One control plane for every model, every agent.
Opal is the operating layer for business operations and the digital workforce. Connect any frontier or private model, govern how agents are used, control token consumption, and run accountable execution across the enterprise. Without rebuilding your operating model every time the AI market shifts.
Not an AI tool. Not a dev platform. An operating system.
The market has flooded the enterprise with AI tools and developer platforms. What it has not delivered is a system to actually run a digital workforce. One place to manage which models are used, by whom, for what work, at what cost, with what controls, against what outcomes.
That is the gap Opal fills. Model-agnostic by design, governed by default, and built around the way operating leaders actually measure the business. Risk, throughput, quality, and cost.
Four layers. One operating system for the digital workforce.
The connective tissue between your systems, your people, and the agents and models doing the work, without locking you into any of them.
Connect systems, knowledge, and workflows
Bring the systems, data, knowledge, and workflows that already run the business into one connected operating layer. Model-agnostic by design, so any AI you adopt plugs into the same foundation instead of becoming another silo.
Orchestrate people and AI
Opal orchestrates the digital workforce so your people, agents, and models work against the same plan. Decisions, conversations, tasks, and handoffs flow through one shared system instead of improvised across disconnected copilots.
Execute with accountability
Turn intent into outcomes you can measure. Every task, flow, and agent generates the signals you need to track performance, quantify impact, and feed operational intelligence back into the business as it runs.
Govern models, agents, and spend
Granular control over model selection, agent behavior, token consumption, access, and audit. Enterprise AI that leadership and regulators can defend at any scale of adoption.
Bring any model. Govern every token.
Most AI platforms steer you toward their model, their pricing, their ecosystem. Switching becomes a re-platforming project because your prompts, workflows, knowledge, and operating IP are trapped in one vendor stack. And your CFO inherits a cost line nobody controls.
Opal inverts that. Frontier, open-source, and private models all run inside one governed operating layer with policy on which model is used for which work, real-time visibility into agent activity, and hard controls on token consumption and spend. Swap the model. Keep the business intact.
Knowledge
Governance
Frontier reasoning, multimodal, and code-grade generation.
Every primitive you need to operationalize AI.
Composable building blocks. Designed to work together, governed by default.
Flows
Structured multi-step business processes with logic, approvals, and human review.
Spaces
Shared environments for teams, accounts, departments, and initiatives.
Tasks
Accountable units with ownership, status, context, and AI support attached.
Threads
Conversations connected to decisions, tasks, workflows, and knowledge.
Insights
Performance, adoption, bottlenecks, and outcomes. Visible and improvable.
Governance & Security
Permissions, guardrails, access control, auditability, secure controls.
Eleven primitives to configure how Opal runs.
The underlying pieces you compose, version, and govern, so the core modules behave exactly how your business needs them to.
Agents
AI entities that reason, collaborate, and act inside structured workflows.
02Connectors
Connect Opal to the systems your business already runs on.
03Guardrails
Policy, quality, review, and approval controls for AI-enabled work.
04Knowledge
Business information turned into usable context for tasks and AI.
05Memory
Continuity across interactions and long-running operational work.
06Models
Swappable foundation models, governed and routed per use case.
07Prompts
Reusable instruction templates versioned alongside your workflows.
08Skills
Packaged agent abilities composed into repeatable operational work.
09Tools
Callable actions and APIs that agents and flows can invoke safely.
10Variables
Dynamic configuration values shared across flows, agents, and tasks.
11Widgets
Embeddable UI components that surface Opal inside the tools you use.
Replace the stitching with an operating layer.
With point tools, organizations end up stitching together chat, automation, documents, ticketing, reporting, and governance on their own. Opal connects those pieces into a coherent system.
- 01Better visibility into how work actually moves
- 02Less manual coordination between tools and teams
- 03Faster rollout of repeatable use cases
- 04Stronger control over how AI participates in work
- 05Freedom to adapt as models and providers evolve
Designed for governance, permissions, auditability, SAML, and secure integrations.
Start building on a safer, more flexible AI operating layer.
Explore the platform, create your account, and see how Opal fits the way your business runs.