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 / Finance & Banking

AI agents that act on
live financial data.

Fraud doesn’t wait for batch jobs. Neither do your risk models. PhoenixAI gives financial AI agents sub-second access to live transaction streams — so they detect, assess, and act in the time the threat is actually present.

Book a demo See the product

<1s

Fraud signal to alert

Transaction stream ingestion

10K+

Concurrent agent queries

Sustained throughput

50%

Lower infra cost

vs. legacy Druid deployments

The problem

Real-time data gaps have real consequences.

Without real-time data

Stale data when decisions can’t wait

Fraud models query batch-refreshed data hours behind live transactions
Risk dashboards show yesterday’s portfolio exposure, not today’s
Trading analytics pipelines add minutes of latency to time-sensitive signals
Compliance teams can’t audit transaction patterns in real time

With PhoenixAI

AI agents acting on data that’s actually live

Fraud detection agents query transaction streams within one second of ingestion
Risk models run continuously on live portfolio data — no batch refresh
Trading analytics serve sub-second SQL on tick-by-tick market data
Compliance queries run against live ledger data with full audit logging

Use cases

Where PhoenixAI makes the difference.

Real-time fraud detection

AI agents monitor transaction streams in real time, correlating behavioral signals across accounts to flag anomalies the moment they appear — not hours later.

Agentic AI

Live risk management

Risk models query live portfolio positions and market data continuously. Agents surface threshold breaches and concentration risks the instant they form.

Agentic AI

Compliance & audit analytics

Query the full transaction ledger in real time with row-level access controls. Audit trails are always current — no waiting for overnight batch loads.

Real-time

Works with your financial data stack

Standard SQL. No proprietary query language.

Apache KafkaApache FlinkApache IcebergAWS S3TableauLooker

Show your fraud team what one-second latency looks like.

Meet with our solutions team for a live product walkthrough.

Book a demo See the product