An AI operationalization platform for teams that want to deploy governed agents, centralize organizational knowledge, connect existing business apps, and turn AI into reusable operational workflows.
Built for operational AI
Governed projects, reusable agents, connected knowledge, and repeatable automations give teams a cleaner way to scale AI without replacing the systems they already use.
Manage members, permissions, policies, usage, and security from the company level instead of leaving AI adoption scattered across individual subscriptions.
Separate clients, departments, initiatives, agents, knowledge, and automations into clear project boundaries.
Configure specialized workers for research, analysis, communication, development, and other repeatable business capabilities.
Turn common operational patterns into repeatable workflows that gather context, draft outputs, notify teams, and support review.
Platform Architecture
Spectivis Ops is not a project management system, CRM, document platform, or email replacement. It connects to those systems so AI agents can work with business context while humans remain responsible for review, approval, and governance.
Projects keep each client, department, or initiative in its own context.
Agents, knowledge, apps, and automations live inside those project boundaries.
Threads preserve the actual AI-assisted work, outputs, files, and decisions.
Flexible Hosting
Some organizations cannot store sensitive operational data in someone else's environment. We respect that. Spectivis Ops is designed so it can run independently of the broader Spectivis ecosystem, giving teams a path to keep data inside the infrastructure they trust.
Run Spectivis Ops on your own servers or private network when data residency, compliance, or internal security policies require maximum control.
Deploy into your preferred cloud environment so your team keeps ownership of infrastructure, access controls, networking, and data boundaries.
Let our team operate the infrastructure for you with the same product experience, faster rollout, and less internal maintenance overhead.
Data Security
Spectivis Ops limits external model access to providers that support Zero Data Retention agreements. For stricter environments, Spectivis Vault Models provide an in-house hosted inference path with MiniMax M3 included.
ZDR
Provider requirement
30M
MiniMax M3 tokens included
External model access is limited to providers willing to sign a Zero Data Retention agreement for Spectivis Ops workloads.
Use our in-house hosted model path when third-party inference is not the right fit, with up to 30M tokens of MiniMax M3 included.
Choose self-hosted, your own cloud, or managed Spectivis hosting. We'll help you launch Ops on an infrastructure path built for data control.
