Custom SaaS Development

The backbone of any SaaS product is its backend — and getting it wrong is the most expensive mistake you can make. We design PostgreSQL schemas with multi-tenant isolation from the start, using row-level security policies and tenant-scoped indexes that keep queries fast as your data grows. Our API layers are built in Node.js with TypeScript for end-to-end type safety, structured around clear domain boundaries that map to your business logic. We implement connection pooling, query optimization, and read replicas so your database handles thousands of concurrent users without breaking a sweat. Every migration is versioned and reversible, and every schema change is tested against production-scale data before it ships.

SaaS billing is deceptively complex. Plan tiers, usage-based pricing, prorated upgrades, failed payment recovery, tax compliance, invoicing — each one is a rabbit hole that can consume weeks of engineering time if handled ad hoc. We integrate Stripe or your preferred payment processor at a deep level, building billing logic that handles every edge case: trial-to-paid conversions, seat-based licensing, overage charges, dunning flows that recover failed payments automatically. Our billing systems generate audit-ready invoices, handle multi-currency pricing for international customers, and expose a self-service portal where your users manage their own subscriptions without creating support tickets.

Your internal team needs visibility into what is happening across your platform — user activity, revenue metrics, system health, feature adoption. We build admin dashboards in React with real-time data pipelines that surface the metrics that matter. These are not generic analytics overlays; they are purpose-built interfaces designed around your operational workflows. Customer support sees user timelines and can impersonate accounts for debugging. Finance sees MRR, churn, and cohort analysis. Engineering sees error rates, API latency percentiles, and deployment history. Every dashboard loads in under two seconds and updates in real time via WebSocket connections.

A SaaS platform that cannot integrate is a SaaS platform that cannot grow. We build APIs that are versioned, rate-limited, and documented with OpenAPI specifications that generate SDKs automatically. Our webhook delivery system handles retries with exponential backoff, dead letter queues, and delivery logs so your customers can debug integration issues themselves. We design GraphQL schemas for complex data relationships and REST endpoints for simple CRUD — choosing the right tool for each use case rather than forcing everything through one paradigm. OAuth2 and API key management are built in so third-party developers can integrate securely from day one.

Enterprise customers demand security before they demand features. We architect SaaS platforms with security built into every layer — not bolted on before an audit. Authentication uses industry-standard protocols: OAuth 2.0, SAML for enterprise SSO, and multi-factor authentication with TOTP and WebAuthn support. Role-based access control is implemented at the API level with granular permissions that map to your customers' organizational structures. Data encryption covers both transit (TLS 1.3) and rest (AES-256), with key rotation policies managed through your cloud provider's KMS. Audit logs capture every significant action with immutable, tamper-evident storage that satisfies SOC 2 and GDPR compliance requirements. We implement data residency controls so you can guarantee where customer data lives, and build data export and deletion workflows that handle right-to-erasure requests without manual intervention.

A SaaS product that is slow is a SaaS product that churns. We instrument every layer of the stack with distributed tracing, structured logging, and real-time alerting so you know about performance regressions before your users do. Our infrastructure-as-code approach using Docker and AWS means your staging environment is an exact replica of production — no more surprises at deploy time. We configure auto-scaling policies, CDN caching strategies, and database connection management that keep your p99 latency under 200ms even during traffic spikes. Load tests run in CI so every pull request is validated against realistic traffic patterns before it merges.