Sisense / sisense.com
AI-powered analytics and embedded BI platform enabling SaaS companies to embed customer-facing analytics with natural language querying and automated insight generation in their products.
Pricing
Free
Free plan
No
Category
Developer Tools
Platforms
3
Free plan
No
API access
No
Open source
No
Platforms
3
Sisense is an analytics platform with particular strength in embedded analytics — enabling software companies to embed sophisticated dashboards, natural language querying, and automated insights directly in their products for customer-facing analytics experiences.
Sisense Fusion is the embedded analytics SDK — white-labelled analytics components (charts, dashboards, query interfaces) that product teams integrate into their applications, powered by Sisense's analytics engine but matching the host application's design.
AI natural language querying allows non-technical end users to ask data questions in plain English within embedded product analytics — generating appropriate charts and data views without training users on BI tool interfaces.
AI insight generation automatically surfaces notable patterns, anomalies, and trends — alerting stakeholders when interesting data changes occur without requiring manual monitoring configuration.
With customers including Healthcare.gov, Nasdaq, and Sony, Sisense validates across healthcare, financial services, and entertainment for embedded analytics at significant platform scale.
Sisense AI runs as llm assistant software built around text and data workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, api, and sdk.
The capabilities that matter most for teams evaluating Sisense AI.
White-labelled embedded analytics SDK enabling SaaS products to offer customer-facing dashboards and queries — without building BI infrastructure from the ground up.
End users ask data questions in plain English within embedded analytics — lowering the analytics barrier for non-technical users in customer-facing SaaS analytics.
Automatically surfaces patterns, anomalies, and trends alerting stakeholders to significant data changes — replacing manual monitoring configuration for each metric of interest.
Enterprise licensing. No public pricing. Annual contracts. Demo available.
Model
Enterprise
Starting price
Free
Free trial
Yes
Looker (covered) provides embedded analytics in the Google ecosystem. ThoughtSpot (covered) provides AI-first analytics. Metabase (rank 630) provides open source BI. Tableau Embedded provides Tableau within third-party applications.
A side-by-side look at the closest alternative in this category.
Key facts about model providers, platforms, and team support.
Model Provider
OpenAI, Sisense
Platforms
Web, API, SDK
Deployment
SaaS, On-premise, Cloud
Integrations
200+ data connectors, Snowflake, BigQuery, AWS, API
Team Collaboration
Yes
Launch Year
2022
Compliance signals and data-handling notes as reported by the vendor.
SOC 2 Type II. ISO 27001. GDPR compliant. HIPAA eligible. FedRAMP eligible. Enterprise data handling agreements.
Analytics and business data processed on Sisense's infrastructure or customer-managed cloud. Review data handling for embedded customer analytics data.
Editorial Verdict
Sisense is a strong AI analytics platform for SaaS companies embedding customer-facing analytics with natural language querying and AI-generated insights in their products.
Last verified July 24, 2026.
Enterprise licensing. No public pricing. Annual contracts. Demo available.
No public pricing. Enterprise subscription. Contact for pricing. Publicly traded company (DOMO).
SOC 2 Type II. ISO 27001. GDPR compliant. HIPAA eligible. FedRAMP eligible. Enterprise data handling agreements.
SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP eligible. Enterprise data handling agreements.
Analytics and business data processed on Sisense's infrastructure or customer-managed cloud. Review data handling for embedded customer analytics data.
Business data from connected sources processed on Domo's cloud infrastructure. Data governance controls manage access and lineage across connected data sources.
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