Signals

data designed by ai-experts

Data Engineered by Data Scientists.

80% of team effort is spent making data AI ready. Let our expert team of Data Scientists create a data solution for your AI and ML goals.

Data Optimized for AI and ML

Advanced feature engineering tailored for model training and agentic systems.

Advanced Data Modeling

Building features that capture complex domain and business interactions.

Identity Reconciliation

Resolve fragmented identities across customer accounts and systems into a unified, comprehensive view.

Modeling Lifecycle

Define consistent data sets for training, validation, and inference pipelines.

data design by ai-experts

Data Engineering by Data Scientists.

Teams often spend 80% or more of their time making data usable. Let our expert team of Data Scientists create a data solution for your AI and ML goals.

Data Specialized for AI/ML

Feature engineering specifically tuned for AI and ML consumption.

Advanced Data Modeling

Derived features that capture complex domain and business interactions.

Identity Reconciliation

Single source-of-truth designs that create a single, coherent identity.

Modeling Lifecycle

Training and inference data patterns for modelling and inference pipelines.

future proof your AI data Foundation

What We Do.

With 200+ Enterprise-grade models deployed to production, our team of expert Data Scientists solves your AI data challenges and turns fragmented, heterogenous data into high-quality inputs for agentic knowledge-base integration and machine learning modeling.

Event Alignment

Reconciling irregular, longitudinal data across separate systems to create a unified timeline of events for your customers, patients, or user base.

Feature Trends and Aggregations

Creating high-value derived features across key business dimensions to track and trend changes - proven to enhance model performance.

Handling Slowly Changing Dimensions

Creating denormalized, historical views of entity changes for enhanced behavioral tracking.

Entity Resolution

Reconciling identifiers across different systems to create a single, consistent source-of-truth that enables unified customer views for agentic context and modeling data sets.

Handling High Cardinality Data

Transforming large and diverse categorical variables into value features for AI and ML system consumption.

Detecting Feature Interactions

Understanding how customer and business attributes interact with one another to boost model performance and enable more context-aware agent behavior.

Text and Sentiment Integration

Converting user input and text content into sentiment and conversational features that reveal deep insights into how users are interacting with your business and products.

Attribute Prioritization

Identifying the most impactful features to optimize model performance while reducing data complexity, model training resources and inference cost.

Frequently Asked Questions

hear what industry leaders say about glorifai

Testimonials

"Ksenija was a key partner at Verizon that architected enterprise-level production data science enabling agile and targeted CRM operations. Our 15+ years of trusting partnership helped the organization achieve industry leading churn and revenue results."

Jeremy McCarty

VP Marketing, Mint Mobile

"…you have created a very impressive production grade ML environment at Verizon and you are by far one of the most advanced IBM clients"

Armand Ruiz

VP of Product - AI Platform, IBM

“I have had the pleasure of working with Ksenija for 20+ years and I can say without hesitation that she is one of the most capable data scientists in the industry."

Stephen Brobst

CTO, Ab Initio

“I had the privilege of working very closely with Ksenija and the KDSS team at Afiniti, where they formed an integral part of my Advanced Analytics organization and together, allowed us to significantly improve our model performance, delivering millions in incremental value."

Julian Lopez-Portillo

CEO and Founder, Senzai

“I was impressed with the data science enterprise level production operation that Ksenija and her team implemented at Verizon, they were years ahead of many other companies that I came across…”

Sivan Metzger

Angel Investor, ex-CEO ParallelM

GlorifAI Signals^™

Data Engineered by Data Scientists.

Data Engineering by Data Scientists.

80%

20%

48%

64%

What We Do.

Frequently Asked Questions

Testimonials

Transform your data into
AI-ready Signal.

GlorifAI Signals™

Data Engineered by Data Scientists.

Data Engineering by Data Scientists.

80%

20%

48%

64%

What We Do.

Frequently Asked Questions

Testimonials

Transform your data intoAI-ready Signal.

GlorifAI Signals^™

Transform your data into
AI-ready Signal.