WHAT WE OFFER
Generative AI Development Services
We help organizations adopt Generative AI responsibly, ensuring fairness, transparency, and accountability across the entire AI lifecycle. Our team builds governance frameworks, bias detection protocols, and compliance strategies that align with global standards.
Healthcare
Transformed Medical Research with a Generative AI Chatbot
Markovate engineered a Conversational AI system that leverages advanced LLMs to deliver medically verified information to breast cancer patients. By integrating real-time research data and clinical trial repositories, the chatbot provides reliable, context-aware guidance while maintaining strict compliance with healthcare data standards.
- Reduced query response time by 60%
- Evidence-based responses supported by trusted data sources
- Summarizes lengthy and complex content into clear, actionable insights
- Streamlined information retrieval, improving decision-making
Real Estate
Reduced Inspection Costs and Time by over 28% for Property Inspectors
We harnessed Generative AI to analyze thousands of NVMS property images, automatically detecting visual anomalies with precision. Alongside, we built a Conversational AI chatbot that streamlines customer interactions and improves service efficiency.
- Deep learning and computer vision driven image data extraction
- GPT-based NLP chatbot for enhanced customer experience
- Improved work efficiency by 80%
- Image classification for detecting anomalies
Insurance
Redefined Large-Scale Document Processing for Accurate Insurance Submissions
We developed an Generative AI-powered document data extraction tool that automates data collection and validation for insurance brokers and underwriters, ensuring accurate submissions and enabling faster and more precise underwriting decisions.
- 80% improved accuracy in data extraction and validation
- Identifies missing fields and ensures data consistency
- Scalable for handling high-volume submissions
- Improved underwriting decisions with accurate data insights
Legal
Reimagine Legal Support Driven by in-Depth Legal Research
Our team leveraged Generative AI to fasten legal document analysis and drafting for a medium-sized law firm in Chicago.
- Legal Chatbot Assistant
- Improved Communication Efficiency
- Research Time Reduction by 64%
Manufacturing
Revolutionized ERP System with an AI Agent for Streamlined Order Management
Markovate engineered an ERP AI agent for a major U.S. manufacturer that automates customer order management and inventory workflows, significantly improving order accuracy, real-time visibility, and fulfillment efficiency.
- Automated order placement and real-time tracking
- 95% order accuracy with reduced response times
- Seamless ERP integration for inventory and pricing updates
- Enhanced operational productivity across departments
WHY US
How do we build a Generative AI solution for businesses?
Markovate leverages advanced algorithms and data-driven insights to deliver unparalleled accuracy and relevance. With a keen focus on data security, model architecture, model evaluation, data quality and MLOps management, we can develop highly competitive Generative AI applications for our clients.
We streamline data preparation for businesses, employing advanced techniques to enhance data quality. Our AI engineers collaborate closely with client teams to eliminate noise and inconsistencies, ensuring your data is ready for effective use.
We recognize that data security is as important as the generative AI solutions themselves. Therefore, our AI engineers employ multi-factor authentication and robust encryption techniques to protect our clients’ data. With encryption protocols for data transmission and AES for data retrieval, we ensure seamless and secure handling of client data.
To ensure that the generative AI solutions meet your business needs, we employ rigorous evaluation methods. The techniques we use help us to test the model’s effectiveness across different data subsets, focusing on key performance metrics such as accuracy and precision. We also fine-tune model to ensure optimal performance tailored to your specific requirements.
Our MLOps team specializes in deploying solutions, ensuring the validation of outputs, and effectively reducing data processing costs. They employ a range of tools to continuously conduct cost-impact analyses, helping to optimize the financial efficiency of the solution. Additionally, they focus on maintaining consistent performance, reliability and scalability across different environments.
We help in optimizing large language models to maintain high-quality outputs while managing computational costs. Using techniques like quantization and pruning, we ensure efficient scalability to meet growing demands of the business, all while keeping expenses in check to maximize the ROI.
PROCESS
What is our process for building Generative AI solutions
Data Analysis & Preparation
Before we begin the model development process, we help you with data analysis, cleaning, organizing, preparation and turn it into a format that is suitable for custom Generative AI solutions. This may include normalizing or standardizing numerical data, encoding categorical data, and possibly generating new features through various transformations to enhance model performance.
