behavior and risk prediction
from complex human interactions
using online machine learning
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Solutions

by industry

Products

addressing specific data analytics needs

technology

under the hood

Online
Learns models online while the data flow so that the models are always up-to-date even when the character of the data changes.
Streaming
Works with both streaming and batch data; can utilize stored big data before feeding directly from the source streams.
Scalability
Our systems store data temporarily and can scale horizontally to handle large number of features as well as higher stream speeds.
Supervision Flexibility
Supports unsupervised, semi-supervised and supervised learning. When semi-supervised, your domain experts are presented only with a minimal set of data for labelling.
Human-System Interface
Allows rich and easy interactions with the user via responsive web interface.
Data Types
Works with heterogeneous types of data; text, numbers, time-series, networked-data, features extracted from video etc. all can be fed into out systems.
Optimized Complexity
Employs feature selection algorithms to allow models as simple as possible but not simpler.
Flexible Deployment
Deploys to the cloud as well as on local computing resources; deployment using Docker is possible.
Integration
Integrates with existing data streams, schema, and solutions; TCP connections, REST or Websocket connections, database interfaces and file systems are supported.

About

tazi team

Prof. Dr. Zehra Çataltepe

Co-founder

Dr. Tanju Çataltepe

Co-founder


Kerem Özçakıl

Customer Relations


Nadir Ulubey

Software Engineer


İsmail Kelebek

Software Engineer


Ahmet Çağlar Bayatlı

Software Engineer


Pelin Gümüşlü

Intern
ITU, Computer Engineering


Ozan Ata

Intern
ITU, Computer Engineering


Tarık Korkmaz

Intern
Koç University, Industrial Engineering / Computer Engineering

tazi.ai is a machine learning startup.
The founders have years of machine-learning expertise in academia and industry and the design and operations experience with large scale real-time systems.

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