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HumanX 2026

HumanX 2026

6-9 April 2026 · San Francisco, CA · Booth #1617 · Now closed

ABOUT THE EVENT

About HumanX

HumanX is a multi-day gathering for AI builders, buyers, and investors - from startups to large enterprises - focused on how AI actually gets deployed in production. The programme combines strategic keynotes with deep-dive sessions on AI infrastructure, data platforms, and agentic systems, all hosted at Moscone Center South in San Francisco.

OUR PRESENCE

SurrealDB at HumanX

SurrealDB is a multi-model database for AI systems - combining graph, document, relational, vector, and time-series in a single engine. Teams use SurrealDB as the data layer for GraphRAG and knowledge graphs over complex enterprise data, agentic and workflow-driven AI applications, real-time event-driven products that need low-latency state and retrieval, and consolidated AI data platforms that replace database, search, vector, and queue stacks.

WHY MEET US

Built for the AI infrastructure teams shipping into production

Replace the multi-system AI stack with a single engine designed for agents, retrieval, and real-time data. Here is what AI infrastructure and product leaders take away from a conversation with us at HumanX.

One database, one stack

Replace Postgres, Elastic, a vector database, and a graph store with a single engine purpose-built for AI workloads.

Graph and vector RAG, in one query

Run hybrid graph and vector retrieval inside a single SurrealQL query - no stitching together services or pipelines.

Temporal data at trillion scale

Temporal graph, time-travel queries, and tiered storage built for trillion-scale agent and product datasets.

ML execution on attached GPUs

Run in-database machine learning execution on attached NVIDIA GPU hardware - close to the data, low latency.

WHO IT'S FOR

Most useful if you're...

A few signals that mean it is worth pulling us aside on the show floor.

A platform, data, or ML lead

Owning AI stack decisions and looking for a data layer that fits how modern agent systems actually work.

Building copilots or agents

Shipping retrieval-heavy AI products and feeling the pain of stitching together memory, vectors, and graph.

Running multi-system AI infra

Watching AI architecture sprawl across services and infrastructure cost compound month over month.

Modernising in 2025-26

Actively designing or modernising AI and data architectures and looking for a more consolidated approach.

BOOK A MEETING

Missed us at HumanX?

SurrealDB was onsite at HumanX 2026 at Moscone Center South in San Francisco, Booth #1617. Drop us your details and we will be in touch with materials from the booth and a walkthrough of your AI architecture.

  • A walkthrough tailored to your AI stack and use case
  • A look at SurrealDB for GraphRAG, agent memory, and retrieval
  • Time with our engineers on a follow-up call

MORE EVENTS

Explore our other events

See where else SurrealDB is showing up - on stage, on the booth floor, and on-demand.

GET STARTED

Start building with SurrealDB

The context layer for AI agents. Simplify your stack. Reduce complexity. Build faster.

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The context layer for AI agents.

Documents, graphs, vectors, time-series, and memory.
One transaction, one query, one deployment.

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