Software advice
Best AI Embedded Analytics Software in 2026
AI embedded analytics software is a class of tools that lets a software company place dashboards, reports and AI-assisted question answering inside its own product, so customers see analytics under the vendor's brand instead of in a separate BI tool. It covers white-label components, per-customer data isolation and developer SDKs. It does not mean business intelligence for your own staff.
Quick answer
Luzmo ranks first for SaaS teams that can pay a printed flat fee for built-in embedding. GoodData fits products that need SDKs and many customer workspaces, and Cube suits data teams that want a priced semantic layer with embedding on its Premium tier.
A product team adding analytics to a SaaS app has two jobs: show each customer only its own data, and make the result look like the product, not like a bolted-on tool. Most vendors here promise both, and the differences show up in pricing, tenancy and how AI questions are answered. This ranking judges thirteen products on how well they embed, what a buyer can verify about cost and data handling, and how much work remains for your engineers. It does not cover internal dashboards for your own staff, which the AI business intelligence tools ranking handles. Several vendors publish no prices, and that counts against them here.
The 13 best AI embedded analytics software in 2026, ranked
There is no score. Vendors can pay for more visibility on this website, for example a higher place in a ranking or more room on a page. Commercial relationships can also affect which products we feature and how prominently. How we rank.
| # | Tool | Best for | Free plan | Entry price |
|---|---|---|---|---|
| 1 | Luzmo | SaaS teams that want white-label, multi-tenant dashboards plus an agent layer on one printed price | Trial | Starting from €1,995 per month |
| 2 | GoodData | Product teams serving many customer workspaces who want SDKs, a semantic layer and an AI assistant | Trial | Quoted |
| 3 | Cube | Data teams that want a semantic layer first, then embedded chat and dashboards on top of it | Yes | $40 per developer per month |
| 4 | Bold BI | Teams that need self-hosted or air-gapped embedded analytics with a free tier for one app | Trial | $499 per month |
| 5 | Sisense | Larger products that need a Compose SDK, query-layer security and an AI assistant under one roof | Trial | Quoted |
| 6 | Preset | Teams comfortable with Apache Superset who want a hosted version with an EU Stockholm region | Yes | $0 |
| 7 | Embeddable | Engineering-led teams that want dashboards defined in code and rendered as a native web component | No | Quoted |
| 8 | Qrvey | Companies that want flat-rate, unlimited-user embedding and the option to deploy inside their own cloud | No | Quoted |
| 9 | Tinybird | Developers who want to serve real-time analytics through APIs from a managed ClickHouse backend | Yes | $49 per month |
| 10 | Basedash | Teams that mainly want an AI data analyst for internal use, with embedding as a later step | Trial | $1,000 per month plus AI usage |
| 11 | Knowi | Teams that query many databases at once and need self-hosted, VPC or air-gapped deployment | No | Quoted |
| 12 | Toucan | Teams that prefer a managed service where AI agents and an expert build the data apps | Trial | Quoted |
| 13 | Explo | Existing Explo customers watching how the move to Omni affects their embedded dashboards | No | Quoted |
- 1
Luzmo ranks first because it is built only for embedding and prints its price. One plan carries white-labeling, self-service editing, multi-tenant views and AI conversations, so there is no feature ladder to negotiate. A SOC 2 Type 2 badge is shown and a conversation agent uses Luzmo's own query engine. The cost is the barrier: nearly 24,000 euros a year before overage, and the free trial length is unpublished.
Strong on
- Users create, edit and clone dashboards themselves inside the host product
- Embedded MCP server and Agent API let a customer's own chatbot query dashboards
- Privacy policy excludes Workspace API user data from training generalized models
Weak on
- Billed annually only, with no monthly option and no cheaper tier for a first launch
- Hosting region is not stated on the privacy policy, only transfers outside the EEA
Skip it if: Early-stage products that cannot commit about 24,000 euros a year for a single analytics feature. Single plan billed annually; includes 500 AI conversations and 100 million Warp rows monthly. Enterprise deployment is quoted.
- 2
GoodData takes second place because its multi-tenancy model is the most developed here: hierarchical workspaces, a declarative API and React and Python SDKs ship on the Professional plan, with SOC 2, GDPR and ISO 27001 listed there. The Enterprise tier adds an MCP server with 30-plus tools and bring-your-own LLM. Prices are not published, and a default cap of 30 AI queries per user per day applies unless configured.