Data Pipeline
After gathering diverse and relevant datasets for training the generative AI model, we want to ensure data quality and relevance. Our team pre-processes the data and transforms it using data engineering techniques like normalization, feature engineering, and imputation to minimize the data maintenance cost. We then enhance the dataset and implement data versioning to track changes and ensure reproducibility—key aspects of our generative AI development services.
Experimentation
Based on the project requirements and objectives, we choose the appropriate architecture model and neural networks such as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), or Transformer models. Once we select the Gen AI model, we work on model training and fine-tuning using the preprocessed quality data and evaluate it on performance metrics such as accuracy and relevance. The process we follow with our generative AI development services ensures that the selected model aligns with the project’s goals and delivers high-quality AI POC.
Data Evaluation
We rigorously evaluate the quality and relevance of the processed data to confirm its suitability for training. Leveraging advanced data evaluation tools like Guardrails, MLflow, and Langsmith, we conduct thorough assessment and validation processes. Additionally, we implement RAG techniques designed to detect and mitigate hallucinations within the generated outputs. We ensure that the Generative AI model maintains high levels of groundedness and fidelity to the training data, minimizing the risk of producing inaccurate or misleading results.
Deployment
Once we have a trained model ready and any necessary dependencies into a deployable format, we deploy it to the production environment using platforms like TensorFlow, AWS SageMaker, or AzureML. Finally, we implement a monitoring system to track the model performance in production. After the generative AI solution integration, we gather the user feedback and through the feedback loop, we improve the model over time.
Prompt Engineering
Our team defines clear and concise prompts or input specifications for generating desired outputs from the generative AI model. We experiment with different prompt formats and styles to optimize model performance and output quality. And eventually integrate prompts seamlessly into the user interface or application workflow, providing users with intuitive controls and feedback mechanisms.
Data Preparation
Before we begin the Generative AI model development process, we help organizations with data analysis, cleaning, organizing, preparation and turn it into a format that is suitable for custom Generative AI solutions. This may include normalizing or standardizing numerical data, encoding categorical data, and possibly generating new features through various transformations to enhance model performance.
Data Pipeline
After gathering diverse and relevant datasets for training the generative AI model, we want to ensure data quality and relevance. Our team pre-processes the data and transforms it using data engineering techniques like normalization, feature engineering, and imputation to minimize the data maintenance cost. We then enhance the dataset and implement data versioning to track changes and ensure reproducibility—key aspects of our generative AI development services.
Experimentation
Based on the project requirements and objectives, we choose the appropriate architecture model and neural networks such as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), or Transformer models. Once we select the Gen AI model, we work on model training and fine-tuning using the preprocessed quality data and evaluate it on performance metrics such as accuracy and relevance. The process we follow with our generative AI development services ensures that the selected model aligns with the project’s goals and delivers high-quality AI POC.
Data Evaluation
We rigorously evaluate the quality and relevance of the processed data to confirm its suitability for training. Leveraging advanced data evaluation tools like Guardrails, MLflow, and Langsmith, we conduct thorough assessment and validation processes. Additionally, we implement RAG techniques designed to detect and mitigate hallucinations within the generated outputs. We ensure that the Generative AI model maintains high levels of groundedness and fidelity to the training data, minimizing the risk of producing inaccurate or misleading results.
Deployment
Once we have a trained model ready and any necessary dependencies into a deployable format, we deploy it to the production environment using platforms like TensorFlow, AWS SageMaker, or AzureML. Finally, we implement a monitoring system to track the model performance in production. After the generative AI solution integration, we gather the user feedback and through the feedback loop, we improve the model over time.
Prompt Engineering
Our team defines clear and concise prompts or input specifications for generating desired outputs from the generative AI model. We experiment with different prompt formats and styles to optimize model performance and output quality. And eventually integrate prompts seamlessly into the user interface or application workflow, providing users with intuitive controls and feedback mechanisms.
