---
title: "Energy and Manufacturing | Solutions | SurrealDB"
description: "Monitor and optimise energy production, edge devices, industrial operations, and public infrastructure with real-time data and AI-driven insights."
url: https://surrealdb.com/solutions/energy-and-manufacturing
---

# AI-driven operations at scale

Unified, AI-ready database platform for real-time infrastructure monitoring, predictive maintenance, and intelligent automation - from cloud to edge.

[Start free with SurrealDB](https://studio.surrealdb.com/current/instances/deploy) [Talk to sales](https://surrealdb.com/contact/sales)

1. ![Babcock](https://surrealdb.com/assets/static/babcock.lo4rnVg1.svg)
2. ![ING](https://surrealdb.com/assets/static/ing.X3I6S3_V.svg)
3. ![British Airways](https://surrealdb.com/assets/static/british-airways.KEsZiwV-.svg)
4. ![Nvidia](https://surrealdb.com/assets/static/nvidia.DaIEuMil.svg)
5. ![Apple](https://surrealdb.com/assets/static/apple.D5pq4flY.svg)
6. ![SpaceX](https://surrealdb.com/assets/static/spacex.CQJEk-IL.svg)
7. ![Samsung](https://surrealdb.com/assets/static/samsung.CH-vQgnb.svg)
8. ![adidas](https://surrealdb.com/assets/static/adidas.DdTC5qhk.svg)
9. ![Tencent](https://surrealdb.com/assets/static/tencent.paQmLxyy.svg)
10. ![Alibaba](https://surrealdb.com/assets/static/alibaba.B16idgfM.svg)
11. ![PolyAI](https://surrealdb.com/assets/static/poly-ai.c3w_fAg6.svg)
12. ![Later](https://surrealdb.com/assets/static/later.Ds736jFO.svg)
13. ![Verizon](https://surrealdb.com/assets/static/verizon.BI7CajdX.svg)
14. ![Liberty Mutual](https://surrealdb.com/assets/static/liberty-mutual.B7qOU1pd.svg)
15. ![Walmart](https://surrealdb.com/assets/static/walmart.BjDg_Sr8.svg)
16. ![Carrier](https://surrealdb.com/assets/static/carrier.D21gC6NX.svg)
17. ![Saks Fifth Avenue](https://surrealdb.com/assets/static/saks-fifth-avenue.COIDpLSb.svg)
18. ![San Francisco Compute Company](https://surrealdb.com/assets/static/sfcc.B7jlImq4.svg)
19. ![Shield AI](https://surrealdb.com/assets/static/shield-ai.pINZ0KJr.svg)
20. ![Wix](https://surrealdb.com/assets/static/wix.DvHhmoBi.svg)

CAPABILITIES

## Security and portability from edge to cloud

SurrealDB capabilities built for distributed industrial environments and edge deployments.

### Robust memory safety and high performance

Written in Rust for memory safety guarantees with performance equivalent to C/C++, trusted by security-critical industries.

### Portability to edge and embedded systems

Process data on-site, in-browser via WebAssembly, or across remote environments. Ideal for IoT-driven energy grids, smart factories, and field-deployed systems.

### AI-ready: native vector and knowledge graph

Native vector search for embedding-based retrieval combined with knowledge graphs for representing complex entity relationships.

### Flexible deployment: cloud to edge to browser

Run as a cloud service, self-hosted, embedded, or in-browser. Perfect for offline-capable control systems and mobile maintenance apps.

SEE IT IN ACTION

## Detect anomalies in sensor data

Use time-series queries to monitor equipment telemetry and flag deviations before they cause failures.

```
1-- Detect temperature anomalies in the last hour2-- by comparing against the rolling 24h average3LET $avg = (SELECT VALUE math::mean(value)4    FROM reading5    WHERE sensor = sensor:turbine_016    AND timestamp > time::now() - 24h)[0];78SELECT timestamp, value9FROM reading10WHERE sensor = sensor:turbine_0111    AND timestamp > time::now() - 1h12    AND value > $avg * 1.3;
```

USE CASES

## Core use cases for energy and manufacturing

How energy and manufacturing teams apply SurrealDB across operations and infrastructure.

### Predictive maintenance and fault detection

ML models for equipment wear prediction and fault detection, integrated directly in edge-based instances.

### AI-driven energy load forecasting

Optimise renewable generation assets via embedded AI logic and vector search for real-time grid optimisation.

### [Digital twin modelling](https://surrealdb.com/use-cases/digital-twins)

Model production lines, energy assets, and supply networks as living graphs. Combine asset relationships, real-time telemetry, configuration, and engineering documents in one transactional engine, with versioned-record queries for rewinding, replaying, or branching system state.

Learn more

### Supply chain visibility

Native graph engine for supply chain traceability and root-cause analysis in manufacturing.

### Cybersecurity risk modelling

Anomaly detection in energy infrastructure and fraud detection in smart metering systems.

