Energy and cleantech platforms that hold up in the field

Multi-tenancy (strict data isolation between clients), complex billing (plans, add-ons, prorata, upgrades), SSO and granular permissions, stable and versioned public APIs.

Each of these is addressed seriously from scoping, not improvised along the way.

We pick the isolation model that fits your context: shared schema, schema per tenant or database per tenant. Each approach has trade-offs on cost, performance and isolation.

For most early-stage B2B SaaS, shared schema with properly configured row-level security is the right balance.

One to two week sprints, continuous production releases, feature flags to test with select customers before general rollout.

The product team keeps a sustainable pace and your first customers see added value every sprint.

Yes. Document generation, form pre-filling, submission to official portals, status tracking: we've automated these workflows on several projects.

Typical gain is 40 to 60% on administrative time per filing.

Multi-vendor abstraction layer (SMA, Fronius, Huawei, Enphase) with data normalization at product level.

The goal is to avoid tight coupling to a single manufacturer: your customers change hardware, your platform shouldn't break.

Strict separation between ingestion (real-time flows), storage (time-series DB like TimescaleDB or InfluxDB) and exposure (API and dashboards).

This architecture scales to tens of thousands of sites without structural rework.