Custom AI Solutions Development Company

Transform Your Future with AI Solutions.

Unlock the power of Artificial Intelligence Solutions to revolutionize, anticipate, and pioneer the future.

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AI Development Services for Enterprises, Delivering Innovation On-the-Go!

As a leading Custom AI development services company, we specialize in developing AI solutions tailored to your needs. Our AI expertise spans Knowledge Mining, Speech and Conversational AI, Chatbot development, Computer Vision, Machine Learning, and Generative AI, ensuring innovative, cutting-edge results for your business. Transform your operations with our unparalleled AI capabilities.

Knowledge Mining

Extract insights from vast data repositories for informed decision-making and innovation.

Speech Transcription & Conversational AI

Transform spoken words into text and enable dynamic, natural interactions for enhanced user experiences.

AI Business Process Automation

Streamline business operations and increase efficiency by automating repetitive tasks and workflows.

Computer Vision

Empower systems to interpret and analyze visual data, enabling applications in surveillance, healthcare, and more.

Machine Learning

Enable systems to learn from data, adapt, and improve performance without explicit programming.

AI Chatbot Development

Optimize customer engagement with Custom AI solutions through our AI chatbot development expertise.

AI Software Development

Streamline operations with our cutting-edge AI software development solutions for enhanced efficiency.

Custom Generative AI Solutions

Unlock innovation with bespoke Generative AI development, tailored to your unique business needs.

Pre-Built AI Solutions

As a leading AI development services company, we provide custom AI solutions to deliver maximum business outcomes across industries
Manufacturing
Financial Services
Healthcare
Retail
Media
Public Sector
Technology
manufacturing-1
  • On-Shelf Availability
  • Fine-Grained Demand Forecasting
  • Computer Vision Foundations
  • Cyber Analytics
  • Digital Twins
  • ESG Performance Analytics
  • Grid-Edge Analytics
  • Managing Recalls with Barcode
  • Traceability
  • Overall Equipment Effectiveness
  • Predictive Maintenance (IoT)
  • Safety Stock
  • Scalable Route Generation
  • Supply Chain Distribution Optimization
  • Survival Analysis & Lifetime value
financial
  • Anti-Money Laundering
  • Compliance: AML & KYC
  • Credit Card Transaction Analysis
  • Customer Entity Resolution
  • Customer Lifetime Value
  • Cyber Analytics
  • ESG Performance Analytics
  • Geospatial Analytics to Identify Fraud
  • Incident Investigation Using Graphistry
  • IOC Matching & Multicloud query federation
  • Merchant Classification
  • Model Risk Management
  • Modern Investment Platform
  • NLP for Customer Service Analytics
health
  • Automated PHI Removal
  • Abstracting Real-World Data for Oncology
  • Biomedical Literature Q&A with LLMs
  • Detecting Adverse Drug Events
  • Digital Pathology Image Analysis
  • Digital Twins
  • Disease Profiling with TCGA
  • ESG Performance Analytics
  • FHIR Interoperability with dB ignite
  • Genome-Wide Association Studies
  • Medicare Risk Adjustment
  • Price Transparency
  • R&D Optimization with Knowledge Graphs
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  • On-Shelf Availability
  • LLMs for Knowledge Base Q&A Agent
  • Fine-Grained Demand Forecasting
  • Computer Vision Foundations
  • Customer Lifetime Value
  • Customer Segmentation
  • Cyber Analytics
  • Fuzzy Item Matching
  • Large Language Models for Retail
  • Multi-Touch Attribution
  • Safety Stock
  • Sales Forecasting & Ad Attribution
  • Scalable Route Generation
  • Subscriber Churn Prediction
media
  • Toxicity Detection in Gaming
  • LLMs for Knowledge Base Q&A Agents
  • Fine-Grained Demand Forecasting
  • Better LLMs with Better Data using Cleanlab Studio
  • Customer Entity Resolution
  • Cyber Analytics
  • ESG Performance Analytics
  • Media Mix Modeling (MMM)
  • Multi-Touch Attribution
  • Real-Time Bidding Optimization
  • Responsible Gaming
  • Sales Forecasting & Ad Attribution
  • Survival Analysis & Lifetime value
  • Video Quality of Experience
public
  • LLMs for Knowledge Base Q&A Agent
  • Automated Record Linking
  • Cyber Analytics
  • Entity Resolution for Public Sector
  • ESG Performance Analytics
  • PHIR Interoperability with dB Ignite
  • HL7v2 Interoperability with Smolder
  • Medicare Risk Adjustment
  • Product Quality Inspection
  • Scalable Route Generation
  • Social Determinants of Health
  • Supply Chain Optimization
  • Survival Analysis & Lifetime Value
  • Threat Detection with DNS
technology (1)
  • LLMs for Knowledge Base Q&A Agents
  • Fine-Grained Demand Forecasting
  • Customer Entity Resolution
  • Cyber Analytics
  • Telco Customer Churn Prediction
  • Telco Network Analytics
  • Threat Detection with DNS

