Scale Your Product with Data

SaaS & Technology

Empower your SaaS product with intelligent analytics. From user behavior tracking to predictive churn models, we help technology companies leverage data for faster growth and better retention.

Compliant with:

SOC 2 Type IIGDPRCCPAISO 27001
0M+

Events/Day Processed

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Churn Reduction

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Faster Feature Decisions

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Data Accuracy

Industry Challenges

Common Pain Points

Data and AI challenges faced by saas & technology companies

01

Product Analytics at Scale

Understanding user behavior across millions of events requires sophisticated analytics infrastructure that most startups lack.

02

Data-Driven Feature Decisions

Making informed decisions about what to build next requires connecting product data with business outcomes.

03

Customer Churn Prediction

Identifying at-risk customers before they leave requires ML models that can process behavioral signals in real-time.

04

Usage-Based Billing

Implementing accurate usage tracking and billing at scale is technically challenging and mission-critical.

05

Multi-Tenant Data Isolation

Ensuring data security and isolation in multi-tenant architectures while maintaining performance.

06

Growth Experimentation

Running A/B tests and experiments at scale requires robust data infrastructure and statistical rigor.

Our Solutions

How We Help

Tailored solutions for saas & technology data challenges

Product Analytics Platform

Build a comprehensive product analytics platform that captures every user interaction and surfaces actionable insights.

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Customer Intelligence Engine

Deploy ML models for churn prediction, upsell opportunities, and customer health scoring that integrate with your product.

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Real-time Event Processing

Implement event-driven architectures that process millions of product events for instant insights and actions.

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Growth Analytics Dashboard

Create executive dashboards that connect product metrics to business outcomes with automated reporting.

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Featured Case Study

How a B2B SaaS Reduced Churn by 40%

We built a predictive customer health scoring system that identifies at-risk accounts 30 days before they churn, enabling proactive intervention from the customer success team.

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Ready to Transform Your SaaS & Technology Operations?

Let's discuss how our solutions can address your specific challenges