The all-in-one marketing platform

AI marketing automation across every channel.
One customer record.

Social publishing, paid advertising, CRM journeys, customer messaging and website analytics — systems that normally do not talk to each other — built as one platform. What the ads learn, the CRM knows. What happens on your site changes who gets messaged next.

Four systems

Everything a marketing team runs, natively connected

Each of these would normally be a separate purchase, a separate login and a separate customer list. Here they share one record, so automation can run across channels instead of stopping at the edge of one.

Social Media

Compose once and publish across eight platforms with per-platform variants, a content calendar, an approval queue and post-level analytics.

Replaces your scheduler Social Media

Advertising

Five ad networks with their real controls — placements, bid strategies, retargeting audiences, pixels and conversion events — plus one spend view across all of them.

Replaces five ad managers Advertising

CRM

Contacts, dynamic segments, lifecycle stages, journeys, broadcasts, templates and a shared inbox for every inbound conversation.

Replaces your email and automation tool CRM

Analytics & Tracking

Around 40 kinds of meaningful action on your own site or app, conversion funnels, heatmaps, session replay and built-in consent management.

Replaces your analytics and heatmap tools Analytics & Tracking
Inside the four systems

Every module, on the same record

WhatsApp messaging, the website chatbot, heatmaps and session replay are part of the same platform, not add-ons with a customer list of their own.

The shared customer record

The part that cannot be added later

A competitor can ship a feature. They cannot retrofit a single customer record underneath four products that were built separately. This is the structural difference, and everything else follows from it.

Ad interactionWhich campaign, which creative, which network
Site behaviourPages, actions, funnels, recordings
ConversationsChat, social, WhatsApp, email replies
Message historyWhat was sent, opened, clicked, skipped
Model scoresChurn risk, conversion probability, channel preference
Live segmentsAudiences that update themselves
JourneysBranching on what someone actually did
Ad audiencesConversions reported back to the networks
No export step exists anywhere in that chain, because there is only one record to read from.
A Nommos contact record combining advertising interaction, website behaviour, model scores and conversation history
Controlled AI execution

The platform holds the context. The agents do the work.

Seven specialists, each owning a slice of the operation, all reading from the same record — and each with its own autonomy setting. Whatever you hold back waits in an approval queue; whatever runs is recorded in the audit trail.

They run on a schedule you set

Posting times, refresh intervals and notification windows are configuration, not fixed behaviour.

They are off until you turn them on

A new workspace starts with every agent disabled. Enable them one at a time as you connect each channel.

They say when they are not ready

An agent missing a connected account or a schedule shows Setup Required instead of failing quietly.

They show their work

A live activity feed while they run, a daily brief of what changed, and an audit trail of every action.

The platform layer

The parts that make it usable by more than one person

Isolated brand workspaces

Each brand has its own separated data, branding, currency, timezone and team. One login moves between them; nothing crosses over.

Roles and permissions

Permissions are set individually, so a freelancer, an analyst, a client and an administrator each get exactly what they need.

Audit trail

Every action is recorded — which matters more when some of those actions were taken by an agent rather than a person.

Consent management

A consent platform is built into the tracking library, with categories, expiry, versioning and support for the browser's Global Privacy Control signal.

Three interface languages

English, French and Spanish, switchable per user.

Per-brand currency

Each brand reports in its own currency. Where several are involved in one figure, the metric is split by platform rather than adding different currencies together.

Against the usual arrangement

The four-tool stack, and what changes

The usual stack On Nommos
A scheduler that does not know what the ads did
Publishing and advertising reporting to the same dashboard
Four or five ad managers, each with its own vocabulary
One campaign list across five networks with one spend total
An email tool whose contact list is a monthly export
Segments that update themselves as behaviour changes
Analytics that stops at the platform boundary
Site behaviour feeding the same record the ads and CRM use
A separate heatmap and session-replay subscription
Heatmaps and replay included, linked from the funnel step that failed
A separate consent tool
Consent management built into the tracking library
Reporting assembled by hand every Monday
A dashboard where any number can be clicked and explained

See the whole thing against your own channels

A short walkthrough of the dashboard, the approval queue, a segment built on a model score, and a journey tested without sending anything.