SimplicitySuite Platform

SimplicitySuite is the CRM and data backbone that powers LayerEight engagements. It’s a Postgres-first backend designed so your database is the system of record — external tools plug into it, not the other way around.

The platform is hosted at simplicitysuite.app. Technical documentation lives in the platform repository.

Canonical CRM Schema

Contacts, companies, deals, pipelines, tasks, and activities — all tenant-scoped in Postgres with typed enforcement (E.164 phones, normalized emails, ISO currencies).

Orders, Bookings & Affiliates

Native commerce orders with line items, first-class booking records with lifecycle tracking, and a full affiliate module with multi-tier commissions.

Integration Adapters

External tools like ActiveCampaign, ClickFunnels, and schedulers push events into your schema via webhook adapters. They're source_system values, not owners of your data.

Identity Resolution

Cross-system identity registry (crm_contact_external_ids) resolves contacts across vendors without vendor-specific columns polluting your core tables.

Partner-Hosted Deployments

Your fork, your host. Partners run their own infrastructure with a shared API/schema/ops contract. No vendor lock-in — you own the database and release pipeline.

SOC-2 Aligned Operations

Tenant isolation, encrypted secrets, GDPR consent records, structured audit logs, and a compliance baseline designed for enterprise procurement questionnaires.

How it works in practice

When you bring on a new tool — a funnel builder, a scheduler, an email platform — it gets a webhook adapter that writes into the canonical schema. Contact identity is resolved through the external-ID registry, not by adding vendor-prefixed columns to your contacts table.

The result: you can swap vendors without a data migration. Your CRM schema stays stable, your reporting stays consistent, and your automations keep running.

For technical buyers who want to go deeper, the full schema docs, API contracts, and architecture decision records are maintained in Git and available on request.

Want to see the schema?

Book a call and we’ll walk through the data model and how it maps to your existing stack.

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