Generative AI Development Services

With deep knowledge of GenAI and a great passion for artificial intelligence technologies, Velvetech helps businesses leverage generative AI for improved operations, decisions, and creativity. We work with key GenAI models like ChatGTP, DALL-E, LLaMA, or Azure Open AI that empower final solutions for maximum efficiency.
OUR FOCUS

Key GenAI Capabilities for Your Business

BPO

BPO and Data Optimization

With generative AI integrated into your software, there are vast opportunities to drive data processing and analysis and optimize business operations.

Employee Assistants

Employee Assistants

To drive the productivity and performance of your employees, GenAI assistants, or copilots, step into the game, supporting your teams in their daily tasks.

Customer Assistants

Customer Assistants

Improve your customer communications and services delivered with the help of GenAI solutions that are designed with customer experience in mind.

Task Automation

Task Automation

Embrace generative AI technologies to eliminate manual work, reduce errors, and automate your routine activities for better operational results.

Data and Business Process Optimization

While modern business operations depend heavily on data and its amount continues to increase, companies that rely on advanced technologies can step up their game. And here generative AI applications come to the rescue.

GenAI algorithms can significantly enhance data processing and analytics capabilities. To achieve this, we train your GenAI solution only with accurate data. It ensures that its subsequent usage is effective and leads to optimized processes.

Business Process Optimization
Employee GenAI Assistants

Employee GenAI Assistants

Many employees dream about an invisible helping hand that would quietly do the humdrum tasks, take care of critical operations, or simply provide tips when needed. For that, companies integrate GenAI into their workers’ arsenal of tech tools.

Velvetech implements GenAI-powered digital assistants that incorporate machine learning, large language models, and other technologies to help client employees quickly access information and support, generate ideas, draft emails or reports, and more.

Customer GenAI Assistants

Generative AI has already shown a huge positive impact on customer service productivity across various industries. It has much more capacity than all the previous technologies, supporting customers with solutions in a human-like manner.

Through the assistance to both agents and customers, GenAI shapes more nimble and data-driven customer service. Our solutions will help you resolve tickets faster, boost agent creativity and proficiency, and drive a more personalized customer experience.

Customer GenAI Assistants
RPA and Task Automation

RPA and Task Automation

If you feel your team is drowning in routine tasks, it’s time to consider GenAI solutions. They augment AI and RPA with advanced cognitive abilities, enabling you to manage more complex business scenarios and free up precious time.

Implementing generative AI platforms is a powerful way to speed up tasks by automating repetitive mundane activities. It can be everything from predictive maintenance and compliance monitoring to patient management and property valuation.

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WHAT WE OFFER

Address Your Needs with Our Generative AI Services

GenAI Consulting

Our team of GenAI consultants is here to support the strategic transformation of your business or simply find the right solution for your core operations.

GenAI Development

As a generative AI development company, we build a wide range of custom GenAI solutions based on the client’s requirements and a chosen foundational model.

AI Models Design & Training

We’ll help you build and train your own AI model on a thoroughly prepared and cleaned set of data for future precise predictions and decisions.

GenAI Integration

We help companies integrate generative AI solutions with the rest of their IT infrastructure, whether it is custom-built tools or off-the-shelf products.

Data Management

With broad experience in delivering data management software, we leverage GenAI technologies for effective data processing, modeling, or storing.

Data Analysis and Insights

Boost your decision-making and get tangible insights with automated data analysis and reports empowered with actionable recommendations.

Data Generation & Augmentation

We enhance ML model performance by creating new data or introducing variations to existing datasets used in computer vision, NLP, or speech recognition.

Upgrade and Maintenance

As generative AI technologies constantly evolve, our team will take care of your solution, keeping it up to date and maintaining its high performance.

STAY UP TO DATE WITH US

Choose a Perfect AI Model for Your Project

GPT-4 GPT-4
GPT-3 GPT-3
DALL-E DALL-E
Whisper Whisper
Moderation Moderation
Stable Diffusion Stable Diffusion
LLaMA LLaMA
PaLM 2 PaLM 2
Bard Bard
Embeddings Embeddings
MidJourney MidJourney
Claude Claude
BUSINESS VALUE

Value That Generative Artificial Intelligence Creates

Cost Optimization

Our custom-built generative AI tools allow companies to streamline operations, identify inefficiencies, and build resource allocation strategies — all leading to reduced operational expenses and improved overall cost efficiency.

Enhanced Productivity

Through NLP, ML, and intelligent automation, AI systems handle data analysis, customer interactions, and other repetitive processes, which allows employees to dedicate their time to activities that require a human touch.

Process Automation

By leveraging machine learning algorithms and robotic process automation, AI can analyze and execute tasks across various business processes, from data entry to customer services, ensuring accuracy and efficiency in operations.

Product Improvement

As AI can analyze market trends, customer feedback, and product performance data, you can come up with informed development strategies to meet customer needs more effectively, optimize features, and iterate on designs.

