Our technology · Corvana Labs

CorvanaOS

The workspace behind your AI workflows.

Explore the system

Technology preview · How we bring context, workflow design, and evaluation into a Corvana Labs engagement.

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Illustrative platform architecture

One workspace connecting approved knowledge,
workflow execution, and human review.

Explore CorvanaOS

Our delivery workspace

A connected way to deliver.

CorvanaOS is the delivery workspace we are building to support our specialists and your reviewers. It brings operational knowledge, workflow configuration, test cases, and decision records together within a scoped engagement.

Security & governance

Your rules, carried through every workflow.

Define who can access the sources, who reviews the work, and what requires approval. Keep the evidence, decisions, and execution record together in CorvanaOS.

Explore the controls

Products & interfaces

Our workspace. Your way of working.

Our team uses the workspace to configure and evaluate the work. Where an agent is appropriate, we design how it brings context and review requests into your existing tools, including Teams and Outlook.

Step inside the sandbox
CorvanaOS utility workspace with project navigation, connected records, and an Ask Corvana composer
CorvanaOS spaceIllustrative preview

Utility-specific workflows

Reusable patterns.
Specific to your work.

Document intake, schedule reviews, evidence assembly, and work order handoffs. We adapt reusable patterns to your sources, operating procedures, and reviewers, then test them against the cases your team understands.

Explore the work
CorvanaOS utility workspace with project navigation, workflow access, and a composer for new workUtility workspace · Workflow navigation

Context & knowledge

Your operating knowledge, in every step.

Approved procedures, project records, past decisions, and review criteria give each workflow its context. Keep sources close to the work, make gaps visible, and give the reviewer something they can trace.

Planning documents and a laptop on a sunlit desk

Project review playbook

Approved context · Version 1.2
Review criteria
  1. Approved project sources1.0
  2. Required documents2.0
  3. Schedule & milestone rules3.0
  4. Asset and work order context4.0
  5. Evidence and citations5.0
  6. Missing information6.0
  7. Named approvers7.0
  8. Release requirements8.0
Linked to the source records
Illustrative company playbook

Data & integrations

Connected to the systems your operation runs on.

Bring project schedules, asset records, network context, and operating data into the workflow. From Primavera P6 and Maximo to ArcGIS, PI System, and Microsoft 365, connect the sources your team relies on.

Integration examples. Availability and access are scoped to your environment.

Tools connected through CorvanaOS Four glass tiles exchange positions. Integration examples include Oracle Primavera P6, IBM Maximo, ArcGIS, AVEVA PI System, SAP, SharePoint, Teams, and Outlook.

06 / Workflow engine & sandbox

Prove the workflow.
Then put it to work.

Run a workflow against work your team already knows. Trace every finding, improve the candidate, and review the evidence before deciding where it can operate.

Interactive product walkthrough with sample cases and evaluation results.Read the economic case for a sandbox ↗

07 / Approved models

The right model.
Inside a more complete system.

Specialized AI is not just a choice of model. It is the combination of workflow knowledge, approved context, deterministic checks, and human decisions around it.

Select models against quality, cost, and deployment requirements. Evaluate the complete workflow before making a claim about accuracy or savings.

Model choices, evaluated in context
Managed modelsPrivate endpointsSelf-hosted options
Model selection criteriaPer workflow
Task qualityEvaluate
Total operating costMeasure
Data & deployment boundaryAgree

Options depend on the selected models and customer environment.

Security shaped for
regulated infrastructure.

Read more

Controlled access. Protected records. Accountable AI.

For energy and utilities, we scope security requirements with your team
around the systems, information, and work involved.

NERC CIP

Identify applicable bulk electric system requirements before connecting a workflow, including access boundaries, change controls, and vendor risk.

FERC · Grid security

Operational technology

Define the boundary between AI workflows and operational systems, with approved access, network separation, and human authorization.

NIST · OT security

Protected infrastructure data

Classify sensitive records and agree access, storage, retention, and permitted model-provider use. Apply CEII handling rules where relevant.

FERC · CEII

Enterprise assurance

Agree the evidence required for the delivery environment: supplier assessments, ISO 27001 certificates, and SOC 2 reports where procurement requires them.

ISO · Information security

AI governance

Define accountable owners, evaluate workflow risks, document human review, and retest material changes before release.

NIST · AI Risk Management

Applicability depends on the entity, jurisdiction, systems, and data in scope. These are engagement requirements to assess, not claims of Corvana certification.

Discuss your requirements

Expertise leads.
Technology supports.

Our three services define the engagement. CorvanaOS supports how we configure, evaluate, and review the work. Your team can use the agreed workspace or continue with existing AI tools; adopting CorvanaOS is not a prerequisite.

Start with one real workflow

Your operating knowledge.
Its next chapter.

Bring us a context problem, an AI system to evaluate, or a workflow to implement. We’ll agree the deliverables and use the right tools for the engagement.

Discuss a workflow
Aerial view of an electrical substationSpecialized AI services for critical infrastructure.