Services that turn requirements into resilient systems.

We deliver software as concrete artifacts:

Target architecture, decisions, implementation, and operational readiness. Security-by-design is the default; we apply AI where it delivers measurable value-backed by evaluation, guardrails, and monitoring.

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AI SystemsAI capabilities and systems that run in production-built with evaluation, guardrails, and monitoring.

Security EngineeringSecurity-by-design from threat modeling to hardening-verifiable, traceable, and auditable.

Software EngineeringDelivery with clear standards-maintainable, testable, performant, and shippable.

Architecture & Target StateFrom current-state analysis to target architecture-decisions, interfaces, and roadmaps clearly defined.

Cloud & PlatformPlatforms that accelerate delivery-CI/CD, runtime, observability, and SLOs included.

Data & IntegrationAPIs, events, and integrations-cleanly versioned, scalable, and robust in distributed systems.

Collaboration models that fit your delivery

From targeted expertise to end-to-end ownership - clearly scoped, easy to integrate, and scalable on demand.

Embedded EngineeringSenior expertise embedded in your team-architecture, implementation, and reviews where it matters most.

Seamless integration into existing teams, processes, and toolchains
Hands-on delivery plus pairing, reviews, and enablement
Focus on bottlenecks, critical paths, and quality
Scales from a single engineer to a mini-squad

Feature SquadA dedicated team ships clearly scoped features-including tests and release readiness.

Shared scope with a clear Definition of Done
Delivery incl. tests, documentation, and a handover package
Predictable iterations with transparent progress
Optional: operational integration or a clean handover

Architecture & Delivery ReviewIndependent reviews for architecture, security, and delivery-resulting in a prioritized action plan.

Architecture/security assessment with risk-based prioritization
CI/CD, observability, and operational readiness in focus
Quick wins plus a mid-/long-term roadmap
Outcome: clear decisions-not a slide graveyard

Build-to-Run (End-to-End)Ownership from discovery to operations-with measurable quality targets and reliable delivery.

From discovery and architecture through production
SLOs/SLIs, monitoring, and runbooks from day one
Security-by-design and release engineering built in
Handover or long-term continuity (optional)

How we typically start:The exact flow depends on the collaboration model. For Embedded Engineering, integration and enablement come first. For Feature Squads and Build-to-Run, we define scope, interfaces, and quality gates more upfront-so ownership and deliverables stay unambiguous at all times.

Align on goals, constraints, and risks in 60-90 minutes-so the setup is right from the start.

Select the collaboration model, clarify interfaces and ownership, and define deliverables and the working agreement.

Establish iteration cadence, quality gates, and transparency-with clean reporting and measurable outcomes.

AI Systems

AI as a product capability or a platform building block-engineered so quality, risk, and operations are controllable from day one.

Use Case & Scope

Clarify value, boundaries, and operational reality before locking in architecture or models.

Architecture & Integration

Integrate AI into systems-with clean interfaces, data flows, and clear ownership.

Evaluation & Guardrails

Make quality and risk measurable-before rollout and continuously in production.

AI Ops & Monitoring

Monitoring, cost controls, incident readiness, and clean rollouts.

Security Engineering

Security-by-design across architecture, delivery, and operations - with verifiable outcomes instead of checklist theater.

Threat ModelingMake risks visible early and translate them into concrete actions.

Threat model (context, trust boundaries, data classification)
Prioritized findings + action plan (owner/deadline)
Verifiable security requirements (DoD - ready)
Top abuse cases + recommended controls (concise)

Secure SDLCSecurity gates in reviews, CI/CD, and releases - reproducible and team - scalable.

CI/CD security gates (scans + policies)
Review/merge criteria + handling rules for findings
Vulnerability workflow: SLAs, triage, fix strategy
Security in the Definition of Done (clear & verifiable)
Supply chain baseline (e.g., signing/SBOM, when appropriate)

IAM & Zero-Trust BasicsAuthN/AuthZ, least privilege, and service-to-service security without overengineering.