WHAT WE DO

Lead Disruptive Change with Our GenAI Solutions

Virtual Assistants

Virtual Assistants

AI-powered virtual assistants are designed to perform tasks, provide information, and engage in natural language interactions to help both your teams and customers.

Chatbots

Chatbots

Chatbots are great solutions if you want to provide automated responses and assistance in real time on your website, customer portal, or any other communication channel.

NLP Apps

NLP Apps

If your business requirements and scenario are unique, we can build custom applications that will effortlessly comprehend, interpret, and respond to human language.

Predictive Maintenance

Predictive Maintenance

Combine GenAI tools and IoT sensors to prevent equipment failures, optimize maintenance schedules, and minimize downtime in industrial and manufacturing settings.

Personalized Recommendations

Personalized Recommendations

If you offer products or services to customers and want to make their journey more personalized, consider integrating GenAI into your marketing and sales operations.

Document Generation

Document Generation

Whether it is generating emails or reports, translating documents, summarizing content, or extracting information from unstructured data sources, GenAI will help.

Fraud Detection and Prevention

Fraud Detection and Prevention

Incorporating GenAI techniques strengthens fraud detection and helps minimize financial losses, protect sensitive data, and maintain trust among users and customers.

eLearning Solutions

eLearning Solutions

Leverage the development of generative AI systems and platforms meant to facilitate various parts of online learning processes for your employees and customers.

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CHOOSE YOUR SECTOR

Use Cases of Generative AI Across Various Industries

  • Cybersecurity
  • IT & Software Programming
  • Product Development
  • Operations
  • Sales & Marketing
  • Contact Centers
  • Accounting & Finance
  • Legal
  • Human Resources
  • Procurement
  • Physical Space Safety & Security
  • Knowledge Sharing
  • eCommerce and Supply Chain
  • Energy Management
  • Environmental Social, and Corporate Governance (ESG)
OUR EXPERTISE

Areas of GenAI Applications for Your Project

Natural Language Generation

We leverage artificial intelligence to drive natural language generation for producing written or spoken content from structured or unstructured data.

Natural Language Processing

We combine NLP techniques with generative models to enable the delvery of more sophisticated language-based AI systems that process human-like text.

Machine Learning

Depending on the data nature and project requirements, our team chooses the specific machine learning approach to build your generative AI solution.

Deep Learning

We’ll incorporate deep neural networks while working on your GenAI model if it requires an advanced level of complexity and intricate patterns in data.

Advanced AI Algorithms

We understand advanced algorithms like transformer and generative adversarial networks or autoencoders and variational autoencoders to work with GenAI systems.

Computer Vision

GenAI and computer vision have the synergy to advance various visual tasks like image synthesis, anomaly detection, image-to-image translation, and more.

Predictive Analytics

Empower your predictive analytics capabilities by using generative AI to enhance datasets and provide additional context through the generation of synthetic data.

Real-Time Data Generation

Turn to real-time data generation when the demand for dynamically generated content is high or responsiveness to real-time user interactions is crucial.

Robotic Process Automation

We integrate RPA with GenAI to extend the capabilities of automation solutions and enhance the flexibility of automation in various business processes.

Edge Computing

The union of GenAI and edge computing drives the distribution of intelligence across the network, real-time data processing, privacy, and bandwidth efficiency.

OUR APPROACH

Gen AI Process We Follow

1

Analyzing Project Goals

As a first step of GenAI implementation, we define the project scope of work and specific objectives that your generative model should achieve. Clear identification of project goals helps us make subsequent decisions in data collection, model design, and overall strategy.

2

Collecting Data

We ensure datasets are relevant and representative, as the quality and diversity of the data directly impact the performance of the GenAI model. Our team carefully considers the ethical sourcing of data and addresses potential biases to avoid adverse effects on its behavior.

3

Designing and Training Models

In this phase, our GenAI engineers design the architecture and parameters based on the goals and collected data. Then we iteratively train the model so it can learn patterns, relationships, and features and make adjustments to optimize the performance.

4

Testing and Fine-Tuning

Here, we’ll be testing the model to evaluate its performance on validation datasets or in simulated environments. Once that is done, we proceed with fine-tuning until achieving the desired level of accuracy and performance and meeting the project objectives.

5

GenAI Deployment

GenAI model deployment into the operational environment involves integrating it into the target system or application to make it ready for use in real-world scenarios. We pay attention to scalability and addressing potential challenges related to latency and resource usage.

6

Ongoing Maintenance

We provide regular updates and maintenance to keep your model effective and aligned with changing needs and data distributions. For that, our team monitors it in production, resolves any issues, and retrains the model with new data to adapt to evolving patterns.

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WHAT TO CONSIDER

Challenges of GenAI Implementation

Prompt Engineering

Prompt Engineering

Our team understands the importance of crafting precise input instructions and thus formulates prompts that are clear, unambiguous, and capable of guiding the AI model to generate accurate and relevant responses.

Prompt Optimization

Prompt Optimization

Prompt optimization is vital for maximizing the accuracy, coherence, and relevance of generated content, so we fine-tune and iterate on prompts and enhance the performance of generative models to ensure the desired outcomes.