Strong on
- Professional includes iFrame, Web Components, React SDK, Python SDK and white-labeling
- Hierarchical workspaces and a declarative API are designed for per-customer separation
- Migration agents convert Power BI, Tableau and Looker reports
Weak on
- No prices on either plan, so budgeting needs a sales conversation
- Annual contracts, and downgrades are not allowed before the contract ends
Skip it if: Teams that want to read a price, pay monthly and start without a sales call. No price published. Professional is a platform fee plus a per-workspace charge; Enterprise is priced by use case.
- 3
Cube ranks third because its prices are printed from a free tier up and because the semantic layer sits underneath everything, so embedded chat answers from defined metrics. Premium at $80 per developer adds embedded dashboards and chat, and Creator Mode lets customers build their own workbooks. Security and legal pages were not checked, and the per-developer model gets awkward when many viewers need access.
Strong on
- Free forever tier lets a team model data before paying
- Embedded iFrames for chat and dashboards are the quickest drop-in path
- Analytics Chat API supports custom AI experiences and agent-to-agent use over MCP
Weak on
- Embedded features start at the Premium plan, not on Free or Starter
- Data retention, training and certification terms were not checked for this page
Skip it if: Buyers who need a documented compliance posture confirmed from a trust page before shortlisting. Starter is $40 per developer monthly; embedded dashboards and chat need Premium at $80. Free has no embedding.
- 4
Bold BI sits fourth because it prints every price and offers more deployment choices than most: cloud, on-premises, air-gapped and managed private cloud. SDKs cover React, Angular, Vue, .NET and Blazor, and a Community License covers one embedded application for very small companies. Multi-tenancy is missing on the Cloud Edition and SSO is limited to self-hosted setups, which narrows the cheaper hosted path.
Strong on
- Published prices for four deployment models, with a 30-day trial without a card
- Native SDK embedding for five front-end frameworks, white-labeling on every edition
- SOC 2 Type 2 report held, and a VPAT for Section 508
Weak on
- Multi-tenancy is not available on the Cloud Edition, only on-premises and private cloud
- AI credits cost $40 per 1,000 and no monthly cap is published
Skip it if: SaaS companies that need multi-tenant isolation but want the hosted Cloud Edition rather than running servers. Lowest price is the on-premises per-user plan; Cloud Edition is $999 monthly. Both include 100 users.
- 5
Sisense is fifth: the Compose SDK, row-level security enforced at the query layer and a customer-facing assistant make it a credible embedding platform, and the Enterprise plan lists multi-tenant architecture and bring-your-own LLM. The trust page cites audits against ISO 27001 and SOC 2 Type 2 without saying which are certificates. With no printed prices and trial terms unpublished, it loses ground to vendors that quote openly.
Strong on
- Compose SDK supports embedding with generative AI embed code generation
- Shared formulas keep people and AI on the same approved metric definitions
- Enterprise lists a 99.99% Premium SLA and dedicated cloud or on-premises deployment
Weak on
- Neither plan shows a price, currency or billing basis
- Trial length and terms are not published, and the trust center was not opened
Skip it if: Teams that need a price on a page to get budget approval before talking to sales. No prices shown on Self-Serve or Enterprise. Self-Serve has a free trial button; trial terms are not published.
- 6
Preset ranks sixth: it is a hosted Apache Superset with the clearest published pricing in the field, including a free tier and a $500 monthly add-on for 50 embedded viewers. A trust page lists SOC 2 Type 2 and four AWS regions including Stockholm. Embedding is an add-on to a general BI product rather than the core, and Enterprise holds SSO, SCIM and the MCP integration.
Strong on
- Free Starter plan with unlimited dashboards and a collaborative SQL editor
- Chatbot conversation data is kept at most six months and not used to train subprocessor models
- Preset Cloud runs in US, Tokyo and Stockholm regions on AWS
Weak on
- Embedding needs viewer licenses at $500 per month for 50 viewers on Professional
- SSO, SCIM, audit logs and MCP integration sit only on the custom Enterprise tier
Skip it if: Products with thousands of customer viewers, where viewer-block pricing climbs quickly. Starter is free for 5 users; Professional is $20 per user monthly, billed annually. Embedded viewers cost $500 per 50.
