Services
AI and Data Strategy
Establish strong technical foundations for your AI and data transformation building long-term competitive advantages.
Cloud Engineering
Provide agility without compromising performance using the latest cloud technologies and services.
Data Engineering
Structure and manage data at scale through robust pipelines and lakes, to easily access accurate and useful data.
ML Ops
Integrate models seamlessly into your existing process for real-time performance and scalable workflows.
NAT Studio - AI Testing Automation Tool
AI-Powered QA for the Speed of Innovation
Turn Jira stories into executable test cases, run AI-powered self-healing tests, and get instant coverage insights—all without writing a single line of code.
Technology capabilities
Embrace our API-first strategy for full control of your GenAI projects and avoid vendor lock-in. Customize your AI toolkit to your unique needs.
Mosaic
Hugging Face
PaLM2
Meta
OpenAI
Milvus
Weaviate
Pinecone
Chroma
Databricks
Google Cloud
Azure
AWS
Our AI delivery methodology
01
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description
01
Discovery & Problem Definition
Identify and understand business objectives, key challenges, and areas where AI solutions can provide the most value.
02
Data Collection & Preparation
Gather relevant data from various sources, then clean and preprocess it to ensure high quality and suitability for model development.
03
Model Development & Prototyping
Build, train, and fine-tune AI models using the most appropriate algorithms to create a working prototype that addresses the defined problem.
04
Validation & Testing
Rigorously test the model on validation datasets and evaluate its performance against predefined metrics to ensure accuracy and robustness.
05
Deployment
Deploy the AI model into a production environment by integrating it into existing systems or applications for real-world use.
06
Monitoring & Maintenance
Continuously monitor the AI model’s performance in production, ensuring it remains effective, and retrain it as necessary to handle changing data patterns.
Featured case study
Machine Learning-Based Healthcare Platform
Discover how our machine-learning platform enabled a biotech company to deliver personalized neurobehavioral treatments by mapping neural imaging data to behavioral features.
Case studies
Machine Learning-Based Healthcare Platform
Discover how our machine-learning platform enabled a biotech company to deliver personalized neurobehavioral treatments by mapping neural imaging data to behavioral features.
Bioinformatics pipeline enables analysis of massive genetics datasets
Scalable cloud-based solution enables data scientists to analyze vast amounts of variant genetic data while ensuring accuracy, usability and speed.
