TypeSafe AI provides Jev, a text-based decision model that evaluates application state against developer-defined questions and returns typed choices, scores, or probabilities for software workflows.
Published Oct 15, 2026
| Starting price | Published per-input-token pricing; see vendor for published input/output terms | Published per-input-token pricing; see vendor for published input/output terms | Open-source (Apache-2.0); self-hosting implies compute and operations costs | Published per-character pricing with minimums; see vendor for details |
| Best for | Many bounded text judgments sharing state | Typed text/image decisions | Local zero-shot text classification | Managed NLP, PII, entities, custom classification |
| Key strength | Low published list price and composable decision primitives | Direct image support and documented regional/regulated-data options | Self-hosting and model control | Broader conventional NLP functions |
| Key weakness | Text-only; changing limits; narrow output space | Public beta; higher published base input rate | Buyer manages serving and calibration | Different APIs and cost structure; not an equivalent general judgment interface |
| Deployment | Hosted API | Hosted API | Self-hostable | Managed cloud service |
—
A vendor comparison confirms substantial capability overlap between Jev and OpenAI Decisions. Migration requires adapting request shapes, answer structures, and threshold-dependent application behavior—not simply changing a model name. Identical category selections do not establish identical confidence behavior. (Vendor comparison and product comparison pages)
The category is developing quickly, but no reliable market-share estimate was found. Funding, discussion volume, and unspecified enterprise adoption are not market share. Industry press coverage documents the arrival of competing Decisions APIs and related offerings. (Industry press coverage)