Artificial Intelligence & Machine Learning Services

Integrate AI into your digital ecosystem without compromising security or governance. Enhance your software's development and testing, as well as the customer experience it promises, by bringing in the artificial intelligence landscape.

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Empower Your Business with Cutting-Edge AI and ML Solutions

Democratize building and modernizing complex software and platforms, even on sophisticated infrastructures like multi-cloud. As an artificial intelligence services company, we help you speed up your deliveries by strategizing automation and analytics in alignment with your KPIs. Leverage our experience with large language models (LLMs), natural language processing (NLP), computer vision, deep learning, and more to help you make a lasting impact on your business offerings. Trust our AI consulting services to help you with industry-specific development strategies, proactive testing and monitoring, and thoughtful security measures.

Challenges We Solve in Your AI Journey

Lack of certified AI engineers with expertise in developing AI and machine learning software and platforms

Lack of cybersecurity expertise to prioritize data protection protocols and privacy regulations while engaging with AI/ML

Managing the integration of existing infrastructure and legacy systems with AI solutions

Our AI and ML Services

AI/ML has a varying scope across different industries. From personalized services to virtual assistance and fraud prevention, it can offer a lot depending on which industry your business caters to.

Artificial Intelligence (AI) Consulting Services

Our AI Consulting services help you leverage AI to realize complex business visions by offering enhanced automation, improved decision-making, and sustainable innovation. We help you build custom AI solutions with thoughtful, secure and compliant data strategies.  

AI Solution Development Services

We offer comprehensive services that help conceptualize, develop, and deploy tailored AI solutions. By helping you seamlessly integrate tools and technologies into your existing workflows, we help you build solutions that prioritize user-centricity, emphasize scalability, and ensure reliable performance of the AI models.

AI-based Software Development

Our AI-based software development services help you find comprehensive AI-based tools designed to enhance software development productivity. We offer assistance in exploring AI capabilities along with cloud and DevOps to review your SDLC resources, architect solutions, extracting patterns for critical insights.

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Machine Learning Model Development

Our machine learning model development services encompass the creation of programs capable of discerning patterns or making decisions from unseen datasets. These models, trained with extensive data, leverage algorithms from statistics, calculus, and linear algebra to extract insights critical for favorable business outcomes.

AI System Integration

With AI Integration, we help you harness the power of AI for your existing workflows. Our experts can help you integrate AI to build tailored solutions that augment your service offerings with modern technological innovation. Trust our experts to help you integrate AI seamlessly into your digital ecosystem to enhance productivity and drive sustainable growth.

AI-based Software Testing

By leveraging AI algorithms, we help you automate testing and ensure faster and more accurate identification of quality bugs and security vulnerabilities. Our AI-driven testing expertise helps you continuously improve the testing process to ensure the quality and reliability of your software products.

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AIOps Services

Our AIOps experts help you automate anomaly detection and insights extraction in real-time. Trust us to help you enhance operational efficiency and reliability by leveraging predictive analytics and intelligent incident management.

MLOps Services

With MLOps services our primary goal is to help you streamline the deployment and management of machine learning models in your production environments. This is essential for integrating best practices from DevOps and data engineering and creating a seamless pipeline for model development, testing, deployment, and monitoring.

Predictive Analytics Services

Trust our predictive analytics service to encompass data collection, preprocessing, model development, validation, and deployment, tailored to your unique needs and challenges. With our expertise in data science, analytics, and domain-specific knowledge, we help you confidently make data-driven decisions that drive business success.

Our Industry Solutions

AI/ML has a varying scope across different industries. From personalized services to virtual assistance and fraud prevention, it can offer a lot depending on which industry your business caters to.

Healthcare

  • Medical Imaging Analysis
  • IoMT Platform Engineering
  • Analytics for Patient Care
  • Virtual Health Assistant
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Fintech

  • Fraud Detection and Prevention
  • Credit Scoring and Risk Assessment
  • Compliance Management
  • Wealth Management Advisory
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Retails

  • Inventory Management Automation
  • Smart Promotions Management
  • Customer Segmentation and Personalization
  • Demand Forecasting
  • Visual Search and Recommendation
  • POS Systems Management
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Cybersecurity

  • Cyber Threat Intelligence
  • Phishing Detection and Email Security
  • Security Information and Event Management (SIEM)
  • Authentication and Access Control
  • Intrusion Detection and Prevention
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Our Core Focus Areas

Our artificial intelligence services are curated to improve all aspects of your digital journey, which is why we focus our offerings on the following technologies:

▪ Generative AI

▪ Computer Vision

▪ Predictive Analytics

▪ Deep Learning

▪ Natural Language Processing (NLP)

▪ Large Language Model (LLM)

Our Approach to Data and AI

Step 1

Identify key business objectives, challenges, and pain points that AI can address.

