Build multi-tenant SaaS platforms that are AI-native and built to scale

We choose the right isolation model for your risk and scale needs, from shared schema with row-level security to per-tenant databases, and enforce it everywhere.

Yes. We implement plans, trials, metering, and usage-based pricing with Stripe, so billing and entitlements stay in sync with your product.

We build SSO, audit logs, RBAC, and encryption from the start, giving you a clear path to SOC 2 and the controls enterprise buyers require.

We design AI into the core workflows, search, automation, and insights, rather than adding a chatbot on the side, so intelligence is felt throughout the product.

Cost scopes to tenant model, billing complexity, and compliance needs (SOC 2, RBAC). We quote a fixed price after scoping your product spec, not a generic SaaS-starter fee.

Cost scopes to the problem, not a headcount rate card. After a free AI audit we return a fixed, itemized quote tied to clear milestones, so you know the number before any work starts.

Fixed price, tied to outcomes and scope. We don't bill open-ended hours — every engagement has a defined plan and cost agreed upfront.

Most engagements produce a working, data-validated prototype in 2–4 weeks, with full production rollout typically inside one quarter depending on scope and integration complexity.

Yes — we scope a proof of concept against your real data first, so you see measurable value before signing off on the full production build.

Security is built in by default: HIPAA, SOC 2 and GDPR-aware architecture, encryption in transit and at rest, role-based access control, and full audit logging on every deployment.

No, not without your explicit consent. Your data is used to serve your deployment — it is never used to train models for other clients.

Yes. We support private-cloud and on-premise deployments hosted within the UAE and wider GCC, so data-residency requirements are met without sending your data offshore.

Yes — for teams with strict compliance or residency requirements, we deploy self-hosted open models or private cloud infrastructure instead of public model APIs.