Inference for faster, cheaper & smarter healthcare agents
Balance capacity and patient privacy with one API for open and fine-tuned models, serverless and in your own cloud.
- Qwen3 Reranker 4B
- GLiNER PII
- Qwen3.8 27B
- Your fine-tuned model
- GLM-5.3 Flash
- DeepSeek V4.1 Flash
- Gemma 4 31B
The leading healthcare AI teams already build on open models
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abridge.comJun 11, 2026
Abridge Unveils Patient-Centered Clinician Intelligence Platform Connecting Care Delivery, Payment, and Evidence-Based Treatment
Building on the NVIDIA Nemotron open model family… Nemotron gives Abridge the ability to optimize for quality, cost, and efficiency at every layer…
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r1rcm.comOct 15, 2026
Long-context medical reasoning to reduce denials: post-training NVIDIA Nemotron 3.5 Super VL
…we combine that foundation with Nemotron 3.5 Super VL 120B… Open weights let us adapt the model and optimize how it is served…
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arxiv.orgFeb 1, 2026
MindGuard: Guardrail Classifiers for Multi-Turn Mental Health Support
We release all models and human evaluation data… We finetune our safety classifiers from Qwen3Guard-Gen with 4 and 8 billion parameters…
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npj Digital MedicineApr 2, 2026
Integrating large language models for enhanced predictive analytics in healthcare
Employing the advanced LLaMA architecture… fine-tuned and tested on a dataset of 42,160 patients within Johns Hopkins Health System…
Keep up with Monday morning, not your provider’s rate limit
Each job runs on a model sized for it, next to your app. When every clinic opens at once, you add GPUs to your own cluster instead of waiting on a provider’s quota.
Run a month of clinical document work for 91% 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 referrals and prior authorizations
$9,340$1,060 More values exactly right - Turn visit notes into structured records
$7,680$727 More values exactly right - Rerank clinical guidance for each question
$12,500$744 Open model more accurate - Redact patient data before an LLM reads it
$1,054$218 Less personal data exposed
Tuned on your task, an open model beats the frontier APIs at it
How each result was measured
- 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.
- 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.
Meet the patient data requirements of your healthcare customers
| What the rule asks | SIE Serverless | SIE in your cloud |
|---|---|---|
Sign a business associate agreement first HIPAA, 45 CFR 164.502(e)A covered entity’s assurances “must be documented through a written contract or other written agreement or arrangement with the business associate”. | Superlinked is a third party You decide which data it handles | No business associate Superlinked has no access unless you grant it |
Keep health records in the United States Texas SB 1188, from Jan 2026“A covered entity shall ensure that electronic health records under the control of the entity that contain patient information are physically maintained in the United States or a territory of the United States.” | US region Requests stay in the region you choose | Inside your network Your cloud account, in your region |
Return or destroy patient data at the end HIPAA, 45 CFR 164.504(e)A business associate contract must require it, “At termination of the contract, if feasible, return or destroy all protected health information received from, or created or received by the business associate on behalf of, the covered entity”. | Set in your contract Deletion terms are part of the agreement | Nothing to return Patient data never leaves your cloud |
Keep AI tools open to audit California SB 1120, from Jan 2025For a health plan’s utilization review: “The artificial intelligence, algorithm, or other software tool is open to inspection for audit or compliance reviews by the department”. | Open weights to inspect Test the exact model you call | You pin every version Re-run the model behind any past decision |
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