Intelligent
The team assesses your estate, weighs business and technical constraints, and recommends what to keep, augment, replace, or build.
AI-run infrastructure operations
Kaidera Infrastructure
A complete AI infrastructure team that designs, deploys and runs enterprise estates across cloud, datacenter and hybrid environments - with human authority and proof of every material action.
Delivered through the KOS-Infra methodology on Kaidera OS. Your tools remain your choice; the operating capability is consistent.
Hybrid network operating model
One governed network across every location
Workloads stay where they make sense. Kaidera connects each environment through a portable platform, common policy, continuous operations and an evidence trail.
Distributed estate
Cloud region Aapplications + data
Cloud region Bresilience + scale
Private datacentercore enterprise systems
Edge + brancheslocal services + devices
Kaidera InfrastructureDesign · Deploy · Runapproved intent becomes verified changeContinuous operations
Operate24/7
ObserveDefendOptimizeRecoverPortable platform planeupstream software on standard compute
OrchestrationIdentity + secretsDeliveryPolicy
private workload traffic policy and change telemetry and evidence
One operating model across your estate
AWS, Google Cloud, Microsoft Azure, other providers, private cloud, colocation and on-premises datacenters.
AWSAmazon Web Services
Google CloudGoogle Cloud
Microsoft AzureMicrosoft Azure
KubernetesKubernetes
Docker / OCIDocker
Linux / bare metalLinuxThe service model
An operating team, not another infrastructure dashboard
Kaidera Infrastructure combines named AI specialists with a deterministic, always-on agent fleet. The team plans and judges; the fleet senses and enforces; your authorized leaders retain approval over exceptions and high-impact change.
Autonomous
Always-on agents detect, verify, route, and resolve routine work. AI workers handle judgement through policy and approval gates.
Accountable
Every material action leaves evidence: plans, approvals, tickets, before-and-after state, postconditions, and durable audit records.
Cloud, datacenter and hybrid
Design the estate your enterprise needs
The design starts with workload, security, resilience, compliance, latency, operating and cost requirements - not a preferred vendor catalog. The result may span multiple hyperscalers, regions, datacenters and edge locations while preserving clear ownership and portability.
Explore the design method →Public cloud
Hyperscaler and regional estates
Portable platform layers on standard compute, integrated with the customer-owned services that pass design review.
Datacenter
Private and physical infrastructure
Compute, network, identity, platform, resilience and service operations designed for owned or colocated facilities.
Hybrid
One controlled estate
Private connectivity, common policy, identity, evidence and operations across sites, clouds and regions.
Enterprise infrastructure, end to end
Design, delivery and operations in one service
Each capability is a function slot. Kaidera can work with the tools you already use, assess alternatives, or help you choose a fit-for-purpose option. The service does not force a hidden vendor stack.
01
Architecture and advisory
A target architecture grounded in your business, estate, risk and operating model.
- CTO discovery and maturity assessment
- Current-state, gap and risk analysis
- Cloud, datacenter and hybrid patterns
- Keep, augment or migrate decisions
02
Platform and application hosting
A portable, highly available platform for the applications and services your teams run.
- Cloud-agnostic Kubernetes
- Application and internal-tool hosting
- CI/CD, registries and golden paths
- Multi-tenant self-service access
03
Networks and access
One controlled connectivity and identity model across providers, regions, sites and teams.
- Segmentation, firewalls and network policy
- Private overlays across sites and clouds
- DNS, load balancing and certificates
- SSO, MFA, RBAC, secrets and PKI
04
Operations and service management
A governed operating rhythm for daily service health and controlled change.
- Metrics, logs, traces, SLOs and alerts
- Incident, problem and request workflows
- Standard, normal and emergency changes
- CMDB, assets, capacity and continuity
05
Cybersecurity and resilience
Continuous defensive coverage, recoverability and evidence without a separate operating island.
- SIEM and security operations integration
- Vulnerability and patch management
- Authorized, bounded penetration testing
- Backups, tested restores and DR drills
06
FinOps and governance
Cost, risk and compliance controls embedded in the same operating system as delivery.
- Allocation, budgets and forecasts
- Waste and anomaly detection
- Rightsizing and graduated controls
- Framework-mapped audit evidence
Your infrastructure team, staffed by AI
Clear roles. One accountable lead.
The roster mirrors a mature enterprise infrastructure function. Each worker owns a bounded role, shares project memory and routes decisions through the same evidence and approval system.
Adam
Chief ArchitectLeads discovery, owns the target architecture and gives the CTO one accountable counterpart for recommendations and deployment authorization.
Scout
Market AnalystResearches best-fit options against live requirements and assesses the tools you already own: keep, augment or migrate.
Mason
Build EngineerTurns approved designs into reproducible infrastructure as code, delivery pipelines, controlled rollouts and drift-managed state.
Otto
Ops Runner / SRERuns monitoring triage, patching, backup and restore checks, incident response, runbooks and service improvement.
Argus
Security AnalystOwns threat modelling, vulnerability priority, access review, security-event judgement and compliance evidence.
Quill
DocumentarianKeeps design records, as-built documentation, runbooks, decisions and audit artifacts current and findable.
Bounded autonomy
Routine work stays automatic. Authority stays explicit.
Deterministic agents sense and enforce. AI workers investigate, judge and act through policy gates. Human leaders authorize high-impact change and decide exceptions. Work escalates only when the layer below cannot resolve it safely.
1. Sense
Deterministic checks collect facts and enforce known controls.
2. Judge
AI workers investigate context and propose or execute bounded action.
3. Authorize
Humans approve exceptions, policy changes and high-risk operations.
The always-on deterministic fleet
- Health and service probers
- Certificate and secret watchers
- Backup and restore verifiers
- Drift and inventory reconcilers
- CVE and patch watchers
- Cost and utilization collectors
- Alert routers and escalation timers
- Evidence and report generators
The AI team creates and maintains this fleet. Repeatable checks become deterministic automation; judgement and exception handling remain visible.
How it works
One lifecycle from first interview to continuous operation
- 01
Discover
Interview the CTO and service owners. Define business outcomes, constraints, appetite, maturity and decision rights.
- 02
Assess
Map the current estate, function gaps, risks, dependencies and existing tools against what the business actually needs.
- 03
Design
Produce the target architecture, options, roadmap, business case, controls and approval boundaries.
- 04
Deploy
Build approved infrastructure as code, verify it through gates and record the evidence needed for handover and audit.
- 05
Run
Monitor, heal, secure, patch, restore, optimize and improve the estate. Operational lessons feed the next design cycle.
Proof of service
Compliance evidence is an operational output
Audit readiness is not a scramble at the end. Plans, approvals, tickets, action identities, before-and-after state, postconditions, security findings and restore-test receipts are captured as work happens.
Change evidence
Plan hash, approval, execution record and verified postcondition.
Security evidence
Finding, severity, affected scope, action and proof of remediation.
Resilience evidence
Backup state, restore result, RTO/RPO outcome and drill record.
Management visibility
Service health, risk, cost, change and improvement reporting.
Current capability snapshot
Start with the estate you have. Design the one you need.
Book a discovery conversation with the Kaidera Infrastructure team. We will map the decision scope, current constraints and the first evidence-backed outcome.
AWS, Google Cloud, Microsoft Azure, Kubernetes, Docker and Linux marks are the property of their respective owners and are shown only to identify compatible environments and standards. No endorsement is implied.