Services

Senior engineering for software, AI, and cloud systems.

Each engagement is scoped around business outcomes, system boundaries, performance targets, and a delivery model your team can sustain.

01

Custom platform engineering

Product-grade software for teams that cannot afford fragile systems.

We design and build Symfony, API, data, and cloud-native platforms with measurable reliability targets and a clean domain model.

Capabilities

  • Symfony 8 platforms
  • API-first systems
  • CQRS where it pays off
  • Domain-driven modularity

Outcomes

  • Shorter delivery loops
  • Lower operational load
  • Systems that stay understandable

02

AI implementation

LLM, agent, and automation programs that move beyond prototypes.

We integrate OpenAI, Claude, local models, retrieval pipelines, evaluations, and human approval flows into production applications.

Capabilities

  • Agent orchestration
  • RAG and data pipelines
  • Model evaluation
  • Guardrails and audit trails

Outcomes

  • Reliable AI workflows
  • Traceable decisions
  • Faster knowledge operations

03

Cloud architecture and DevOps

Infrastructure that scales horizontally without becoming a second product.

We prepare Docker, Redis, queues, observability, CI/CD, and deployment paths for AWS, OVH, and GCP.

Capabilities

  • Container platforms
  • Redis and queues
  • Zero-downtime deploys
  • Cost-aware observability

Outcomes

  • Predictable deployments
  • Clear runbooks
  • High-traffic readiness

04

Long-term technical consulting

A senior engineering partner for architecture, delivery, and technical decisions.

We work alongside leadership and delivery teams to reduce risk, review architecture, and guide complex modernization programs.

Capabilities

  • Architecture reviews
  • Delivery governance
  • Security posture
  • Team enablement

Outcomes

  • Sharper decisions
  • Cleaner ownership
  • Less rework

AI delivery model

AI work is separated into strategy, build, and operate loops.

AI opportunity mapping

We identify workflows where LLMs, agents, and automation create defensible operational leverage, then define risk controls and ROI metrics before build starts.

  • Use-case scoring
  • Data readiness
  • Risk model

Production implementation

We ship retrieval, tool use, queue-backed automations, model routing, and evaluation harnesses inside maintainable Symfony applications.

  • RAG pipelines
  • Agent tools
  • Evals

Observability and improvement loops

We instrument prompts, data access, costs, latency, and human review outcomes so the system improves safely after release.

  • Quality dashboards
  • Cost controls
  • Feedback loops