AI-accelerated enterprise full-stack delivery
Scale your delivery without compromising architecture or security.
Functional Customer Management Portal
in 4 weeks
Our CTO, Krzysztof Wróbel, took a multi-tenant Customer Management Portal from concept to a functional MVP in under 30 days.
This project isn't a "lab experiment" or a collection of AI-generated snippets but the practical result of applying our domain expertise to modern delivery tools.
We’ve proven that when you combine architectural thinking and high-velocity automation with quality and security guiderails, the result is the right software, built right the first time.
What our approach can deliver? The CMP example
To show how our framework performs under the pressure of actual data center environments, we built a multi-tenant management layer designed for high-load scaling. This is a working proof of the results we can deliver for your stack in just 30 days.
Compute & Lifecycle
Operators manage virtual machines directly from the portal – from initial provisioning to day-to-day operations – without touching the hypervisor CLI.
- VM provisioning with cloud-init automation
- Full lifecycle control – start, stop, restart, migrate
- VNC and terminal console access through the browser
- Snapshot management with GFS retention policies
- Scheduled operations – recurring start/stop, maintenance windows, snapshots, Ansible based automations
- VM templates for standardized provisioning
- Resource tagging and annotations
Identity & Access
Each organization gets its own isolated identity space with fine-grained control over who can do what.
- SSO integration via Keycloak (SAML, OIDC, Active Directory)
- Granular RBAC – Viewer, Operator, Provisioner, Tenant Admin
- Invite-only user model with team-based permissions
- Project-level access scoping
- Team-based organizational structure within tenants
Multi-tenancy & Isolation
Multiple customer organizations share one CMP instance while remaining fully separated at every layer.
- Tenant-per-realm identity separation
- Row-level security at the database layer
- Per-tenant and per-team quota management
- Organization-level branding and configuration
Observability & Compliance
Teams get real-time visibility into resource consumption, costs, and a complete record of every action taken in the system.
- Real-time resource monitoring – CPU, memory, storage, network
- Cost tracking and usage dashboards per tenant and team
- Complete audit trail of all user actions
- Resource outlier detection – high/low CPU, memory utilization
- Billing and chargeback dashboards per team
- AI-powered operations assistant
How is it secured and scaled?
Our engineering methodology puts architectural guiderails first to ensure your MVP is a production-grade foundation, not a temporary prototype.
Stack & Architecture
- -Async Python backend (FastAPI) with React and TypeScript on the frontend
- -PostgreSQL with row-level security policies for tenant data isolation
- -Federated identity management via Keycloak with server-side session handling
- -Pluggable adapter pattern – new hypervisor backends integrate without rearchitecting the core of the system
Security by Design
- -Backend-for-Frontend OAuth2 – tokens stored server-side, never exposed to the browser
- -Policy-based access control engine for fine-grained authorization
- -Invite-only user model – no self-registration attack surface
- -Structured audit logging with configurable retention
Scalability
- -Designed for horizontal scaling with stateless application layer and externalized sessions
- -Non-blocking I/O across the full stack for high-throughput request handling
- -Orchestration layer with concurrency controls and distributed locking to prevent duplicate execution
- -Validated under production-representative load across all major views
Code Quality & Deployment
- -Pre-commit quality gates – static analysis, type checking, and test coverage enforced before every commit
- -Continuous source code quality monitoring – complexity, duplication, and security vulnerability tracking across the project lifecycle
- -CI/CD pipelines with automated validation on every merge
- -Containerized deployment with infrastructure-as-code
- -Real-time observability – metrics, centralized logging, and monitoring dashboards
- -Correlated structured logging for end-to-end request tracing
Take the lessons we learned
building the CMP and apply
them to your own stack.
Book a short session to see if we are the right fit.
Book a 15-min call
Business impact
While traditional methods are too slow and pure AI-driven development often leads to messy code, our framework delivers the middle ground – high-speed delivery with zero technical debt.
A predictable time-to-market
Move from concept to a production-validated MVP in a fraction of traditional development cycles.
Reduced operational risk
Security, audit trails, and governance are "day zero" features, not afterthoughts.
Extreme scalability
The architecture handles thousands of virtual machines and processes hundreds of thousands of system requests and events, maintaining sub-second response times even under heavy load.
A maintainable future
Every line of code is backed by "Project Memory" (Claude.md), ensuring your internal team can take over a clean, documented, and tested codebase.
Our process
Predictable delivery requires a clear sequence. We establish architecture and security standards from the start to keep the project on track.
However, our workflow remains flexible. As the frontend and backend logic take shape, we constantly loop back to refine our initial models. This keeps the project’s "source of truth" live and prevents technical debt from building up. It is a structured path that adapts as we build.
Zero-fluff technical brainstorm
Book a 15-minute technical session to discuss your specific stack and how to apply our high-velocity engineering framework to your project’s goals.
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