Enterprise
Your organization runs on AI. It needs an operating system — and a safety layer.
Your teams use ChatGPT, Claude, Copilot, Cursor, and more. ROAM gives you the operating layer. EYDII gives you the trust layer. Together: visibility, governance, vendor independence, and behavioral safety across every AI tool in your organization — without reading private work.
No sign-up. Free up to three harnesses.
Architecture
Everything runs locally. Nothing leaves your perimeter.
ROAM is not a cloud service. It is a local operating system that runs on your infrastructure — your machines, your network, your environment. Coordination, memory, handoffs, behavioral monitoring, trust signals, and the entire operating layer run on the file system. No data is sent to Veritera or any third party for coordination or analysis.
Coordination is file operations
Routing, handoffs, status, and agent state are YAML files on disk. No cloud API calls. No external dependencies for the operating layer.
Memory stays on your machines
Organizational memory, decisions, artifacts, and project state are local files. Your IP never leaves the environment you control.
EYDII runs beside the agents
The trust layer runs locally alongside the operating system. Behavioral analysis happens on your infrastructure, not in our cloud.
You control the deployment
Enterprise deployment runs on your servers, your VPC, your air-gapped environment. ROAM fits inside your security posture, not around it.
Only agent work touches the model
The only external calls are the ones your agents make to the AI providers you chose. ROAM coordination adds nearly zero token overhead.
No vendor dependency for operations
If Veritera disappeared tomorrow, your ROAM installation would keep running. There is no cloud backend to shut off.
The problem
AI adoption without a safety layer is a liability.
Your teams are using AI. You have no visibility.
ChatGPT, Claude, Copilot, Cursor — across engineering, marketing, research, and operations. Nobody knows the total spend, who is using what, or what the agents are actually doing with your data.
Security banned AI tools — or wants to.
Data leaving firewalls. Prompt injection risks. Agents taking unauthorized actions. The compliance team is not comfortable, and in many organizations the response is to ban AI tools entirely.
Access control is not enough.
You know who logged in. You do not know what the agent did after that — whether it stayed within scope, whether it fabricated verification, whether it quietly expanded its own mandate.
Every tool is a silo.
Developers use Cursor. Marketing uses ChatGPT. Research uses Claude. No shared memory, no coordination, no visibility. Each team is a walled garden with its own AI shadow IT.
You are locked into providers.
IP, workflows, context, and institutional knowledge are scattered across vendor sessions. Switching from one model to another means starting over. You do not own the operational layer.
AI spend is growing without accountability.
No cost allocation by team, department, or project. No way to compare harness costs. No governance thresholds. The bill arrives and nobody can explain it.
Your agents are running. Who is watching what they do?
Traditional security asks who has access. EYDII asks whether the agent is still behaving like itself. It watches drift, scope creep, fabricated verification, unsafe patterns, and role decay — without reading a single prompt, document, or line of code. Content stays private. Behavior is observed.
Pillar 01
Content-blind
EYDII never reads prompts, code, documents, or agent outputs. It works entirely from behavioral metadata — timing, sequence, scope movement, verification gaps. Your private work stays private.
Pillar 02
Out of runtime
EYDII runs outside the agent runtime. It is not in the prompt path, not in the model call, not in the agent's reasoning loop. A compromised, jailbroken, or socially engineered agent cannot reach, disable, or evade it.
Pillar 03
Trustless
EYDII does not trust the agent's self-report. Trust is derived mathematically from behavioral evidence — not from what the agent says it did. The architecture assumes the agent may be wrong, drifting, or compromised.
Pillar 04
Immutable records
Actions, handoffs, approvals, trust events, and behavioral signals are hashed and recorded immutably. Evidence cannot be altered after the fact — by the agent, by a compromised session, or by anyone.
Content-blind behavioral monitoring
EYDII watches what agents do — not what they see. It detects drift, scope creep, fabricated verification, self-authorization, and role decay through behavioral signals alone. Your prompts, code, documents, and data are never read by the trust layer.
Data stays inside your perimeter
ROAM runs on your infrastructure. EYDII runs beside it, not in the cloud. No data leaves your firewall for coordination or behavioral analysis. The operating system and the trust layer are both local.
Prompt injection does not affect the trust layer
EYDII operates outside the agent runtime. It is not in the prompt path. An agent that is manipulated, jailbroken, or socially engineered cannot disable, modify, or evade the behavioral monitoring layer.
Organizational rules enforced at the system level
Define what agents can and cannot do — not in system prompts that can be overridden, but in the operating layer where rules are structural. Scope boundaries, approval gates, and escalation policies that hold.
Drift detection before the damage is done
An agent can sound confident, report progress, and produce work while its behavior is drifting from role, scope, and evidence standards. EYDII catches it from behavioral signals — not from reading the output.
Containment and recovery
When EYDII flags an agent, suspect work can be quarantined and the role can be replaced with a fresh agent that inherits the same context and memory. The organization recovers without losing progress.
Enterprises that ban AI tools are not wrong about the risk. They are missing the solution. EYDII is the behavioral safety layer that lets you adopt AI with confidence — because the trust architecture does not depend on the agent behaving correctly.
Enterprise governance
Control what agents do — not just who has access.
Access controls tell you who logged in. EYDII tells you whether the agent stayed within scope, verified its claims, followed the rules, and acted like the role it was assigned. That is the gap your security team is worried about.
Audit trail
Every agent action, handoff, decision, and approval is recorded with behavioral metadata. When compliance asks what happened, you have the evidence — without having stored private content.
Trust scores at every level
Agent-level, team-level, and organization-level health. Executives see the overview. Team leads see their agents. The operating team sees the detail.
