Knowledge Layer
by Uniphore · AI · Palo Alto, United States
Builds domain-specific small language models from enterprise data.
What Knowledge Layer does
- Power high-accuracy retrieval with RAG pipelines, semantic indexing, and knowledge graphs.
- Automatically generate high-quality training data to fine-tune SLMs using enterprise knowledge.
- Multi-Tenant Knowledge Bases
What Knowledge Layer is used for
- Structure enterprise data for AI retrieval
- Retrieve accurate answers from enterprise knowledge
- Generate training data for fine-tuning models
About Uniphore
Business AI Cloud: data, knowledge, model and agentic layers that let enterprises, including banks and insurers, prepare data, build domain models and orchestrate AI agents with governance built in.
Uniphore in the vendor registry: its products, features and similar vendors.
Also by Uniphore
- Business AI Cloud: Enterprise AI platform combining data, models, knowledge and agents for business workflows.
- Agentic Layer: Orchestrates AI agents that execute business workflows.
- Data Layer: Prepares enterprise data for AI without migration.
- Model Layer: Secures and governs AI models with built-in guardrails.
More in this category: AI software for financial services.
Weighing up Knowledge Layer? Create a free procurement account to run the question as a procurement: Uniphore and the alternatives answer your requirements side by side, on the same terms.
Built by Vederca from public sources, last updated 2026-10-18.