™Explore Hawkeye
HAWKEYE IDE™ · AN ON-BOX DEVELOPMENT ENVIRONMENT

Your next application.
Built inside your boundary.

Vibe code with your on-box LLM, your datasets, and Hawkeye's platform features. Go from an idea to a custom offline application in a local workspace for planning, coding, testing, and deployment.

Explore the IDEExplore the foundation
On-box LLMsApproved local datasetsOffline application development
EXPLORE THE LOCAL WORKSPACEInteractive walkthrough · illustrative output
Model weights and context
remain inside your deployment.
HAWKEYE IDE™word-explorer
LOCAL WORKSPACE
app.tsxILLUSTRATIVE
1// Illustrative application sketch
2// Platform client calls are conceptual.
3 
4export function WordExplorer() {
5  const context = useLocalContext({
6    dataset: "Approved curriculum",
7    tenant: "authorized-workspace",
8    model: "Approved code model"
9  });
10 
11  return (
12    <PrivateApplication context={context}>
13      <SourceLinkedWorkspace />
14      <HumanReviewStep />
15    </PrivateApplication>
16  );
17}
LOCAL WORKFLOW

Choose a brief, explore the files, or run the walkthrough.

Simulation only · no code or model is executed here
Independent application projectAPIs + MCPOn-box model + local context

This interactive preview describes the Hawkeye IDE experience. Examples and configuration are illustrative; the website does not run an LLM, execute tests, or deploy applications.

01BUILD WITH THE FOUNDATION BESIDE YOU

More than code completion.
Context for your whole application.

Your on-box LLM

Use an approved model from the local LLM library or your custom on-box model. Stage weights and development dependencies for offline operation.

Your approved datasets

Work with scoped data lake collections, PostgreSQL records, and structured or unstructured search results as authorized development context.

Your Hawkeye features

Connect ETL / ELT, search, local AI agents, analytics, and data services through APIs and MCP. Build evidence-review apps around supported EWF (.E01) exports, verification results, and custody records, with tenant and role permissions in every workflow.

Your separate codebase

Keep your interface, business logic, and application source independent. Inspect generated changes and run local tests before approving a release.

02FROM LOCAL WORKSPACE TO LOCAL APPLICATION

Build on-box.
Run on-box.

For bare-metal installations, use the Hawkeye Hypervisor to host your finished app in an isolated virtual machine alongside the platform. Your application uses the Hawkeye foundation through scoped API and MCP connections.

  1. 01
    Plan with local context

    Choose the model, datasets, platform services, and access scope.

  2. 02
    Build and inspect

    Use AI assistance, review code changes, and keep source in your project.

  3. 03
    Test and approve

    Check app behavior, data permissions, and offline dependencies.

  4. 04
    Deploy inside your environment

    Release to an application VM and observe activity through local platform services.

Hawkeye IDE™Local model + approved data + platform features
Review → test → approve
Your application VMSeparate codebase
Custom offline app
Hawkeye servicesData · pipelines · search
Local AI · analytics · SIEM
Tenant-scoped APIs + MCP Server
00
Hawkeye Hypervisor™Layer 0 · bare-metal foundation

Deploy your application directly on-box in an isolated virtual machine alongside Hawkeye services.

Locally staged software, models, and data

SEE IT IN EDUCATION

Student builders. Real classroom purpose.

Explore the vision for trained grades 9–12 students using Hawkeye IDE to create offline applications for K–5 classrooms.

Explore K–12 Education