Enterprise search
What discount can I offer?
Pricing policy15%
Slack exception20%
Quarterly deck25%
Three answers. No certainty.
Compare
Search finds documents. Nura remembers decisions.
Direct answer
Enterprise search, knowledge bases, and general AI tools help teams find or summarize information. Nura is built for a narrower problem: evaluating which decision is best supported by the available evidence and showing who made it, why, when, and where it came from.
Head to head
Three possible answers or one best-supported decision.
nura
What discount can I offer?
- Read all three sources
- Detected the conflicting thresholds
- Resolved the account-specific exception
Up to 15% without sign-off. The 20% Slack exception applied only to one account and did not replace the standard policy.
Decided by Dana R. · VP Sales · March 2026Find the information, or recover the decision.
Category by category
Similar problems. Different product focus.
Nura vs enterprise search
Enterprise search is primarily designed to help people find and synthesize information across connected systems. Nura is designed around a narrower workflow: identifying a decision, preserving its provenance and showing whether it still holds.
Nura vs knowledge bases
A knowledge base gives teams a place to document agreed knowledge, but its accuracy depends on the content and maintenance process. Nura complements that system by checking approved connected sources for newer decision context.
Nura vs generic AI chat
General-purpose AI products can search connected workplace sources and return cited answers. Nura differentiates through a product model centered on decisions, provenance, conflicting records and current status.
Nura vs Glean
Glean offers enterprise search, permission-aware workplace answers, agents and MCP access across connected company systems. Nura's intended focus is narrower: decision memory, provenance, conflict visibility and whether a decision still holds.
Nura vs Notion AI
Notion AI combines workspace AI and enterprise search across Notion and supported connected apps. Nura is positioned around cross-source decision records, provenance and current-status resolution.
Nura vs Slack AI
Slack AI provides cited answers and summaries from Slack, and Slack Enterprise Search can include supported external sources. Nura is positioned around preserving decision history and resolving decision context across its approved source set.
Capability comparison
Company memory is not enterprise search.
Enterprise search helps teams find files. Nura helps teams recover decisions, context, ownership, and what still holds.
| Capability | Nura | Enterprise search | General AI with connected sources |
|---|---|---|---|
| Identifies the best-supported decision | Yes | Varies by product and configuration | Can synthesize evidence; verification still recommended |
| Shows who decided | Yes | May surface source and author metadata | May cite source or author; ownership may require interpretation |
| Shows why it was decided | Yes | May retrieve supporting context | Can summarize available context |
| Detects conflicting sources | Yes | Varies; not always the primary workflow | May surface conflicting evidence; resolution varies |
| Connects across work tools | Five early-access connectors, more planned | Often supported | Often supported through apps or connectors |
| Supports agents through MCP | Yes | Varies; some vendors support MCP | Varies by platform and app support |
| Preserves decision history | Yes | Varies by product | Varies by source and conversation history |
Last reviewed: 16 July 2026. This comparison reflects publicly documented product positioning and capabilities available at the time of review. Features, plans and connector support can change. Nura does not claim that another product cannot support a capability unless its official documentation states so. The comparison focuses on Nura's product emphasis: decision memory, provenance, conflict visibility and current status.
Use-case recommendations
When to reach for which tool.
When you need to find any file
Use an enterprise search product. Nura is not intended to replace every general document-search workflow.
When you need to know what still holds
Use Nura to evaluate conflicting sources and identify the best-supported decision when the evidence is sufficient. When it is not, keep the conflict visible for human review.
When an AI agent needs company context
Use Nura's MCP context layer rather than relying only on a static prompt or generic model knowledge.
Deep-dive comparisons
Two comparisons worth reading in full.
FAQs
Comparison
questions.
Common questions about where Nura fits alongside search, documentation, and workplace AI products.
01Is Nura a replacement for enterprise search?
No. Nura is focused on decisions, policies, exceptions, provenance, and company memory. It can be used alongside a broader enterprise-search product.
02How is Nura different from a wiki or knowledge base?
A wiki reflects what someone remembered to document and update. Nura checks approved connected sources for newer decisions before returning an answer.
03Can Nura be used with Glean, Notion AI, or Slack AI?
Yes. Nura can complement search and tool-specific AI products by focusing on decisions and context across connected sources.
04What does source-backed mean?
It means the answer remains traceable to a specific document, message, ticket, or other approved source, together with relevant date and ownership details.