TwoDelta + Finout

TwoDelta replaces big, generic frontier LLMs with specialized models built for your exact workload, so you pay for the task you're actually running, not for capabilities you never use. It doesn't just monitor your AI spend, it cuts it at the source by changing what model your workload runs on.

Learn more about TwoDelta

PARTNER SOLUTIONS

Slash AI Inference Costs Without Sacrificing Quality

Finout's partnership with TwoDelta brings deep LLM optimization to the workloads driving your AI bill. Most teams default to large, generic models for every task. TwoDelta uses your observability data to identify the high-volume, repetitive workloads behind your AI spend, then builds and serves a fine-tuned open-source alternative tailored to that use case. The result is faster inference at a fraction of the cost, often with better quality, fully managed, with the option to deploy in your own cloud.

PARTNERSHIP OVERVIEW

Why TwoDelta?

Most AI cost tools show you the bill. TwoDelta changes what generates the bill in the first place by swapping oversized generic models for purpose-built specialized ones.

End-to-End Inference Optimization

From use case analysis to base model selection, fine-tuning, optimization, hosting, and serving, TwoDelta handles the entire pipeline so your team doesn't have to.

Lower Cost Per Task, Same or Better Quality

A model trained on your workload runs your task at a fraction of the cost of a frontier API call, because it isn't paying for capabilities your workload never touches. It's faster too, and it does the job without compromising quality.

Open-Source Foundation

TwoDelta starts from off-the-shelf open-source models, removing the lock-in and unpredictable pricing that comes with closed frontier providers.

Fully Managed Serving

TwoDelta deploys, hosts, and serves the optimized model for you, with the analytics, billing, and access controls to run it in production, so there's no infra for your team to own. When data or compliance requires it, we can deploy in your own cloud instead.

Built by a Specialist Research Team

A focused team of researchers in Tel Aviv works directly on the science of model specialization, so customers get production-grade results, not generic templates.

KEY SOLUTIONS

How TwoDelta works with Finout

In Your Traffic

Workload Analysis

TwoDelta uses your observability data to surface the workloads worth optimizing, then analyzes the actual traffic (patterns, prompts, and tasks) that matters for specialization.

For Your Use Case

Model Specialization and Fine-Tuning

Using a methodology designed to generalize across domains, TwoDelta selects the right base model and fine-tunes it to your exact use case.

At the Model Level

Inference Optimization

Beyond fine-tuning, TwoDelta strips out everything the model doesn't need for your workload, producing a smaller, faster, cheaper version that still meets quality targets.

In Your Cloud

Hosting and Serving

TwoDelta runs the optimized model as a complete managed inference service, with the option to host it in your cloud of choice, giving you a finished solution rather than just a model artifact.

Take Control of Your AI Bill

Stop paying frontier prices for generic capabilities you don't use. Start running inference on models built for your workload.

Schedule a demo with TwoDelta

The FinOps platform for cloud and AI spend, with agents that find the savings and act on them, so your team stays lean, and your coverage doesn't.

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