Policy-grade governance
Approval gates, scope boundaries, escalation rules, and usage thresholds — defined at the organizational level and enforced by the operating system, not by prompt engineering.
Incident response built in
When an agent is flagged, the response path is already defined: quarantine, notify, replace, audit. Not a scramble to figure out what happened after the fact.
Cost visibility
Know exactly where your AI spend is going.
ROAM shows token usage and cost allocation at every level. Compare harness costs side by side. Spot runaway usage before it hits the invoice. Set governance thresholds by team, department, or project.
By employee
See which team members are using which tools, how much, and for what kind of work.
By agent
Track token usage per agent role — researcher, developer, reviewer — across every harness.
By department
Engineering, marketing, research, operations — each department's AI usage in one view.
By harness
Compare what ChatGPT costs you versus Claude versus Gemini versus Copilot. Side by side.
Company-wide
Total organizational AI spend with the breakdown to understand where the money is going.
ROAM overhead
ROAM's coordination cost is shown separately — typically less than 1% of total usage. The rest is agent work.
Token usage at scale
Enterprise burns through tokens. ROAM makes every one visible.
When dozens of teams run agents across multiple harnesses, token spend grows fast. ROAM gives you the visibility to understand where tokens go, compare providers on real workloads, set governance thresholds, and catch wasteful patterns before they compound.
Scale creates token sprawl
A 50-person engineering team running agents across four harnesses can burn through millions of tokens per day. Without visibility, that spend is invisible until the invoice arrives.
Compare harness costs on real workloads
Run the same role — code review, research, documentation — on Claude, GPT, Gemini, and Copilot. Compare token consumption, cost per task, and output quality with actual data from your organization.
Governance thresholds by team and department
Set spend limits and usage alerts at the team, department, or project level. When a threshold is crossed, ROAM surfaces it before the bill does.
Token usage is not ROAM overhead
ROAM coordination adds less than 1% token overhead. The rest is agent work your teams were already doing — now visible, governed, and comparable across providers.
Migration cost modeling
Considering moving from one model to another? ROAM shows projected cost differences based on your actual usage patterns — not vendor calculators.
Runaway detection
Agents in loops, retries on failed tasks, unnecessary context reloads — ROAM flags wasteful token patterns so your team can correct them before they compound.
See the full breakdown on the Token Use page — including how ROAM coordination overhead compares to agent work across realistic scenarios.
Vendor independence
Switch providers without losing your work.
ROAM decouples your operations, your IP, and your organizational memory from the agentic layer. Changing from one frontier model to another is a configuration change — not a migration.
Your IP stays with you
Project memory, decisions, architecture, artifacts, and institutional knowledge live in ROAM — not in vendor sessions that disappear when you switch providers.
Migrate without starting over
Moving from one frontier model to another means swapping a harness assignment, not rebuilding your entire workflow. Memory, roles, and context carry forward.
Compare before you commit
Run the same role on different harnesses and compare cost, quality, and speed. Make provider decisions with real data, not vendor marketing.
Decouple operations from the agentic layer
ROAM sits between your business and your AI tools. Your process, your governance, your IP, and your organizational memory are independent of which models you use.
AI inside the process
Make AI part of how your organization works — not something next to it.
AI becomes part of the process
Like your ERP, your Slack, or your project management tool — ROAM makes AI a managed, governed, visible part of how your organization works. Not shadow IT that people use on the side.
Shared memory across the organization
Decisions, context, and institutional knowledge survive sessions, employee turnover, and tool changes. The organization remembers even when individuals move on.
Onboard new team members instantly
A new employee connects their harness and immediately has access to the project memory, role definitions, and organizational context. No ramp-up period.
Scale without chaos
Add more agents, more tools, more departments — ROAM coordinates them. The operating layer scales. The human burden does not.
Architecture
Eight layers. One operating system. EYDII built in.
ROAM earns the operating-system claim because the same system primitives support every agent: substrate, memory, identity, rules, coordination, trust, and harness independence. EYDII is Layer 06 — the trust layer that watches behavior content-blind, out of runtime, with trustless verification and immutable records.
Harnesses & Roles
Claude Code, ChatGPT, Cursor, n8n, Ollama, local models — all join the same organization without becoming the same tool.
EYDII — Trust Layer
Content-blind behavioral intelligence: drift, scope movement, verification gaps, and health — outside the agent runtime.
Coordination Kernel
Routes work, enforces boundaries, resolves handoffs, and reacts to trust signals without an LLM in the loop.
Rule Intelligence
Approvals, escalation paths, authority boundaries, decision records, and audit events at the system level.
Identity & Privacy
Durable agent identity, authority, receipts, and privacy boundaries — separate from any model session.
Persistent Memory
Canon, journal, archive, decisions, and handoffs survive sessions, agent swaps, and model changes.
File System Substrate
The coordination bus every harness can read and write: tasks, messages, heartbeats, state, and memory as structured local files.
Your Hardware
Your machine, your OS, your keys. The operating layer sits with your projects, not behind a cloud gate.
ROAM coordinates. EYDII watches. Your organization is protected.
Your operations, your IP, your institutional knowledge, and your governance rules live in the operating system — not in vendor sessions that disappear when you switch tools. EYDII ensures that every agent, in every tool, across every department, is behaving the way it should — without your security team needing to read every prompt. Switch models, add teams, scale agents, compare costs, enforce rules — with a trust layer that never sleeps.
Start with your team. Scale to the organization.
Try ROAM with a small team today. When it works, talk to us about enterprise deployment.
No sign-up. Free up to three harnesses.