The foundation every AI needs to answer well
Every knowledge source gets an automated quality score covering completeness, clarity, and retrieval confidence — so you see AI readiness before going live.
Ingest PDFs, help center URLs, product catalogs, internal wikis, CMS exports, and structured databases through a single pipeline.
Hierarchical chunking and AI enrichment ensure content is split and indexed at the right granularity for precise retrieval.
Live content sources re-ingest automatically when content changes — no manual rebuilds when you update a product description or policy.
IQ analysis maps content coverage against your actual support query patterns, surfacing the gaps that cause the most wrong or hedged answers.
AI is only as good as the knowledge it can reach. Most teams discover this the hard way: they launch a chatbot, it gives wrong answers, and trust evaporates fast.
The problem is rarely the AI model. It's the content underneath — scattered across help docs, outdated PDFs, inconsistent product data, and internal wikis that no one maintains. Without structure and quality scoring, every AI system will hallucinate, hedge, or fail at the exact moment a customer needs a clear answer.
Reaktly's Knowledge & AI Data Preparation service fixes the foundation. We centralize your content, assess it against Reaktly IQ quality criteria, restructure it for retrieval, and establish ongoing sync pipelines so your knowledge stays current. The outcome is measurably better AI accuracy, faster time to trust, and a knowledge base your whole team — human and AI — can rely on.
We inventory all content sources your AI should know about — help centers, product catalogs, policy documents, internal wikis, support ticket archives — and run an IQ scoring audit to identify gaps, contradictions, and low-quality coverage before any ingestion begins.
We ingest your content through the Reaktly IQ pipeline — chunking, enriching, generating embeddings, and applying reranking to maximize retrieval precision. Each source gets an IQ quality score so you can see exactly where your AI foundation is strong and where it needs reinforcement.
We review IQ scores with your team, resolve critical gaps, and hand over a documented knowledge architecture with a prioritized improvement backlog. You leave with a clear view of what your AI knows, how confidently it knows it, and what to work on next.