“Why were sales down last week?” It looks across everything you run — your store, your orders, your traffic — finds the reason, and tells you the next move. Then it can keep watching, and message you the moment something needs you.
answers across every system · finds the why · tells you what to do
Why we’re different
You hire an AI employee once and give them something to watch. From then on they work on their own — around the clock, across your systems — and come to you the moment something needs a decision. No prompt. No dashboard to check.
Sales are down 41% this week. Three variants have been out of stock since Sunday — traffic held steady, so it’s supply, not demand.
Chase these four purchase orders first — I’ve drafted them for you.
you didn’t ask — she came to you
The platform
Unified querying over systems that never talked to each other. Ask in plain language; the platform reasons over live data across your stack and shows every step.
Define an agent in plain language and it runs around the clock — monitoring signals across your systems, reasoning about what changed, and routing to the right people with context to act.
Governance is the architecture. Per-tenant kernel isolation, connection secrets held by a broker the AI cannot read or bypass, read-only by default, and full data ownership — enforced below the application.
Ask across everything
Your data lives in ERP, CRM, commerce, and analytics — each behind its own login. Ask in plain language and the platform reasons over all of them at once, reads live figures, checks what changed, and returns an answer with the action to take. Every step names its source, so the number is traceable, not a black box.
Analytics: traffic — steady — within baseline
Search Console: organic rank — unchanged
Odoo: checkout — payment step erroring since 14:00
It is not demand — traffic and organic rank held within baseline. The EMEA checkout has been failing at the payment step since 14:00, accounting for the entire shortfall.
Escalate to the payments team, and deploy an agent to monitor checkout success so this surfaces automatically.
Autonomous agents
Describe what an agent should watch and when to act — in plain language. It reasons over your connected systems, runs around the clock, and routes to the right people with the context to act. These are illustrative; there is no fixed catalogue.
Flags deviations across regions and channels, and isolates the driver.
Warns before stock-outs or supplier delays hit fulfilment or revenue.
Surfaces high-value opportunities stalling past their stage SLA.
One narrative across finance, ops, and pipeline — written, not exported.
Projects runway from payables and receivables, flags shortfalls early.
Catches campaigns and cost centres burning budget faster than they return.
Monitors operational thresholds and escalates breaches with context.
Reads usage and support signals to flag at-risk accounts before renewal.
If your systems hold the signal, an agent can monitor it and act on it — deployed across the organisation, governed the same way everything else is.
Request a demo →Integrations
Six systems ship with a governed, guided connector — each brokered, so the platform queries them without ever holding the credential.
Beyond these, the platform reaches any system with an API — and larger engagements get custom integrations built for your environment. Tell us what you run.
What buyers evaluate
We had the data in six systems and no way to ask a question across them. Now a director can ask in plain language and get an answer that names its sources — that traceability is what let us trust it with real decisions.
The isolation and the credential broker were the reasons this cleared our security review. The assistant queries our systems but never holds a key, and each tenant is its own environment. That is a real boundary, not a policy statement.
We deployed agents to watch revenue and pipeline across regions. They run around the clock and route to the right team with the context to act — it replaced a standing meeting whose whole job was noticing things late.
Illustrative of the outcomes and evaluation criteria we build for — not statements attributed to named customers.
Security & governance
Governance is not a page you find later — it is the architecture. Four controls hold on day one, enforced below the application, not promised in a policy document.
Every company runs in its own kernel-isolated environment — a dedicated container, not a row in a shared table with a tenant column. Tenants cannot see, reach, or infer one another.
Connection secrets are held outside the workspace by a broker. The assistant can query your systems through it, but cannot read or extract a credential — and cannot bypass the broker to reach your systems directly. That boundary is enforced at the network layer.
The platform reads to answer. It cannot modify your systems of record unless you explicitly grant write access to a specific system — so connecting a live production system is safe from the first minute.
Your data stays yours. We do not retain your conversations, and everything the platform produces is yours to export at any time. No lock-in — leave and take all of it with you.
Enterprise controls
Available on request or on our roadmap for larger engagements. Tell us your compliance, identity, and deployment requirements and we will walk you through what we support today and what we can commit to.
Get started
Engagements are scoped to the systems you connect, the agents you run, and the governance you require. Start with a walkthrough — we will size it with you.
A single function getting started across a few systems.
Core platform, governed connectors, agents.
Multiple teams operating across the connected stack.
Higher throughput, more agents, priority support.
Organisation-wide deployment with governance requirements.
SSO, audit, residency and SLAs — scoped with you.
A walkthrough on your systems, your governance requirements, and a scoped path to production.
A walkthrough on your systems and your governance requirements, and a scoped path to production.