The Agentic AI Database. Giving autonomous AI agents sub-second access to live enterprise data at massive scale. Built for production. Formerly CelerData.
😊 It's Data + AI Summit week. Building AI agents? They're only as fast as the database powering them.
PhoenixAI: sub-second SQL at 10K+ QPS, second-level freshness, no precomputation by default.
Find us at Booth 130 — demos + a raffle. #DataAISummit
AI agents don’t wait for dashboards. They generate SQL dynamically, reason over live data, and act on the answer.
See why the agentic AI stack needs an analytical database built for unpredictable queries, low latency, and production reliability 👇
https://t.co/ZehL4fmmMD
🐦🔥 PhoenixAI has raised an $80M Series B.
This funding will accelerate our mission to advance AI-native database infrastructure for the next generation of AI applications and agents.
See why the data layer matters — and why PhoenixAI is built for it: https://t.co/6ycINCGfmm
⏰ Going live in 90 minutes.
Join our webinar at 10 AM PT to learn how AI agents are changing what the data layer needs to support — from latency and concurrency to ad hoc queries, fresh data, and trust.
Register 👉 https://t.co/lwbFD8NiRE
🤗 At AWS Summit LA today?
Catch Rick Underwood at 4 PM on the AWS Partner Spotlight Stage for “Draw the Line: Where Enterprises Should Bet in the AI Platform Shift.”
He’ll cover why the data layer is becoming the foundation for next-gen AI platforms.
https://t.co/4XP05tOuBO
AI agents are crossing the gap from prototype to production.
To reason, act, and improve reliably, they need fast, fresh, trustworthy data at every step.
Join us June 11 for a live session on the data architecture behind production AI agents.
🔗 https://t.co/lwbFD8NiRE
🕺 Heading to AWS Summit Los Angeles on June 10?
Find us on the Expo floor and catch our president Rick Underwood at the AWS Partner Spotlight Stage, discussing where enterprises should bet in the AI platform shift.
👉 🎟️ https://t.co/4XP05tOuBO
Agent-native analytics requires more than fast queries.
Our latest blog covers the full stack: high-concurrency performance, unified access across data types, open lakehouse formats, adaptive optimization, built-in resilience, and MCP.
👉 https://t.co/ggAOplMu88
AI agents need more than reasoning — they need fast, fresh data at every step of the loop.
Join us June 11 for a live session on PhoenixAI Cloud: real-time + historical SQL for agent workloads, from decision → execution → trace.
Save your spot: 🔗https://t.co/lwbFD8NiRE
Still thinking about our PhoenixAI happy hour at Ula 🐦🔥
Thank you to everyone who came out for great data + AI conversations, new connections, and Phoenix Margaritas made just for the event 🍹
Congrats again to our AirPods raffle winners 🎧
See you at the next one!
🐦🔥 Meet Agent Fawkes 👉 https://t.co/j6PYLEGJUJ — the AI copilot inside PhoenixAI Cloud.
Ask in plain English → runnable SQL. Fix broken queries in one click. Optimize, explain, and chart results without leaving the editor. And the model never sees your rows (BYOC).
Last call, and we mean it 🥂
In SF tomorrow? Skip the big networking thing for an hour and come to Ula instead, 6–8pm.
Small room, good drinks, nobody scanning a badge.
We're approving RSVPs one by one and seats are almost gone. Sneak in here👇
https://t.co/NSl8Y3VBm9
Some months you ship a feature. This month we shipped a whole new identity. 🐦🔥
The May issue covers the rebrand, what's new in PhoenixAI Cloud (incl. Agent Fawkes), the latest customer stories in prod, and June 11 launch webinar.
The full recap 👇
https://t.co/qUmEgByb86
You've heard the name. Now come see what PhoenixAI is all about. 🐦🔥
June 11: live session with Sida Shen — what PhoenixAI is, why we're building it, and how it supports the full agent loop (decision → execution → trace).
Bring your questions 👇
https://t.co/FPWwgzwR1N
LLM handles the conversation. PhoenixAI handles the truth.
How Conductor built a 100%-decimal-accurate #AI agent on terabytes:
▸ Sub-second queries (389ms–2.8s)
▸ Idea → prod in <2 months
▸ Split-reasoning, deterministic every run
Full Story👇
https://t.co/wAcnhF4Sm3
Real-time ads. Faster BI. An AI agent that actually works.
CTW (the team behind G123) replaced TiDB + direct lakehouse access with PhoenixAI:
✅ <10s audience freshness
✅ 3× faster Tableau on Delta Lake
✅ 90%+ AI agent accuracy
👇
https://t.co/Sg7WFokisc
PhoenixAI serves AI agents the way they actually query: ad-hoc, sub-second, at 10K+ concurrent QPS on live enterprise data.
The #RealTime Analytical Database for AI agents. In your cloud, or self-hosted.
👉 https://t.co/26wdGQSnBX
CelerData is now PhoenixAI. 🔥
Same team, same database, same commitment — sharper focus on what we've always been building toward: the analytical database for the age of AI agents.
Welcome to PhoenixAI 👉 https://t.co/9b8yUJzABy
⚡Every second counts for 100M+ customers. Intuit IPS delivers 100k+ events/sec with TP99 <500 ms and <4 s freshness. ML ~2 s e2e. Druid → StarRocks = simpler ops, fast joins, native upserts, 98.33% faster aggs.
Get the full scoop👇 https://t.co/qpoG4RCzyt
AI Council SF 2026 is tomorrow — May 12–14 in San Francisco. 🎟️ RSVP: https://t.co/pjIbdRq6Qs
We’re looking forward to conversations with the teams actually building AI and data infrastructure — what’s working, what broke in prod, and what’s coming next!