SaaS Development Services We Offer in Detroit
We build SaaS products end to end and we also rescue ones that stalled. Greenfield product work covers domain modelling, multi-tenant data architecture, authentication and authorization, billing, the admin and support tooling nobody budgets for, and the customer facing application itself. Platform hardening covers the work a Detroit founder hits at the first serious enterprise deal: tenant isolation you can prove, single sign on with SAML and SCIM provisioning, audit logging, role and permission models that survive a customer with a complicated org chart, data residency options, and the security questionnaire responses that go with them. Integration engineering is disproportionately important in this market because industrial customers do not adopt a product that cannot talk to what they already run, so we build connectors to ERP systems, EDI transaction sets, dealer management systems, telematics feeds, and health system interfaces. Modernization work moves aging on premise or single tenant deployments onto a real multi-tenant platform without a big bang cutover. Every engagement includes environment and deployment automation, a monitoring and alerting baseline, and documented runbooks, because a SaaS product your team cannot deploy on a Friday is not finished.
Our SaaS Development Development Process
Detroit is Eastern Time, Edmonton is two hours behind, and Chandigarh is nine and a half hours ahead of Eastern during daylight saving time. We use that deliberately. Your 8:30 AM ET product call is 6:30 AM MT for our core team, which means decisions made in that call reach Chandigarh mid afternoon their time and the work lands overnight, so you open the next Detroit morning with something to look at. Discovery is short and concrete: a domain model, a tenancy decision, a first cut of the permission model, and an integration inventory, delivered inside three weeks. We take the tenancy decision seriously early because it is the one that is expensive to change later, and we write down explicitly whether a customer can ever demand a dedicated database, because industrial and healthcare buyers eventually will. Build runs in two week sprints with a demo Thursdays at 2:00 PM ET against a live environment, never a slide. Security work is not a phase at the end: threat modelling happens in sprint one, dependency and secret scanning run in CI from the first commit, and the SOC 2 evidence trail starts accumulating before anyone books an audit. We ship to a staging environment continuously and to production behind feature flags.
Product Strategy & Planning
1-2 WeeksWe validate your SaaS concept, define the MVP feature set, design the data model, and plan the technical architecture for scalable growth.
UI/UX & System Design
2-3 WeeksDesign the user interface, plan multi-tenant data architecture, define API contracts, and create the billing and onboarding flows.
Core Platform Development
8-14 WeeksBuild the SaaS platform with authentication, multi-tenancy, billing integration, core features, admin panel, and customer-facing dashboards.
Testing & Security
2-3 WeeksComprehensive testing including multi-tenant isolation verification, security penetration testing, load testing, and billing edge case validation.
Launch & Growth Infrastructure
1-2 WeeksProduction deployment, monitoring setup, onboarding flow optimization, and growth infrastructure including analytics, feature flags, and A/B testing.
Technologies We Use for SaaS Development
Application layer is TypeScript across the board: Next.js or Remix on the front end, NestJS or Fastify on the API, tRPC or GraphQL where the client and server are ours and OpenAPI where partners consume it. Postgres is the default database and we implement tenant isolation with row level security plus a schema or database per tenant option for customers who contractually require it, because in this market someone will. Background work runs on Temporal when workflows are long lived and stateful, BullMQ or SQS when they are not. Kafka or Redpanda handles high volume event ingestion for telematics and logistics products. Billing runs on Stripe with usage metering built as first class data rather than an afterthought. Identity is Auth0, WorkOS, or Keycloak depending on whether enterprise SSO and SCIM are day one requirements. Infrastructure is Terraform managed, running on AWS us-east-2 in Ohio as the nearest region to Detroit with us-east-1 as the pair, or Google us-east5 in Columbus, or Azure North Central US in Illinois. Canadian tenants selling into Ontario land in AWS ca-central-1 or Azure Canada Central in Toronto. Observability is OpenTelemetry into Datadog, Grafana Cloud, or Honeycomb, with structured tenant scoped logs from day one.
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