We have a new look, a new home, and a bolder mission: to bridge the gap between your data warehouse and your decision-makers.

Today, we are thrilled to announce the launch of our new website and a refreshed brand positioning that reflects exactly who we are. Kubit is no longer just about “product analytics”— we are the only agentic digital analytics platform built exclusively for the modern data warehouse.

For too long, product and data teams have been forced to compromise. You either had to copy your data into a “black box” silo, sacrificing control and trust for speed, or suffer through endless analytics ticket backlogs to get answers from your own warehouse.

That era ends now.

The shift: from “siloed” to “warehouse-native”

Our new website isn’t just a fresh coat of paint, it’s a declaration of our philosophy. We believe your data should stay where it belongs: in your warehouse.

Kubit creates a transparent, direct connection to your cloud data warehouse (Snowflake, BigQuery, Databricks, etc.). There is no ETL. No data replication. No wondering if the numbers in your dashboard match the numbers in your database.

By combining warehouse-native architecture with agentic AI, we’re empowering everyone – from product managers to marketers – to self-serve answers instantly, while keeping data teams in full control of governance and metrics.

Seeing is believing: how our customers are winning

The “warehouse-native” approach isn’t theoretical—it’s already driving massive results for some of the world’s most innovative companies. Here is how they are using the new Kubit to turn raw data into ROI:

1. Influence Mobile: 30% increase in ROI

For mobile gaming giant Influence Mobile, speed is everything. They launch multiple features every month and need to track user progress through registration and game downloads instantly.

By switching to Kubit, they eliminated the friction of third-party data syncs. Using our self-service analytics, they analyzed their onboarding flows directly from their warehouse data. The result? They optimized their funnel to reduce friction and increased their ROI by over 30% within a single month — paying for their entire year of service many times over.

“Within a month of onboarding Kubit we were able to analyze and improve our onboarding flows, increasing ROI by over 30%.” 

— Daniel Todd, CEO & Founder, Influence Mobile

2. Miro: Democratizing data for scale

As a leading visual collaboration platform, Miro operates at a massive scale. Their challenge wasn’t just analyzing data, it was bottlenecking. Their data analysts were buried in ad-hoc requests and product teams were waiting days for simple answers.

Kubit’s warehouse-native model allowed Miro to “cut out the middleman” for routine questions. Product managers now self-serve their own insights, freeing up the data team to focus on complex modeling rather than ticket-clearing.

“With Kubit, we’re enabling self-service analytics and giving our Data Team a better experience—with a faster turnaround to insights.” 

— Felipe Leite, Data Product Manager, Miro

3. Vix: Instant answers, zero latency

For Vix, the leading streaming service for the Spanish-speaking world, understanding viewer behavior is critical. They used Kubit to bypass the delay of traditional reporting. Instead of waiting for weekly reports, they could ask questions about user behavior and get answers in minutes, allowing them to iterate on their product in real time.

“Kubit has reduced the workload of my team. It’s so nice to have a truly self-service tool, one where we can teach the Product Managers how to fish, so they can then work on their own-whether that’s monitoring certain activities by themselves, or digging into specific user actions that might be really important to them.” 

— Isabella Poleo  |  Senior Product Analyst at Televisa Univision

Kubit brings the compute to the data

Warehouse-native architecture flips the traditional model on its head by centralizing all of your customer, product, and operational data in a single cloud data warehouse and directly querying it without duplication. Instead of moving your data to each application, you bring the applications right to the source of truth.

When you adopt Kubit, your cloud data warehouse (like Snowflake, Databricks, BigQuery, or ClickHouse) becomes the engine that drives intelligence, no matter how or where you want to access your insights. You can explore data in real time with Kubit’s AI analyst, or use any AI tool that supports MCP to self-serve data within the workflows that make sense for each user.

By eliminating messy, expensive pipelines and allowing applications to read and write directly to the warehouse, you can take back ownership of your future – and the success of your business.

Here’s why warehouse-native architecture is the only way to overcome the limitations of legacy digital analytics:

1. The true “single source of truth”

We’ve used this buzzword for years, but warehouse-native tools finally make it real. When your marketing automation, product analytics, and experimentation tools all run directly on top of the warehouse, there are no syncing errors. There are no “versions.”

If you define a metric in the warehouse, every tool sees the same number. You control the definition – the tools just visualize it.

2. Radical governance and security

Harari’s warning about data control touches deeply on privacy. In a warehouse-native world, data doesn’t leave your perimeter.

• GDPR/CCPA compliance: You don’t have to chase down “right to be forgotten” requests across dozens of SaaS tools. You delete it in the warehouse, and it’s gone everywhere.
• Security: You aren’t entrusting your proprietary data to a startup’s black-box database. It stays in your own cloud environment, under your own lock and key.

3. Agility and speed

When you stop building pipelines to move data around, you start moving faster. Warehouse-native analytics allow you to activate data immediately.

• No more ETL fatigue: Analytics Engineers stop acting as “digital plumbers” fixing broken pipelines and start acting as strategists.
• Live activation: You can trigger an email campaign based on a transaction that happened seconds ago, because the email tool is reading directly from the warehouse where the transaction was recorded. There is no data drifting. 

Your AI-ready stack starts with Kubit

The new digital analytics toolset is built on warehouse-native architecture that can scale to handle any volume or complexity of data. Here’s the three-layer anatomy of this modern stack:

1. The foundation: the cloud data warehouse

At the core of warehouse-native analytics sits, of course, your warehouse itself (e.g., Snowflake, Databricks, BigQuery). This is the gravitational center and where all insights will be sourced

• Role: It acts as the only place where data is stored.
• Key Difference: In the old world, the warehouse was a destination (a graveyard for data). In this architecture, it is a well-governed, dynamic, and trusted source.

2. The logic: the semantic layer

Sitting directly on top of the warehouse is the transformation or “modeling” layer (often managed by tools like dbt). In a digital analytics platform like Kubit, this layer contains business-specific definitions, best-practice visualizations like funnels and sankey diagrams, and a variety of access and compliance controls.

• Role: This is where raw data is turned into business meaning. You define what “Revenue” or “Active User” means here, using SQL.
• Key Difference: Logic is defined once in code, not twenty times across twenty different dashboards.

3. The activation: the connected apps

Finally, you have your business tools—but they function differently now. Instead of duplicating your data and further fragmenting the landscape, they’re part of a connected ecosystem that queries data directly from your cloud data warehouse.

• Role: These apps (Product Analytics, Marketing tools, Experimentation, Engagement Campaigns, CRM) act as “skin” or “interfaces.” They do not store their own silos of data.
• Key Difference: When you load a customer profile in a warehouse-native support tool, it runs a query against your warehouse in real-time to show you the data. No syncing. No stale records.

Meet the future: agentic AI

With our new launch, we are also doubling down on Kubit Lumos—our AI-powered capabilities.

Because we sit directly in your warehouse, our AI doesn’t hallucinate on stale data. It queries the live source of truth.

• Report Agents instantly translate natural language questions into precise SQL queries and visualizations.
• Detect Agents proactively monitor your KPIs 24/7 to identify statistical anomalies before you even look at a dashboard.
• Diagnoser Agents explain why a metric dropped, not just that it dropped.
• Narrative Agents turn complex charts into plain-English stories stakeholders can actually understand.
• Historian Agents remember your organization’s specific metric definitions to ensure consistent, hallucination-free answers.

Explore the new Kubit

We invite you to explore our new website. You’ll find expanded resources, deeper dives into our technology, and more stories about how companies are taking back control of their data.

Stop moving your data. Start moving your business.