Agentic OS for your enterprise.
Agents, tools and team knowledge in one place, with a named person in control of the decisions that matter.
Why OrmisOne
What every agent needs, provided by one operating system.
Relevant context
Context scoped to the team and the task.
Appropriate access
Each agent reaches only what its team allows.
Coordinated work
Tasks and hand-offs run from one place and resume where they paused.
Operational visibility
You see what runs, what it reaches and what it spends.
Accountable decisions
A named person at consequential steps, on a tamper-evident trail.
Platform
A true agentic OS.
One connected model for org, teams and agents.
Backend · team
3 agents · inherits from Platform EngSet once on a team, inherited by every agent and sub-team below.
- Teams and ownership mirror your org chart.
- Organisation rules are mandatory; teams add, never remove.
Release · run #412
blocked · waiting on APR-2318$0.57 model spend so far · attributed to Backend › release-agent › release.
Agents on workstations, in production or run by OrmisOne; workflows pause for a person and resume.
- Each run is on behalf of a person and a task.
- Cost and duration per step, attributed to team, agent and workflow.
Backend · knowledge administrator view
4 available · 1 excludedShared knowledge and relevant context, scoped to each team and task.
- What a team may not see is withheld, however worded.
Tools reachable by Backend agents
One door to tools and internal systems, with models on your own keys per team and step.
- Short-lived gateway tokens, issued per request and scoped to the action.
- Tenants are separated at the data layer, not by convention.
release-agent wants to deploy search-api 1.8.2 to prod/eu-west
Guardrails checked before execution, a named approver where it matters, and a tamper-evident trail.
- The decision itself is recorded on the trail.
- Entries are hash-linked inside their own chain, so the trail is verified.
A workflow in action
One ticket, start to finish.
One fictional task, BE-1182, “login timeout”, through nine steps to the fix, two named approvals and the recorded cost.
- Ticket09:40
- triage10:18
- architect11:06
- ApprovalSam · 11:14
- build12:31
- qa13:26
- ApprovalSam · 13:58
- devops14:09
- Summary$1.34 · 14:20
Scroll the track sideways to see every step.
Model spend · $1.34 across six agents · 09:40 → 14:20 · four of the nine nodes ran no model at all.
Step 1 of 9
What to notice
Login timeout on identity-api in prod/eu-west
Reproduce, narrow, and ask the reporter exactly one question when the report is ambiguous.
Modelsmall model · 11 calls · $0.04 recorded
Write one plan: smallest change that removes the cause, with a named rollback.
Modellarger model · 6 calls · $0.46 recorded
Plan · a rollback for each part
architect-agent asks to proceed with the plan for BE-1182
identity-api in prod/eu-west, 4 pods
Implement the approved plan only; add tests; ask before widening scope.
Modeltwo models · $0.47 recorded for the step
Two pull requests
Test the plan's acceptance criteria; report flakes, never fix them.
Modelsmall model · 9 calls · $0.22 recorded
Run against eu-west staging
devops-agent asks to deploy 2.14.3 to prod/eu-west
Ship 2.14.3 to prod/eu-west
Canary one pod first, roll the rest, roll back on any regression.
Modelsmall model · 7 calls · $0.15 recorded
Deploy · run #7741
Verified on the same workload and artifact as QA.
Model spend · BE-1182
Summary posted back to the ticket
Guardrails are enforced at the tool and model boundary; checks are the step's own acceptance tests.
Where you are
How AI adoption evolves.
OrmisOne joins at whatever stage you are at and takes you to autonomous operation, governed at every stage.
Individual
Engineers run agents on their own workstations, each set up differently.
Team
One team shares prompts, tools and connectors.
Organisation
Several teams roll out agents, each solving part of the problem.
Autonomous
Repeated work runs end to end as agent workflows, with a person at key steps.
Pricing
Priced by how you run it, not by what you switch on.
Everything is included wherever you run it. Model spend stays on your own keys, with no markup.
We run it for you. Your agents, keys and data stay yours.
- Bring your own model, or any approved provider
- Start with one team; add teams as you go
OrmisOne in your cloud or on your own hardware.
- Egress limited to endpoints you name
- Inference on your own hardware supported, including on-premise
Questions we get
The short answers.
Can we start with one team?
That's how every engagement starts: one team, in observation mode first; we walk you through it on the call.
What does a first engagement cost to run?
SaaS: hosting is included in the platform fee; model usage is billed separately by your provider. In your environment: the footprint runs on your own infrastructure bill, and we size it with you once we've seen the team.
How do we get a figure?
After a walkthrough. The right setup depends on where your teams are, and we'd rather quote the setup you'll actually run.
Company
Built by engineers who have run production at scale.
OrmisOne is made by Ormis, a Bengaluru company founded in 2026.
About us
Ormis is a small, engineering-led team. Between us, the founders have spent their careers building and operating large-scale production systems across several industries.
Why we are building this
Every organisation wants agents doing real work, and most already have them. What has not kept up is the control around them: nothing says what an agent may reach, when a person must decide, or what happened afterwards.
Production systems earned that discipline over decades. Agents arrived without it. OrmisOne brings it to agents, so teams can hand them consequential work and stay in control.
How we work
We run Ormis on OrmisOne. Governed agents build, review and ship the product under the same access, approvals and audit record we offer customers.
Write to [email protected] or book a 30-minute call.
Talk to us
See it on your own setup.
A 30-minute walkthrough on the agents your teams run today. Nothing to install.