TelIntel 1.5B Model Performance

Measured on the locked TelIntel Standard 1.5B model

TelIntel Standard is evaluated across structured JSON validity, operational-theme detection, intent classification, recurring-theme intelligence, and safe operational persona output.

Validated Output

100%

JSON Validity

Output structure is fully valid.

Core Performance

88.19%

Core Average

Overall core performance score.

Advanced Performance

82.67%

Advanced Average

Recurring-theme and persona capability score.

90.67%

Operational Theme

Excellent90.67%

89.33%

Intent Type

Excellent89.33%

84.00%

Recurring Theme

Very Good84.00%

81.33%

Primary Persona

Very Good81.33%
Measured on the locked TelIntel Standard 1.5B modelPhase 11 / V7.2.3June 2026

Validation Layer

The performance summary is not only about accuracy.

TelIntel is evaluated as an operational intelligence package. The model must return valid structure, classify telecom themes, preserve guardrails, and stay usable across local inference, API, and CSV workflows.

01

Structured Output

JSON-first behavior supports validation and downstream operational workflows.

02

Telecom Taxonomy

Outputs are aligned with telecom CX themes instead of generic service categories.

03

Advanced Context

Recurring themes and personas help explain patterns behind customer feedback.

04

Privacy Guardrail

Identity-related requests are separated into a dedicated privacy route.

Core Intelligence

Core telecom classification fields.

Core outputs focus on turning customer feedback into reliable operational fields for reporting, review, and private workflows.

90.67%

Operational Theme

Classifies telecom-specific operational issue areas.

78.67%

Risk Level

Identifies interactions that may need faster review or escalation.

89.33%

Intent Type

Separates complaints, feedback, requests, inquiries, and privacy intent.

90.67%

CSAT

Maps customer comments into satisfaction signals.

84.00%

TNPS

Supports loyalty and recommendation-signal classification.

94.67%

Agent Performance

Detects agent-related positive, negative, or unknown signals.

89.33%

CES

Identifies effort and friction signals in customer feedback.

Advanced Intelligence

Recurring themes and operational personas.

Advanced outputs extend the model beyond simple classification into recurring issue context and safe operational persona labels.

84.00%

Recurring Theme

Identifies repeated operational patterns when evidence is present.

81.33%

Primary Persona

Assigns safe operational personas without personal profiling.

Validation Notes

Public-facing and review-ready.

01

Performance results show how TelIntel performs across both core telecom classification and advanced CX intelligence fields.

02

TelIntel Standard is the locked 1.5B V7.2.3 model package.

03

The output format is designed to support structured review, CSV/batch processing, local API workflows, and reporting pipelines.

04

Identity-related requests are detected separately so they are not treated as normal customer feedback.

Model Positioning

TelIntel Standard 1.5B.

The performance snapshot represents the locked TelIntel Standard model package prepared for structured product review and licensed toolkit operation.

Current status

Structured output validated. Core and advanced intelligence measured. Access remains controlled by review.

Product Review

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