SalesCue β intent
NeuralHawkesIntentPredictor module from the SalesCue sales intelligence library.
Status:
untrainedβ architecture only, random initialization. Use as a starting point for fine-tuning.
Research Contribution
Neural Hawkes Process for Buying Journey
Models the prospect's buying journey as a marked temporal point process where each signal (event) has a type (mark) and arrival time. The intensity function of future events depends on the history of past events via a neural Hawkes process. This directly models the self-exciting property of buying behavior: interest begets more interest.
Usage
from salescue import SalesCueModel
model = SalesCueModel.from_pretrained("v9ai/salescue-intent-v1")
result = model.predict("your sales text here")
print(result)
Labels
unawareawareresearchingevaluatingcommittedpurchasing
Architecture
- Backbone:
microsoft/deberta-v3-base(shared encoder, 768-dim) - Head:
NeuralHawkesIntentPredictor - Parameters: head only (backbone loaded separately)
Intended Use
- Primary: B2B sales intelligence β lead scoring, email analysis, conversation insights
- Users: Sales teams, RevOps, GTM engineers building sales automation
- Input: English sales text (emails, call transcripts, prospect communications)
Limitations
- Untrained weights: This release contains the architecture only. Weights are randomly initialized and must be fine-tuned on domain-specific data before production use.
- English only: Designed for English sales text. Performance on other languages is untested.
- Domain-specific: Optimized for B2B sales communications. May not generalize to other text domains.
- Shared backbone: Requires
microsoft/deberta-v3-baseloaded via the SalesCue library.
About SalesCue
SalesCue is a sales intelligence library with 12 ML modules sharing a single DeBERTa-v3-base encoder backbone. Modules can be composed via Unix-style piping:
from salescue import Document
result = Document("interested in pricing") | ai.score | ai.intent | ai.sentiment
All modules: score intent reply triggers icp objection sentiment spam entities call subject emailgen
See the SalesCue documentation for details.
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Model tree for v9ai/salescue-intent-v1
Base model
microsoft/deberta-v3-base