Inference for faster, cheaper & smarter e-commerce agents
Balance peak traffic and steady volume with one API for open and fine-tuned models, serverless and in your own cloud.
- SigLIP so400m
- Qwen3 Reranker 4B
- Qwen3.8 27B
- Your fine-tuned model
- GLM-5.3 Flash
- DeepSeek V4.1 Flash
- Gemma 4 31B
The leading e-commerce companies already run on open models
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shopify.engineeringApr 22, 2026
Flow generation through natural language: An agentic modeling approach
We fine-tuned Qwen3-32B into a tool-calling agent that generates Flow automations from natural language… Now it runs on a model we trained, on infrastructure we own…
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instacart.comNov 21, 2025
Building The Intent Engine: How Instacart is Revamping Query Understanding with LLMs
For the real-time SRL model, we fine-tuned an open-source Llama-3–8B model using LoRA… The system is now live, serving millions of cold-start queries weekly…
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etsy.comJan 16, 2026
How Etsy Uses LLMs to Improve Search Relevance
…we performed supervised fine-tuning (SFT) with a smaller LLM, Qwen 3 VL 4B… we process millions of query-listing pairs daily at a very low cost…
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ebayinc.comJan 17, 2025
Scaling Large Language Models for e-Commerce: The Development of a Llama-Based Customized LLM
…we adapt existing third party models (like Meta’s Llama models) toward the e-commerce domain… relying on third-party models introduces data security risks…
Keep search fast on Black Friday, not your provider’s rate limit
Each job runs on a model sized for it, next to your app. When holiday traffic peaks, you add GPUs to your own cluster instead of waiting on a provider’s quota.
Run a month of catalog and search 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.
- Tag product photos by type, colour and material
$3,500$46 More attributes right - Embed product photos for visual search
$150$120 More products matched first - Rerank search results
$50,000$2,977 Open model more accurate - Turn seller feeds into catalog records
$7,680$727 More values exactly 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.
- 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.
- 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.
Meet the data requirements of your e-commerce customers
| What the rule asks | SIE Serverless | SIE in your cloud |
|---|---|---|
Use shopper data only for the contracted purpose California CCPA, §1798.140A service provider’s contract must prohibit it from “Retaining, using, or disclosing the personal information for any purpose other than for the business purposes specified in the contract”. | Superlinked is a service provider Your contract with us sets the purpose | No service provider Shopper data stays in your cloud |
Move EU shopper data abroad only under the GDPR EU GDPR Article 44A transfer to a third country may take place “only if, subject to the other provisions of this Regulation, the conditions laid down in this Chapter are complied with by the controller and processor”. | US or EU region Requests stay in the region you choose | Inside your network Your cloud account, in your region |
Never train on merchant data Shopify API terms, Oct 2026Apps must “not use any information derived from the Shopify API, Merchant Data, any Merchant Store, the Services, or any aspect or portion thereof (including any anonymous, aggregate, or derived forms of data), to: (i) create, develop, train, fine tune, or improve any machine learning or artificial intelligence systems, models, or technologies, including large language models”, without consent. | Never learns from requests SIE serves fixed weights; a request never changes the model | Learns only what you train You fine-tune only on data you may use |
Explain what drives your rankings EU Digital Services Act, Article 27“Providers of online platforms that use recommender systems shall set out in their terms and conditions, in plain and intelligible language, the main parameters used in their recommender systems”. | You name the model Each request names the open model it uses | You pin every version Rankings change only when you choose |
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