- Tool type
- Enterprise RAG and knowledge API
- Made for
- Teams building domain-specific AI applications
- Runs on
- API with enterprise deployment options
What it does
Iris.ai Neuralith provides an enterprise knowledge engine and API for retrieval-augmented AI applications. It connects key data into a knowledge graph, supplies context for model answers and provides evaluation tools to measure and refine the resulting system. The intended applications include internal support, technical customer assistance, proposals and research workflows.
The product combines retrieval, orchestration and deployment support, with access controls and deployment choices scoped to the organization. It is useful for teams that want an application grounded in their own documents and systems while keeping model selection flexible. Setup begins with a demonstration and discovery process rather than an immediately configured consumer chatbot. Define which sources and permissions apply, test the answers against expert expectations and monitor quality as the underlying knowledge changes.
What it can do
- Knowledge-graph integration
- Retrieval-augmented generation
- Context-aware answers
- Evaluation metrics
- Role-based access
- Agent orchestration
- Deployment support
Before you choose
- Implementation and deployment terms require a scoped agreement.
- Knowledge grounding and evaluation support review but do not guarantee correct answers.
Listed under
Get started
- Discuss the application, source systems and access requirements.
- Connect the relevant knowledge and configure retrieval and model choices.
- Evaluate representative questions and refine the system before deployment.
Plans and prices
Request a demo to scope data integration, evaluation and deployment requirements.
Iris.ai Neuralith doesn’t publish prices. You get a quote by contacting sales. See their pricing page ↗
Sources for this overview
Product pages, documentation, and pricing checked 30 Oct 2026. Each source supports part of the overview; availability and prices can change.
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- Human review
- Checked by a person
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Last checked 30 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.