Inference for faster, cheaper & smarter industrial agents
Balance capacity and export control with one API for open and fine-tuned models, serverless and in your own cloud.
- SAM 3
- Tomoro ColQwen3 4B
- NuNER Zero
- Your fine-tuned model
- GLM-5.3 Flash
- DeepSeek V4.1 Flash
- Gemma 4 31B
The leading industrial companies already run on open models
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news.siemens.comJul 26, 2026
Siemens advances self-verifying agentic AI workflows for semiconductor and PCB design
…Siemens is extending these domain-scoped agentic AI workflows with NVIDIA's Nemotron 3 Ultra reasoning model… Nemotron 3 Ultra leads among open models.
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rockwellautomation.comNov 13, 2025
Rockwell Automation to Advance Industrial Intelligence Through Edge-based Generative AI with Nvidia Nemotron
…Rockwell is leveraging the open-source Nemotron-Nano-9B-v2 model and NVIDIA NeMo to deliver an edge-based generative AI capability designed specifically for industrial environments… It supports both edge and air-gapped deployments…
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ReutersMar 10, 2025
Foxconn unveils first large language model
…plans to use the technology to improve manufacturing and supply chain management… the model is based on Meta’s Llama 3.1 architecture.
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lockheedmartin.comNov 4, 2024
Lockheed Martin, Meta Collaborate on Large Language Models for National Security Applications
…AI Factory engineers incorporated Llama into Lockheed Martin’s LMText Navigator… securely and on premises… More than 40,000 Lockheed Martin employees in the United States are already using the capability.
Keep up with every shift, not your provider’s rate limit
Each job runs on a model sized for it, next to your app. When every plant asks at once, you add GPUs to your own cluster instead of waiting on a provider’s quota.
Run a month of quality and maintenance work for 93% less
Task-sized open models do each job for a fraction of a frontier API’s price. Each line is priced from its task page, at an illustrative month’s volume.
- Extract fields from inspection reports and certificates
$5,604$636 More values exactly right - Search manual pages, diagrams included
$5,550$1,000 Right page ranked higher - Find parts in inspection photos
$11,996$50 More objects boxed right - Tag parts and fault codes in work orders
$3,080$14 More names tagged right
Tuned on your task, an open model beats the frontier APIs at it
How each result was measured
- Business questions to chart specs
- Superlinked’s gd-1, August 2026: Gemma 4 31B tuned on generated questions, then scored once on a BI assistant’s 875-question benchmark, counting the answers that return the reference data. GPT-5.6 Sol at maximum reasoning was the strongest API. The training questions came from the benchmark’s own generator, which is the home advantage tuning on your own task gives.
- Contract-clause review
- LexGLUE UNFAIR-ToS: 3,882 Terms of Service clauses labelled by lawyers, none of them among the 5,532 the model was tuned on. F1 on the unfair class; each API at its best setting, with the lawyers’ annotation rulebook in its prompt.
- Possible fraud in bank messages
- BANKING77: 3,076 customer messages to a bank, 240 of them reporting a payment they don’t recognise or a card or phone lost, stolen or compromised, none among the 9,993 the model was tuned on. The share of those reports caught while 95% of the messages flagged are reports, each model’s threshold set on the scored messages; GPT-6 Luna at low effort.
Meet the export and supplier requirements of your industrial customers
| What the rule asks | SIE Serverless | SIE in your cloud |
|---|---|---|
Keep export-controlled data from third parties US ITAR, 22 CFR 120.54Sending or storing technical data is not an export only if it is “Secured using end-to-end encryption” and “The means of decryption are not provided to any third party.” | The model reads plaintext Keep ITAR data in your own cloud | No third party decrypts Runs in your account, even air-gapped |
Use FedRAMP Moderate-equivalent clouds for defence data US DFARS 252.204-7012A contractor using a cloud service provider must ensure it “meets security requirements equivalent to those established by the Government for the Federal Risk and Authorization Management Program (FedRAMP) Moderate baseline”. | Not FedRAMP Moderate For defence data, run SIE in your cloud | Inside your assessed environment Your GovCloud account or your own GPUs |
Secure your supply chain EU NIS2 Directive, Article 21Measures must include “supply chain security, including security-related aspects concerning the relationships between each entity and its direct suppliers or service providers”. | SOC2 Type 2 report For your customers’ supplier reviews | Code and weights to inspect Open source, on versions you pin |
Take reasonable steps to keep trade secrets EU Trade Secrets Directive, 2016Information is a trade secret only if “it has been subject to reasonable steps under the circumstances, by the person lawfully in control of the information, to keep it secret”. | A vendor under contract Your designs reach our servers | Nothing leaves your network Designs never reach a third party |
Start on SIE Serverless, or run it under your control
SIE Serverless
We host the models; you call one API.
- No idle GPUs, pay for what you use
- Fits your stack: SDK, API, CLI, MCP
- Self-host the same open-source engine
- SOC 2 Type 2, US or EU data residency
- Create an account to try Serverless
SIE Cluster
Kubernetes in your own cloud, backed by our engineers.
- Terraform modules for your cloud
- Apache-2.0, same engine as Serverless
- GPU workers scale to zero between jobs
- Separate worker pools for each tenant
Deploy SIE to our AWS account with the superlinked/sie/aws Terraform module. Docs: superlinked.com/docs/deployment.Deploy SIE to our Google Cloud project with the superlinked/sie/google Terraform module. Docs: superlinked.com/docs/deployment.Deploy SIE to our Azure subscription with the superlinked/sie/azure Terraform module. Docs: superlinked.com/docs/deployment.Deploy SIE to our Alibaba Cloud account with the superlinked/sie/alicloud Terraform module. Docs: superlinked.com/docs/deployment. SIE Local
The open-source server on your own machine.
- Runs on your NVIDIA GPU
- One container, no cluster
- Process your data fully offline
- Same SDK and model IDs as Serverless
docker run --gpus all -p 8080:8080 ghcr.io/superlinked/sie-server:latest-cuda12-default Start from your task or your industry
Search and RAG
Documents
Text and LLM apps
- Chat Open LLM, OpenAI-style API
- Coding agents Tool calls for your coding agent
- Structured output Schema-valid JSON
- Classify text Your labels, no training
- Yes/no decisions Automate workflow checks
- Route requests Cheap or strong LLM, per request
- Extract names and dates People, orgs, places
- Knowledge graph Entities and their relations
- Translate text English into many languages