We aim to digitize the “current experience” or to model the “needed experience” in an “industry-agnostic paradigm” by considering the proprietary data as the cornerstone within the frame of AI.
Our Competencies
In line with emmerging trends including Generative AI, model explainability, AIoT and hyper-personalization, we focus on
Transparent AI models with eXplainable outcomes
Models eligible to work with weak supervision
Synthetic data generation
Optimization for edge AI in resource-constrained environments
Pivotable models on multi-modal data
Secure AI architectures
Key Areas of our Expertise
Learning models
Development of supervised and unsupervised learning models.
Data augmentation
Affine or DL-based techniques for AI models to add versatility to the insufficient training data by artificially aggregating new data instances.
Data elimination
Smart techniques for reducing the data captured in excess that may overwhelm the systems.
ML-Ops pipeline
Design, model development and operations, involving data engineering, model engineering, validation, deployment & CI/CD processes.
Our Featured Case Studies
Our AI applications developed in safety and mission critical domains, by our integrated teams of data scientists, ML engineers, MLOps experts and prestigious advisors from academia
AI-Powered Medical Imaging
Deep learning models on high-res data to assist breast radiology workflow for accurate diagnostics.
Predictive Analytics for Optimal Triage
Edge AI models to detect potential cardiopulmonary risks before hospitalization or urgent care admission.
Flexible Network Intrusion Prevention System
Enhanced intrusion detection capability with ML algorithms to handle high volumes of network traffic.
Call-center Dialogue Analysis
Voice differentiation and transcription in a recorded dialogue with a bonus feature of mood analysis.
Personalized Well-Being Experience
Pose estimation on real-time captured data to produce personalized recommendations.
Natural Language Processing for EHR Automation
NLP algorithms to extract meaningful insights from clinical notes and reports.
Our AI Infrastructure
Our tailorable, flexible co-production infrastructure that we developed to produce artificial intelligence models also provides an “operational pipeline”.
Elicitation of “use cases’’
Data curation
Model analysis, training and fine-tuning
External validation
Platform deployment
MLOps cycles for resource and model monitoring
Model security to avoid membership attacks
Case Study
We believe your challenge will lead us to a success story.
Flexible Network Intrusion Prevention System
CYBER SECURITY
MIDAS
ARTIFICIAL INTELLIGENCE
We share our expertise.
AI Support in Breast Cancer Diagnosis
October 31, 2023 | Artificial Intelligence
Artificial Intelligence, The Hesperus of Healthcare
Jul 14, 2021 | Artificial Intelligence
The Room for Artificial Intelligence in Management of IT Operations and Predictive
May 26, 2021 | Artificial Intelligence
Added Value of Artificial Intelligence in Energy Systems Software
Feb 20, 2019 | Artificial Intelligence
Finance
Defense
Telecommunications
Energy
Medical & Healthcare
Mobility