---
title: "Uber"
description: "a global technology platform that connects people who need a ride or delivery with independent drivers and couriers through a smartphone app."
---

# Uber
> a global technology platform that connects people who need a ride or delivery with independent drivers and couriers through a smartphone app.

## Articles

### [How to Rent a Car in Spokane, Washington](https://yomu.fyi/post/how-to-rent-a-car-in-spokane-washington.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Jun 15, 2026
- Type: Tutorial

Renting a car in Spokane can provide flexibility for city travel, work visits, longer stays, and drives to nearby destinations. Uber Rent lets travelers browse, compare, and book vehicles from rental companies in the Uber app or online, with options including compact cars, SUVs, and same-day or advance reservations. The booking flow covers entering pickup and drop-off details, completing payment either in advance or at the rental counter, collecting the vehicle with a valid driver’s license and physical card, and returning it to the stated location. The source says renters must be at least 18, while a Young Driver Fee may apply under 25; personal insurance is not required, though suppliers may offer protection plans, and requirements can vary by vehicle and supplier.


### [How to Rent a Car in Peoria, Arizona](https://yomu.fyi/post/how-to-rent-a-car-in-peoria-arizona.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Jun 15, 2026
- Type: Tutorial

Renting a car in Peoria, Arizona, is presented as an option for local transportation, regional trips, and travel from Phoenix Sky Harbor International Airport (PHX). Uber Rent lets users compare and book vehicles from participating rental companies, including Budget, Hertz, and Avis, through the Uber app or online, although availability varies by location. The booking process covers entering pickup and dropoff details, reserving a vehicle, collecting it with a driver’s license and payment method, and returning it to the listed location; reservation details appear in the app and confirmation email. The source advises matching vehicle type and rental duration to the trip, reviewing base rates and extra fees, and checking requirements such as a minimum age of 18, a physical credit card in the primary driver’s name, and supplier-specific conditions.


### [How to Rent a Car in Bakersfield, California](https://yomu.fyi/post/how-to-rent-a-car-in-bakersfield-california.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Jun 15, 2026
- Type: Tutorial

Renting a car in Bakersfield can provide flexibility for city travel, trips beyond the city, airport arrivals through Meadows Field Airport (BFL), business stays, or extended visits. The guide describes using Uber Rent to browse, compare, and book vehicles from rental companies, with options ranging from sedans to SUVs and reservations available through the Uber app or online. It outlines choosing a vehicle based on trip purpose, space, rental duration, and budget, then covers reserving, picking up, and returning the car while keeping booking details in the app and confirmation email. Requirements include being at least 18, presenting a matching valid driver’s license and physical credit card, and reviewing supplier-specific conditions; personal car insurance is not required, though protection plans may be offered at pickup.


### [Simplifying Data and Product Integrations with a Data Abstraction Layer](https://yomu.fyi/post/simplifying-data-and-product-integrations-with-a-data-abstraction-laye.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Jun 11, 2026
- Type: Explainer

Uber built a domain-agnostic Data Abstraction Layer (DAL) to decouple data consumers from changing physical datasets and simplify advertiser reporting. The DAL is an RPC service that accepts a logical table, schema, time range, and filters; logical tables define the interface, while configuration describes locations, relationships, availability windows, and rollup transforms. It generates database-specific queries, runs them in parallel across systems such as an internal OLAP database, Docstore, and Apache Hive, and assembles responses with aggregation and rollup behavior determined by the request. Removing a dimension can produce an account-level response with metrics automatically rolled up, while mixed realtime and daily tables can cover different portions of a requested time range. For advertiser reporting, the approach reduced new report delivery from several weeks or months to under two days and enabled dynamic filters, report builders, and third-party API integrations.


### [Introducing Boost+](https://yomu.fyi/post/introducing-boost.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Jun 11, 2026
- Type: Announcement

Boost+ is an updated promotion for delivery drivers that adds pay to eligible trips during periods and locations of high demand. The promotion applies automatically when a trip’s pickup is in a designated blue zone during listed hours, and the extra amount appears in the fare shown on the trip request. Its calculation uses estimated active time—from accepting the trip through delivery—rather than time spent online waiting; for example, a 30-minute trip at $10 per active hour receives $5 in Boost+ pay. Drivers can find upcoming opportunities in the Discover tab and on the map, view total Boost+ earnings in the trip receipt, and combine the promotion with Quests and other promotions. Availability varies by city, and time beyond the estimated active time does not qualify for Boost+ pay.


