Human-driven
Capture the current workflow, risks, owners, and manual effort.
Shaping the future from code to cloud
Infrastructure intelligence for the AI era.
Kumosoft turns fragmented infrastructure work into governed, AI-assisted intent—from discovery and baselining to design, deployment, validation, and continuous assurance.
The shift
AI will not transform infrastructure until infrastructure becomes understandable.
Most teams still operate from tickets, tribal knowledge, outdated diagrams, and scattered tools. Kumosoft creates a living model of infrastructure so AI agents can reason, recommend, and act inside governed boundaries.
EVOLVE-A™
A practical path from manual operations to intent-driven infrastructure.
Codified
Turn repeated work into reusable policy, templates, and runbooks.
Design-led
Model intended outcomes before execution across cloud and data center.
Intent-driven
Use AI agents to propose, validate, and execute governed infrastructure change.
Kumosoft Intent Control Plane
One operating layer for cloud, network, security, and data center automation.
Discover real infrastructure state across platforms and devices.
Baseline policies, topology, ownership, and operational risk.
Design intent-based blueprints before deployment.
Build with governed Terraform, Ansible, API, and device workflows.
Validate compliance, drift, dependencies, and change impact.
Measure time saved, confidence, and automation maturity.
Agentic fabric
AI that understands infrastructure, not just text.
Kumosoft combines a canonical infrastructure model, domain-specific agents, long-term operational memory, and governed tool execution. The goal is simple: make AI useful for infrastructure teams without bypassing controls.
Assessment agents
Security posture, drift, lifecycle, capacity, and migration readiness.
Design agents
Blueprint generation, dependency mapping, landing zones, and topology planning.
Execution agents
Controlled change with approvals, rollback plans, and audit evidence.
NVIDIA Inception fit
GPU-accelerated infrastructure reasoning.
Our roadmap uses GPU-backed model serving for specialized infrastructure agents: configuration parsing, topology understanding, policy analysis, migration translation, and real-time troubleshooting.
- Domain models for network, cloud, security, and migration operations
- Inference acceleration for private, enterprise-safe deployments
- AI observability to track quality, cost, latency, and confidence
85%target reduction in repetitive deployment effort
90%target reduction in manual design and validation cycles
Always-oncompliance, drift, and assurance loop
Build the future from code to cloud