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AI software · Luzmo

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Luzmo

The fastest way to embed analytics in your product.

Open for Partnersembedded-analyticsembedded-bicustomer-facing-dashboardsself-service-analyticsdata-visualizationFree trialListed since May 2026

Partner summary

The offer at a glance

A quick read on buyer fit, pitch, economics, and promotion fit.

Best buyer

Data teams at software companies

Main outcome

Higher product adoption after launching embedded dashboards

Commission

To be confirmed

Best channels

Content Marketing And SEO, Developer And Product Communities, Email To Opted-In Audiences, Webinars And Events

Terms

Founder confirmation required before promotion.

Main pitch

Luzmo lets SaaS teams embed beautiful, customer-facing dashboards inside their product in days, not months. Start low-code with Luzmo Studio, go code-first with the Flex SDK, and...

Economics

Partner terms

Commission, pricing model, and review timing for this listing.

Commercial terms

Partner terms

Founder confirmation required before partners promote this listing.

Commission
To be confirmed
Pricing
Subscription
Duration
Review period
30 days

Pricing tiers

Luzmo Studio

Primary

Custom/ month

  • Low-code drag-and-drop dashboard builder
  • 40+ chart types and custom charts
  • White-labeled, customizable embedding
  • Row-level security and multi-tenant support
  • Localization for language, timezone, and currency

Luzmo Flex SDK

Custom/ month

  • Code-first SDK with React, Vue, and Angular support
  • Programmatic custom data products
  • Query engine and secure data handling
  • Mix Luzmo and custom components

Luzmo IQ and Luzmo AI

Custom/ month

  • Conversational AI analyst agent
  • Natural-language chart generation
  • AI dataset and column descriptions
  • AI summaries and Q&A grounded in your data

Free trial

Custom/ month

Tracks Free Trial

  • Free trial available on the Luzmo website
  • Demo available on request

Who this converts for

The buyers this offer is shaped for. Match your reach to the strongest audience fit.

medium
B2C

Data teams at software companies

Data and analytics teams that want to deliver bespoke, branded data experiences to customers without building visualization infrastructure.

Software / SaaSData Team LeadAnalytics Engineer

Pain points

  • Maintaining DIY visualization and query infrastructure diverts the team
  • Hard to deliver consistent, branded data experiences at scale
  • Localization across language, timezone, and currency is complex

Desired outcomes

  • Deliver custom, branded data products faster
  • Reuse a reliable query engine and connectors
  • Scale analytics with localization and acceleration built in
medium
B2C

Software engineering teams

Developers and engineering leads who need to embed analytics securely with SDKs and APIs while keeping full control over UX and styling.

Software / SaaSSoftware EngineerFrontend Developer

Pain points

  • Heavy iframe embeds break the product UX
  • Maintaining a custom analytics backend and query layer is costly
  • Securing multi-tenant data access is hard to build from scratch

Desired outcomes

  • Embed analytics with native components and full CSS/API control
  • Offload data querying, caching, and SSO to the platform
  • Ship secure multi-tenant analytics quickly
high
B2C

SaaS product teams

Product managers and product leaders at SaaS companies who need to add in-app, customer-facing analytics without a long engineering project.

Software / SaaSProduct ManagerHead of Product

Pain points

  • Building in-app analytics in-house takes months and stalls the roadmap
  • Customers ask for dashboards and self-service reporting the product cannot deliver yet
  • One-off custom reports create ongoing support load

Desired outcomes

  • Launch native, customer-facing analytics in days, not months
  • Increase user engagement and retention with embedded insights
  • Reduce custom reporting requests

SaaS product teams that need in-app customer-facing analytics quickly

Embed secure, branded, customer-facing analytics into a software product without building and maintaining BI infrastructure in-house.

Product ManagerHead of Product

Pain points

  • In-house embedded analytics takes months and stalls the roadmap
  • Heavy iframe embeds break the product UX
  • Maintaining a custom analytics backend, query layer, and multi-tenant security is costly
  • One-off custom reports create ongoing support load

Desired outcomes

  • Launch native, customer-facing analytics in days to weeks
  • Increase user engagement and retention
  • Reduce custom reporting and training overhead
  • Offload querying, caching, security, and localization to the platform

Software engineering teams embedding analytics with SDKs and APIs

Embed secure, branded, customer-facing analytics into a software product without building and maintaining BI infrastructure in-house.

