Bicycle AI isn’t a Dashboard.
It’s your Operating Layer for Real-Time, Revenue-Critical Decisions.
Always-on pattern detection (ML + decision trees) turns live revenue signals into impact-ranked recommendations. By tracing business, technical, and external causes in minutes, teams move from “noticed” to resolved with clear next-best actions.
Pre-wired models for retail, fintech, and travel understand fare classes, SKUs/margins, BINs/issuer logic, and more. This reduces false positives, accelerates time-to-value, and delivers role-specific actions for Ops, Product, and Growth teams.
Bicycle AI models actors and actions (orders, bookings, suppliers, payments, refunds) and enriches the graph with live signals from streaming (Kafka/Kinesis), warehouses (Snowflake/BigQuery/Redshift), operational DBs, and CSVs, creating semantic operational intelligence.
Integrates with your existing stack, including warehouses, streaming systems, and databases, links to observability, session replay, pricing/marketing, and ticketing tools, and triggers fixes via APIs, playbooks, or human-in-the-loop approvals.
Bicycle AI connects to warehouses, streaming systems, and databases to capture events and dimensions in real time, without manual ETL.
Bicycle AI scans technical and business feeds to explain anomalies with full context across internal and external drivers.
Bicycle AI routes findings into alerts, workflows, and tools so teams can fix, automate, or act instantly.
End-to-end encryption and zero AI data retention for sensitive business data.
SOC 2 Type II and GDPR to meet enterprise requirements.
Role-based access, audit logs, and KPI versioning for secure oversight.
Bicycle AI models your business dynamically by linking transactions, supply chains, and external data in real time. Unlike static dashboards, it automatically detects anomalies and growth opportunities without requiring any manual setup.
Bicycle AI provides a complete view of your business by connecting to over 50 data sources. It integrates with your data warehouses, streaming platforms, and databases to capture events and metrics. It also analyzes technical logs and external factors to explain anomalies, then integrates with collaboration tools like Slack or Jira to send alerts and automate workflows.
Our key features include automated data onboarding, AI-driven anomaly detection with root-cause analysis, conversational data exploration, and seamless integration with your existing workflow systems for targeted, role-based insights.
For data leaders, Bicycle AI automates data onboarding and analysis, reducing manual tasks to free your team for strategic work. For business leaders, it delivers instant, role-specific insights to quickly detect revenue risks and growth opportunities, enabling faster, smarter decisions.
Bicycle AI provides enterprise-grade security with end-to-end encryption and zero AI data retention for sensitive business data. We adhere to SOC 2 Type II and GDPR compliance and offer role-based access controls and audit logging for strict governance.