INDUSTRIES
Developing effective Generative AI solutions for every industry
Healthcare AI Solutions
We specialize in crafting tailored AI solutions for healthcare organizations aiming to adopt or enhance AI capabilities. Our expert team develops impactful integrations to advance diagnostics and streamline operations, ensuring each solution meets unique client needs.
Retail AI Solutions
Our AI expertise enables retail businesses to enhance customer experience and optimize inventory management. We develop personalized solutions that improve sales forecasting, customer engagement, and supply chain efficiencies.
Fintech AI Solutions
We deliver bespoke AI solutions to fintech firms seeking innovation in fraud detection, risk assessment, and automated customer service. Our tailored integrations enhance transaction security and operational efficiency, meeting specific industry needs.
SaaS AI Solutions
For SaaS companies, we provide AI-driven enhancements that improve user engagement, automate processes, and boost analytics capabilities. Our custom solutions are designed to integrate seamlessly with existing platforms, enhancing functionality and user experience.
Travel AI Solutions
We create customized AI applications for the travel industry to streamline booking processes, personalize customer experiences, and optimize operational logistics. Our solutions help travel businesses adapt to market changes and enhance traveler satisfaction.
Fitness AI Solutions
We build AI solutions for the fitness industry that personalize workout plans, track performance, and enhance user engagement through interactive applications. Our tailored approaches help fitness providers elevate their service offerings and client results.
Insurance AI Solutions
We help insurers harness AI to streamline claims, enhance customer experiences, and boost fraud detection. Our team builds customized solutions to address key insurance challenges, from underwriting and risk management to predictive analytics and claims automation.
Manufacturing AI Solutions
Our team collaborates with data-driven manufacturers to implement AI solutions at every level of their operations, from predictive maintenance and quality assurance to automated price forecasting and supply chain optimization.
TESTIMONIAL
What our clients say:
“An impactful AI solution for enhanced coding accuracy, claims, and revenue”
“Markovate quickly understood our vision to improve clinical coding accuracy and streamline revenue cycle workflows. Their team delivered a robust, HIPAA compliant AI-powered solution that reduced coding errors, improved claims acceptance rates, and accelerated reimbursement timelines. They operated like an extension of our team—highly responsive, accountable, and solution-driven. The impact on operational efficiency and revenue outcomes was both immediate and measurable.”
“Brought speed and precision to property inspections”
“Thanks to Markovate and their solution, our inspection accuracy has skyrocketed, significantly reducing our operational costs and improving customer satisfaction.”
“Enhanced retail operations with strategic tech guidance”
“As a retail business, finding the right technology partner was crucial. We partnered with Markovate, who expertly guided our product development from concept to launch. Their recommended innovative solutions have significantly enhanced our operations and reduced our costs.”
“Improved accessibility and efficiency in transit services”
“Partnering with Markovate to enhance our paratransit transportation system was a remarkable experience. We are deeply impressed by the precision and effectiveness of their solution.”
“Helped accelerate takeoff and estimation process”
“The automation of blueprint analysis has significantly reduced errors and saved us both time and costs. Markovate’s support and ability to customize the solution to our needs have made them an invaluable partner in our projects.”
“Delivered a seamless mobile app journey - start to scale”
“In every sense, working with Markovate has been amazing. The experience & outcomes were excellent from conception to creation & throughout the evolution phase. We are grateful that we could find Markovate to assist us as our mobile application met our expectations.”
“Added real business value to our product launch”
“Worked with Markovate and Mansi Takyar for our software launch in Canada. She has excellent business sense and truly added value to our product’s success. We highly recommend Markovate.”
“Delivered a smarter, more scalable app experience”
“Worked with Rajeev and Mansi both for Hawaii Revealed app development and launch. Excellent people with a thorough understanding of their business. Experts in providing solutions for scalability and product modernization.”
“Trusted experts in end-to-end digital product creation”
“I recommend Markovate to owners looking to design a new product or planning to develop it. Their team is fully skilled in building mobile applications and web solutions.”
TOOL & TECHNOLOGY
Generative AI development Tech stack we use
Our experts recommend the best technology stack for custom Generative AI development to create cutting-edge solutions.