AI Solution Generation Business Value Across Functions

Discover how our artificial intelligence development solutions are yielding results across different industry and domains
FAQs
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Frequently Asked Questions

What advantages can my business gain by integrating artificial intelligence?

Integrating AI into your business operations, especially with the expertise of a custom AI solutions provider like Veraqor, offers numerous advantages, as we have worked with many enterprise clients around the globe.

It enhances decision-making through data-driven insights, automates routine tasks, and personalizes customer experiences for better engagement. Working with an artificial intelligence app development company or an AI software development firm, you can predict trends, strengthen security, and transform your business into a more agile, competitive, and innovative entity.

How do you ensure AI projects stay secure and reliable during development?

As a leading AI solutions company, Veraqor guarantees security and integrity by implementing stringent practices throughout the development lifecycle.

This includes secure coding, regular security audits, and encrypting sensitive data. Our AI developers employ threat modeling to anticipate risks and enforce strict access controls to prevent unauthorized access.

We adhere to the latest industry standards. As a leading AI service provider, we aim to deliver the best custom AI solutions so that the built model is secure from inception to development.

How does outsourcing to AI companies work, especially for custom AI solutions?

Outsourcing to an AI solutions provider involves collaborating with experts who specialize in developing custom AI solutions tailored to your business needs. These can be cloud, AI, and data experts with experience and knowledge of various stacks.

The process starts with understanding your objectives, followed by a tailored proposal from our custom AI development company. A dedicated team of AI developers then creates, tests, and refines the AI solution, keeping you informed through regular updates.

Once validated, our artificial intelligence services company assists with deployment and provides ongoing support for long-term success.

What's the difference between AI and machine learning models?

AI encompasses a broad range of technologies aimed at mimicking human intelligence, while machine learning (ML) is a subset focused on enabling systems to learn from data.

In custom AI software development, all ML models are part of AI, but not all AI relies on machine learning. ML models learn and improve over time using data, whereas other AI techniques might use predefined rules to perform tasks and arrive at conclusions.

What do artificial intelligence companies do?

A custom AI solutions company like Veraqor specializes in developing and implementing AI technologies that address specific business challenges. An AI service provider generally specializes in various use cases across industries.

As a custom AI services provider, we offer custom AI development, consulting, machine learning model creation, and natural language processing.

Our artificial intelligence app development company helps businesses automate processes, enhance decision-making, and create personalized customer experiences. We also provide continuous support and explore new AI advancements to deliver cutting-edge solutions.

Why is an AI solution built?

The purpose of developing a custom AI solution is to solve specific business challenges by leveraging artificial intelligence. Custom AI solutions are designed to automate tasks, analyze data for insights, predict outcomes, and enhance decision-making processes.

As a trusted custom AI software development company, we aim to improve efficiency, reduce costs, and drive innovation, fundamentally transforming how businesses operate and interact with their customers.

What are the most common roles in an AI team?

