Enterprise AI search
Review vector-based semantic retrieval, tenant-aware knowledge and the path from source to useful context.
Explore enterprise AI searchEnterprise search comparison
This enterprise search software comparison starts with the content your people use, the questions they ask and what they need to do with the answer. Give every provider the same brief, record the evidence and use the free evaluation worksheet to build a shortlist you can defend.
Evaluation matrix
| Area | Evidence to request | Risk to test |
|---|---|---|
| Retrieval relevance | Results for an agreed set of representative queries | A polished demo may not reflect your language or content |
| Content coverage | Successful processing of representative source formats and structures | Important material may be unreadable or lose context |
| Permissions | Demonstration of source permissions, named-resource access, effective decisions and review evidence | Search, AI or a workflow may expose or operate on content for the wrong user or service |
| Deployment | Architecture, service topology and operating responsibilities for the required environment | The product may not fit infrastructure, scale, security or support needs |
| Model choice | Supported deployments and the data path for each model call | A provider dependency may restrict control or future choice |
| Connections | A live test of representative business systems, email, databases and provider accounts | Configuration support may be mistaken for proven behaviour in the target environment |
| Workflow control | Versioning, approvals, execution records and failure handling | A useful answer may not translate into a governable process |
| Operations | Monitoring, change, backup, support and retention approach | Operational effort may be hidden during selection |
| Business evidence | Referenceable outcomes or an agreed proof with measurable criteria | Unverified benefit claims may drive the decision |
Printable resource
Use a fillable four-page worksheet to give each provider the same content, questions, access roles and required pass/fail gates. Record what was demonstrated, what remained unavailable and which assumptions still need proof.
Pūnaha evaluation paths
Search quality is only one part of an enterprise decision. Check how access, connections and workflow control fit the operating model.
Review vector-based semantic retrieval, tenant-aware knowledge and the path from source to useful context.
Explore enterprise AI searchCheck named-resource permissions, explainable decisions and review evidence for people and services.
Explore access governanceEvaluate how systems, databases, email and AI providers cross a visible, governed boundary.
Explore connectionsSee how retrieved knowledge becomes versioned workflow work, human review and adaptive case activity.
Explore workflowsMarket research
This is a starting list, not a ranking. Product scope and positioning change, so check each provider's current information and test it against your own requirements.
Review its current enterprise search, relevance and AI capabilities on the provider's website.
Visit CoveoReview its current enterprise search and knowledge discovery capabilities on the provider's website.
Visit SinequaReview its current search platform and AI search capabilities on the provider's website.
Visit ElasticReview its current search and discovery products on the provider's website.
Visit LucidworksReview its current enterprise AI and insight capabilities on the provider's website.
Visit SquirroReview its current search and discovery capabilities on the provider's website.
Visit AlgoliaReview its current workplace search and AI capabilities on the provider's website.
Visit GleanEvaluate enterprise search, flexible deployment, named-resource access, connections, versioned workflows and human approval.
Tour PūnahaShortlist process
Define representative sources, questions, users, deployment requirements and workflow outcomes.
Use clear acceptance criteria so attractive extras do not hide a missing control or core capability.
Use the same examples and questions wherever practical, and record assumptions or unavailable capabilities.
Review implementation, change, monitoring, support and ownership as carefully as the search experience.
Request customer evidence or run a bounded evaluation before relying on performance or return claims.
About this comparison
The providers above are market examples, not a complete list or a ranking. Pūnaha has not reproduced each provider's current feature set and does not claim that every product serves the same use case.
Pūnaha is a new product without public customer references or Gartner validation. Buyers should review current official product information and require evidence for the requirements that matter to them.
Compare retrieval relevance, content coverage, permissions, deployment, model choice, connections, workflow control and ongoing operations against the same representative requirements.
Give each provider the same sources, questions, users and pass or fail criteria. Record what was demonstrated, what remained unavailable and which assumptions still need proof.
No. Search quality matters, but the platform also needs to fit access controls, deployment, integrations, workflow governance, support and the people responsible for operating it.
Share the content, deployment and workflow criteria you plan to use, and we will shape a private demonstration around them.