AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Qti.ai Tech Stack and Enterprise Applications

Qti.ai AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Oracle Legacy Oracle OCI AI Infrastructure AI infrastructure AI Development n/a 2023 2023
Qti.ai AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Oracle Legacy Oracle Cloud Infrastructure Vision Image Recognition AI-Powered Application n/a 2023 2023
In 2023, Qti.ai implemented Oracle Cloud Infrastructure Vision to operationalize Image Recognition for brand protection across e-commerce platforms. The implementation addressed detection, documentation, prioritization, and evidence collection workflows that feed takedown and legal processes for independent artists and designers. The technical implementation combined OCI Data Labeling for assembling and annotating training datasets, Oracle Cloud Infrastructure Vision custom models for deep learning based image analysis, and OCI Object Storage for secure, redundant image storage and dataset consolidation. Qti.ai generated labeled infringed image training sets, trained brand specific Vision models once labeling thresholds were met, and deployed those custom models to flag modifications such as cropping, rotation, color inversion, and watermark removal. The deployed models perform probability scoring so that images are automatically sorted by likelihood of infringement prior to human review. Operationally the solution is integrated into Qti.ais automated scanning pipeline that monitors e-commerce listings, pre-sorts high probability infringements for the review team, and preserves evidentiary artifacts for downstream takedown and legal workflows. The deployment scope centers on brand protection functions across client engagements, with direct impact on the image review team and legal/client interfacing functions. Models are implemented per brand to maintain precision in detection and prioritization. Governance and process design explicitly account for the Digital Millennium Copyright Act requirement for human confirmation of infringements, therefore automated Vision outputs are used to accelerate pre-review triage rather than replace legal signoff. After adopting Oracle Cloud Infrastructure Vision and associated OCI AI services Qti.ai reported labeling and review throughput improvements of about 5.5 times faster than before, enabling reallocation of staff time toward client engagement and pursuing legal action against infringers.
Image Recognition AI-Powered Application 2023 2023
Qti.ai Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
GoDaddy Legacy GoDaddy Webmail Collaboration Collaboration n/a 2020 2020
Collaboration Collaboration 2023 2023
Qti.ai CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Tag Management CRM 2020 2020
Qti.ai IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2020 2020
Cloud Storage IaaS 2023 2023
Content Delivery Network IaaS 2020 2020
Domain Name System (DNS) IaaS 2020 2020
Domain Name System (DNS) IaaS 2020 2020
Qti.ai CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Secure Sockets Layer (SSL) CyberSecurity 2020 2020
Secure Sockets Layer (SSL) CyberSecurity 2021 2021

IT Decision Makers and Key Stakeholders at Qti.ai

First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Qti.ai Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Qti.ai IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Qti.ai digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Qti.ai Technographics
Qti.ai is a Professional Services organization based in United States, with around 2000 employees and annual revenues of $340.0 million.
Qti.ai operates a diverse technology stack with applications such as Oracle OCI AI Infrastructure, Oracle Cloud Infrastructure Vision and GoDaddy Webmail, covering areas like AI infrastructure, Image Recognition and Collaboration.
Qti.ai has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Oracle and GoDaddy.
Qti.ai recently adopted applications including Oracle OCI AI Infrastructure in 2023, Oracle Cloud Infrastructure Vision in 2023 and Oracle Cloud Infrastructure Vision in 2023, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Qti.ai’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Qti.ai’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete Qti.ai technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.