Custom ML model development

Develop and deploy custom ML models to personalize user experience and uncover business insights.

Our ML experts leverage advanced algorithms such as decision trees, random forest, and regression models and train them on your data to develop custom models and operationalize them for real-world deployment.

NLP solutions

Uncover insights from unstructured text data for automation, personalization, and decision-making.

We use lexicon-based approaches with RNNs and GANs to develop NLP solutions per your needs for tasks including sentiment analysis, machine translation, text generation, speech recognition, and spam detection tools.

Computer vision

Interpret various visual data using AI/ML to enable applications like product inspection and medical image processing.

We integrate computer vision algorithms using techniques like Convolutional Neural Networks (CNNs) to train models for object detection, image classification, facial recognition, video analytics, OCR, and more.

Deep learning solutions

Leverage deep learning architectures to build intelligent systems like sophisticated recommendation engines and automated decision-making.

Our ML developers design neural networks, train models, and fine-tune them using industry-leading frameworks like PyTorch and TensorFlow to ensure exceptional accuracy for complex tasks that demand human-like precision.

GenAI early-mover advantage

As early adopters of generative AI technologies, we help businesses move beyond experimental proofs of concept (PoCs) to deploy production-ready, scalable solutions with real-world impact.

ThoughtMesh GenAI accelerator

Our enterprise-grade foundational framework for Gen AI accelerates AI development with built-in capabilities for everything from dataOps, governance, and security to LLM integration, RAG, and model monitoring.

Data readiness for large-scale AI

Successful AI initiatives rely on high-quality, well-structured data. With our data engineering expertise, we ensure your data is optimized and ready to support large-scale, high-impact AI implementations.

Comprehensive MLOps toolkit

Our MLOps toolkit streamlines the entire machine learning lifecycle–model training, data tagging, cleaning, quality control, and more–ensuring high standards for AI deployment and management.

Azure Data & AI competencies

With specialization in Azure Data and AI, we leverage the latest advancements in AI and data technologies, creating efficient data architectures for seamless model deployments and analytics.

Full spectrum AI/ML

We offer end-to-end AI/ML solutions, from Generative AI and document extraction to computer vision tasks like object detection and counting, delivering precise, domain-specific applications.

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