Custom Model Development

Our ML model engineering services are tailored to custom model development, encompassing every phase of the ML lifecycle including data collection, preparation, training, testing, deployment, and monitoring. By adhering to this comprehensive process, we ensure the model aligns with the client’s unique requirements and delivers the expected performance.

Model Optimization

Our model optimization services aim to maximize the potential of your current machine-learning models. Employing advanced methods like transfer learning, ensembling, and pruning, we refine your models to enhance accuracy and performance, ensuring they align with your desired outcomes.

Model Integration

We specialize in the deployment of machine learning models in production settings, guaranteeing peak performance and smooth incorporation. Whether it’s in the cloud or on-site, we optimize your models for outstanding outcomes. Our objective is to offer effective and trustworthy model integration services, empowering you to fully leverage your models for business success.

Model Maintenance and Monitoring

We provide thorough maintenance and monitoring services for machine learning models, ensuring their consistent optimization for top-notch performance and efficiency. Our team vigilantly tracks model performance and accuracy, conducting retraining as necessary to uphold peak performance levels.

Machine Learning

Our ML engineers showcase a profound grasp of statistical analysis and probability theory, coupled with proficiency in programming languages like Python, R, and Java. This proficiency empowers them to construct dependable ML models and conduct precise performance evaluations.

Model Fine-tuning

Our team of ML engineers possesses the skills to monitor and uphold models, ensuring their peak performance and accuracy. They refine models as required, employing diverse techniques such as hyperparameter tuning, transfer learning, ensembling, and pruning.

Data Engineering

Our data engineers apply their expertise in data processing frameworks like Apache Spark and Hadoop, undertaking essential tasks such as data cleansing, feature extraction, and data visualization to preprocess and analyze data efficiently.

Expertise Across Industries

Our team of ML engineers brings expertise from various sectors, including healthcare, finance, and e-commerce. They utilize their domain knowledge to create bespoke ML models tailored to each business’s distinct requirements, including compliance with regulations.

Cloud Computing

Our developers possess extensive experience in deploying and scaling advanced AI solutions, affording them deep expertise across major cloud computing platforms, such as AWS, Google Cloud, and Microsoft Azure.

Software Engineering

Equipped with an extensive understanding of software engineering principles and practices, including version control, testing, and deployment, our ML engineers guarantee the development of ML models within a controlled environment and subject them to rigorous testing, ensuring the ultimate product attains the utmost quality standards.

Technical Skills

With a proven history of ML model engineering, encompassing model development and deployment across various industries, our engineers possess the essential technical proficiency. This includes expertise in programming languages, machine learning algorithms, data preprocessing, and cloud computing.

Data Security

We employ strong data security procedures to safeguard your sensitive information during the model engineering process. Our stringent measures encompass access control, authorization, and authentication to encrypt, back up, and protect your data, preventing any unauthorized access.

End-to-End Solution Development

Our comprehensive solution development services encompass every stage of the lifecycle: from ideation and development to testing, deployment, and ongoing maintenance. We collaborate closely with our clients to comprehend their needs and business goals, providing enhancement services to ensure that the solution remains aligned with the ever-evolving technology landscape, making it future-proof.

Infrastructure

Our emphasis on infrastructure as a crucial element of ML model engineering has allowed us to establish a top-tier hardware and software foundation. This includes high-performance computing, distributed computing, and extensive data processing capabilities, ensuring support for even the most intricate and challenging ML projects.

AI Models We Have Expertise In

GPT-4

A set of OpenAI models that can solve complex problems with high accuracy, thanks to its advanced reasoning capabilities and broader general knowledge.

LLaMA

LLaMA (Large Language Model Meta AI) is a foundational large language model designed to generate text, have conversations, summarize written material, solve math theorems or predict protein structures.

PaLM 2

The newest extensive language model from Google, stands out in performing intricate reasoning assignments, such as code interpretation, mathematical solutions, categorization, query responses, and translation with proficiency in multiple languages. This model highlights Google’s commitment to responsible AI, surpassing previous capabilities in natural language generation.

Claude

Claude is a large language model (LLM) by Anthropic, trained as a virtual assistant that can be integrated with business workflows. Claude, accessible through both a chat interface and API in Anthropic’s developer console, can perform an extensive range of conversational and text-processing tasks.

GPT-3

A set of OpenAI models capable of performing natural language processing tasks such as text generation, summarization, translation and question answering.

• Davinci
• Curie
• Babbage
• Ada

GPT-3.5

A set of OpenAI models, including the highly capable and cost-effective Gpt-3.5-turbo, that improve on GPT-3 and can generate text or code.

DALL.E

DALL·E by OpenAI generates realistic images and artwork based on text prompts. It can produce images of a specified size, modify pre-existing images and generate variations of user-provided images.

Whisper

Whisper is a general-purpose speech recognition OpenAI model that can perform language identification, speech translation and multilingual speech recognition.

Embeddings

OpenAI’s Embeddings are numerical representations of linguistic units like words and phrases that capture the semantic meaning and relationships between them.

Moderation

Moderation models are machine learning OpenAI models designed to assist in content moderation tasks, such as identifying and removing inappropriate or harmful content from online platforms.

Bard

Google’s Bard, powered by LaMDA, is a text-to-text generative AI chatbot designed to generate human-like responses to natural language prompts, making it capable of engaging in conversations with humans.

Our AI Development Technologies Stack 

Dedicated Development Team

Our developers leverage cutting-edge cognitive technologies to deliver high-quality services and tailored solutions to our clients.

Team Extension

Our team extension model is designed to assist clients seeking to expand their teams with the precise expertise needed for their projects.

Project-based Model

Our project-oriented approach, supported by our team of software development specialists, is dedicated to fostering client collaboration and achieving specific project objectives.