PRODUCT
Unified AI execution, governed by design
CAMP Counselor™
Plan, staff, and run work through coordinated teams of AI agents with human oversight built in.
Governance by Design
Enforce policy, control data usage, and ensure every action is auditable and accountable.
Knowledge is Power
Unify institutional knowledge and workflow data into governed, execution-ready context.
Context Pack Plugins
Extend CAMP with industry and company-specific logic, protocols, and data structures.
Platform Capabilities
Integrate across systems, trigger workflows, and deploy reliably in any environment.
PATENT PENDING
CAMP Counselor™
Introducing a fundamentally different AI execution model—built on human team dynamics
The Counselor is a next-generation project manager that goes beyond coordinating agents.
Provide an objective, and the Counselor constructs a full project plan, assembles a diverse team of agents, organizes execution, and governs outcomes—applying the same constraints real project managers use every day: budget, skills, suppliers, and performance.
Agentic teams operate as a collective—not as agents working on isolated tasks.
Teams communicate, collaborate, and work toward a shared objective—escalating decisions up the chain of command when judgment is required, with humans serving as the final arbiter.
GOVERNANCE BY DESIGN
Control is enforced—not assumed
Many AI platforms rely on zero data retention (ZDR) as their primary safeguard—limiting what is stored, but not controlling how data is used, exposed, or propagated during execution.
ZDR does not redact or anonymize sensitive data in real time.
For regulated institutions, that distinction matters.
CAMP combines passive protections with active, execution-level controls—governing not just where data goes, but how work runs. Sensitive data is protected in motion, decisions are constrained by policy, and every action is auditable by design.
Human oversight is also embedded at critical steps—enabling approval, escalation, and intervention when it matters most.
Passive protection where required
Zero data retention, secure storage boundaries, and controlled access
Active data controls in execution
PII anonymization and sensitivity enforcement applied in real time
Policy-driven execution
Constraints enforced across agents, models, and decision flows
Complete auditability
Every action, decision, and outcome fully logged and traceable
KNOWLEDGE IS POWER
Unified institutional knowledge, put to work
Enterprises pour significant time and resources into building complex data pipelines to enhance the context and accuracy of generative AI.
CAMP replaces that complexity with push-button simplicity—becoming the intelligent backbone of your organization.
Short-term workflow data is unified with long-term institutional knowledge across systems, documents, repositories, and teams—governed, controlled, and always available where it’s needed.
Natural language prompts bring together the right data—passages, database rows, and more—whether initiated by a human or an agent.
Unified short- and long-term memory
Bring workflow data and institutional knowledge together in a single, governed layer
No data movement required
Access documents, databases, CRMs, and repositories in place—reducing risk and complexity
Intelligent data retrieval
Natural language prompts surface the right data—passages, rows, and records—automatically
Governed and controlled access
RBAC, tagging, and data scoping ensure only the right users and agents see the right data
CONTEXT PACKS
Providing industry and institutional extensibility for real work
Large language models are powerful—but they’re not always trained on your systems, your data structures, or your industry conventions.
Even when connected to external tools, models are still interpreting instructions in real time—relying on prompts to decide how to call systems, structure data, and apply logic.
That approach works for simple interactions, but it breaks down when workflows require precision, consistency, and control.
Context Packs move that logic out of prompts and into the system itself—embedding protocol semantics, data structures, transformations, and domain knowledge directly into execution.
This is where AI becomes reliable, repeatable, and usable in real environments.
Domain and identifier awareness
Recognize internal and industry-specific identifiers that models aren't trained on
Document-aware processing
Apply the correct memory encoding strategy based on document type
System and protocol integration
Interact with native protocols beyond what models can reliably handle—even via APIs or MCP
Data structure and transformation
Enforce structure across existing systems and workflows
PLATFORM CAPABILITIES
Built for real-world execution
CAMP is designed to operate across systems, scale with demand, and run reliably in production—without requiring custom infrastructure or bespoke integrations.
INTEROPERABILITY
- Works across APIs, protocols, and messaging systems
- Supports MCP and external integrations
- Exposes workflows—not just endpoints
EXECUTION
- Event-driven triggers (schedules, documents, webhooks, queues)
- Composable and embedded workflows
- Coordinate multi-step execution across systems
DEPLOYMENT
- Cloud, hybrid, or on-prem deployment>
- Multi-tenant or single-tenant architecture
- Resilient workflows with auto-recovery (DR/BC ready)