LangChain
One interface to every major model provider, so each agent runs on the model that suits its job and can change model without losing its conversations.
Olano is an AI agent platform for business. Its agents answer on WhatsApp, pull from your CRM, file the report on schedule - and ask before anything leaves the building. The work your team repeats, handled.
Deploy in minutes on Olano Cloud. From $25/month, cancel anytime.
The roster
Start from a template, or describe the job in plain English and let Olano build it.
Answer every enquiry in seconds. Reads the WhatsApp message, checks your calendar, books the slot, and escalates anything unusual to a human.
Live demo - no signup
The agents on the right run on Olano, on our own WhatsApp and Telegram. Ask about pricing, book a slot, or try to catch them out.
Opens in your own WhatsApp or Telegram - your number stays private.
Inside the dashboard
Company control room
Which agents are running, what they did today, and what it is costing you.
Which agents are running, what they did today, and what it is costing you.
Its instructions, the model it runs on, what it remembers, and the channels it answers on.
450+ tools across built-in connectors and any MCP server you point it at.
Morning briefings, month-end reports, low-stock checks - on a schedule.
Fully autonomous out of the box: Cortex learns skills, sharpens memory and improves itself on a schedule, every change logged and reversible. Prefer to sign off first? Switch it to approvals.
How it works
The model writes the words. Remembering, connecting, acting and knowing when to stop and ask is the platform around it.
Who builds it
We build the Olano platform — Core and Cortex — and deliver it as managed deployments, with design and implementation through Olano Studio and senior engineers involved in every engagement.
Olano Cloud
You pay for capacity, not headcount. Unlimited agents, people and connections on every plan.
Pay yearly and save 10% on any plan.
or $270 a year, billed yearly
Trying it out with one agent and a channel or two.
Sized for 1–3 agents
or $540 a year, billed yearly
A first small setup with scheduled work.
Sized for 2–6 agents
or $1,080 a year, billed yearly
Running real operations across a team.
Sized for 4–12 agents
or $1,620 a year, billed yearly
Busy, customer-facing work around the clock.
Sized for 8–24 agents
or $2,700 a year, billed yearly
A large roster, many workflows at once.
Sized for 16–48 agents
Need more than Max, or Enterprise terms such as custom integrations and an SLA? Larger dedicated machines are available on request. Talk to us.
Agent ranges are a guide to capacity, not a cap - create as many as you like on any plan. The low end of each range fits agents that are busy all day; the high end fits agents that answer a few messages an hour. What fills an instance is how much runs at the same moment, not how many agents exist: one Starter agent can serve thousands of customers over a day, just not a thousand at the same time. Size for your busiest hour - conversations at once, agents working in parallel, heavy scheduled jobs - and move up a plan whenever the box starts to feel slow. Credits cover Olano-managed model usage and top-ups never expire; plug in your own provider keys instead and that usage bills to you. See every plan and what it includes.
Questions
ChatGPT waits for you to open it. An Olano agent lives on the channels your customers already use, keeps its own memory of your business, acts in your systems through 450+ tools, and runs on a schedule while nobody is watching.
Whatever you have approved it to do. Every agent has an approval boundary you set: read-only research needs no sign-off, while sending an email, spending money or changing a record can be held for a human. Everything it does is on an audit log.
In your own isolated deployment, not a shared tenancy. If prompts and documents must never leave your building, you can self-host Olano and run open models on your own GPU.
Whichever you pick, per agent, and you can change it later without rebuilding the agent. Use the models included with your plan, bring your own provider keys, or run open models locally.
An AI agent that works alongside your team on a defined job - answering customer messages on WhatsApp, pulling figures from your CRM, filing the weekly report - with its own memory of your business and an approval boundary you set. On Olano, each teammate is an agent you give a role, tools and a schedule. What AI agents are, and what running one takes.
Software for running AI agents that do ongoing work rather than answer one prompt: each agent keeps its own memory, connects to your tools and messaging channels, runs on a schedule, and asks a human before high-impact actions. Olano is one, running in your own isolated deployment and managed for you, from $25/month. How to choose one, and the honest list of alternatives.
A deployment is provisioned in minutes and arrives with a working agent. Shaping it around a real workflow - connecting your systems, setting approvals, teaching it your procedures - is the part worth doing properly, and it is what Olano Studio does with you.
Get started
Olano builds the platform. Olano Cloud runs it. Olano Studio implements it.
Create your deployment on Olano Cloud and build your own agents in the dashboard. Hosting, updates, monitoring, snapshots and model access are in the plan price.
Our Singapore team maps the workflow, designs the agent team, connects your systems, configures approvals and keeps improving it in production - on top of your Cloud deployment.
Not sure yet? Message a live agent - it runs on the same platform, and it costs you nothing to ask it anything.
Under the hood
Every Olano agent runs on LangChain's open-source stack: LangChain for the models, LangGraph for durable, resumable runs, and Deep Agents for planning, files and subagents. Olano adds what a business needs on top: your channels, approvals, a credential vault and managed hosting.
One interface to every major model provider, so each agent runs on the model that suits its job and can change model without losing its conversations.
Every step of a conversation is saved as it happens, so threads survive restarts and an approval can pause the work until a person decides.
The habits of a capable worker: a plan it keeps up to date, a real workspace, subagents to hand work to, and summaries when a conversation runs long.
Guides
Plain answers to what teams ask before they build: how agents reach tools, browsers and each other, how to build and sell one, and what to check before you choose a platform.
Seven builders checked on what only shows up in production: channels, approvals, isolation, spend caps and exit.
Seven options matched to the reason you might leave, with the cost and what to move before you switch.
How agent cards and tasks work in v1.0, and a checklist for letting agents talk to other agents safely.
The official servers worth connecting, how each one signs in, and which actions to hold for approval.
An AI in your own signed-in browser, or an agent with a sandboxed browser of its own: which suits which job.
BotFather step by step, then the no-code route to an AI bot with memory, an allow-list and Stars payments.
Subscriptions, trials and a paywall that runs before the model, with a worked Stripe example and the Telegram Stars rules.
An agent that pulls your data, charts it, refreshes it on a schedule and publishes it as a password-protected page.