### [Piloting a new offline heatmap with delivery zones](https://yomu.fyi/post/piloting-a-new-offline-heatmap-with-delivery-zones.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Jun 10, 2026
- Type: Announcement

The Driver app is piloting a new offline heatmap on its home screen in select US cities. It shows where couriers can go online instantly and indicates demand levels intended to help them find trips more quickly. Each outlined delivery zone is color-coded red for high demand, orange for medium demand, yellow for low demand, or grey for areas open only to Platinum and Diamond couriers. The map refreshes every 10 minutes; couriers can tap a zone to see its name or navigate there, then see nearby busy restaurants and stores after going online. The announcement lists participating locations across the United States.


### [Under the Hood: Scaling Responsible AI at Uber](https://yomu.fyi/post/under-the-hood-scaling-responsible-ai-at-uber.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Jun 9, 2026
- Type: Explainer

Uber describes a company-wide Responsible AI program designed to govern models developed across its many platforms and teams as AI becomes central to products and services. Its five pillars are visibility, explainability, governance, education, and adoption, implemented through a centralized Model Catalog, automated metadata, feature attribution, lifecycle controls, and employee learning resources. Model Cards provide searchable model descriptions, metrics, deployment details, and documentation, while Michelangelo integrates global, local, and deep-learning explanations using PFI, SHAP-based methods, TreeSHAP, and integrated gradients. Governance is shifted left into product and engineering reviews, with completion prompts before deployment, and adoption work brings existing models into scope through lifecycle-aware, technology-agnostic, context-sensitive controls. The program gives engineers and oversight teams shared visibility into model behavior and risk while aiming to support continued AI growth without losing accountability and trust.


### [NYC Bike Courier Regulations FAQ](https://yomu.fyi/post/nyc-bike-courier-regulations-faq.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Jun 9, 2026
- Type: Explainer

New York City couriers who deliver by bike or e-bike must meet requirements covering platform identification, protective equipment, bicycle hardware, and Department of Transportation safety training. The FAQ explains how to submit a New York or New Jersey mailing address in the Uber Driver app, receive an Uber-branded vest and photo ID, request replacements, and troubleshoot shipping or address changes. It lists required equipment including a helmet, front lamp, bell, side reflectors, and working brakes, while noting that replacements are available six months after the first order and brake reimbursements require dated, itemized receipts for eligible purchases on or after April 8, 2026. Training requires a DOT account using the Uber-associated email, a quiz, and certificate sharing through a 10-digit Worker ID or the app.


### [Building a File Semantic Analyzer: Guarding Outbound Data at Scale with AI](https://yomu.fyi/post/building-a-file-semantic-analyzer-guarding-outbound-data-at-scale-with.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Jun 4, 2026
- Type: Problem & solution

Organizations struggled to determine whether files leaving their environment contained business-critical information, personal data, or non-essential content. Uber’s File Semantic Analyzer (FSA) addresses the limits of keyword- and pattern-based DLP by extracting text from documents, using OCR for image-based files, chunking large inputs, and sending context-rich text to a fine-tuned large language model. The model produces summaries, named entities, key phrases, inferred intent, classifications, and explanations, which a rule-based engine uses for policy enforcement while analysts validate high-fidelity findings and provide feedback. The system reduced incident-response time from multiple hours to a few minutes per case, saves an average of five minutes per file, and is expected to analyze 150,000 files annually; the post reports a 97% reduction in false positives.


### [Massachusetts Drivers: Proposed Regulations May Impact Your Ability to Earn](https://yomu.fyi/post/massachusetts-drivers-proposed-regulations-may-impact-your-ability-to.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Jun 4, 2026
- Type: Explainer

Massachusetts’s Department of Public Utilities (DPU) is considering proposed changes to transportation-network-company regulations that could affect drivers’ platform access, earnings, and operating costs. The proposal would expand the existing two-part background-check process by requiring seven years of driver-license history, birthplace, full Social Security documentation, Driver Verification System enrollment, and possible consultation with other agencies. It would also give DPU broader suspension authority, restrict hearing and deactivation-appeal rights, impose annual training, block vehicles with any open recall, regulate surge, and require rental vehicles to be electric within one year. Uber Black drivers could face new insurance, registration, and inspection requirements, while TNCs could incur fees that may increase fares. The post provides June 8, 2026 public-hearing details and instructions for submitting testimony.