- 7
Embeddable lands seventh. Its design is distinctive: a native web component rather than an iframe, data models and components kept in your own repository, and a semantic layer built on Cube models with row-level security. Bring-your-own LLM is supported for its AI chat. A missing price list and unstated data handling, with the security page not opened, keep it below vendors a buyer can check on paper.
Strong on
- One custom element works in React, Vue or plain HTML without an iframe
- Open source component library with 30-plus components beyond the core charts
- Theming covers palettes, dark mode, fonts and corner radius
Weak on
- No free plan and no printed prices, so cost is only known after a quote
- Training, retention, hosting and certification terms are not stated on the pages opened
Skip it if: Teams without developers to maintain a code-first workflow in their own repository. No prices published. A flat monthly subscription with unlimited usage is described; scope-based custom quote.
- 8
Qrvey comes eighth. The pitch is attractive for scaling products: flat-rate pricing described as unlimited users, dashboards, data and connections, multi-tenant security, and deployment in your own cloud. Pro assumes you bring a database, and Ultra adds a built-in data engine. No certification appears on the pages opened and no amounts are shown, so the flat rate cannot be tested before a sales call.
Strong on
- Two plans split by whether you bring your own database or use Qrvey's data engine
- Embedded AI includes an MCP server, an AI assistant and custom agents
- Multi-cloud deployment, with Azure and GCP logos shown on the site
Weak on
- No price, currency or billing structure published, and no free trial
- No security certification is listed on the pages opened
Skip it if: Buyers who want self-serve sign-up and a documented certification before they commit. Prices not published; a Request Pricing form promises an answer within 24 hours. Flat-rate packaging is mentioned without amounts.
- 9
Tinybird ranks ninth because it is a data backend rather than a finished embedded dashboard product: you build the API endpoints and write the front end. For engineering teams that is a strength, with typed SDKs, a CLI and a free tier of 1,000 requests a day. A buyer wanting white-label widgets or per-customer self-service will build much of it and also meets two Developer prices on one page.
Strong on
- Managed ClickHouse with TypeScript and Python SDKs and a CLI for local development
- Free plan without a credit card, then Developer from $49 per month
- Ingests from Kafka, Amazon S3, Google Cloud Storage and HTTP
Weak on
- No built-in dashboard components, white-labeling or end-user self-service layer
- Hosting region and certifications were not stated on the pages opened
Skip it if: Product managers who need ready-made customer-facing charts without writing front-end code. Developer shows $49 per month, and a lower section says starting at $25. Free plan needs no card.
- 10
Basedash is tenth. Its AI analyst shows the tables and SQL behind each answer, and it ships a managed DuckDB warehouse, 750-plus sources and SOC 2 Type II. For this category, though, embedding, SSO and SCIM are listed only on the custom Enterprise plan, so the $1,000 Startup plan is mostly an internal analytics purchase. Hosting is stated as US-based DigitalOcean servers.
Strong on
- AI analyst names the tables, definitions and SQL used for each answer
- Embedding uses a few lines of React and JWT SSO that scopes rows per customer
- Bring-your-own keys from OpenAI, Anthropic, Azure or Bedrock
Weak on
- Embedding is available only on the custom Enterprise plan
- Privacy policy names U.S.-based servers, with no EU region stated
Skip it if: SaaS teams that need customer-facing dashboards immediately and cannot wait for an Enterprise negotiation. Startup is a flat rate plus AI usage, up to 25 users, with $1,000 AI credits monthly.
- 11
Knowi comes eleventh. Federated queries that join sources without copying data, SOC 2 Type 2 and deployment from managed cloud to air-gapped are real advantages for regulated products. Embedding runs through a JavaScript SDK, token URL or iframe with white-labeling. The pricing page shows nothing, and the Private AI copy contradicts itself on whether data reaches external AI services, which a buyer should clarify first.
Strong on
- Federated queries join data across sources at query time without landing it first
- SOC 2 Type 2 stated, with a BAA available
- JavaScript SDK, token-based embed URL or iframe with full white-labeling
Weak on
- No prices, plans or trial terms on the pricing page
- Private AI claims conflict between no external services and optional OpenAI or Claude
Skip it if: Buyers who need a firm statement on external AI model use before reading further. No plans, currency or free tier published; the pricing page leads to a sales path.
