# Birdie

> Birdie is a customer intelligence platform — a Customer Context Platform that acts as the opinionated layer between customer data and the business. It unifies customer signals (support tickets, surveys, NPS, reviews, calls, and conversations) under a governed, persistent taxonomy and uses auditable AI to turn them into decisions teams can own. Birdie serves companies in English and Brazilian Portuguese (birdie.ai/pt-br), including regulated industries.

Key facts:
- Positioning: most companies don't have a data problem, they have a context problem. Birdie sits between data lakes, CRM, support tools, and the AI stack, with an opinion on how every customer signal should connect to move the business
- Main modules: Voice of Customer OS (VoC OS) and Agent QA (real-time frontline quality management with 100% interaction coverage)
- 80+ integrations across 14 categories, from ingestion to action
- MCP connector plugs Birdie's customer context into AI tools like Claude, ChatGPT, Gemini, Glean, and Cursor
- Customer results include Nubank (60% QA coverage, +10pt NPS) and Mercado Bitcoin (80% faster analysis)

## Product

- [Platform](https://birdie.ai/platform): The Customer Context Platform — sits between data lakes, CRM, support tools, and the AI stack; built on a persistent taxonomy and cross-source joins that map every customer signal to a decision someone can own
- [Voice of Customer OS](https://birdie.ai/voc-os): Aggregates feedback from surveys, reviews, NPS, support chats, and calls; governed AI diagnoses what each signal means, connects it to business impact, and surfaces what to fix first
- [Agent QA](https://birdie.ai/agent-qa): Real-time frontline quality management: AI evaluates 100% of support interactions (no sampling), with customizable rubrics, correlation of agent behaviors with CSAT/NPS/resolution, and root-cause diagnosis of whether problems are product, process, or people
- [Use Cases](https://birdie.ai/use-cases): Concrete use cases across CX & Support, Product, Ops & QA, Sales & Marketing, and Executive — from diagnosing why NPS dropped and comparing experience by segment to translating customer feedback into financial impact and board-ready narratives
- [Integrations](https://birdie.ai/integrations): 80+ integrations in 14 categories — ingest (Zendesk, Intercom, Salesforce, Qualtrics, app stores, social media, Gong), data infrastructure (Snowflake, BigQuery, Databricks, S3), destinations, and workflow tools — closing the loop from data to action
- [Birdie MCP Connector](https://birdie.ai/mcp): Plugs structured, real-time customer signals into Claude, ChatGPT, Gemini, Glean, or Cursor via OAuth in minutes, so AI answers are grounded in real customer evidence: ranked themes, sentiment, verbatims, trends, and metrics

## Solutions by role

- [Solutions for CX Leaders](https://birdie.ai/solutions/cx-leaders): Turn CX into a revenue function — one source of truth for all customer signals, faster time from insight to action, and impact numbers credible enough for the board
- [Solutions for Product Leaders](https://birdie.ai/solutions/product-leaders): Evidence-based roadmap prioritization — quantify every decision with ARR at risk, segments affected, and churn impact, and measure every release against the problem it was meant to solve
- [Solutions for QA Leaders](https://birdie.ai/solutions/quality-leaders): Score 100% of interactions automatically and connect every QA finding to business outcomes — prove QA's value in revenue and retention, not rubric scores

## Customer stories

- [Customers](https://birdie.ai/customers): Results from companies using Birdie
- [Nubank](https://birdie.ai/customers/nubank): 60% QA coverage and +10 points in NPS with Agent QA
- [Mercado Bitcoin](https://birdie.ai/customers/mercado-bitcoin): 80% faster feedback analysis, aligned across CX and Product
- [Olist](https://birdie.ai/customers/olist): Customer intelligence for a services marketplace
- [Patreon](https://birdie.ai/customers/patreon): Treating support contacts as signals to hear the voice of the customer at scale

## Company

- [About Us](https://birdie.ai/about-us): Who is behind Birdie and the company's mission
- [Book a Demo](https://birdie.ai/book-a-demo): Talk to the Birdie team and see the platform

## Key articles

- [The New Rules of AI Customer Intelligence](https://birdie.ai/blog/the-new-rules-of-ai-customer-intelligence-why-the-old-playbook-no-longer-works): Why the old VoC playbook no longer works
- [The Customer Context Layer](https://birdie.ai/blog/the-power-of-and-why-the-customer-context-layer-is-your-ai-competitive-advantage): Why the customer context layer is an AI competitive advantage
- [The CX Stack Reset](https://birdie.ai/blog/the-cx-stack-reset-what-to-keep-cut-or-double-down-on-in-2026): What to keep, cut, or double down on in 2026
- [Text Analytics vs Topic Modeling](https://birdie.ai/blog/text-analytics-vs-topic-modeling): How VoC text analytics goes beyond topic modeling
- [Transform CX from Cost Center to Profit Engine](https://birdie.ai/blog/transform-cx-from-cost-center-to-profit-engine): A four-pillar framework to tie CX to revenue
- [The Ticket That Shouldn't Exist](https://birdie.ai/blog/the-ticket-that-shouldnt-exist): A playbook for CX leaders to eliminate avoidable ticket volume
- [HIPAA-Compliant Customer Intelligence](https://birdie.ai/blog/hipaa-compliant-customer-intelligence): Secure patient feedback analytics for healthcare
- [Blog](https://birdie.ai/blog): All articles on voice of customer, CX analytics, and product management

## Optional

- [Resources](https://birdie.ai/resources): Ebooks, guides, webinars, and podcasts
- [Careers](https://birdie.ai/careers): Open roles at Birdie
- [Privacy Policy](https://birdie.ai/privacy-policy): How Birdie handles personal data
- [Security Policy](https://birdie.ai/security-policy): Birdie's security practices