F&BIntel 1.5B Model Performance
Food-service feedback intelligence, measured for buyer evaluation
F&BIntel turns food-service feedback into structured operational intelligence across themes, risk, customer intent, sentiment, confidence, and review-ready JSON output.
Validated Output
100%
JSON Validity
Evaluation outputs are valid JSON in the tested snapshot.
Schema Discipline
100%
Schema Validity
Outputs conform to the expected F&BIntel evaluation schema.
Field-Level Agreement
93.75%
Average Partial Match
Strong field-level agreement across the current evaluation sample.
92.50%
Primary Theme
85.00%
Secondary Theme
90.00%
Risk Level
67.50%
Full Exact Match
Current F&BIntel buyer-evaluation snapshot - Structured output - Controlled pilot access path
Buyer Pilot Evaluation
F&BIntel gives buyers a clear view of food-service intelligence performance.
F&BIntel is structured around the same CXIntel access system used across product layers: public demo examples, controlled buyer pilot, and private toolkit direction.
Structured Output
JSON-first behavior supports review, validation, local workflows, and future API packaging.
Food-Service Taxonomy
Outputs are aligned with F&B operations instead of generic review sentiment only.
Decision-ready Confidence
Confidence labels help teams prioritize which food-service issues need faster review.
Buyer Evaluation Path
F&BIntel follows a controlled buyer evaluation path before full private toolkit access.
Core Intelligence
Food-service classification fields.
Core F&BIntel outputs focus on turning restaurant, QSR, cafe, delivery, and order feedback into structured operational fields.
92.50%
Primary Operational Theme
Identifies the main food-service operational issue in a review or customer comment.
85.00%
Secondary Operational Theme
Preserves secondary signals such as food quality, packaging, service, or order accuracy.
90.00%
Risk Level
Detects operational severity for escalation, review, or management attention.
Evaluation-ready
Intent Type
Separates complaints, feedback, requests, and review-style customer comments.
Evaluation-ready
Sentiment Label
Captures positive, negative, and mixed food-service sentiment.
Reviewed
Confidence
Confidence label behavior is being reviewed before final public benchmark claims.
Pilot Evaluation
Controlled pilot before full package access.
F&BIntel follows the same systematic CXIntel buyer path as TelIntel, giving users a structured way to evaluate the model before full access.
Active
Evaluation Demo
Structured F&BIntel examples are available through the unified CXIntel demo page.
2-day buyer session
Pilot Evaluation
Buyers can evaluate the layer through a controlled 2-day pilot path before full package access.
Buyer path
Private Toolkit
Evaluation can lead into private toolkit discussion using the same CXIntel structure as TelIntel.
Buyer Evaluation Notes
Food-service intelligence, structured for pilot evaluation.
F&BIntel converts restaurant, cafe, QSR, delivery, and food-service feedback into structured operational intelligence.
Buyer evaluation follows the CXIntel pilot system: a controlled 2-day session before full package access.
The model highlights operational themes, service issues, food-quality signals, risk level, customer intent, sentiment, and confidence.
F&BIntel is designed for private toolkit deployment after evaluation, keeping the same CXIntel access structure used across product layers.
Model Positioning
F&BIntel buyer evaluation track.
The F&BIntel performance section shows how food-service feedback becomes structured operational intelligence that can support review, triage, and private toolkit evaluation.
Current status
Structured evaluation is active through the CXIntel buyer path: public examples, controlled pilot access, and private toolkit discussion.
Evaluation Review
Ready to try F&BIntel through a controlled buyer pilot?
Request access to evaluate F&BIntel through the CXIntel pilot path and review how it handles real food-service feedback.