### [Uber Advertising Launches New APIs to Unified Campaigns & Workflows](https://yomu.fyi/post/uber-advertising-launches-new-apis-to-unified-campaigns-workflows.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Jun 2, 2026
- Type: Announcement

Uber has launched Uber Ads APIs to reduce the need to manage advertising and performance across separate tools and systems. The APIs let POS systems, aggregators, agencies, and other partners create and manage campaigns programmatically while giving brands direct or integrated access to performance and sales data. They support onboarding, activation, and ongoing campaign management across a merchant base, including campaigns for restaurants and Sponsored Listings. Partners can embed Uber Ads in existing platforms so merchants can launch campaigns and increase visibility without navigating separate workflows. Documentation, representative contact, and an integration-planning process provide the stated starting points, with the broader aim of combining advertising and operations in a unified retail media system.


### [Uber Reveals 2025 “Airport of the Year” Award Winners](https://yomu.fyi/post/uber-reveals-2025-airport-of-the-year-award-winners.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Jun 2, 2026
- Type: Announcement

Uber’s 2025 Airport Awards recognize airports in San Antonio, San Diego, Dallas, and Pittsburgh for improving rideshare reliability, infrastructure, and rider experience. San Antonio International Airport won Quickest Pickup, reporting an average on-demand pickup time of just over four minutes after implementing a nearby staging lot, advanced dispatch technology including ExpressMatch, defined pickup zones, and efficient loading practices. San Diego International Airport and Dallas Love Field received Experience Obsessed recognition for redesigned pickup arrangements, while San Diego added a pedestrian-island setup and secondary staging lot and Dallas replaced a difficult garage location with a terminal-adjacent area. Pittsburgh International Airport won Smartest Space for pull-through loading bays, coordinated signage, Rematch and Prematch technology, and a larger driver waiting lot designed to improve matching, reliability, and pickup speed.


### [Modernizing Artifact Storage at Uber](https://yomu.fyi/post/modernizing-artifact-storage-at-uber.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: May 28, 2026
- Type: Problem & solution

Uber’s legacy artifact platform used two five-node clusters with local disks, asynchronous replication, and GeoDNS failover to support builds across monorepos and microrepos. As artifact volume grew, limited node capacity, inconsistent replication, manual hardware evacuation, and risky multi-terabyte upgrades created operational and data-loss risks. Uber moved to a managed SaaS platform with multi-region availability, cross-region replication, and cloud-native blob storage, then added an internal validation proxy in front of it. The proxy uses MySQL metadata and conditional requests, including If-None-Match and If-Modified-Since, to validate artifacts against the SaaS origin while reusing unchanged bytes; failures can fall back to passthrough, preserving correctness at higher latency and egress cost. The design reduced operational risk, improved observability, and made artifact delivery more cost-efficient at scale.


### [Use Passkeys Wherever You Sign in to Uber](https://yomu.fyi/post/use-passkeys-wherever-you-sign-in-to-uber.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: May 26, 2026
- Type: Explainer

Uber rolled out passkey authentication across mobile apps and websites, allowing users to sign in without passwords. Passkeys use a device-generated public-private key pair: the server stores the public key, while the device’s password manager protects the private key and requires biometric, PIN, or pattern authorization. Registration sends creation options and a challenge to the authenticator, which returns an attestation for server validation; sign-in similarly returns a signed assertion that the server verifies with the stored public key. This design keeps private keys and user authorization data on the authenticator, improving resistance to phishing, credential stuffing, brute force, and replay attacks. Uber reported low initial adoption and noted inconsistent browser and device support, user education needs, and technical complexity; it plans to use adoption data and post-authentication prompts to improve onboarding.


### [Solving the Identity Crisis for AI Agents](https://yomu.fyi/post/solving-the-identity-crisis-for-ai-agents.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: May 21, 2026
- Type: Explainer

Uber describes its 2025 effort to give AI agents verifiable identities and preserve attribution as agents act for users across compositional, multi-step workflows. The problem is that conventional human and workload identities expose only generic service identities, dropping originating users and intermediate agents across hops and weakening audits, authorization, and incident response. The design extends Uber’s Zero Trust Architecture with an Agent Registry, an AI Agent Mesh, Security Token Service (STS), MCP Gateway, downstream systems, and an AI Gateway, while integrating identity and context propagation into the agent SDK. Workloads obtain cryptographically signed workload SVIDs from SPIRE, and STS issues short-lived, scoped JWTs for each hop; MCP Gateway authenticates and authorizes tool calls. Production metrics reported show P99 STS token-exchange latency consistently below 40 milliseconds, while the roadmap places dynamic access control and unified policy enforcement above the identity foundation.