- 12
Toucan, formerly Toucan Toco, is twelfth. Its current offer is a managed service run by a crew of AI agents with a human expert approving each release, plus a self-service Studio for embedding. That is a different model from a toolkit you wire in yourself. The legal entity, headquarters and privacy policy could not be reached on the pages opened, and no certification is stated, so risk review has gaps.
Strong on
- Custom App includes AI costs, hosting and updates for one yearly price per department
- Studio offers self-service building and embedding with a semantic layer
- Row-level security, SSO and audit trail are listed under governance
Weak on
- Privacy policy URL returned 404 and the legal entity is not stated
- Studio pricing and trial terms are not published
Skip it if: Teams that want to build and tune the analytics layer themselves with a conventional SDK. Custom App is quoted as one yearly price per department; Studio shows no price. Trial terms unpublished.
- 13
Explo is last because its homepage says it is joining Omni, and the transition terms were not checked, so a new buyer faces product risk. The feature set is relevant: customer-facing dashboards, Report Builder AI, Data Share and a Host option. No pricing, privacy policy or legal entity was reachable on the pages opened. A team starting fresh should ask about the Omni timeline first.
Strong on
- Customer-facing dashboards that end users can modify within set guardrails
- Report Builder AI creates custom reports for end users
- Data Share sends each customer its reports on the customer's schedule
Weak on
- Homepage states Explo is joining Omni, with the sunset or transition terms not checked
- No pricing, privacy policy or legal entity found on the pages opened
Skip it if: New buyers who need a long-term roadmap commitment and published pricing before choosing a vendor. No plans or prices on the opened pages; the pricing URL returned 404. The homepage leads to a trial request.
How these AI embedded analytics software were judged
How good is the embedding itself?
The strongest embedding offers white-labeled components, end-user editing and a way to scope data per customer without rebuilding it. Luzmo and GoodData cover these on their paid plans, with SDKs and web components named. Embeddable renders a native web component instead of an iframe, which matters for styling and page performance. Cube offers iframes as the quick path and a chat API for custom builds. On the AI side, answers should come from governed metrics rather than free text-to-SQL. Luzmo says its agent uses its own query engine, and Cube and Embeddable ground chat in a semantic model.
What does embedded analytics cost, and which prices are public?
Published prices are rare. Luzmo lists €1,995 per month billed annually, Bold BI starts at $499 per month on-premises and $999 on its cloud edition, Cube charges $40 and $80 per developer per month, and Preset charges $20 per user plus $500 per month for 50 embedded viewers. GoodData, Sisense, Qrvey, Embeddable, Knowi, Toucan and Explo publish no amounts on the pages checked. Tinybird shows two Developer prices on one page. Watch the unit: per developer, per viewer, per workspace and per AI question all scale differently as your customer count grows.
Where does customer data live and what do vendors say about AI training?
Customer data in a multi-tenant product is your customers' data, so the terms matter. Preset states it does not use prompts to train subprocessor models and lists four AWS regions including Stockholm. Basedash says customer data is never used to train AI models and names U.S. servers. Luzmo excludes Workspace API user data from training. Bold BI and Sisense cite SOC 2 Type 2 or audits, while Cube, GoodData's training stance, Embeddable, Qrvey, Toucan and Explo left gaps. Knowi's two Private AI statements conflict, so ask for it in writing.
How hard is it to switch embedded analytics vendors later?
Switching is costly because dashboards live inside your product and customers have edited them. Code-first tools such as Embeddable and Cube keep models in your repository, which makes the logic portable even if the front end is not. GoodData lists migration agents that convert Power BI, Tableau and Looker reports, useful on the way in. Bold BI and Knowi allow self-hosting, and Luzmo's enterprise tier mentions source-code escrow. Annual-only billing at Luzmo and GoodData's annual contracts with no downgrade mid-term extend the commitment, so negotiate exit terms before launch.
Which embedded analytics tool fits which kind of product?
A funded SaaS company with a clear customer-facing analytics roadmap fits Luzmo or GoodData. A team with data engineers and a warehouse already fits Cube or Tinybird. A company that needs self-hosting or air-gapped delivery should look at Bold BI or Knowi. A team already running Apache Superset can use Preset. Products that want a hands-off result may prefer Toucan's managed service, and Basedash suits AI-first internal analytics. Explo customers should confirm what joining Omni changes before renewing, including pricing, support dates and where their embedded dashboards will be hosted.
