We build SaaS applications for startups, SMBs, and enterprise software teams covering the full product lifecycle from MVP to enterprise-scale rollout.
Every SaaS product we build is designed for the specific business model it serves. That means multi-tenant data isolation, subscription billing integration via Stripe, Paddle, or Chargebee, role-based access control for multi-user products, API-first backend design, and SOC 2-aligned security built in from the first sprint. Products are deployed on AWS, Google Cloud, or Azure with Kubernetes orchestration, CI/CD pipelines, and zero-downtime deployment.
SaaS consulting covers the decisions that define long-term product success multi-tenant versus single-tenant architecture, build-versus-buy evaluation for subscription billing and authentication, pricing model design, API strategy, and compliance scope covering SOC 2, GDPR, or HIPAA depending on the vertical. We deliver a documented technical and business specification that your engineering team can build from, or that we use as the basis for development.
We build SaaS applications from frontend to infrastructure React or Next.js interfaces, Node.js or Python backends, PostgreSQL or MongoDB data layers, and AWS or Google Cloud deployment. Architecture follows API-first design with REST or GraphQL, role-based access control for multi-user products, and tenant isolation for multi-tenant data separation. UI/UX is designed around the specific user roles in your SaaS product admins, end users, and account owners each navigate different workflows and need different interface patterns.
SaaS optimisation covers the gap between a working product and one that performs under real user load. We address load time, database query performance, API response latency, caching strategy using Redis and CDN, and frontend bundle size with each fix benchmarked before and after. On the product side, we analyse feature usage data to identify low-adoption areas, run A/B tests on onboarding flows and pricing pages, and implement in-app engagement patterns that reduce early churn..
Multi-tenant architecture allows a single SaaS instance to serve multiple customers from shared infrastructure reducing per-tenant infrastructure cost and simplifying deployment. We implement multi-tenancy using one of three patterns depending on your isolation requirements: shared database with tenant ID column for lowest cost and highest density, schema-per-tenant for moderate isolation on the same database server, or database-per-tenant for highest isolation required in strict compliance environments. Tenant onboarding, data isolation, and cross-tenant reporting are built into the architecture from the first sprint.
We migrate legacy SaaS applications to modern cloud-native stacks using a phased approach extracting individual services from monolithic codebases using the strangler fig pattern, migrating databases with zero-downtime cutover strategies, and running parallel environments during the transition period. For infrastructure migrations from on-premise or older cloud setups to AWS, Google Cloud, or Azure, we handle Terraform-managed infrastructure provisioning, container migration to Kubernetes, and CI/CD pipeline reconfiguration.
Post-launch support covers three tiers L1 for user-facing issues, configuration changes, and access management with a four-hour response target; L2 for application-level bugs, integration failures, and performance degradation with a two-hour response target; L3 for infrastructure incidents, security vulnerabilities, and data integrity issues with a one-hour response target. Support plans include monthly security patch cycles, quarterly compliance review reports, uptime monitoring, and structured sprint retainers for product iteration.
Our SaaS engineering team works across the full stack React and Next.js on the frontend, Node.js, Python, and Go on the backend, PostgreSQL and Redis for data, and AWS or GCP for infrastructure. DevOps practice covers Terraform for infrastructure as code, Docker and Kubernetes for container orchestration, and GitHub Actions for CI/CD. We do not subcontract core engineering work.
We run two-week sprints with a working, deployed increment delivered at the end of each sprint not a demo. Sprint reviews include technical acceptance criteria covering security controls, API contract compliance, and performance benchmarks. You have direct access to your engineering team throughout, not a project manager relay.
Security architecture for SaaS covers encryption at rest using AES-256 and in transit using TLS 1.3, tenant data isolation, RBAC with least-privilege access, audit logging for all data access events, secrets management via HashiCorp Vault or AWS Secrets Manager, and penetration testing before each major release. For SOC 2 Type II compliance, we produce the audit trail documentation, access control evidence, and change management records required for your trust service criteria evaluation. GDPR and HIPAA compliance architecture is scoped at discovery based on your data types and target markets.
We architect SaaS platforms for user base growth from the start horizontal scaling with auto-scaling compute groups on AWS EC2 and GCP Managed Instance Groups, database read replicas for high-read workloads, Redis caching for session and query performance, and feature flag systems using LaunchDarkly or Unleash for controlled rollouts. Multi-tenant architecture is designed with the isolation level your compliance requirements demand not defaulted to the lowest cost option.
We begin with a discovery phase covering your value proposition, target users, pricing, positioning, and compliance needs. Key SaaS decisions include multi-tenant architecture, billing platform, authentication strategy, and frameworks like SOC 2, GDPR, or HIPAA resulting in a product brief and roadmap approved before development.
Before development begins, we produce an Architecture Decision Record covering the multi-tenant data model, API design in REST or GraphQL, authentication strategy using OAuth 2.0 for consumer SaaS or SAML 2.0 for enterprise SSO, subscription billing integration approach, and infrastructure topology on AWS, GCP, or Azure. This document is reviewed and signed off by your technical lead before a line of code is written because architecture decisions made here directly affect compliance scope, scaling cost, and long-term maintainability.
