Enterprise Generative AI Development

We help Enterprises to utilize the potential of Generative AI to build intelligent systems capable of learning, adapting, and evolving. Our team of specialists focuses on providing state-of-the-art Enterprise generative AI development services that are customized to suit your individual business requirements.
Enterprise Generative AI (1)
OUR FEATURED WORK

Our Generative AI-powered projects

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– LegalAlly

Reimagine Legal Support Driven by in-Depth Legal Research

We 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%
– NVMS

Reduced Inspection Times for Property Inspectors

We analyzed a large dataset of NVMS property photos to detect anomalies and built a conversational AI chatbot for efficient customer service.
  • 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
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– Trapeze

Helped Trapeze Group, Revolutionize Mobility with a Paratransit Solution

Using geospatial technology, we supported Trapeze in innovating their existing paratransit transportation system. Our forward-thinking solutions have reduced customer wait times and improved safety features
  • Real-time vehicle tracking
  • Advanced algorithms for efficient route planning
  • In-app communication interfaces
  • Strict adherence to accessibility and privacy laws
– DeVoice

Redefining Restaurant Ordering with a Voice Ordering Solution

We built DeVoice, which is a AI based voice agent designed specifically for restaurants and other businesses, integrating state-of-the-art voice recognition and natural language understanding.
  • State-of-the-art voice recognition
  • Provides natural dialogues and verbal responses
  • Multi language support for diverse customers
  • Dynamic interaction for enhanced engagement
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WHAT WE OFFER

Our enterprise Generative AI development services

We leverage our proficiency in various AI technologies, such as deep learning, machine learning, computer vision, reinforcement learning, and natural language processing.

Generative AI Consulting for Enterprises

We help our clients by consulting them on AI solution that is best suited to their needs. As Generative AI is still evolving there could be many approaches to developing a custom AI-powered solution. That way, AI expert team can help clients understand the most efficient, low cost and low-maintenance solution that is better suited.

Generative AI Development for Enterprises

Once we have defined the client’s problem, we develop a functional Generative AI product or service modeled and trained to give the desired outputs. We use a combination of several technologies including deep learning, probabilistic programming, NLP, and neural networks to train and deploy the AI solution on various platforms.

Generative AI Model Replication for Enterprises

We build Generative AI products which are scalable and deployable easily on multiple devices. We use AWS and Microsoft Azure to easily deploy AI models. Our AI engineers has experience in containerization technology such as Docker or Kubernetes which allows them to easy deploy Generative AI-powered products on different platforms and devices.

Generative AI Support for Enterprises

We provide Generative AI product maintenance and support service. Our main goal is to always maintain high-quality content and ensure the AI model function effectively. We continuously train data and algorithms and make sure algorithms are improved over time as they learn. We also identify and rectify any issues or defects in the generated AI products.
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.
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PROCESS

Our Generative AI development process for enterprises

Our Generative AI developers undertake a meticulous approach to better understand your company’s objectives and how to create an engaging, user-friendly, and smooth Generative AI solutions for your target audience.
Enterprise Generative AI Development process

Define the problem

We need to first understand the problem we want to solve using a Generative ai product. We start with a conversation with our clients and put together their specific requirements to identify the type of content to be generated, their target audience, and content use cases.

Gather Data

Data collection is the next step in the Generative AI process. Using various technologies we first identify the source of data and then collect the data and preprocess it to build the AI model. Examples of sources can be existing product designs, user-generated content, or user-research.

Design the model

Our AI engineers then use appropriate ML and DL algorithms and neural networks to architect the solution model based on the problem.

Train & Evaluate the model

Once the model is designed with the preprocessed data, we train the model, adjust the parameters and evaluate the output for quality and accuracy checks.

Deploy the model

After the model is ready, our team deploy it on existing deployment devices and make sure they are integrated into existing product or service.

Monitor and optimize

Monitoring the generated content, its efficiency, accuracy and optimization is key to the whole process. We continuously monitor the generative ai product and test the outputs and make necessary adjustments to get the desired results.

Define the problem

We need to first understand the problem we want to solve using a Generative AI product. We start with a conversation with our clients and put together their specific requirements to identify the type of content to be generated, their target audience, and content use cases.

Gather Data

Data collection is the next step in the Generative AI process. Using various technologies we first identify the source of data and then collect the data and preprocess it to build the AI model. Examples of sources can be existing product designs, user-generated content, or user-research.

Design the model

Our AI engineers then use appropriate ML and DL algorithms and neural networks to architect the solution model based on the problem.