How to choose an AI embedded analytics software in three steps
- Write down your tenancy and branding requirements first. List how many customers will see dashboards, whether each needs its own data source, and how far the look must match your product. Ask each vendor how it isolates tenants: row-level security, separate workspaces or separate instances. Check whether white-labeling is on the plan you can afford, since Bold BI includes it on every edition while others place it higher. Also decide whether customers must edit dashboards or only view them, because viewer licenses and creator roles are priced differently at Preset and Cube.
- Price the plan at ten times your current customer count. Take the vendor's pricing unit and run it at your expected customer volume in two years. A per-developer fee stays flat as viewers grow, a per-viewer block such as Preset's 50 viewers for $500 per month grows with them, and Luzmo's flat fee includes usage allowances that bill overage beyond them. Where no price is published, request a written quote with the unit stated. Include AI usage: Bold BI sells credits at $40 per 1,000, and Luzmo includes 500 AI conversations per month.
- Test one real customer dashboard and ask for data terms in writing. Build a single dashboard from a real tenant in a trial or demo, including a customer who should see nothing from another tenant. Confirm the AI answers cite the metric definitions they used. Then request written answers on training use, retention, hosting region and certifications, since several vendors here left those blank on public pages. Ask any vendor with a transition or acquisition notice, such as Explo's move to Omni, for the support commitment in the contract, and keep a copy of your dashboard definitions outside the vendor.
Frequently asked questions
What is the best AI embedded analytics software in 2026?
Luzmo ranks first on this page because it is built for embedding, prints a single price and bundles white-labeling, multi-tenant access and AI conversations. GoodData is second for SDKs and workspace-based multi-tenancy, and Cube is third for a priced semantic layer. The right pick depends on budget, since Luzmo starts at €1,995 per month.
How is embedded analytics different from a normal BI tool?
A normal BI tool serves your own staff inside the vendor's interface. Embedded analytics puts charts and reports inside your product, under your brand, with each customer limited to its own data. That needs white-labeling, tenant isolation and SDKs. Some BI vendors here, such as Preset and Bold BI, sell both, but embedding often sits on a higher plan or an add-on.
Which embedded analytics tools publish their prices?
On the pages checked, Luzmo, Bold BI, Cube, Preset, Tinybird and Basedash publish amounts. GoodData, Sisense, Qrvey, Embeddable, Knowi, Toucan and Explo do not, and request a quote. Tinybird's pricing page shows both $49 and $25 per month for Developer, so confirm before budgeting. Prices here are as of November 2026.
Is there a free embedded analytics option?
Cube has a free forever tier, but it excludes embedded features, which start on Premium at $80 per developer per month. Preset has a free Starter plan for up to five users, with embedded viewers as a paid add-on on Professional. Bold BI offers a Community License free for one embedded application, limited to very small companies. Tinybird has a free plan with 1,000 requests a day.
Can embedded analytics answer customers' questions in plain English?
Yes, most vendors here list an AI assistant or chat. Luzmo says its conversation agent uses its own query engine instead of LLM-generated SQL, Cube grounds chat in its semantic model, and Embeddable respects row-level security in its AI chat. Allowances differ: Luzmo includes 500 AI conversations a month, and GoodData defaults to 30 AI queries per user per day.
Which embedded analytics tools can be self-hosted?
Bold BI runs on Windows, Linux, Docker or Kubernetes and supports air-gapped use. Knowi lists managed cloud, VPC, on-premises, hybrid and air-gapped options. GoodData offers self-hosting on demand at Enterprise, Cube lists Bring Your Own Cloud on Enterprise, and Preset offers a Managed Private Cloud. Check which plan unlocks it, since SSO and multi-tenancy can also be restricted.
What should a SaaS team ask about Explo joining Omni?
Explo's homepage states that it is joining Omni, and the sunset or transition terms were not checked here. A current customer should ask about the product roadmap, price changes, support dates and data migration. A new buyer should treat the move as a risk and compare Explo against vendors that print a roadmap and pricing.
Does Toucan Toco still exist under that name?
The vendor now writes its name as Toucan and describes its product as managed AI analytics, run by a crew of AI agents with a human expert signing off each release. Custom App is quoted yearly per department, and a self-service Studio is also offered. This page lists it as Toucan; the address toucantoco.com is still used.