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Bud Decision Studio
Bud Decision Studio is a cross-platform desktop application and serving system that runs open decision models locally.
Bud Decision Studio runs open decision models directly on your computer to evaluate situations and answer typed questions with calibrated probabilities. You provide inputs like support tickets, logs, or JSON objects, and the system returns answers across six question types in milliseconds. It includes a playground to test decisions, a models page to manage eleven open models, an evaluation tool, and a history log of all past decisions. You can also create reusable templates with version control and train models using local spreadsheets and GPUs. The application is designed for developers and teams needing local, reliable automated decisions without sending data externally.
Bud Decision Studio at a glance
Key features
- Run open decision models locally
- Evaluate situations with calibrated probabilities
- Test decisions in an interactive playground
- Manage models with download, load, and eject controls
- Track decision history and filter past runs
- Create reusable decision templates with versions
- Train models on local spreadsheets using GPUs
- Access built-in API server and SDKs
Use it for
- Triage support tickets and customer emails
- Classify invoices and security workflows
- Evaluate policy topics and guardrails
- Rank agent actions and candidates
Alternatives to Bud Decision Studio
- Bud Ecosystem — Runs open decision models locally behind a Jev-compatible API with no setup.
- NanoJev — It runs parallel decisions and outputs probability distributions without output-token decoding.
- SemIf OpenJev — Extracts direct token probabilities without generating text or running JSON repair loops.
- Simo — Delivers calibrated probabilities and actionable values in milliseconds.
- Laya — It runs typed decisions in a single forward pass over 100+ languages.
- Kev — Provides calibrated probabilities and matches the TypeSafe API.
- Vev — Runs locally on NVIDIA hardware with a fast, Jev-compatible API.
- Decido — Runs locally on CPU while beating published benchmark scores.
- Trail — It connects market data and evidence to make investment judgments traceable and verifiable.
- DeepInfer Studio — Explore AI inference workflows and resource trade-offs without requiring expensive hardware or GPUs.
- Homi — It answers complex audio questions natively with high accuracy.
- Brussle — Calibrates model confidence on your own data and cuts errors.
All Bud Decision Studio alternatives