GenAI Cost Optimization

GenAI Cost Optimization

While training large-scale models can be resource-intensive, we try to find the right balance between its complexity and computational costs, using techniques like model pruning, efficient training strategies, and cloud optimization.

Privacy and Confidentiality

Dealing with Privacy and Confidentiality

Generative AI development often involves working with sensitive data, and thus it’s crucial to ensure software compliance with data protection regulations, implement robust encryption methods, and adopt privacy-preserving techniques.

case studies

Predictive Maintenance for a Logistics Company

Velvetech helps a leading logistics company transform its core operations. For that, we’ve implemented an enterprise-level GenAI solution designed with scalability in mind, that enhanced predictive maintenance and optimized operational costs.

case studies

GenAI for Customer Retention

The client is a retail multinational company. Before implementing the solution, our team assessed the existing tech infrastructure and identified its gaps. The project continued with the integration of AI capabilities into the company’s CRM system, which boosted customer retention by 20%.

case studies

Content Personalization for a Tech Startup

The project was centered around improving content personalization and user engagement for a tech startup. For that, Velvetech closely worked with third-party vendors to pilot and implement a generative AI system. As a result of this implementation, user engagement increased by 30%.

case studies

Streamlining Patient Management with GenAI

Comprehensive GenAI vendor analysis for a top healthcare provider to help the company choose the right AI solution and implement it. We’ve successfully integrated an ML-based system to streamline patient management processes.

case studies

Integration of OpenAI for Education Software

Velvetech helps an educational software provider facilitate the teaching and learning processes. Our team has integrated OpenAI into the company’s software, allowing teachers to create individual education plans and personalized tests. This solution aims to streamline assessment and improve student progress.

case studies

Healthcare Insurance Verification

Velvetech’s team helps improve eligibility and coverage estimates through Generative AI implementation. One of the core project’s goals was to automate the calculation of coverage amounts, deductibles, co-payments and co-insurances, claim and reimbursement amounts.

WHY VELVETECH

Always Prioritizing Responsible and Ethical AI

Besides focusing on the efficiency of your end solution, we prioritize fairness, transparency, and respect for fundamental human values. It means that our team ensures that the generative artificial intelligence we implement aligns with ethical principles.

Velvetech dives into the business case of every client and thoroughly inspects project requirements. We know the challenges of various industries and how GenAI can help address them, which makes us a trusted generative AI services provider.

  • GenAI Expertise
  • Timely Delivery
  • Cost-Efficiency
  • Process Transparency
  • Flexible Engagement
  • Security and Privacy
OUR TECH STACK

Technologies We Use

GenAI Assistants

  • GPT-4 (OpenAI)
  • Azure OpenAI
  • DALL-E 2 (OpenAI)
  • LLaMA 2 (Meta)
  • Claude 2

Integrated Cloud AI Services

  • Amazon Bedrock
  • AWS HealthScribe
  • Azure AI Services
  • Azure Bot Service
  • Azure AI Document Intelligence
  • Azure AI Content Safety
  • Azure AI Language

DL Frameworks

  • TensorFlow
  • PyTorch
  • Keras
  • Caffe
  • GTheano
  • MXNet

Modules / Toolkits

  • Core ML
  • Kurento
  • Microsoft Cognitive Toolkit

Libraries

  • Neuroph
  • TensorFlow
  • GPT
  • PIL
  • GANLib

Models

  • Generative Adversarial Networks (GANs)
  • Variational Autoencoders (VAEs)
  • Transformer Models
  • Auto-Regressive Models
  • Deep Belief Networks (DBNs)
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Long Short-Term Memory Networks (LSTMs)
  • Diffusion Models

Neural Networks

  • Convolutional Neural Networks
  • Variational Autoencoders
  • Recurrent Neural Networks
  • Generative Adversarial Networks

What Our Clients Say

Velvetech was recommended to us by a friend who had worked with them in the past. Wow did we get lucky! Since 2005, Velvetech has been solid as a rock for us in our various product launches, maintenance, and enhancements. Yuri and Velvetech have played a critical role in the success of our business, and we are thankful each day that we chose the right path!

Greg Gorman
Greg GormanESGI, LLC

We didn’t have the resources in-house to accelerate our opportunities, and we would still not be to market if we hadn’t gone to a very capable outside contractor to help to accelerate our process. Velvetech were very articulate, polite and professional. We’re very pleased with our working relationship with Velvetech and hope they can be part of our operation into the foreseeable future.

Gerald Bedwell
Gerald BedwellIncreMedical, LLC

Velvetech is a professional and trusted partner able to address our custom application development and support needs. Expertise from both a development/coding and infrastructure perspective, mature project management processes and methodology.

Brian HMembership Organization

I would recommend Velvetech services because through the entire process of our project we felt well informed, listened to, and had full confidence in the technical ability of the team. Additionally, we appreciate the responsiveness and value.

Diane Janson
Diane JansonDataGuard USA
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