RDF Industries
Private AI Workforce

QOR (pronounced “Core”)

A governed AI workforce for complex technical and business work.

QOR coordinates a team of specialist agents under strict governance and human oversight, in a single-tenant instance of its own—anywhere from fully hosted to fully air-gapped—and gets better on your problems over time.

Currently deployed

In production with a chemical manufacturing defense contractor — built to support NIST 800-171, CMMC L2, and ITAR controls.

The Problem

AI is now a real force multiplier for technical and analytical work—research synthesis, design analysis, compliance review, structured reporting. But public AI services are shared services: your prompts, designs, processes and data sit on a multi-tenant platform, under terms written for the provider.

Model-improvement clauses, data-retention windows and subprocessor chains do not fit proprietary IP, regulated processes or export-controlled work. So most organizations either keep AI away from the work that matters most, or use it in fragments that never touch their core operations.

How It Works

Your people deal with a single point of contact: a main orchestrator that you name, give a persona and give a voice. It receives each mission, presents the plan for approval and reports back with the result.

Behind it works a roster of role-based specialists, each with a defined role and scoped authority:

•Research & analysis
•Verification
•Security & privacy
•Reporting
•Adversarial review
•Simulation
•Business operations — finance, HR and filings preparation
•Domain specialists, co-developed against your workflows and vocabulary

How a mission runs

  1. 01
    Brief — You give the main orchestrator a question, a task or a directive.
  2. 02
    Scoping interview — QOR refines requirements, scope and intended outcomes with the person who asked.
  3. 03
    Plan — The main orchestrator presents a plan for the mission.
  4. 04
    Human approval — Work begins only after a person approves the plan.
  5. 05
    Execution — Specialists do the work; your people watch, question and steer it in the Board Room.
  6. 06
    Synthesis — Results are brought together and the main orchestrator reports back.

What QOR Does

Governed and fail-closed

Every delegation narrows authority, and anything the governance gate cannot decide is refused.

The Board Room

A real-time workspace where your people watch, question and steer agent work as it happens.

Grounded knowledge

Your documents are read with local OCR and indexed; answers cite the passages they rely on, and inferred conclusions count as fact only once a person confirms them.

Governed web research

Agents research the web and open-access literature through a read-only, audited research gateway with a per-organization blocklist.

Simulation and quantum

Quantum, physics and finance simulators your administrators enable; quantum circuits simulate on your own GPUs, jobs pass an approval and spend policy, and results are labeled as simulated.

Self-improvement you approve

Prompts and skills are optimized against real past work and open-weight models are fine-tuned under the same gates; each change is A/B tested and promoted only when a person approves it.

Per-user agent teams

Each user has their own agent team: personal context and results stay with that user, while organization knowledge is shared by design.

Hardware-aware compute

Runs on NVIDIA, AMD, Apple and Intel GPUs, and routes work to the machine on your network with the right hardware and the most free capacity.

Evidence for your assessors

Signed evidence packages, verifiable offline, and a live mapping of controls to the frameworks QOR is built to support.

Governance Foundation

Beneath the Board Room, authority is checked while work runs, not only when it starts—and what the system decides goes on the record.

Continuous Authorization

Authority is checked throughout execution, not only when work begins.

Mid-Task Revocation

Authority can be revoked mid-task. Agents stop at their next checkpoint, and the revocation is recorded.

Refusal as System State

A refusal is recorded system state, never a silent failure.

Append-Only Ledger

Every decision is written to an append-only, hash-chained governance ledger.

One Stack, Four Postures

QOR is one stack. Every customer gets an isolated instance—no shared tenancy—and chooses where it runs.

Managed dedicatedQOR hosts and operates a single-tenant instance for youOrganizations that want the capability without running the infrastructure
Your cloudYou, in your own cloud account, on the same single-tenant stackOrganizations standardized on their own cloud estate
On-premisesYou, on your own GPU servers, high-end workstations or compact AI systemsOrganizations that want the system on hardware they physically control
Air-gappedYou, on-premises, installed from an offline bundle with no outside connectionDisconnected environments and the most sensitive work

Air-gapped gives up the four things that need an outside connection—outside research, remote nodes, off-site simulation and external model providers—and keeps a local counterpart for each.

Compliance

QOR is built to support NIST SP 800-171 / CMMC 2.0 Level 2, ITAR technical-data handling, FIPS 140-3 cryptographic modules, HIPAA and SOC 2-aligned controls; certification remains a step for you and your third-party assessor.

For that step, QOR produces signed evidence packages, verifiable offline, and keeps a live control mapping.

Who It’s For

QOR is designed for organizations whose competitive edge depends on proprietary processes, formulations, designs or data that cannot be exposed to public AI services—and which do not have the IT department of a Fortune 500. That shape recurs across specialty chemistry and materials, pharmaceutical and biotech research, aerospace and defense engineering, advanced manufacturing, and legal, financial and medical practice.

Engagement

Engagements move from a first conversation to a production-ready capability in a defined sequence. Each stage produces a concrete artifact and a go/no-go decision before the next.

  1. 01

    Discovery call

    A focused conversation to understand your operational context, data-sensitivity constraints, and the workflows where AI could carry real load. No cost, no obligation.

    30–45 min
  2. 02

    Scoping engagement

    A fixed-fee engagement to define target use cases, deployment posture, model selection, hardware or instance sizing, integration requirements, and governance boundaries. Covers discovery work, on-site time, and travel; fees are credited toward a deployment contract if the engagement converts. Produces a deployment plan and investment estimate.

    2–3 weeks
  3. 03

    System build & configuration

    On-premises, hardware is procured to spec and commissioned; hosted or in your cloud, your dedicated instance is provisioned instead. The platform is configured and models are deployed and adapted to your organization’s terminology and processes.

    On-premises: 4–6 weeks (dependent on hardware availability)
  4. 04

    Deployment & integration

    Installation on-site, in your cloud account, or in your hosted instance. Integration with internal data sources and systems. Operator training. Validation against real workflows.

    2–4 weeks
  5. 05

    Ongoing development

    Continued refinement as your use of QOR expands — new agents, new integrations, new workflows. Periodic governance and capability reviews.

    Ongoing

Investment scales with deployment posture, hardware or instance specification, integration depth, and engagement scope. Scoping engagements are quoted on a fixed-fee basis and credited toward a deployment contract if the engagement converts; full deployments are scoped after discovery.

Go Deeper

The QOR Technical Brief covers architecture, security, deployment sizing and compliance evidence in detail.

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