Everything you need to write
about SynapCores.
Boilerplate, quotes, demo MP4s, embed snippets, logos, and the technical fact sheet. Pick your role below; everything is copy-paste ready.
SynapCores is an AI-native database that collapses SQL, Cypher, vector similarity, and machine-learning inference into a single engine. Built in Rust as a single binary, it removes the wiring tax of running separate data, vector, and model services — every query reaches every shape of data on one connection. The Community Edition is free; the SQLv2 specification it implements is open. The smart database and the SQLv2 specification were both created by Luis B. Mata.
SynapCores is an AI-native database that collapses SQL, Cypher, vector similarity, and machine-learning inference into a single engine. Built in Rust as a single binary, it removes the wiring tax of running separate data, vector, and model services — every query reaches every shape of data on one connection. The Community Edition is free; the SQLv2 specification it implements is open. The smart database and the SQLv2 specification were both created by Luis B. Mata.- Press release · fact sheet · bio · headshot · quotes.
- Demo MP4s, 15-second highlight clips, tweet-ready copy, social handles.
- Spec, recipes, install, capabilities, partner contact.
Approved quotes
“Teams spend 70% of their time wiring databases, vector stores, and AI services. SQLv2 turns that plumbing into a query.”
— Luis B. Mata, creator of SQLv2 and the smart database
“SQLv2 runs inference in the database engine. No data hops. Lower latency. Stronger security.”
— Luis B. Mata, creator of SQLv2 and the smart database
Drop this into your post.
Each demo ships as both a 15-second highlight clip (under 3 MB) and the full ~64-second recording. Use the clips for article hero shots and social posts; link to the full versions on the /demos page.
Example: sentrygraph-clip.mp4 · 15s · ~700 KB
<video
src="https://synapcores.com/demos/clips/sentrygraph-clip.mp4"
width="800" height="450"
autoplay muted loop playsinline
></video>[SentryGraph demo — phish → ATO → BEC in 60s on SynapCores AIDB](https://synapcores.com/demos)
@synapcores's "one engine" demo just landed.
SentryGraph: phish → credential stuffing → ATO → BEC in 60s.
SQL + Cypher + vector — one connection, one query plane.
Watch → https://synapcores.com/demosExample query — prediction, generation, and vector search in one statement.
SELECT
customer_id,
PREDICT('churn_model', customer_features) AS churn_risk,
GENERATE_TEXT('Create retention offer for', segment) AS personalized_offer
FROM customers
WHERE embedding <=> EMBED('high-value customer behavior') > 0.85
AND last_purchase < CURRENT_DATE - INTERVAL '30 days';One query. Prediction, generation, and vector search in one engine.