### [Safety guidelines for autonomous mobility and delivery on the Uber Platform](https://yomu.fyi/post/safety-guidelines-for-autonomous-mobility-and-delivery-on-the-uber-pla.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: May 20, 2026
- Type: Announcement

Uber has updated its Safety Guidelines for Autonomous Mobility & Delivery Providers after three years of real-world autonomous vehicle deployment and onboarding new autonomous modalities. The expanded framework addresses new AI standards, advances in industry safety standards, food safety for sidewalk robots, and delivery drone safety. It works alongside regulations and industry best practices, while Uber uses a partner-specific Safety Plan assessment rather than one universal metric or threshold. The AM&D Safety Program covers planning, demonstration, and operation, with reporting on safety performance and obligations for partners at each stage. Assessment considers each partner’s planned scope and comprehensive safety approach, including testing and validation, as the platform seeks consistent, transparent, and accountable deployment across mobility and delivery use cases.


### [Scaling Real-Time Traffic Forecasting with a Graph-Aware Transformer](https://yomu.fyi/post/scaling-real-time-traffic-forecasting-with-a-graph-aware-transformer.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: May 19, 2026
- Type: Explainer

DeepETT is Uber’s real-time traffic forecasting system for estimating traversal times on roughly 100 million road segments, supporting routing and arrival-time estimates. It replaces a legacy blend of recent observations and historical patterns with a deep-learning model designed for rapidly changing conditions, sparse roads, and long trips. To keep deployment predictable at global scale, the system uses fixed-size computation over pre-aggregated segment, graph, region, hourly, weekly, and event views rather than a dynamic graph, while predicting segment ETTs independently of routing. Training targets segment-level mean squared error, while trip-level mean absolute error is evaluated offline after routing sums segment forecasts; calibration and continual real-time correction address downstream error. In a global A/B test, long-trip arrival-time accuracy improved 6%, variance explained rose 19%, navigation defects fell 2.73%, and mobility gross bookings increased by an estimated $100 million annually, with forecasts exceeding 2 million per second.


### [One Stone, Three Birds: Finer-Grained Encryption @ Apache Parquet™](https://yomu.fyi/post/one-stone-three-birds-finer-grained-encryption-apache-parquettm.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: May 19, 2026
- Type: Problem & solution

Apache Parquet modular encryption is presented as a way to unify fine-grained access restriction, column-specific retention, and encryption at rest for large Hadoop-based data platforms. The approach encrypts selected columns with different keys at the Parquet file-format layer while preserving column projection, predicate pushdown, encoding, and compression; schema-controlled encryption avoids extra RPC calls and supports tag-driven policies. The post describes operational challenges including multiple access paths and Parquet versions, hard versus soft denial, KMS reliability, historical backfills, changing schema tags, and mixed data formats, alongside auto-onboarding and a high-throughput tool for existing data. In an evaluation using Java 8, CTR mode, and 60% encrypted columns, encryption added 5.7% to writes and 3.7% to reads, while the tool encrypted data 20 times faster; the changes were merged upstream for Parquet 1.13.0.


### [Cost Efficiency @ Scale in Big Data File Format](https://yomu.fyi/post/cost-efficiency-scale-in-big-data-file-format.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: May 19, 2026
- Type: Problem & solution

Uber’s rapid data growth increased storage and access costs, along with hardware demand, resource use, and risks such as out-of-memory conditions and long GC pauses. The work focuses on Parquet-level file-size reduction through ZSTD compression, unused-column pruning, column ordering, decimal precision reduction, and advanced encodings, while benchmarking storage and query costs across representative workloads. Converting top Hive tables from GZIP to ZSTD cut storage by about 7%, and from SNAPPY by about 39%; previously uncompressed tables saw about 79% reduction, while benchmark queries generally used fewer vCore seconds with ZSTD. For offline conversion, level 19 was selected because higher levels did not improve reduced size while increasing write time. The work also reports a 32% reduction from suitable four-column sorting and upstream Parquet changes, including faster translation and high-throughput pruning.


### [Piloting estimated earnings per kilometer on trip requests](https://yomu.fyi/post/piloting-estimated-earnings-per-kilometer-on-trip-requests.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: May 14, 2026
- Type: Announcement

Uber is piloting an estimated earnings per kilometer badge on trip requests in selected cities, giving drivers another way to compare potential trips alongside the upfront fare. The calculation starts with the upfront trip fare and divides it by the total estimated driving distance: from the driver’s acceptance location to pickup, plus from pickup to the final destination. It is intended as a benchmark that works across requests with different durations and excludes distance driven while waiting between rides. Drivers continue to be paid per trip based on the upfront fare, not per kilometer; the estimate is not a guarantee, can change when trip details change substantially, and may differ from actuals because the distance estimates depend on the driver’s location and request details.


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