Governed Computational Workbench
for Agentic AI and Applied Research

Bring your teams, agents, tools, and enterprise data into one workspace, with governance built into execution.

Neon binary sphere representing controlled AI execution
What It Does

Six capabilities. Each one solves a specific problem.

Every feature listed below exists because enterprise AI users reported a specific, measurable failure in their current workflow. Here is what Photon does about each one.

1

Bounded Agent Storefront

Only approved, governed agents are available, scoped by user role, department, and clearance level. No shadow AI. No rogue models.

The problem it solves: 67% of enterprise AI users report using unsanctioned tools because sanctioned ones are too hard to find or too limited.

RBACAgent Onboarding
2

Persistent Context Collections

Multi-modal context, documents, data, decisions, kept separate per project. Never pollute model memory. Never re-brief.

The problem it solves: Context loss is the #1 reported frustration in enterprise AI use. Users spend an average of 20 minutes per session re-establishing context that should have persisted.

Context IsolationMulti-Modal
3

Seamless Agent Orchestration

Invoke any approved agent mid-conversation. They inherit the full thread context instantly. No copy-paste. No tab-switching. No re-briefing.

The problem it solves: Siloed workflows force users to manually transfer context between 3-5 separate AI tools per task, each with its own interface, memory, and limitations.

Agent HandoffContext Handoff
4

Observer Agent Oversight

Always-on compliance agents monitor every interaction in real time. When a policy boundary is reached, Execution Interception halts the agent and presents three options: Stop, Restart, or Continue.

The problem it solves: AI outputs in regulated industries require audit trails. Without runtime monitoring, every AI-assisted decision is an unauditable liability.

Observer AgentsExecution Interception
5

On-Demand Model Switching

Switch the underlying foundation model mid-session without changing UX or losing history. Test outputs across models. Future-proof every workflow.

The problem it solves: Model lock-in. When your AI vendor changes pricing, deprecates a model, or a better model emerges, your entire workflow should not break.

Model RoutingNo Lock-In
6

Full Cost Visibility

Real-time token usage dashboards per user, team, and project. Auto-enforce token limits. Track ROI across functions. No surprise invoices.

The problem it solves: AI cost overruns. Without per-project visibility, enterprises discover their AI spend only at month-end, after the budget is already exceeded.

Token DashboardsCost Controls
How It Works

Three layers. One architecture.

Photon is built on three integrated technology layers. Each one can be explained in two sentences. If it takes longer than that, the technology is not clear enough.

1

Photon HX: The Workbench

A single, intent-driven interface where human operators command AI agents across projects, teams, and foundation models. State your goal. Photon routes to the right agents, injects the right context, and renders the output in one unbroken thread.

Technologies: inline agent invocation, contextual tagging, adaptive output rendering, on-demand model switching.

Explore this layer
2

Runtime AI Governance: The Control Layer

A live, zero-trust control system that enforces your policies at the exact moment an AI agent acts. Observer Agents monitor every interaction. Execution Interception blocks violations before output is rendered. You decide: Stop, Restart, or Continue.

Technologies: Observer Agents, Execution Interception, distributed identity, intent-based controls, identity-aware audit logs.

Explore this layer
3

Data Foundations: The Encryption Layer

AI agents query encrypted datasets using standard SQL, without decryption keys and without moving data. Field-level zero-trust controls travel with the data itself, enforced at runtime regardless of location.

Technologies: ATOMIC ENGINE (AES-256 encryption), SEID (searchable encryption in data), PRISM (field-level policy enforcement), BEAMS (dynamic data transformation).

Explore this layer
Who It Serves

Built for industries where a wrong answer is a liability.

Each deployment is mapped to the specific regulatory, operational, and data requirements of the vertical. These are not generic use cases. They are architectures.

Defence & Intelligence

Classified data must cross coalition boundaries for joint analytics, without exposure on untrusted infrastructure.

SEID queries encrypted classified datasets across coalition networks. PRISM micro-perimeters travel with data. BEAMS provides differentiated access by clearance level.

→ Joint analytics without data exposure.

Defence & Intel Solutions →

Financial Services

PII and financial data exposure in AI-driven trading workflows. Shadow AI proliferating across desks with no audit trail. Regulatory audit requirements increasing quarterly.

Observer Agents provide continuous compliance monitoring. Identity-aware audit logs record every AI-assisted decision. Bounded agent storefront eliminates unsanctioned AI use.

→ Complete audit trail for every AI action, ready for the regulator before they ask.

Financial Services Solutions →

Pharma & Healthcare

PHI exposure in multi-modal AI analysis. HIPAA and GDPR compliance requirements. Manual data de-identification bottlenecks delaying research by weeks.

QZ Sentinel auto-redacts PHI across 69+ languages with format-preserved output. PRISM enforces purpose-based PHI controls. BEAMS transforms data for AI/ML pipelines while maintaining compliance.

→ Privacy-preserved AI for life-critical data.

Pharma & Healthcare Solutions →

Government

Strict attribute-based access requirements. Cross-agency data sharing risks. Need for auditable AI decision trails across jurisdictions.

PRISM enforces RBAC + ABAC at the field level. Distributed identity management across agencies. Full identity-aware audit logging for every AI interaction.

→ Programmatic governance at the speed of policy.

Government Solutions →
Ecosystem

Plays well with existing infrastructure

Works with the cloud, data, and enterprise systems you already run. No vendor lock-in required.

Clouds

Google Cloud
Microsoft Azure
AWS

Data & Systems

Snowflake
Databricks
Teradata
Salesforce
SAP
ServiceNow
Available Now
Google CloudAvailable onGoogle Cloud Marketplace
Ready to Deploy On
Microsoft Azure Coming SoonAWS Coming Soon

Map your AI agent use cases to a governed architecture.

In 90 minutes, the QuantumZero team will walk through your agent landscape, data environment, and compliance requirements, and show you exactly how Photon deploys in your stack.

atomic@quantumzero.io  ·  US: +1 (415) 994-2722  ·  EU/CH: +41 78 314 13 69