Predictive intelligence platform integrating business systems with market signals
CRED combines internal business data with real-time external intelligence on 200M+ companies to power predictive models for prospect conversion, churn detection, and competitive positioning. The tech stack—GraphQL, BigQuery, dbt, Airflow, and Salesforce—reflects a data-pipeline-first architecture, while active projects around LLM-based workflows and an iOS app suggest expansion beyond browser-based interfaces. The senior-heavy engineering mix (13 of 16 hired roles) coupled with minimal recent hiring velocity indicates a team focused on depth over hiring pace.
CRED is a B2B SaaS platform built for enterprise sales and operations teams. Founded in 2023 and based in San Francisco, the company operates as a small, engineering-concentrated organization (11–50 employees) selling predictive intelligence software that merges proprietary data on companies with machine-learning models. The platform surfaces actionable signals—prospect readiness, churn risk, competitive movements—directly into workflows and CRM systems like Salesforce. Projects span data infrastructure (ingestion, enrichment, high-velocity pipelines), API-driven real-time interfaces, and mobile expansion, alongside efforts to scale revenue-generation processes internally.
CRED's stack includes GraphQL, BigQuery, dbt, Apache Airflow, Node.js, Python, React, and Salesforce. Cloud infrastructure runs on GCP and AWS; mobile development uses Swift and SwiftUI.
CRED posts roles in the United States, United Kingdom, Poland, and Brazil.
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