Agents that
finish the job.
Ordin plans, routes, governs and ships agent work. One prompt in, a finished job out, every step on the record.
Every job starts as a sentence. Not a workflow.
Ordin reads intent, not keywords. Words are tokenized, weighed and drawn into the core before a single agent wakes.
ReconcileQ3invoices,flaganythingoverbudgetanddraftthevendoremails.
One prompt. Six specialists.
The core wakes only the agents a job needs, hands each a scoped brief and keeps them in one shared memory.
01Planner
Splits the job into nine ordered steps
02Researcher
Pulls the Q3 ledger and 212 contracts
03Analyst
Finds 14 invoices over budget
04Coder
Writes and tests the reconcile script
05Critic
Re-checks every figure against source
06Courier
Drafts 14 vendor emails for sign-off
Agents improvise. Policies don't.
- 01
Scoped permissions
Each agent touches only the tables, tools and inboxes its brief names.
- 02
All-or-nothing runs
A job settles in full or rolls back. No half-paid batches.
- 03
Spend ceilings
Limits live on the action itself, not in a prompt someone can talk around.
- 04
Human sign-off
Anything outbound waits in a queue until a person approves it.
- 05
Full audit trail
Every token, tool call and decision is signed and replayable.
Six layers. One runtime.
Everything an autonomous system needs in production, in one place, so you never glue five vendors together with cron jobs again.
01Runtime
Durable execution that survives restarts, retries and week-long jobs.
02Memory
Vector and graph recall, scoped per agent and per customer.
03Tools
840 typed connectors, from Postgres to payroll.
04Guard
Policies that travel with every action an agent takes.
05Evals
Regression tests for model behaviour, run on every deploy.
06Observe
Traces, costs and one-click replays for every run.
Autonomy without oversight is a liability, so every agent that runs on Ordin is scoped, budgeted, reviewed and replayable from the first run.
Built for the work agents actually create. Measured, not promised.
Tokens routed every day
Median routing latency
Runs finished without a retry
Lower inference spend
- PlannerSplit job_8821 into 9 steps across 4 agents.0.4s
- AnalystReconciled 312 ledger rows, flagged 14 invoices over budget.1.6s
- GuardDenied one wire transfer above the spend ceiling.0.2s
- CourierDrafted 14 vendor emails and queued them for sign-off.2.0s
Priced per run. Not per prompt.
Starter
For one builder shipping a first agent.
$0
Free forever- 10,000 runs a month
- 3 agents per job
- Community support
- 7-day trace history
Scale
For teams running agents in production.
$49
/ month- 500,000 runs a month
- Unlimited agents
- Policies and sign-off queues
- 90-day replays
- SSO and audit export
Enterprise
For regulated work and private deployments.
Custom
- Dedicated regions
- Bring your own model
- Private VPC runtime
- 24/7 named engineer
Trusted by teams who hand agents real work.
We replaced four internal tools and a pager rotation with one Ordin workflow.
Questions, answered.
Still deciding? An engineer can walk your team through a live run in thirty minutes.
Which models does Ordin support?
Any model with an API, plus your own weights on a private runtime. Route per agent, fall back per step, and swap providers without touching a workflow.
How do policies stop an agent mid-run?
Policies sit on the action, not the prompt. A tool call that breaks a scope, a spend ceiling or a sign-off rule is denied before it executes, and the whole run rolls back.
Where does my data live?
In the region you pick, encrypted at rest and in transit. Memory is scoped per agent and per customer, and nothing is used to train models.
Can a person approve steps before they happen?
Yes. Mark any action as outbound and it waits in a sign-off queue with the full trace attached. Approve it, edit it or send it back.
What happens when a run fails?
Every step is checkpointed. Ordin retries from the last good step, and you can replay the run with one click to see exactly what each agent saw.
Hand it the job. Keep the rules.
Free for the first 10,000 runs. Bring your own model, keep your own data, ship your first agent this afternoon.