pipelines fast while raising the security bar.
Get started
Book a live walkthrough or spin up a guided trial. We will map your accounts, surface the top risks, and show the automation paths your team can adopt immediately.