About Spark ERP
One platform, built to run the whole business.
Most organizations run finance in one system, sales in another, HR in a third, and stitch them together with exports, spreadsheets and one-off integrations. Spark ERP's premise is that this shouldn't be necessary — that a modern ERP can be modular enough to adopt one application at a time, and still share one connected data model, one workflow engine and one security layer underneath everything.
What we're building
Spark ERP is a modular, AI-native enterprise platform. "Modular" means you can start with one application — Finance, or HCM, or CRM — and add more as you need them, without a forced big-bang migration. "AI-native" means AI capabilities are built into the platform's own workflow and permission model from the start, not bolted on as a separate product. "Platform" means every application shares the same underlying engines for identity, workflow, integration and multi-tenancy, rather than each team rebuilding those from scratch.
What we build around
Modular by design
Adopt one application at a time. The platform underneath — identity, workflow, security, multi-tenancy — is shared by all of them.
Metadata-driven
Pages, forms, workflows and rules are JSON configuration interpreted by a shared runtime, not compiled per-tenant code. That keeps customization fast without forking the product.
Secure by default
Identity, tenant isolation, encryption and role-based access control are platform services every application inherits, not something each team has to rebuild.
AI built in, not bolted on
AI agents operate under the same workflow and permission model as a human user, rather than sitting outside the system as a separate tool.
See it for yourself.
The best way to understand the platform is to explore it directly.