About Callario
We’re rebuilding support around one AI system.
Callario is an all-in-one, AI-native platform for customer support and customer experience — AI agent, Copilot, inbox and ticketing, workflows, knowledge and help centre, CRM, reporting and QA — built on one data model, so the AI and your team always work from the same facts.
- Founder-led, built from June 2026
- A supervised design-partner alpha
- English and Arabic from day one
Callario at a glance
Onboarding partners- What
- An all-in-one, AI-native platform for customer support
- Stage
- Supervised design-partner alpha
- Building since
- June 2026
- Company
- Founder-led
- Languages
- English · العربية (right to left)
- Customers reach it via
- Website widget · chat page · help centre · email · WhatsApp · Slack · Telegram · Messenger · Instagram · SMS
Connects to your appsShopify, Salla, Stripe, Jira, HubSpot, Cal.com and more
Customers to nameNone yet — and we won’t invent any
01The thesis
Not AI bolted onto a helpdesk.
Support built around it.
Most support tools added AI as a layer over a ticketing system designed for people: a bot with its own copy of the customer, a knowledge tool beside it, a CRM somewhere else. The AI sees a slice, and every handoff loses something. Callario starts from the other end — one system the AI agent, Copilot, workflows and reporting all read and write.
AI added to a helpdesk
- The bot keeps its own copy of the customer
- A handoff starts the story again
- AI suggestions ignore what your team already solved
- Automation can’t see what the AI did
Built around one system
- One record per customer, read by every module
- A handoff arrives with a briefing and the full transcript
- Copilot cites your resolved tickets and internal articles
- Workflows start when the AI proposes or verifies a resolution
02Why one data model
Six things you only get
when it’s one system.
- Handoffs keep the threadWhen the AI agent hands off, your teammate gets an AI briefing, the transcript and the customer’s record — the same facts the agent was reading.
- Copilot learns from your own workDraft replies cite the tickets your team resolved and your internal articles, numbered so a person can check each source.
- Automation sees the AIAn AI resolution, a breached SLA or a new message can start a workflow, and a workflow step can run the AI agent.
- One source of answersAn article you publish feeds the AI agent and your help-centre portal at once — and the questions the AI couldn’t answer show up as gaps to draft from.
- Privacy rules travel with the recordConsent and personal-data filters on the customer record decide what any AI may know about that customer.
- Quality judged in one placeAutoQA scores AI resolutions and a sample of human conversations against the same rubric, beside CSAT and SLAs.
03Built today
Ten modules.
One product.
Each of these is in the product now. Every page says plainly what the module does — and what it doesn’t do yet.
AI AgentAnswers customers on your website — a branded widget or a hosted chat link — in English and Arabic.AI · Grounded in your help centre and resolved tickets; every reply checked before it is sent.CopilotAn AI teammate inside every conversation your team handles.AI · Summarises a ticket and drafts replies with numbered citations a person can check.Inbox & TicketingTickets and AI chats in one queue, with SLAs, macros, merge and split.AI · Triage reads intent, sentiment and language; matching articles appear beside each ticket.Routing & SLAsQueues, skills and capacity, with every assignment explained.AI · Queues can route on AI-detected intent, sentiment or language.Workflows & RulesNo-code automation with approvals, waits, test runs and version history.AI · Describe a workflow in plain language and AI drafts it; AI steps write, classify and extract.Knowledge & Help CentreYour help centre, and the source of every AI answer.AI · A writing assistant in the editor; new articles drafted from solved tickets and content gaps.Contacts & CRMOne lifelong record per customer, with companies, segments and consent.AI · Decides exactly what the AI may know about each customer — consent- and PII-filtered.Reporting & QAAI quality, team performance, SLAs and CSAT in one place.AI · AutoQA scores AI resolutions and a sample of human conversations against your rubric.GuardrailsThe checks, limits and records around every AI conversation.AI · Prompt-injection, grounding and toxicity checks on every turn; low confidence hands off.API & WebhooksA scoped REST API and signed webhooks, retried and replayable.AI · The agent can look up a verified customer’s record on your own endpoint.
04How we work
Five rules
we hold ourselves to.
They shape the product and the way we talk about it — including on this site.
- 01Say what’s live, and what isn’t.Every product page separates what works today from what isn’t built yet. Customers reach Callario on your website, a hosted chat page, the help centre, email, WhatsApp, Slack, Telegram, Messenger, Instagram and SMS — and where something isn’t built, the page says so.Live and not-yet, labelled plainly
- 02Your data trains nothing.Your conversations, articles and customer records serve your workspace and are never used to train models. Each workspace is isolated at the database level, and customer records support GDPR export and erasure.Per-workspace isolation in Postgres
- 03A person is always one step away.A customer can ask for a human at any time. The agent also hands off on frustration, a loop or low confidence, and your team can take over any conversation.Handoff with an AI briefing
- 04Check the AI before the customer sees it.Every reply passes prompt-injection, grounding and toxicity checks before it is sent, and an evaluation gate can hold an agent back from publishing until it passes.Run traces of every AI conversation
- 05Arabic is a first language here.The widget and the agent work in English and Arabic from day one — right to left, replying in the customer’s language. The prompt-injection and resolution checks read Arabic too, Gulf and Egyptian phrasing included.English and Arabic since the first release
05Where we are
Early, founder-led,
and plain about it.
Callario is a supervised design-partner alpha. It is built and run by its founder, and each partner is set up by hand on real conversations.
- June 2026Building beginsThe platform is built from the ground up on one data model — agent, inbox, workflows, knowledge, CRM and reporting together.
- Mid-2026The design-partner alpha opensCallario runs in production at callario.com, and the first partners are onboarded by hand, under supervision.
- October 2026Every channel, and actions in your appsEmail, WhatsApp, Slack, Telegram, Messenger, Instagram and SMS go live; the AI agent acts in Shopify, Salla and Cal.com, and workflows act in Stripe, Jira, Slack and the other apps you connect.
- NowOnboarding design partnersA small number of teams, each set up with the founder on their real conversations.
- NextMore teams, more connectorsMore design partners, more ready-made connectors, and the features they ask for first.
Design-partner programme · now onboarding
Help shape what it becomes.
Design partners run Callario on real conversations, set up with the founder, and get a say in what ships next.