Scalez

Conversational AI Platforms for Personalized Expert Advice Experiences

Business Overview

Jan 2019
Date Founded
Active
Operating Status
10
Employees

Today, most online activity takes place in private and group chats, Users feeds are slowly dying and engaging with your audience has become harder. Chatting with your clients directly in their preferred platform changes the game.

Funding Rounds

$3 M

Total Funding
2
No. of Investors

1

Funding Rounds

New wpDataTable

Date Announced

Funding Round

Amount Raised

Investors

January 2020
Seed
$3 M

AI Technology Stack

2
AI Team Size
Horizontal AI
AI Application
AI Description

CHATBOT LOGIC: Retention algorithm predicts users’ response rate on messaging apps and generates different instant messaging content, format and broadcast time for each user. NATURAL LANGUAGE PROGRAMMING: Understanding each individual customer needs, preferences, and desires. PROFILING ALGORITHMS: State of the art proprietary personas clustering created by machine learning of over 1m users’ conversations. REINFORCEMENT LEARNING: Model for matching expert responses to similar clients requests’ with outstanding precision and users satisfaction.

ML Types
Reinforcement Learning
AI Algorithms
BERT, Classification, Clustering
AI Tasks
Recommendation System
AI Tools
Keras, NLTK, SKlearn, Spacy, TensorFlow
Coding
Python
AI Cloud Provider
Amazon Web Services

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Startup Snapshot

Operating Status
Active
AI Team Size
2
Total Funding
$3 Million
Founded
January 2019
Funding Stage
Seed

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