Get real-time financial intelligence from every transaction and signal.

Liquid's models power agentic workflows that make fraud, customer service, and risk functions more streamlined and reliable. Whether running in your data center, at the edge, or in the cloud, they offer low latency and bank-grade privacy at a fraction of frontier-model costs.

The challenge for financial services

Financial services are practically made for AI solutions. But the data they use isn't.

Financial institutions have a lot to gain from AI adoption, but several issues stand in the way:

• The most critical use cases are stuck in outdated, batch-based systems.

  Fraud, payment, and trading rely on slow workflows that lack real-time intelligence.

• Frontier models are too expensive and complex to scale.

  That's why most financial AI deployments never make it past the pilot stage.

• Compliance and data security limit the uses of cloud-based AI.

  Sensitive PII and transaction data remain locked in legacy and on-prem cores.

Our solutions

Private by default

Because they're hosted entirely on your hardware, Liquid's SLMs are inherently private. When there are no calls to the cloud, there's no public exposure of sensitive data.

Tailored models that span your functions

Instead of an LLM that does everything, you get a series of small models tuned to do one thing exceptionally well. Trained on your data and protocols, running on your infrastructure, they're designed to solve problems reliably, at a fraction of the cost of cloud-based models.

Real-time responses

Smaller, customized models and local processing mean lightning-fast response times. For digital and mobile customers, that responsiveness equals engagement, brand loyalty, and lower churn in the long term.

All of the upsides of true AI integration into financial services, without cloud-based risks.

Liquid's fast, powerful, customized models can supercharge your internal functions—and deliver a best-in-class digital experience to your customers.

Contact sales

Case studies & news

JUN 17, 2025Press

G42 and Liquid AI Partner to Deliver Private, Local and Efficient AI Solutions to Enterprises at Scale](/content/press/g42-and-liquid-ai-partner-to-deliver-private-local-and-efficient-ai-solutions-to-enterprises-at-scale/index.html)

[07.28Models

**LFM2.5-Encoders: Fast at Long Context, Even on CPU**](/content/blog/lfm2-5-encoders/index.html) [JUL 28, 2026Models
**LFM2.5-Encoders: Fast at Long Context, Even on CPU**](/content/blog/lfm2-5-encoders/index.html)

[03.05Models

**No Cloud, No Waiting: Tool-Calling Agents on Consumer Hardware with LFM2-24B-A2B**](/content/blog/no-cloud-tool-calling-agents-consumer-hardware-lfm2-24b-a2b/index.html) [MAR 5, 2026Models
**No Cloud, No Waiting: Tool-Calling Agents on Consumer Hardware with LFM2-24B-A2B**](/content/blog/no-cloud-tool-calling-agents-consumer-hardware-lfm2-24b-a2b/index.html)

[01.26Publications

**Zero-Overhead Introspection for Adaptive Test-Time Compute**](https://openreview.net/forum?id=GqZYGOYuF2) [JAN 26, 2026Publications
**Zero-Overhead Introspection for Adaptive Test-Time Compute**](https://openreview.net/forum?id=GqZYGOYuF2)

[05.14Case study

**Real-Time Speed, Scale, and Precision in Fraud Prevention: +$230M Fraud Detected Annually**](/content/use-cases/real-time-speed-scale-and-precision-in-fraud-prevention-230m-fraud-detected-annually/index.html) [MAY 14, 2026Case study
**Real-Time Speed, Scale, and Precision in Fraud Prevention: +$230M Fraud Detected Annually**](/content/use-cases/real-time-speed-scale-and-precision-in-fraud-prevention-230m-fraud-detected-annually/index.html)