Inference for faster, cheaper & smarter financial agents
Balance capacity and compliance with one API for open and fine-tuned models, serverless and in your own cloud.
- Qwen3 Reranker 4B
- NuNER Zero
- GLiNER PII
- Your fraud model
- GLM-5.3 Flash
- DeepSeek V4.1 Flash
- Gemma 4 31B
The leading financial firms already run on open models
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A-Team InsightApr 28, 2026
Inside Bloomberg’s ASKB Roadmap: the Data Moat Behind the AI
Our products are built on a combination of models. We have some commercial models, some open-weight LLMs, some smaller, custom language models that we build ourselves.
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bridgewater.comJun 30, 2026
Learning to Replicate Expert Judgment in Financial Tasks
We chose Qwen3-235B as the base model… We find this level of accuracy is sufficient for our daily work… a 13.8x reduction in inference costs per task.
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capitalone.comMar 5, 2025
Driving the future of car buying with agentic AI
We developed Chat Concierge leveraging Meta’s open source Llama model as a base, which we customized with our proprietary data to meet our high performance, risk, and governance thresholds.
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paypal-corp.comOct 28, 2025
Building the Future of Commerce with Open Models
…we’re building PayPal’s LLM-powered agentic commerce services with NVIDIA Nemotron™ open models… our ability to directly fine-tune models rather than relying on less efficient prompt engineering approaches.
Keep up with earnings season, not your provider’s rate limit
Each job runs on a model sized for it, next to your app. When filings and calls peak, you add GPUs to your own cluster instead of waiting on a provider’s quota.
Run a month of financial document 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 KYC documents
$5,604$636 More values exactly right - Rerank research for analysts
$12,500$744 Open model more accurate - Tag people and companies in news
$6,160$28 More names tagged right - Redact customer data
$703$145 Less personal data exposed
Tuned on your task, an open model beats the frontier APIs at it
How each result was measured
- 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.
- 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 vendor risk requirements of your financial customers
| What the rule asks | SIE Serverless | SIE in your cloud |
|---|---|---|
Limit what a vendor does with customer data US interagency guidance, Jun 2023Bank contracts “typically prohibit the use and disclosure of banking organization and customer information by a third party and its subcontractors, except as necessary to provide the contracted activities”. | Superlinked is a third party We process requests as your vendor | No third party Superlinked has no access unless you grant it |
Keep data in jurisdictions you accept UK PRA SS2/21, Nov 2024Before outsourcing, “firms should identify whether their data could be processed in any jurisdictions that are outside their risk tolerance”. | US or EU region Requests stay in the region you choose | Inside your network Your cloud account, in your region |
Plan how to leave each provider EU DORA Article 28, from Jan 2025“Financial entities shall identify alternative solutions and develop transition plans enabling them to remove the contracted ICT services and the relevant data from the ICT third-party service provider and to securely and integrally transfer them to alternative providers or reincorporate them in-house.” | Same API in your cloud The same models and calls move in-house | Free to self-host Apache 2.0 engine, runs without us |
Understand each vendor model you use Federal Reserve SR 26-2, Apr 2026For non-generative models such as rankers and classifiers: “Sound practice includes developing an understanding of the vendor model, including its conceptual soundness, design, development data, and performance.” | Open weights to validate Test the exact model you call | You choose every version Upgrade only after you validate |
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