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Artificial Intelligence

Build ML models that can learn and act autonomously
Artificial Intelligence Services,Artificial Intelligence
We empower your digital applications with human intelligence and decision-making capabilities using AL, ML, NLP & IPA

Artificial Intelligence Services

Artificial Intelligence Services,Artificial Intelligence
Machine Learning (ML)
We build, train, deploy and manage custom machine learning models for businesses that can access data in different formats from multiple locations using open-source programming languages, libraries, and frameworks.
Artificial Intelligence Services,Artificial Intelligence
Natural Language Processing (NLP)
We empower your apps, portals and chatbots with human language interpretation and simulation capabilities by building a structural knowledge base, content categorisation, context extraction and sentimental analysis.
Artificial Intelligence Services,Artificial Intelligence
Computer Vision (CV)
We develop applications that can derive value from images and videos at a scale using deep learning & neural networks for image & face recognition, object detection, object tracking & content-based image retrieval.
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Cognitive Platforms
We design platforms that encompass machine learning, reasoning, natural language processing, dialogue and narrative generation capabilities for data analysis, adaptive user experience, and human-like response to the stimulus.
Artificial Intelligence Services,Artificial Intelligence
Intelligent Process Automation (IPA)
We apply automation across your enterprise’s repetitive, unstructured processes and error-prone manual workforce tasks with the right mix of RPA + OCR + AI virtual agents with a 360-degree auditing mechanism.
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AI Package Implementation
We let you leverage off-the-shelf AI as a Service (AIaaS) like – productised AI platforms (AWS Sagemaker & Azure ML Studio),consumable ML models, speech APIs, vision APIs, OCR, and CV engines to get benefitted from day 1.
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Model Lifecycle Management
We maintain your production ML model’s trustworthiness and accuracy through model maintenance, retraining, diagnostics monitoring & versioning, and facilitate continued rapid iteration even after deployment.
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AI Governance
We establish guardrails to secure AI solutions and the implementation processes starting from protecting data sources, encrypting the transit data, and keeping the model fairness to settingup organization-level policies & workflows.

Pillars of Artificial Intelligence

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Managed

Establish data governance, versioning pipeline management and periodic model validation

Artificial Intelligence Services,Artificial Intelligence

Resilient

Set up accuracy thresholds, automatic alerts, and perform regression test for ML

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Performance

Choose high-perform ance storage & compute infrastructure and apply optimization rules

Artificial Intelligence Services,Artificial Intelligence

Measurable

Decide on benchmarks and measure data volume, errors, model accuracy against it

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Continuous

Learn and evolve by absorbing the pros and limitation of algorithms, datasets & tools

Customer FAQs & Our Responses

Our enterprise wants to explore AI use cases, but we are not sure we have consumable clean data and infrastructure. How can you address this?

Data availability and quality are the foundational steps for any AI project. Hence, we start the AI engagement with a pilot project where we select a quick win use case and then analyze your data sources, formats, and accuracy. Lack of the right infrastructure isn’t a problem for AI projects as we recommend going with on-demand cloud infrastructure that scales dynamically yet at the 30% cost of owning the infrastructure.

We want to embed AI capabilities into our existing application ecosystem rather than developing as a new stand-alone solution. How can you help us achieve it?

We have proven experience in embedding AI into the existing client ecosystem using APIs, microservices and cloud architecture patterns. We let your applications use consumable cloud storage, computing, and network infrastructure. Also, integrate with productized speech APIs, vision APIs, ready-to-use algorithms, ML studios and NLP platforms.

Our AI solution is biased and facing trust & transparency issues. How can you fix it?

Bias can happen at the data level, algorithm level and resource level. We re-evaluate your datasets to make sure to include a wide variety of data then we break down your algorithms by the number of true positives, true negatives, false positives, and false negatives. Afterwards, we cleanse your data, retrain your models with it and establish an AI governance framework that can act as a compliance mechanism and improve the trust & transparency of the AI lifecycle.

We have in-house data scientists to design ML models. Can you act as a data quality partner and also manage MLOps?

We worked as a data management partner earlier and our resources are familiar with working for cross-functional agile pods in a hybrid environment. We can act as an extended data arm to manage your data sources, integrate them, build pipelines, normalize data, and make it ready to feed into your algorithms. Also, we maintain the accuracy of your production models through continuous monitoring and training them with new data.

Artificial Intelligence Maturity Curve

We help you move to the next level using the simple formula

Right Use Case

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Clean Data

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Explaining AI

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Transparency

Level 1 – Awareness

Aware of AI possibilities but lacks implementation or experimentation

Level 2 – Active

AI prototyping with a low hanging data science use case

Level 3 – Operational

AI in production, creating value by optimization and predication

Level 4 – Systematic

AI-enabled fact based business planning & decision making

Level 5 – Transformational

AI models running operations and handling exceptions autonomously

Top 10 Industrial AI Use Cases to Try Out

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Predictive Insights

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Smart Assistants

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Anomoly Detection

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Workforce Optimization

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Dynamic Price & Demand Management

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User Based Personalization

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Supply Chain Optimization

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Knowledge Base Creation

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AI Driven Cybersecurity

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Automated Data Management

Our Technology Stack

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Artificial Intelligence Services,Artificial Intelligence
Artificial Intelligence Services,Artificial Intelligence
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Artificial Intelligence Services,Artificial Intelligence
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Artificial Intelligence Services,Artificial Intelligence
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Why Choose Us?

AI Use Case Co-Creation Partner with Budgets Timelines & Risk

Up to 45% development time reduction using AI-ready technologies

Multiple diverse datasets preparation to train your models

Minimized inefficiencies , errors, and mapping issues in the ML pipelines

Help you achieve ML model accuracy level up to 98%

Creates AI-powered profitable portfolio not a single use case

Get In Touch

Let’s create something awesome together.

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