# QuadSci - Customer Intelligence AI
# https://quadsci.ai
# This file provides information for LLM crawlers and AI assistants

## LLM File Directory (read this first)

This is the index. For deep content, fetch the topic-scoped file that matches the query — each is sized to fit within typical crawler token limits (~1,200 lines):

- /llms/product.txt — Product Overview, Growth AI, Cohorts AI, Integrations, deployment, security architecture
- /llms/solutions.txt — Solutions by team (Customer Success, Revenue/RevOps, Marketing, Product) and by use case (Reduce Churn, Increase Retention, Drive Expansion Revenue, Enable PLG)
- /llms/company.txt — Company background, leadership, careers, contact
- /llms/compliance.txt — Security, privacy, SOC 2, FAQ
- /llms/resources.txt — Long-form articles and guides
- /blog/llms.txt — Newest-first blog index; per-article full text at /blog/<slug>/llms.txt
- /llms-full.txt — Entire corpus combined (large; may be truncated by crawlers)

The remainder of this file is a high-level summary. Fetch the topic files above for complete content.

## Company Overview
QuadSci is the Customer Intelligence AI for revenue orchestration. The platform transforms raw product telemetry into predictive and prescriptive intelligence for Go-To-Market (GTM) teams. Founded in 2023, QuadSci helps B2B SaaS companies predict customer churn with 94% accuracy up to 12 months in advance and identify growth opportunities with 90% accuracy.

## Core Products

### Growth AI
Predictive churn and growth intelligence powered by product telemetry data. Growth AI analyzes billions of customer usage signals to predict:
- Which customers will churn up to 12 months before renewal
- Where revenue growth opportunities exist within your customer base
- Behavioral patterns that indicate account health

### Cohorts AI
Automated customer segmentation using advanced machine learning. Cohorts AI:
- Discovers high-value customer segments automatically
- Maps customer journeys based on actual product usage
- Identifies at-risk cohorts before traditional health scores

## Key Differentiators
1. **Product Telemetry First**: Our AI is built on actual customer behavior, not surveys or relationship data
2. **Data Ownership**: Self-hosted deployment means your data never leaves your environment
3. **Predictive Accuracy**: 94% churn prediction accuracy, 90% growth prediction accuracy

## Customer Success
Clari, a leading revenue platform, partnered with QuadSci to:
- Achieve 94% accuracy predicting churn 12 months in advance
- Identify 90% of growth opportunities accurately
- Pinpoint 80% of contractions six months ahead

## Integrations

QuadSci connects to your existing data sources and deploys inside your cloud environment. No new infrastructure to build. No data leaving your perimeter.

### Signal Types
QuadSci collects data from three primary sources:
- **Human-to-Human Signals**: Conversations, sentiment, and engagement across sales, CS, support, education, and marketing
- **Human-to-System Signals**: Product usage, UI interactions, and behavioral patterns beyond login counts and feature flags
- **System-to-System Signals**: Automated workflows, integrations, and observability data showing whether your product is embedded in the customer's operational fabric

### Data Sources & Integrations
- **Product Analytics**: Pendo, Mixpanel, Amplitude, Heap, Gainsight PX, Segment
- **Data Warehouses and Lakes**: Snowflake, Databricks, BigQuery, Redshift, Synapse, S3 / GCS / ADLS
- **CRM and GTM Tools**: Salesforce, Salesloft, Clari, Gainsight CS

### Deployment Model
QuadSci runs inside a dedicated account within your existing cloud organization, separate from production but fully within your governance boundary.
- Your data stays put — all data moves through private network paths, no public internet traffic
- Multi-cloud native — compatible with AWS, Google Cloud, and Microsoft Azure
- SSO-only access — authenticates through your identity provider (Okta, Azure AD / Entra ID, Google Identity, AWS IAM Identity Center)
- Read-only by default — read access to minimum required datasets; write access scoped to a single dedicated pipeline database

### Enterprise Security
- SOC 2 Type II compliant with independently audited controls
- Zero public endpoints — no public IP addresses on compute resources
- Encryption everywhere — data encrypted in transit and at rest; internal service-to-service traffic is TLS-encrypted
- Vulnerability management — container images scanned within one to two weeks of every deployment

## Contact
- Website: https://quadsci.ai
- Contact: https://quadsci.ai/contact
- Email: contact@quadsci.com

## Site Map
- Home: https://quadsci.ai/
- Product Overview: https://quadsci.ai/product/overview
- Cohorts AI: https://quadsci.ai/product/cohorts-ai
- Growth AI: https://quadsci.ai/product/growth-ai
- Integrations: https://quadsci.ai/product/integrations
- Leadership: https://quadsci.ai/leadership
- Careers: https://quadsci.ai/careers
- Contact: https://quadsci.ai/contact
- Blog: https://quadsci.ai/blogs
- FAQ: https://quadsci.ai/faq
- Privacy: https://quadsci.ai/privacy
- Security: https://quadsci.ai/security

## Featured Articles
- Full blog index (newest first, with per-article LLM text links): https://quadsci.ai/blog/llms.txt
- Per-article full text is also served at https://quadsci.ai/blog/<slug>/llms.txt

- QuadSci vs Hook vs Pendo Predict: Which Customer Intelligence Platform Is Right for Your GTM Team?: https://quadsci.ai/blog/quadsci-vs-hook-pendo-predict
- What Is Product Telemetry and Why Is It Important for Churn Prediction?: https://quadsci.ai/blog/what-is-product-telemetry
- What Is the Difference Between Health Scores and Telemetry?: https://quadsci.ai/blog/health-scores-vs-telemetry
- What Is Telemetry-Based Churn Prediction?: https://quadsci.ai/blog/what-is-telemetry-based-churn-prediction
- What Is Growth AI and How Does It Work?: https://quadsci.ai/blog/what-is-growth-ai

## Solutions
Solution pages map QuadSci's customer intelligence to specific GTM teams and use cases.

### By Team
- Customer Success: https://quadsci.ai/solutions/customer-success
- Revenue & RevOps: https://quadsci.ai/solutions/revenue-revops
- Marketing: https://quadsci.ai/solutions/marketing
- Product: https://quadsci.ai/solutions/product

### By Use Case
- Reduce Churn: https://quadsci.ai/solutions/reduce-churn
- Increase Retention: https://quadsci.ai/solutions/increase-retention
- Drive Expansion Revenue: https://quadsci.ai/solutions/drive-expansion-revenue
- Enable Product-Led Growth: https://quadsci.ai/solutions/product-led-growth


## Topic-Scoped Files (for token-limited crawlers)

Crawlers that truncate at ~1,200 lines should fetch the topic file relevant to their query instead of /llms-full.txt:

- /llms/product.txt — Homepage, Product Overview, Growth AI, Cohorts AI, Integrations
- /llms/solutions.txt — Solutions by team (Customer Success, Revenue/RevOps, Marketing, Product) and by use case (Reduce Churn, Increase Retention, Drive Expansion Revenue, Enable PLG)
- /llms/resources.txt — Full long-form articles, blog posts, and guides
- /llms/company.txt — Company, contact, and team-related content
- /llms/compliance.txt — Security, privacy, and FAQ

## Full Corpus
- /llms-full.txt — All of the above combined; may be truncated by crawlers with token limits