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Forticer
Capabilities & services

Four practices. One standard: production.

Depth where the outcome is decided. Every practice is built to survive contact with production, inside the infrastructure you already run.

Practice

Generative AI & Enterprise LLM Orchestration

Forticer builds GenAI, retrieval augmented generation and agentic systems that run in production, inside the infrastructure the client already operates. The hard part is rarely the model. It is the data around it, the guardrails, and the integration with systems the business already depends on. One accountable owner takes the build from first commit to a system your team can run.

Working stack

Azure OpenAIAWS BedrockVertex AILangGraphpgvectorRagas evals
Scope a Generative AI engagement

What we deliver

RAG pipelines with retrieval evaluation
Agentic workflows with permissioned tool use
Guardrails, policy enforcement and red-team reports
LLM gateway with routing and cost controls
Fine-tuning and prompt-ops playbooks
Human-in-the-loop review consoles

Delivery workflow

01Ground02Retrieve03Reason04GuardShip
Practice

Production Data Engineering

Forticer designs and builds the data foundation that AI and analytics depend on: lakehouses, warehouses and streaming pipelines, cloud native on AWS, Azure or GCP. Work happens inside the environment you already run, and every build is handed back to a team that can operate it without us.

Working stack

SnowflakeDatabricksKafkadbtAirflowSparkTerraform
Scope a Production Data Engineering engagement

What we deliver

Lakehouse and warehouse architecture, migration included
Streaming ingestion, CDC and Kafka at scale
ELT with dbt, tested, versioned, documented
Data contracts and quality gates in CI
Governance, lineage and cataloguing
Cost and performance engineering (FinOps)

Delivery workflow

01Ingest02Model03Orchestrate04ObserveServe
Practice

Analytics, BI & Predictive Intelligence

Forticer builds analytics and BI that people actually use: dashboards, KPI frameworks and self-service models, delivered with full knowledge transfer so your team owns them at handover. Every metric ties back to a decision someone has to make.

Working stack

dbt Semantic LayerPower BITableauPythonscikit-learn
Scope a Analytics engagement

What we deliver

Executive KPI frameworks and semantic layer
Decision-grade dashboard suites
Forecasting and propensity models
Experimentation and causal analysis
Self-service enablement and training
Full knowledge transfer, documented

Delivery workflow

01Define02Model03Visualize04PredictTransfer
Practice

Custom Software & MLOps

Forticer builds custom software to a precise business goal: transformative systems, not throwaway pilots. Scoped to a fixed outcome, built to production, and owned by one accountable person from first commit to launch.

Working stack

FastAPIKubernetesMLflowTerraformGitHub ActionsGrafana
Scope a Custom Software engagement

What we deliver

CI/CD for ML (build, eval, promote, rollback)
API architecture and scalable backends
Model registries and feature stores
Observability, SLOs and on-call runbooks
Security reviews and access design
Infrastructure as code, end to end

Delivery workflow

01Design02Build03Evaluate04DeployOperate
Ready when you are

Scope it with the person who will build it.

No handoff from sales to delivery. The owner who scopes your engagement is the one who builds it and answers for it.

Book a discovery call