Leading brands we’ve worked with
Markovate helps ambitious companies turn AI into a competitive edge - making operations faster, smarter, and more resilient. Explore what this could mean for your business.
Discover how we can supercharge your business with AI. Our commitment to delivering tangible results has helped countless companies like yours achieve their goals. See the transformative impact of our AI, Generative AI solutions and imagine the possibilities for your business.
AI-MODELS
Rich expertise across diverse AI models
GPT-5
OpenAI’s most advanced model, delivering state-of-the-art reasoning, coding, and language generation.
Claude 4 Sonnet
Anthropic’s efficient AI model balancing speed, cost, and fluency for conversational and creative tasks.
Claude 4 Opus
Anthropic’s most powerful model for deep reasoning, knowledge tasks, and enterprise AI applications.
LLaMA-4
Meta’s next-generation language model with enhanced scalability and strong performance in NLP tasks.
Mistral 7B
A lightweight, high-performance open model optimized for efficiency and fast text generation.
Cohere Command R+
Cohere’s leading reasoning model, fine-tuned for RAG (retrieval-augmented generation) and enterprise use cases.
DeepSeek-R1
A reasoning-focused AI model designed for coding, math, and logic-intensive tasks.
Google Gemini Flash
Google’s lightweight Gemini family model optimized for speed and multimodal generation.
Whisper V3
OpenAI’s high-accuracy speech-to-text model for transcription and voice applications.
Stable Diffusion
A generative model enabling controlled and customizable image creation & editing.
DALL-E 3
OpenAI’s image generation model creating detailed visuals from natural text prompts.
Phi-2
Microsoft’s small, efficient multimodal AI model advancing text and image generation.
FAQs
Generative AI development services
What makes Markovate the right partner for Generative AI development?
We combine deep AI/ML expertise with hands-on product engineering experience. Our team has built Generative AI solutions across industries like healthcare, insurance, and fintech focusing on measurable business impact, scalability, and responsible AI deployment.
Do you build fully custom Generative AI solutions or integrate existing models?
Both. We fine-tune and integrate leading LLMs like GPT, Claude, and Llama for domain-specific needs, or develop fully custom Generative AI systems when proprietary data and control are essential. Our goal is always to align with your infrastructure, security, and performance requirements.
What is your typical engagement process for Generative AI projects?
We start with a discovery and strategy phase to define use cases and success metrics, followed by model design, integration, and validation. You get an initial proof-of-concept in 4–6 weeks, then we scale based on business results and ROI alignment.
How do you ensure data security, compliance, and IP protection?
Every Generative AI project follows strict data governance, encryption, and privacy protocols. We ensure compliance with GDPR, HIPAA, and SOC 2 where required. All models and code built for your project remain your intellectual property.
OUR BLOGS
Point of view
Our thought leadership initiative – an exclusive platform for sharing our insights and technological perspectives.
How Poor Engineering Drawing Revision Control Delays Manufacturing
Engineering drawing revisions are unavoidable — but production delays from them are not. In heavy manufacturing environments, engineering drawings rarely remain static. As designs evolve, materials change, tolerances are refined, and project requirements shift,...
Manufacturing Cost Estimation: Why Drawing and BOM Accuracy Matter
A few months ago, a heavy-industry contractor approached us with an urgent request. They had received a multi-million-dollar project opportunity and needed to turn around a budget estimate quickly. The drawings were ready. The deadline wasn’t flexible. What they...
Types of BOM in Heavy Industries: Understanding EBOM, MBOM, & More
In heavy industries such as construction, energy, aerospace, and industrial equipment, projects depend on accurate material and component data. A Bill of Materials (BOM) defines what needs to be built, procured, assembled, and maintained. But not all BOMs serve the...
How to Reduce Engineering Change Order (ECO) Backlogs with AI Blueprint Intelligence
In aerospace, defense, and complex manufacturing programs, Engineering Change Orders (ECOs) are unavoidable. Designs evolve. Tolerances change. Materials are substituted. Compliance requirements shift. Every revision must be reflected across drawings, BOMs, cost...