Product ManagerHead of Product

Data teams at software companies productizing analytics

Embed secure, branded, customer-facing analytics into a software product without building and maintaining BI infrastructure in-house.

Product ManagerHead of Product

Why partners convert here

When to pitch this, and the outcomes the buyer actually gets.

Use cases

  • Embed customer-facing dashboards with Luzmo Studio
  • Embed customer-facing dashboards with Luzmo Studio
  • Build fully custom data experiences with Luzmo Flex SDK
  • Build fully custom data experiences with Luzmo Flex SDK
  • Add conversational AI analytics with Luzmo IQ
  • Add conversational AI analytics with Luzmo IQ
  • Enable self-service analytics for end users
  • Enable self-service analytics for end users

Outcomes

Higher product adoption after launching embedded dashboards

Fewer custom reports and less user training

Increase user engagement and retention

Reduce custom reporting and training overhead

Offload querying, caching, security, and localization to the platform

Launch native, customer-facing analytics in days to weeks instead of months of in-house development.

Evidence

40 %

Increase in active customers using dashboards

Evidence

Self-service and conversational analytics reduce custom reporting and training overhead.

Evidence

Lansweeper skipped three years of development

Evidence

Kenjo launched dashboards in 5 to 6 weeks

Evidence

Fleet Perfection saw higher active usage

Evidence

SOC 2 and GDPR compliance

Evidence

Public reviews on G2 and Capterra

Evidence

Lansweeper reports skipping three years of development time.

Fleet Perfection reports 40% more customers actively using dashboards.

Luzmo states SOC 2 and GDPR compliance and no training on customer data.

Public review profiles on G2 and Capterra.

Before · After

Embed customer-facing dashboards with Luzmo Studio

Before

Building embedded analytics in-house takes months of data modeling and frontend work, stalling the roadmap.

After

Connect data, build dashboards in a visual editor, and embed native components that match the product's design system in days.

Expected outcome: Customer-facing analytics live in days to weeks instead of months.

What makes this different

Where this offer beats the alternatives.

  • Native, composable components with full CSS and API control

  • Both low-code (Studio) and code-first (Flex SDK) in one platform

  • Conversational AI grounded in the customer's data via a query engine

  • Multi-tenant row-level security with SOC 2 and GDPR compliance

  • Built-in data acceleration (Warp) for fast queries at scale

Promotion strategy

Partner playbook

Angles, questions, objections, and inputs to keep outreach sharp.

Value proposition

The fastest way to embed analytics in your product.

How to pitch

Luzmo lets SaaS teams embed beautiful, customer-facing dashboards inside their product in days, not months. Start low-code with Luzmo Studio, go code-first with the Flex SDK, and add a conversational AI analyst with Luzmo IQ, all with native React, Vue, and Angular components, multi-tenant row-level security, and SOC 2 and GDPR compliance.

Positioning

Positioned as a fast, fully customizable embedded analytics platform that replaces months of in-house BI work and breaks the trade-off between low-code speed and code-level control.

Best angles to test

  • Skip months of in-house BI development and ship analytics this sprint
  • Native embedding versus heavy iframes that break UX
  • Low-code speed plus code-first flexibility in one platform
  • Conversational AI analytics grounded in your data with no hallucinations
  • Embed customer-facing analytics and dashboards into your product in days, not months
  • Low-code drag-and-drop dashboard builder plus a code-first SDK and APIs
  • Native components for React, Vue, and Angular
  • Multi-tenant row-level security; SOC 2 and GDPR compliant
  • Conversational, AI-assisted analytics grounded in the customer's own data
  • Connects to major databases and data warehouses with a built-in data acceleration layer

Angles to avoid

  • Do not claim guaranteed revenue or ROI
  • Do not claim results are typical
  • Do not claim an official partnership before founder approval
  • Do not claim Stripe-verified payouts
  • Do not claim managed checkout is ready
  • Do not state specific pricing or commission terms; none are confirmed in the source
  • Do not present extracted customer outcomes as guaranteed for all customers

Discovery questions

  • Are you building customer-facing dashboards in-house today, and how long is it taking?
  • Do your customers ask for self-service reporting or AI-driven insights?
  • What are your requirements around multi-tenant security and compliance?
  • Which frameworks does your frontend use (React, Vue, Angular)?