Train & Evaluate the model

Once the model is designed with the preprocessed data, we train the model, adjust the parameters and evaluate the output for quality and accuracy checks.

Deploy the model

After the model is ready, our team deploy it on existing deployment devices and make sure they are integrated into existing product or service.

Monitor and optimize

Monitoring the generated content, its efficiency, accuracy and optimization is key to the whole process. We continuously monitor the Generative AI product and test the outputs and make necessary adjustments to get the desired results.

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. 

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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.
CORE EXPERTISE

Our expertise in enterprise Generative AI development

Machine Learning

Our developers possess extensive knowledge and experience in various AI development services. They can proficiently implement machine learning concepts such as predictive modeling, NLP, and deep learning to create robust diffusion model-driven solutions that transform textual data into visual data.

Fine Tuning

Fine-tuning Stable Diffusion models on a smaller dataset can tailor them to a specific task, which is commonly referred to as transfer learning. By doing so, computation and data requirements for training a top-notch model for a particular use case can be reduced.

Deep Learning

Our comprehensive knowledge of deep learning models enables us to leverage multi-layered artificial neural networks to model intricate patterns in data. Moreover, we adeptly utilize the Stable Diffusion deep learning architecture specifically designed for NLP tasks to engineer high-performing solutions.

Transfer Learning

Our area of expertise lies in transfer learning, an AI technology that enables the utilization of pre-trained models on comparable tasks, which enhances performance and reduces training time. We possess a profound understanding of how to leverage pre-trained models to address specific issues, resulting in efficient and effective solutions.

Ready to harness the power of Generative AI?
Contact us today to explore limitless possibilities with our expertise.

TOOL & TECHNOLOGY

Technology stack we use to build Generative AI enterprise solutions

Our Generative AI developers recommend the best technology stack to develop digital solutions for Enterprises.
Stability Diffusion tech stack
TESTIMONIAL

What our clients say:

David V.

“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.”

David V.

CEO, CodmanAI

Chris Cook

“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.”

Chris Cook

CEO, NVMS

John D

“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.”

John D

CEO, Aisle 24

Garrett Vandendries

“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.”

Garrett Vandendries

Director & PMO, Trapeze

Andrew B.

“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.”

Andrew B.

CEO, CivilTakeoff

Michael Sedigh

“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.”

Michael Sedigh

CFO, 3M Corporation

David Singh

“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.”

David Singh

VP Strategy and Operations, Kira Talent

George Thompson

“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.”

George Thompson

Sr. VP, Hawaii Revealed

Lucie Lalumiere

“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.”

Lucie Lalumiere

President & CEO, Interactive Ontario

FAQs

About enterprise Generative AI development

How will Generative AI integrate with our existing Enterprise systems and workflows?

Generative AI integrates with existing systems and workflows by leveraging APIs and middleware for seamless data exchange. It complements current processes through machine learning and automation, enhancing efficiency without disrupting established operations. This allows Generative AI to provide insights and augment decision-making while fitting into the existing technological ecosystem.

What approach do you use for model validation, testing, and performance evaluation?

We employ cross-validation methods and metrics such as accuracy, precision, recall, and F1-score to rigorously validate and test models, ensuring robust performance.

What regulatory and compliance considerations do you address for Enterprise Generative AI projects?

We ensure compliance with relevant regulations and standards, collaborating with legal experts to adhere to GDPR or industry-specific requirements.

Can you provide an estimate of the total costs involved in implementing and maintaining the Enterprise Generative AI solution?

The total costs encompass development, infrastructure, personnel, and ongoing maintenance, varying with project complexity. We provide detailed cost breakdowns during project scoping.

What is the expected Return on Investment (ROI) of implementing AI in Enterpise systems?

The ROI of AI implementation varies per project and includes factors like efficiency gains, cost savings, revenue generation, and improved decision-making. Detailed ROI analysis is provided during project planning.

What is the expected timeline for Enterprise Generative AI development and deployment?

The timeline for Generative AI development and deployment varies depending on the project’s complexity. Typically, it ranges from several months to over a year, including data preparation, model development, testing, and deployment phases.

Are there scalability options to accommodate future business growth or changing requirements?

Yes, we develop solutions are designed with scalability in mind, capable of handling larger datasets and increased demands, allowing adaptation to evolving business needs.
OUR BLOGS

Point of view

Our thought leadership initiative – an exclusive platform for sharing our insights and technological perspectives.

Need help building a Generative AI solution for your enterprise? Contact our solutions specialists now!

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