### Time-series and historical analysis

Longitudinal data analysis and compliance audits with historical querying for operational systems and risk assessments.

WHY SURREALDB

## Why decision makers choose SurrealDB

The technical and operational advantages that set SurrealDB apart in industrial settings.

### [Horizontal scalability without sharding](https://surrealdb.com/surrealdb/features)

Scale to petabytes of sensor, operational, and telemetry data without manual sharding across plants and distributed control units.

Learn more

### [OLTP, BaaS, and real-time in one](https://surrealdb.com/surrealdb/features)

Bridge transactional workloads and backend-as-a-service use cases with AI pipelines for real-time inference at the data layer.

Learn more

### [Graph capabilities for intelligent systems](https://surrealdb.com/surrealdb/features)

Complex, multi-relational data modelling for supply chain visibility, cybersecurity risk, and compliance tracing.

Learn more

### [Time-series and historical querying](https://surrealdb.com/surrealdb/features)

Time-series ingestion from IoT sensors, market feeds, and SCADA systems with historical time-travel queries for rollback analysis.

Learn more

### [Low operational overhead](https://surrealdb.com/surrealdb/features)

Minimal operational complexity for both private sector modernisation and public sector digital transformation.

Learn more

FREQUENTLY ASKED QUESTIONS

## Energy and manufacturing

Can SurrealDB handle industrial IoT sensor data?

Does SurrealDB run on edge devices in manufacturing environments?

How does SurrealDB support predictive maintenance?

Can SurrealDB model supply chain and asset relationships?

Does SurrealDB support historical queries for compliance reporting?

Can SurrealDB act as the data backbone for digital twins?

GET STARTED

## Start building with SurrealDB

Telemetry, digital twins, and predictive maintenance in one real-time engine.

![Samsung](https://surrealdb.com/assets/static/4c58b81e7b3c9466.C_Hv0eml.svg)![NVIDIA](https://surrealdb.com/assets/static/nvidia.DaIEuMil.svg)![Apple](https://surrealdb.com/assets/static/f7dc2519e0d212bc.Cn8MYAK7.svg)![Verizon](https://surrealdb.com/assets/static/18b99996c689000f.B5PQ-nI9.svg)![Tencent](https://surrealdb.com/assets/static/401d8346058682c8.DqM87mst.svg)

SOC 2 Type 2

GDPR

Cyber Essentials Plus

ISO 27001

[Start free with SurrealDB](https://studio.surrealdb.com/current/instances/deploy) [View documentation](https://surrealdb.com/docs/surrealdb)

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```

```json
{"@context":"https://schema.org","@type":"FAQPage","mainEntity":[{"@type":"Question","name":"Can SurrealDB handle industrial IoT sensor data?","acceptedAnswer":{"@type":"Answer","text":"Yes. SurrealDB is built in Rust for high-throughput, low-latency ingestion and supports time-series aggregation. It handles continuous streams from factory sensors, smart meters, and SCADA systems with consistent performance at scale."}},{"@type":"Question","name":"Does SurrealDB run on edge devices in manufacturing environments?","acceptedAnswer":{"@type":"Answer","text":"Yes. SurrealDB compiles to a single binary and runs embedded on edge gateways and industrial PCs. It stores and queries data locally for real-time process control, then synchronises with a central instance when connectivity is available."}},{"@type":"Question","name":"How does SurrealDB support predictive maintenance?","acceptedAnswer":{"@type":"Answer","text":"SurrealDB stores equipment telemetry alongside vector embeddings from vibration analysis or thermal imaging. Native vector search identifies similar failure patterns, while graph relationships map dependencies between machines, components, and maintenance histories."}},{"@type":"Question","name":"Can SurrealDB model supply chain and asset relationships?","acceptedAnswer":{"@type":"Answer","text":"Yes. SurrealDB's graph edges model supplier-component-assembly-facility relationships as first-class connections. You can traverse multi-tier supply chains, trace materials through production, and identify single points of failure in a single query."}},{"@type":"Question","name":"Does SurrealDB support historical queries for compliance reporting?","acceptedAnswer":{"@type":"Answer","text":"Yes. SurrealDB's versioned temporal tables let you retrieve data as it existed at any past point. This simplifies regulatory audits, quality investigations, and energy compliance reporting without maintaining separate audit databases."}},{"@type":"Question","name":"Can SurrealDB act as the data backbone for digital twins?","acceptedAnswer":{"@type":"Answer","text":"Yes. A production-grade digital twin needs to model assets and dependencies as a graph, ingest high-frequency telemetry as time series, hold configuration and documents, embed unstructured context as vectors, and answer historical queries about how state has changed. SurrealDB handles all of these natively, in one query language and one transaction. Agent Memory, our memory and knowledge layer, extends the same substrate to the AI agents that increasingly operate inside twins. See /use-cases/digital-twins."}}]}
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