CraveStudio deploys intelligent AI agents with extensive pre-built integrations, continuous learning, and multi-agent orchestration — automating complex business processes autonomously and at scale.
Six core capabilities that power your agents to deliver intelligent, autonomous operations across any workflow.
Your agents connect to your entire stack — monitoring, ticketing, cloud, databases, communication, and more. No custom connectors needed. New integrations added regularly.
Agents capture operational knowledge from every execution. They learn patterns, identify root causes faster, and improve accuracy over time — automatically.
Deploy specialized agents that collaborate on complex tasks. Conditional logic, parallel execution, error handling, and escalation paths — all configurable without code.
Every agent can require human approval at critical decision points. Start fully supervised, then gradually increase autonomy as confidence builds.
Real-time dashboards for agent performance, error rates, time savings, and ROI tracking. Full visibility into what your agents are doing and why.
Role-based access control, encryption at rest and in transit, audit logging, and compliance-ready architecture. Built for regulated industries from the ground up.
Pre-built connectors for the tools your teams already use. Agents connect and operate in minutes.
and many more infrastructure integrations
and more monitoring integrations
and more ITSM integrations
and more communication integrations
and more data & cloud integrations
CraveStudio agents don't just execute rules — they build operational knowledge over time. Three layers of learning work together to improve accuracy, speed, and reliability.
Captures facts about your infrastructure — service dependencies, team ownership, SLA thresholds, configurations.
Records what worked and what didn't — which remediation steps resolved which symptoms, how long fixes took, what escalation paths were effective.
Derives higher-order patterns from experience — correlations between events, predictive signals, and optimization opportunities your team hasn't documented yet.
"After 3 weeks of running on our infrastructure, the agents started resolving incidents we hadn't even written runbooks for — they learned the patterns from our Prometheus data and past resolutions."
Same agents, same capabilities. Three deployment options to match your security, compliance, and operational needs.
Run the entire agentic platform on your Kubernetes cluster. Zero data leaves your infrastructure. Full control over compute, networking, and storage.
We host, manage, and scale everything. You configure agents and measure results. Zero infrastructure overhead on your team.
Sensitive agents on your infrastructure, everything else managed by us. Define the boundary, we respect it.
Enterprise security isn't an add-on — it's the foundation of the platform.
AES-256 at rest, TLS 1.3 in transit. All credentials stored encrypted with rotating keys.
Granular role-based access control. Define who can view, configure, approve, and execute workflows.
Immutable logs for every action. Who did what, when, why, and what the outcome was.
Define approval gates at any agent step. High-risk actions always require human sign-off.
Tenant-level data isolation. No cross-contamination between environments or teams.
Architected for SOC 2, HIPAA, PCI-DSS, GDPR, ISO 27001. Audit-ready documentation included.
Traditional automation executes fixed rules. CraveStudio deploys intelligent agents that understand context, reason through decisions, and act autonomously. Agents learn from every execution and get smarter over time — without manual retraining.
Any Kubernetes cluster (1.26+) on any cloud or on-premise. The platform control plane requires approximately 2 vCPUs and 4GB RAM. Individual agent capacity scales with your cluster resources.
Yes. Start with managed hosting for speed, then migrate to self-hosted when your team is ready — or vice versa. All agent configurations and learned knowledge transfer seamlessly.
First agent live in 1-2 weeks. Full departmental rollout typically 4-8 weeks. We provide a dedicated onboarding engineer for Enterprise plans to accelerate time-to-value.
Yes. Self-hosted deployments support any LLM — open-source models (Llama, Mistral), commercial APIs (OpenAI, Anthropic), or your own fine-tuned models. Managed hosting uses enterprise-grade models with data processing agreements.
All learning happens within your deployment boundary. Self-hosted: knowledge stays on your cluster. Managed: knowledge is isolated per-tenant with enterprise data processing agreements. No data is used to train models for other customers.
15-minute demo on a real operational workflow. Bring your toughest challenge — we'll show you how CraveStudio's intelligent agents handle it.
Schedule a Demo →No credit card • 60-day pilot guarantee • Dedicated onboarding