Plexe
Specialist models that turn inconsistent supplier data into decisions you can build on. Each one is trained against a written definition and measured on data it has never seen. We are starting with travel.
200 hotels none of the models had seen, one written definition of a room. GPT-5.5 and GPT-6.1 match mlr-1's F1 at 17+ seconds a hotel.
| Model | F1 | Purity | Completeness | Seconds per hotel |
|---|---|---|---|---|
| GPT-5.5 | 94.1 | 92.1 | 96.2 | 44.0 |
| GPT-6.1 | 93.6 | 91.3 | 96.0 | 17.3 |
| mlr-1 | 93.0 | 94.2 | 91.9 | 0.26 |
| gpt-oss-120b open | 89.0 | 96.6 | 82.4 | 25.8 |
| JEV (Typesafe) | 86.2 | 92.1 | 80.9 | 0.38 |
| DeepSeek V3.2 open | 68.2 | 58.7 | 81.5 | 4.7 |
| Qwen3 32B open | 59.3 | 51.4 | 70.1 | 3.1 |
| Llama 3.3 70B open | 52.1 | 39.0 | 78.5 | 1.6 |
Hotels drawn at random from our 1,000-hotel blind benchmark. Costs are list token prices; ours is our usage price. JEV was asked one name at a time. 10 Nov 2026.
American Inn by OYO Colorado City I-20, Colorado City, from the benchmark, resolved in 203 ms. Hover a room to see its names.
1 in 5
| Rule engines | Decision model | |
|---|---|---|
| Built | Per supplier, by hand | Once, for every supplier |
| Taught by | Patterns and code tables | A written definition of a room |
| New wording | Breaks | Reads it |
| New customer | Rebuilds the work | Clean rooms from the first call |
Priced per hotel resolved, not per room, supplier or call. Every supplier included.
$0.20 per 1,000 hotels
Custom
A hotel is one hotel's rooms from all its suppliers, resolved once. Prices exclude taxes.
Travel inventory reaches you from dozens of suppliers, each describing the same hotel, room and photo in its own way. Our first models resolve that, behind one API.
Groups every supplier's offers for a hotel by room, and those rooms into room types. Reads names as suppliers write them, with any beds, views and features they send.
Try it on a real hotel →An image search model for travel content. Details on release.
Resolves each supplier's hotel record to one property, from its name, address and location.