Disqualifiers

  • Teams that only need internal BI for their own employees
  • or buyers wanting a standalone analytics tool rather than analytics embedded inside their own product.

Target keywords

embedded analyticsembedded BIcustomer-facing dashboardswhite-label analyticsanalytics SDKself-service analyticsconversational analyticsReact analytics components

Objections & responses

  • We can just build analytics in-house.

    Response: In-house BI typically takes months of data modeling and frontend work. Luzmo customers report launching dashboards in weeks and skipping years of development by embedding native components instead.

  • Embedded analytics break our UX with heavy iframes.

    Response: Luzmo uses native, composable components with full CSS and API control, so dashboards feel native and match your design system rather than a bolted-on iframe.

  • We are concerned about data security and multi-tenancy.

    Response: Luzmo provides multi-tenant row-level security and role-based access by default, states SOC 2 and GDPR compliance, and does not train AI on customer data.

  • Will embedded analytics slow down our app?

    Response: Luzmo includes Warp, a built-in data acceleration and query caching layer designed to keep queries fast as data and usage grow.

Rules

Promotion rules

Where you can promote, what is restricted, and what the founder requires.

Allowed channels

Content Marketing And SEODeveloper And Product CommunitiesEmail To Opted-In AudiencesWebinars And EventsOrganic Social MediaPartner And Referral Programs

Restricted channels

Cold Outreach Without Founder ApprovalPaid Search Bidding On Brand KeywordsUnsolicited Bulk MessagingMisleading Or Spam Advertising
AI-generated content
Yes
Content reuse
No
Founder approval
Yes

Approved claims

  • Embed customer-facing analytics and dashboards into your product in days, not months
  • Low-code drag-and-drop dashboard builder plus a code-first SDK and APIs
  • Native components for React, Vue, and Angular
  • Multi-tenant row-level security
  • SOC 2 and GDPR compliant
  • Conversational, AI-assisted analytics grounded in the customer's own data
  • Connects to major databases and data warehouses with a built-in data acceleration layer

Claims to avoid

  • Do not claim guaranteed revenue or ROI
  • Do not claim results are typical
  • Do not claim an official partnership before founder approval
  • Do not claim Stripe-verified payouts
  • Do not claim managed checkout is ready
  • Do not state specific pricing or commission terms; none are confirmed in the source
  • Do not present extracted customer outcomes as guaranteed for all customers
  • none are confirmed in the source

Evidence

Proof & trust signals

Claims, evidence links, and operational trust signals partners can lean on.

Proof points

  • Higher product adoption after launching embedded dashboards
  • Fewer custom reports and less user training
  • Increase user engagement and retention
  • Reduce custom reporting and training overhead
  • Offload querying, caching, security, and localization to the platform
  • Launch native, customer-facing analytics in days to weeks instead of months of in-house development.
  • Increase in active customers using dashboards: 40 %
  • Self-service and conversational analytics reduce custom reporting and training overhead.
  • Lansweeper skipped three years of development
  • Kenjo launched dashboards in 5 to 6 weeks
  • Fleet Perfection saw higher active usage
  • SOC 2 and GDPR compliance
  • Public reviews on G2 and Capterra
  • Lansweeper reports skipping three years of development time.
  • Fleet Perfection reports 40% more customers actively using dashboards.
  • Luzmo states SOC 2 and GDPR compliance and no training on customer data.
  • Public review profiles on G2 and Capterra.

Proof links

About Luzmo

Luzmo is an embedded analytics platform that lets SaaS and software teams embed beautiful, customer-facing dashboards directly into their products in days instead of months. Product teams start with a low-code drag-and-drop editor (Luzmo Studio), developers go deeper with a composable SDK and APIs (Luzmo Flex), and end users get conversational, AI-assisted insights (Luzmo IQ). It connects to major databases and data warehouses, includes a built-in data acceleration layer (Warp), and ships with native React, Vue, and Angular components, multi-tenant row-level security, and SOC 2 and GDPR compliance.

luzmo.comListed since May 2026

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