AI & GenAI
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.
Agentic AI that takes actions, with the guardrails and observability to run unattended.
Retrieval augmented generation grounded in your own data, not a generic model.
Voice and chat agents built to production quality, not as a demo.
The Model Context Protocol as a portable interface across providers, not a lock in.
Retrieval pipelines
Retrieval augmented generation grounded in your own data, not a generic model. We build the retrieval layer and the evaluation that keeps answers accurate as the underlying data changes, inside the infrastructure you already run.
Agentic systems
Agentic AI that takes actions, with the guardrails and observability to run unattended. Every action is logged and reversible, and the agent hands control back to a person when it is uncertain, so scope stays narrow and well guarded.
Output guardrails
Guardrails and policy enforcement built into the system rather than trusted to a prompt, with red-team reports before launch. Limits on what a model can touch and reach are explicit and testable, so nothing reaches production unchecked.