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We Develop Future AI Services.

Unleash your data sources to make accurate and predictable decisions.

Data Delivery & Transformation

Helping organizations unlock the value of their data and build competitive advantage by making distinctive lasting improvements in technology, processes, and capabilities.


Natural language processing and computer vision for next-generation AI

Train your computer vision and natural language processing (NLP) workloads faster with a simplified AI data management infrastructure that keeps your data flowing.

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Endless AI Possibilities.

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Where do you want to integrate AI?

Personal Assistant AI

Voice Conversations, ChatBots,
Task Manager

Health-Tech AI

Recommendation Engine, Next-Step Diagnosis Decision

FinTech AI

Fraud detection, Billing, Debt Collection, Robo-Advisory

Sales AI

Hyper-personalization, Content Generation, Lead Generation

Tech AI

Analytics, Security Systems, Search, NLP and computer vision

Customer Service AI

Social Listening, Call Analytics, Auto-Ticket Management

Deploy AI Platforms.

Solving the previously unsolved.

Unify all your data

AI brings together every data source integrating multiple unique enterprise and extraprise data interfaces — across regions and across businesses.

Build AI models

Run AI models at scale for powerful predictions across the most complex organizations.

Deploy critical AI applications

Run millions of predictions per day with industry specific AI applications to optimize critical processes.

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We get into specifics for wide range of applications.

Train your computer vision and natural language processing (NLP) workloads faster with a simplified AI data management infrastructure that keeps your data flowing.

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IBM Watson

Machine learning allows the models to learn more with less data - the quality of data, rather than quantity, which makes the difference.

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Tensor Flow

Build using open source machine learning framework is one of the most extensively used deep machine learning frameworks.

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Amazon Alex

Build conversational interfaces for applications using voice and text with advanced deep learning capabilities like ASR and NLU.

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Microsoft AI

Intelligent APIs use to infuse vision, speech, language and knowledge capabilities into applications, websites, and bots.

Building AI Platform Smartly.

Solving the previously unsolved.

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AI Systems Architecture

Understand the challenges and key building blocks necessary for developing AI system capabilities.

Data Conditioning

Understand and differentiate the classes of data that result from sensor inputs and data sources. Recognize the vulnerability of an AI system to data bias. Condition the data, turn data into information.

Machine Learning

Categorize the different classes of machine learning algorithms from unsupervised learning and supervised learning to reinforcement learning. Apply machine learning algorithms, turn information into knowledge

Modern Cloud Computing

Architect and Dev-Ops well-matched GPUs and TPU’s with executing machine learning algorithms. Deploy best computing technologies in terms of computation throughputs versus power consumed.

Human Machine Teaming

Classify areas where the application of AI augments the capabilities of humans working together as teams with the machine (or chiefly computer).

Robust & Trustworthy AI

Construct the robustness of the AI system and ascertain the trustworthiness throughout its life cycle. Burning the data and knowledge into insightful practical use-cases.

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Build Your Strategic AI Vision, Project Roadmap and Decision-Making Engine With Us.

Formulate a strategic development plan that serves as the guiding blueprint for the AI designers, developers, testers, and users/customers.

Incorporate Responsible AI from the start of the development cycle, adhering to a set of ethics principles that best match your organization's goals and objectives, plus cultural environment.

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