A typical AI team within an AI service provider company includes:

  • Data Scientist: Analyzes data and fine-tunes algorithms and ensures data is effectively used as needed.
  • Machine Learning Engineer: Builds and deploys machine learning models for various training phases.
  • UX/UI Designer: Creates user-friendly interfaces for AI applications and makes sure all interfaces align with the requirements.
  • AI Researcher: Explores advanced AI techniques and innovations for a said business use case in the industry, usually for attaining efficient outcomes.
  • Data Engineer: Manages the data pipeline, ensuring high-quality data, data cleansing, and data preparation for AI enablement.
  • AI Product Manager: Oversees project development and aligns it with business goals, and all the sprints and deadlines are effective.
  • Software Developer: Integrates AI models into applications—works on actual development using the designated stack.
  • AI Ethicist: Ensures ethical development and deployment of AI solutions—it's generally a nascent idea but gaining popularity.

What industries can benefit from AI development services?

As a custom AI services provider, Veraqor caters to a wide range of industries, including:

  • Healthcare: Enhancing diagnostics, treatment planning, and patient monitoring.
  • Finance: Improving fraud detection, risk management, and personalized services.
  • Retail: Driving personalized experiences, inventory management, and demand forecasting.
  • Manufacturing: Optimizing production, predictive maintenance, and quality control.
  • Logistics: Enhancing route optimization and inventory management.
  • Telecommunications: Powering network optimization and customer support automation.
  • Automotive: Advancing autonomous driving and vehicle safety.
  • Energy: Assisting with grid management and energy optimization.

How long does it take to develop an AI solution?

The time it takes to develop AI software depends on how complex it is. Simple projects, like straightforward chatbots, might only take a few weeks, but more complex systems can take several months. Our AI developers handle everything from planning and data preparation to building, testing, and launching to make sure the solution fits your needs.

How do you ensure the quality and accuracy of AI models?

As a seasoned artificial intelligence services company, we ensure the quality and accuracy of AI models through meticulous data preparation, model selection, and continuous testing. We curate data to eliminate biases, optimize models with advanced techniques, and conduct extensive testing.

Regular monitoring and retraining keep the models accurate as new data emerges. Collaboration with domain experts ensures our custom AI solutions align with your business objectives.

Can custom AI solutions work with the systems and processes we already have?

Absolutely, custom AI solutions can be seamlessly integrated into your existing systems and workflows. Our AI solutions company connects AI models to current databases and applications via APIs or middleware, ensuring minimal disruption to your processes.

We customize the integration to meet your specific needs, ensuring a smooth and effective implementation.

See How Organizations are Innovating with AI Solutions

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Situation

Howden faced a challenge in their business where generating customer proposals was a time-consuming, labor-intensive process that was also prone to human errors. This process required going through detailed engineering documents that included unstructured text and images of specialized components, which made it difficult to produce accurate bids within a reasonable timeframe.

Solution

Howden implemented Cognitive search technology to address this challenge to optimize their bidding process. This technology enabled them to scour through large volumes of data efficiently and extract relevant information from their engineering documents. Using AI algorithms, Howden could automatically identify key information from these documents and use it to create accurate customer proposals.

Impact​

By implementing this solution, Howden was able to significantly speed up their proposal generation process, which improved their overall productivity and reduced the likelihood of errors. The technology allowed them to access the relevant information they needed quickly and efficiently, enabling them to generate proposals faster and more accurately. This, in turn, helped Howden to serve its customers better and win more business.

Situation

E-commerce customers often struggle to find personalized fashion recommendations online, leading to a less-than-ideal shopping experience. This can result in lost sales and a decline in customer satisfaction.

Solution

To address this challenge, we proposed a solution to modernize the e-commerce customer shopping experience by introducing an AI-powered shopping assistant chatbot. This chatbot uses advanced algorithms to analyze customer preferences and provides real-time personalized fashion recommendations, creating a more engaging and interactive shopping experience for online customers.

Impact​

Through this solution, the e-commerce company boosted online sales by proactively catering to changing customer tastes and identifying trends through the data gathered by the chatbot. Moreover, customers benefited from an improved shopping experience, increasing satisfaction and loyalty. The AI-powered shopping assistant chatbot helped modernize the e-commerce customer shopping experience and created a more personalized and engaging environment for online shoppers.

Situation

Claims management transactions in the National Health Service (NHS) can be time-consuming and inefficient, involving a lot of manual data entry and processing of paper documents. This can lead to delays in processing claims, impacting patient safety and resulting in higher costs for taxpayers.

