Book a demo
Customers & MarketEvent: September 4, 2026

Nixtla adopted Lyft's forecasting-driven anomaly detection approach using expected time-series behaviour to determine whether a change was genuinely unusual

Published

Signal category

Customers & Market

Quote

Lyft adopted Nixtla’s forecasting-driven anomaly detection approach

David 大衛 Mead 米德|Nixtla team

Company

Nixtla

Forecasting & Anomaly Detection: accurate predictions and detect anomalies with Nixtla's industry-leading solutions

Industry
Technology, Information and Internet
Location
San Francisco, US
Company size
38 employees

Transforming Enterprise Decision-Making Through Advanced Time-Series AI Secure, scalable, and easy-to-deploy forecasting and anomaly detection, trusted by Fortune 500 enterprises.

Founded 2021

Customize signals for your business.

Know everything happening across the B2B world, and act on the company movements that matter to you.

© 2026 SeedOpsCompany intelligence.

SeedOps.

Nixtla adopted Lyft's forecasting-driven anomaly detection approach using expected time-series behaviour to determine whether a change was genuinely unusual | SeedOps