Role/permission model (least privilege)
AuthN/AuthZ flows (incl. token lifecycle)
Service-to-service security concept (mTLS/token)
Secrets/key management baseline (rotation, access, audit)
Auditability minimum: who can do what, when, and why

App- & Cloud HardeningSecure defaults and guardrails for runtime, networking, and configuration.

Hardening plan (app + runtime + cloud)
Baseline configurations (secure defaults)
Network/access policies (minimal, but effective)
Logging/audit concept without data risk
Runtime controls (limits, image policies, sandboxing - when relevant)

Software Engineering

Delivery with clear standards - so maintainability, performance, and ship velocity stay intact long-term.

Frontend

Structured, accessible, and performant-with clean state management and a solid design system.

Backend

Clear domains, stable interfaces, robust failure paths - for teams and operations.

Database & Data

Data models, migrations, and performance - without a later debt explosion.

Code Quality & Structure

Standards that make teams faster - clarity over dogma.

Architecture & Target State

From current-state analysis to target architecture: document decisions, sharpen interfaces, plan migration realistically.

Current-State Analysis & Target StateContext, constraints, and quality attributes as an executable target state.

System context (C4 L1/L2) + critical flows
Target state + prioritized quality attributes
Risk/dependency view + decision points
Roadmap/phasing plan (realistic, team-scalable)

Resilience & ScalabilityDesign fault tolerance and scalability intentionally - not patch it later.

Resilience patterns by criticality (concrete)
SLOs (availability/latency/error rates)
Failure - mode catalog (concise, actionable)
Load/peak behavior: limits, backpressure, degradation

Modernization & MigrationStepwise transformation without a big bang - alongside product delivery.

Migration path (phases, risks, dependencies)
Compatibility strategy (contracts, data, releases)
Cutover/rollback options (if needed)
Decommission plan (cleanly retire legacy systems)

Domain Design & Service BoundariesCut responsibilities cleanly so teams can deliver independently.

Domain/context split (bounded contexts - light)
Ownership model (team boundaries & interfaces)
Integration strategy between contexts (API/event)
Anti - corruption layer / translation rules (where needed)

Interfaces & ContractsDefine APIs and events so versioning and evolution remain predictable.

Contract standards (API/event) + naming/versioning
Error and retry semantics (consistent)
Compatibility rules + deprecation policy
Minimize consumer impact (backward compatibility)

Governance & ADRsMake decisions traceable so architecture doesn't become a matter of opinion.

Initial ADR set (key decisions)
Architecture principles (short, enforced)
Review/governance mechanics (cadence, criteria)
Guardrails for teams (templates, checklists-light)
Decision log / traceability (minimal, but clean)

Cloud & Platform

Platforms that accelerate delivery - with CI/CD, observability, and operational maturity as the default.

Platform Baseline

Foundation: identity, networking, policies, environments, golden paths.

CI/CD & Release Engineering

Reproducible releases with clear quality gates and fast feedback loops.

Observability & SLOs

Make operations controllable: dashboards, alerts, tracing - and clear targets.

Performance & Cost

Think scaling and cost control together - without surprises.

Data & Integration

APIs, events, and data flows - designed so versioning, scaling, and operations work in distributed landscapes.

API Design & ContractsInterfaces as contracts: clear, versioned, compatible.

API guidelines (short, enforced)
Contract definitions + versioning rules
Standardized error/status model
Compatibility checks (review- / CI-ready)

Eventing & MessagingAsynchronous, robust, and traceable - with clear semantics.

Event semantics & naming (clear)
Retry/DLQ concept (operations - safe)
Consistency/outbox plan (if needed)
Consumer standards (idempotency, replays, ordering)

Schema & Data GovernanceVersioning and data quality without slowing teams down.

Versioning rules + compatibility policies
Data-quality checks (pragmatic, automatable)
Ownership/accountability (lightweight)
Deprecation policy (clean transitions)

Integration ObservabilityMake distributed flows visible - from producer to consumer.

Correlation/tracing concept (end - to - end)
Dashboards (lag/failures/throughput)
SLOs for critical integration paths
Incident playbooks for integration outages
Alert policies (high-signal, not noisy)