Internal knowledge search
Prepare documents and design retrieval-augmented generation (RAG) with scoped access and source references.
Build AI assistants that retrieve company knowledge, reference source documents and respect access permissions. Add human approval before sensitive actions.
These are service options. The proposal defines the agreed scope and deliverables for your project.
Prepare documents and design retrieval-augmented generation (RAG) with scoped access and source references.
Connect conversation channels or existing APIs. Define permitted actions, staff handoff and approval rules.
Assess data quality and baseline models before choosing training or fine-tuning. Evaluate on data held apart from training.
Agree test cases, acceptance owners and launch conditions before handover. Warranty periods, support coverage and response times are defined in the contract.
Bring example questions, documents you are permitted to use, integration requirements and data-residency constraints. Do not submit confidential data through the website form.
If your team is based abroad, tell us your country, time zone and preferred language so we can assess scheduling and project constraints together.
No. We assess existing models with retrieval or API integration first. Training requires suitable data and evaluation evidence to justify the cost.
We assess data requirements, budget and hardware together. Feasibility depends on the selected model and infrastructure.
No. Evaluation, source references and escalation to a person are needed when information is insufficient or the task carries risk.