Step 2

Identify and prioritize structured and unstructured data from databases, transactional systems text, images, and more.

Step 3

Cleanse, preprocess, and normalize data to ensure consistency and quality. 

Step 4

Select appropriate AI and machine learning algorithms based on the specific use case and data characteristics.

Step 5

Integrate AI solutions with existing IT infrastructure, applications, and business processes.

Step 6

Deploy AI models into production environments, whether on-premises, cloud-based, or hybrid infrastructure.

Step 7

Optimize AI solutions based on feedback, new data, and evolving business requirements.

Step 8

Foster a culture of collaboration and knowledge sharing within the organization. 

Step 8

Define key performance indicators (KPIs) and metrics to measure the success of AI initiatives.

Featured Case Studies Showcasing Our AI/ML Capabilities

AI/ML Promotions Platform Engineering

The client is a New York-based decision science and data management solutions company that offers insights and intelligent platforms for retail establishments. The company has helped many retail customers by empowering them with actionable customer-centric insights for effective decision-making.

IoMT-Based Healthcare Solution

The client, a leading U.S. based healthcare technology company. They boast skilled teams in robotics, human-centered design, engineering, and software development, driving innovation in healthcare solutions.

AI-Native Platform Engineering

Cigna Texas health insurance company is one of the major providers of health insurance to residents of Texas, offering both HMO and PPO plans, and competes with other leading health insurance companies licensed in Texas

Hear It From Our Clients

Rini Singh
CEO & Co-Founder

Mozzaz has relied on Zymr to be its solid development partner for the past several years. They have helped us build our enterprise Digital Healthcare platform used by premier healthcare organizations worldwide.

John Ayers
EVP Product Management

Zymr took on the challenge to rapidly implement security device models for 50+ enterprise networking products, such as Cisco, F5, Okta, Aruba, Crowdstrike, Checkpoint, etc., for our SIEM solution.

Shyam Maddali
Senior Director of Engineering

We have been working with Zymr to enhance our financial risk assessment platform for the past several years withthe highest quality and agility and manage billions of dollars of payments secure from fraud.

Gary Baldwin
Head of Product
Development

With a career in tech spanning various markets, I've built and advised companies, valuing quality software. Zymr stands out with smart, efficient, and reliable delivery, making them an invaluable extension of my team. Located conveniently in California with development offices in India, they're a top choice for software needs.

Why Zymr is Your Ultimate Partner for AI Innovation?

We bring you the right people, processes, and accelerators to enable your AI progress and help you measure it with clear performance metrics.

We help you design AI solutions that can scale with your growing business and increase data volumes without compromising performance.

Our AI/ML experts help you implement robust data governance practices to ensure data quality, security, and compliance with regulatory standards.

Our key focus areas ensure you leverage essential AI/ML technologies to build and offer state-of-the-art AI solutions.

Frequently Asked Questions

How can AI/ML services help build AI solutions for my company?

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Our AI/ML services can help develop customized AI solutions tailored to your business needs. We help you from initial strategy and planning to deployment and ongoing optimization, ensuring that the solutions are effective and scalable.

What are the key components of an effective AI strategy?

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An effective AI strategy includes understanding business objectives, identifying relevant use cases, acquiring quality datasets, building robust AI models, ensuring ethical considerations, and planning for integration and scalability.

How do machine learning models improve over time?

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Machine learning models improve through continuous learning and training on new data. This process, known as model retraining, helps the models to adapt to changing patterns and improve their accuracy and performance.

 What challenges might we face when integrating AI/ML into our existing systems?

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Challenges include data quality and availability, integration with legacy systems, ensuring data privacy and security, managing the complexity of AI models, and aligning AI outcomes with business objectives.

How can businesses leverage generative AI for content creation?

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Businesses can use generative AI to automate the creation of marketing materials, social media posts, product descriptions, and more, allowing for scalable and personalized content generation while freeing up human resources for higher-level tasks.

Yogesh
Karachiwala

AVP of Software Engineering, Zymr

Seasoned technology leader with a critical focus on complex enterprise and carrier software solutions. A rich heritage in advanced solutions architecture, development, testing, and deployment

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Operations Management and Technology Delivery
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Growth Strategy

Free AI & ML Consultation
with Experts

Have a specific concern bothering you? We're here to offer you a complimentary 2-week AI & ML consultation or a POV engagement.