Products

PhoenixAI Cloud Fully managed. Cloud or self-hosted. Pricing Flexible plans for every scale.

Use Cases

AI & Agents Real-time data for agentic AI workloads. Real-Time Analytics Sub-second queries on live data streams. Customer-Facing Analytics Embedded analytics built for your product. Lakehouse Analytics Query Iceberg and Delta Lake at sub-second speed.

Industries

Finance & Banking Logistics & Transportation Manufacturing Healthcare Retail & E-Commerce Energy & Utilities Telecommunications Public Safety & Government

Comparisons

PhoenixAI vs. Databricks Real-time OLAP vs. batch-first lakehouse. PhoenixAI vs. ClickHouse Managed, governed, and built for AI workloads. PhoenixAI vs. Snowflake Real-time freshness vs. warehouse latency.

Learn

Blog AI agents, real-time analytics, and data engineering. Docs Full technical documentation. Glossary Key terms in real-time analytics and AI data.

Assets & Events

Whitepapers Deep technical reads on performance and architecture. Events Conferences, meetups, and online sessions. Customer Case Studies Real-life customers stories of how they transformed their data stack.

Latest whitepaper

Real-Time Analytics for Customer-Facing Applications Whitepaper

Analytics is no longer just a tool for internal decision-makers.

Download free

About

About PhoenixAI Who we are and why we built this. Partners AWS, Confluent, Databricks, and more. Newsroom Press coverage and announcements.

Join us

Careers Open roles at PhoenixAI. Contact Talk to our team directly.

Customer story

How Coinbase cut dashboard load time from 8s to 80ms

Real numbers from a production deployment at scale.

Read the story

Industry / Healthcare

Clinical agents working on
data that’s current.

Patient vitals change in seconds. Bed capacity shifts by the hour. Disease signals emerge across thousands of records simultaneously. PhoenixAI gives clinical AI agents live access to the data that drives those decisions — without batch lag.

Book a demo See the product

<1s

Vital event to queryable

Wearable / monitor stream

10K+

Concurrent queries supported

Multi-system access

100%

Audit trail coverage

Row-level security built in

The problem

Real-time data gaps have real consequences.

Without real-time data

Clinical systems working on stale data

Patient monitoring dashboards pull from batch-refreshed data warehouses
Capacity management systems update hourly, not continuously
Epidemiological signals buried in overnight batch aggregations
Cross-system patient data requires complex ETL before it’s queryable

With PhoenixAI

AI agents acting on live clinical data

Vital sign streams from wearables and monitors queryable within one second
Capacity agents track bed availability and patient flow in real time
Epidemiological patterns surface as data arrives — not the next morning
Single SQL layer across EHR, IoT, and operational data with full governance

Use cases

Where PhoenixAI makes the difference.

Real-time patient monitoring

AI agents continuously query live vital sign streams from wearables and bedside monitors. Deterioration patterns trigger alerts the moment they form — not at the next dashboard refresh.

Agentic AI

Capacity management

Bed occupancy, discharge queues, and admission rates all update in real time. Agents surface bottlenecks and optimize patient routing across units and facilities.

Agentic AI

Epidemiological surveillance

Query patient records, lab results, and geographic data simultaneously to identify outbreak signals. Public health teams act on patterns as they emerge across populations.

Real-time

Works with your healthcare data stack

Standard SQL. No proprietary query language.

Apache KafkaApache IcebergAmazon S3HIPAA-compliant deploymentTableauPower BI

Give your clinical agents data that’s actually live.

Meet with our solutions team for a live product walkthrough.

Book a demo See the product