Solution

To address this challenge, we proposed a solution to modernize claims management transactions by digitizing documents and using AI and machine learning to extract data from those forms. This data can then be used to drive better decision-making for the NHS, improving the efficiency and accuracy of the claims management process.

Impact​

By implementing this solution, the NHS delivered better taxpayer value by reducing the costs associated with claims management and improving the accuracy of claims processing. This also led to better patient outcomes, as claims were processed more quickly and accurately, reducing potential errors or delays that could impact patient safety. The digitization and data-driven claims management approach helped the NHS operate more efficiently and improve performance and efficacy.

Situation

PwC, a leading player in professional services, faced the challenge of advancing its audit approach into the Next Generation Audit (NGA), blending human expertise with cutting-edge technology and data-driven insights. The aim was to enhance audit efficiency and transparency and reduce unnecessary burdens on clients while ensuring compliance with data regulations and maintaining robust security.

Solution

PwC embraced a forward-looking approach by leveraging Microsoft Azure solutions, including Azure OpenAI Service, Azure Cosmos DB, Azure Kubernetes Service, Azure App Service, and the global infrastructure. The implementation created an NGA ecosystem that aligns with PwC’s vision for increased efficiency, transparency, and improved data utilization. The Generative AI capabilities of Azure OpenAI Service became a pivotal element, enabling natural language interfaces for enterprise data and ensuring the future adaptability of assurance services.

Impact​

The NGA ecosystem, powered by Microsoft Azure solutions, including GenAI, positions PwC at the forefront of audit innovation. The integration of Azure OpenAI Service facilitates enhanced data acquisition, utilization, and transparency, reducing unnecessary audit burdens. The robust infrastructure ensures compliance with data regulations and strengthens data security, empowering PwC to deliver a tech-driven, human-led, and data-centric audit experience.

Situation

Enerjisa Ãœretim, a major player in the energy sector, faced the critical challenge of enhancing operational efficiency in an industry where even marginal gains matter significantly. The company embarked on reshaping the energy landscape through a robust digital transformation initiative. Transitioning to a cloud-native ecosystem powered by Microsoft Azure marked the initial step in this transformative journey.

Solution

The solution materialized in the form of a state-of-the-art Remote Operation Centre overseeing the real-time activities of 20 hydropower, wind, and solar plants around the clock. This center leverages advanced AI analytics, providing Enerjisa Üretim with the capability to monitor performance in real-time, forecast production levels, and predict maintenance requirements. 

Impact​

The cloud-native ecosystem, empowered by Microsoft Azure and Generative AI, has had a profound impact on Enerjisa Ãœretim’s operations. The establishment of ROC enabled the company to navigate the complexities of the energy sector with agility and precision. Real-time monitoring, production forecasting, and predictive maintenance have become integral components of their operational strategy, ensuring optimal efficiency. The specialized Security Operation Centre further elevated the company’s resilience.

Situation

PageGroup, dedicated to finding top talent for business growth, faced a challenge in streamlining the administrative-intensive tasks of consultants to maximize efficiency. With a global workforce and diverse operations, the need arose for a centralized platform to enhance innovation and leverage cloud-based technologies, including generative AI, to elevate their service delivery.

Solution

To address these challenges, PageGroup implemented a global enterprise data platform on Microsoft Azure. This solution not only streamlined administrative processes but also laid the foundation for continuous innovation. Leveraging Azure and embracing technologies like OpenAI and Generative AI’s capabilities, PageGroup created a versatile platform that promotes further advancements and ensures the efficient use of cloud-based tools, enhancing their ability to deliver top-notch talent solutions to clients.

Impact​

The implementation of the global enterprise data platform on Microsoft Azure empowered PageGroup to achieve operational efficiency and scalability. With a streamlined workflow, consultants can now focus on high-value tasks, significantly impacting business growth. The incorporation of cloud-based technologies, including generative AI, is already demonstrating tangible business benefits. PageGroup is now well-positioned to navigate the dynamic landscape of talent acquisition, ensuring they continue to deliver exceptional services to clients globally.