We design SaaS interfaces around the specific user roles in the product admins, end users, and account owners navigate different workflows and need different interface patterns. Deliverables include annotated wireframes per user role, a component library, and interactive prototypes validated with representative users before development begins. No development budget is committed to an unvalidated interface.
We provision cloud infrastructure using Terraform for version-controlled, repeatable environment setup across development, staging, and production. Container orchestration uses Kubernetes or ECS depending on scale and team expertise. CI/CD pipelines via GitHub Actions or GitLab CI automate testing, security scanning, and deployment with zero-downtime blue-green or canary release strategies. Environments are isolated per tenant where compliance requires it.
Development runs in two-week sprints. Every sprint has SaaS-specific acceptance criteria built into the definition of done RBAC permission validation, subscription billing event handling, tenant data isolation verification, audit log generation, and API contract compliance. No feature is considered complete until those criteria are met. Your team receives a working, deployed build at the end of every sprint to test against real product behaviour.
QA for SaaS products covers functional testing, API contract validation, load testing under expected concurrent user volumes, OWASP ASVS Level 2 security testing, tenant data isolation verification, subscription billing edge case testing including failed payments and dunning, and penetration testing before each major release. SOC 2 compliance evidence access logs, change management records, and test documentation is produced throughout.
Post-launch support runs on a tiered SLA model L1 for user-facing issues at four-hour response, L2 for application-layer bugs at two-hour response, L3 for infrastructure and security incidents at one-hour response. Monthly security patch cycles, quarterly compliance review reports, and structured sprint retainers for product iteration keep the platform current as your user base and feature set grow.
We integrate AI into SaaS products using OpenAI API and Anthropic Claude API for LLM-powered features including in-product chat, document summarisation, and intelligent search. For custom ML model training and serving when product data volume justifies it, we use Google Vertex AI and AWS SageMaker. Vector databases including Pinecone, Weaviate, and pgvector support RAG implementations that ground AI outputs in your SaaS product's own data. Streaming API responses deliver real-time AI output without blocking the UI. AI features in regulated SaaS verticals healthcare and financial services are scoped with human-in-the-loop workflows and explainability requirements before architecture begins.
For product analytics, we integrate Segment for event tracking and data pipeline management with downstream connections to Mixpanel or Amplitude for product team dashboards and PostHog for open-source self-hosted deployments. For embedded analytics the dashboards your customers see inside your SaaS product we build custom React visualisation layers using Recharts or D3.js for full UI control, or integrate headless BI tools including Cube.js and Metabase for faster analytics feature delivery. For SaaS products handling large data volumes, we implement data warehouse architecture using BigQuery, Snowflake, or Redshift with a dbt transformation layer to power analytics without impacting operational database performance.
For performance-driven multi-region deployment, we implement: active-active or active-passive configurations depending on consistency requirements, global load balancing (AWS Route 53 latency-based routing, GCP Cloud Load Balancing, Cloudflare) to route users to their nearest healthy region, read replica databases in secondary regions to reduce cross-region query latency, and CDN-delivered static assets (CloudFront, Fastly) for sub-100ms global content delivery. For compliance-driven data residency, we implement region-locked data stores with contractual guarantees covering processing location, and infrastructure-as-code (Terraform) configurations that make adding new residency regions a repeatable, low-risk operation. For multi-tenant SaaS, residency configuration is set at the tenant level, enterprise tenants with EU data residency requirements are assigned to EU-region infrastructure while other tenants remain in the default region.
DentaSmart is a mobile app that uses AI and 3D tech to simplify dental care, from early diagnosis to personalized treatment.
DentaSmart is a mobile app that uses AI and 3D tech to simplify dental care, from early diagnosis to personalized treatment.
There isn’t one fixed price because every project is different. The cost mostly depends on what you want to build and how complex it is. You can schedule a free consultation with our team to discuss your idea, explore options, and get a clear estimate based on your goals.
Every project goes through clear stages, research, design, development, testing, and review, so nothing feels rushed or uncertain.
Quality for us starts from how we plan, not just how we code.
Yes, absolutely.
We often work with clients who already have running systems or databases. Our team can analyze your current setup and build custom integrations using APIs or other secure methods to connect new features with your existing software.
Yes, absolutely.
We often work with clients who already have running systems or databases. Our team can analyze your current setup and build custom integrations using APIs or other secure methods to connect new features with your existing software.
Yes, absolutely.
We often work with clients who already have running systems or databases. Our team can analyze your current setup and build custom integrations using APIs or other secure methods to connect new features with your existing software.
Yes, absolutely.
We often work with clients who already have running systems or databases. Our team can analyze your current setup and build custom integrations using APIs or other secure methods to connect new features with your existing software.
Yes, absolutely.
We often work with clients who already have running systems or databases. Our team can analyze your current setup and build custom integrations using APIs or other secure methods to connect new features with your existing software.
How much does it cost to build a SaaS application?
How much does it cost to build a SaaS application?
