Reimagine Legal Support Driven by in-Depth Legal Research
- Legal Chatbot Assistant
- Improved Communication Efficiency
- Research Time Reduction by 64%
Reduced Inspection Times for Property Inspectors
- 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
Helped Trapeze Group, Revolutionize Mobility with a Paratransit Solution
- Real-time vehicle tracking
- Advanced algorithms for efficient route planning
- In-app communication interfaces
- Strict adherence to accessibility and privacy laws
Redefining Restaurant Ordering with a Voice Ordering Solution
- State-of-the-art voice recognition
- Provides natural dialogues and verbal responses
- Multi language support for diverse customers
- Dynamic interaction for enhanced engagement
Our enterprise Generative AI development services
Rich expertise across diverse AI models
GPT-5
Claude 4 Sonnet
Claude 4 Opus
LLaMA-4
Mistral 7B
Cohere Command R+
DeepSeek-R1
Google Gemini Flash
Whisper V3
Stable Diffusion
DALL-E 3
Phi-2
Our Generative AI development process for enterprises
Define the problem
Gather Data
Design the model
Train & Evaluate the model
Deploy the model
Monitor and optimize
Define the problem
Gather Data
Design the model
Train & Evaluate the model
Deploy the model
Monitor and optimize
Leading brands we’ve worked with
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.
Technology stack we use to build Generative AI enterprise solutions
What our clients say
See how businesses are using our AI solutions to make better decisions with measurable impact.
Within 3 months of working with Markovate, we reduced manual clinical coding work by 65%. We’re pleased with the AI agents supporting our workflows.
Markovate’s AI platform helped improve our property inspection accuracy and reduce operational costs by 86%, helping us deliver a better customer experience.
Markovate’s AI Blueprint Classifier can process more than 150 drawings in a single pass, helping us prepare takeoffs and estimates faster.
Markovate helped us automate 95% of our paratransit workflows. We’ve been impressed by their team and the effectiveness of their solution.
We worked with Markovate to build a financial tool for our business and clientele. The experience and results have exceeded our expectations. Markovate's team is great to have on your side if you need an experienced technology partner.
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.
Markovate’s legal AI assistant has reduced our argument preparation time by 78%. It supports our research and is used daily by our legal team.
Markovate built an AI workflow for investor presentations. With minor edits, we can now prepare presentations in 3 hours instead of several days.
Markovate’s AI solution helps us find information across support mailboxes and SharePoint, update FAQs, and maintain consistent customer responses. Within a few months, our overall work efficiency increased by 69%.
Markovate's AI Blueprint Classifier helped us significantly accelerate our quotations, cost estimations, and timeline planning. The automation and accuracy it brought to our blueprint analysis have been a major value-add to our pre-production process.
The AI Interview Agent has improved our hiring efficiency by 80% through natural conversations and automated scoring. Candidates can complete interviews anytime, giving our team greater screening flexibility.
DeVoice helps us manage customer support workflows and answer customer queries. Since implementation, we’ve seen a 54% increase in positive reviews.
For our live interviewing platform, we have worked with Markovate on building the infrastructure and roadmap planning. They have advised us on great solutions, and we highly recommend their team.
We worked with both Rajeev and Mansi on Hawaii Revealed app development and launch. Excellent people with a thorough understanding of their business. They are experts in providing AI solutions for scalability and product modernization.
I would recommend Markovate to businesses looking for a reliable technology partner. Their team combines strong technical skills with a deep understanding of business needs.
About enterprise Generative AI development
How will Generative AI integrate with our existing Enterprise systems and workflows?
What approach do you use for model validation, testing, and performance evaluation?
What regulatory and compliance considerations do you address for Enterprise Generative AI projects?
Can you provide an estimate of the total costs involved in implementing and maintaining the Enterprise Generative AI solution?
What is the expected Return on Investment (ROI) of implementing AI in Enterpise systems?
What is the expected timeline for Enterprise Generative AI development and deployment?
Are there scalability options to accommodate future business growth or changing requirements?
Point of view
On-device LLMs: The Disruptive Shift in AI Deployment
Large Language Models (LLMs) have reshaped how we interact with technology, powering everything from smart search to AI writing assistants. But until now, their power has mostly lived in the cloud. That’s starting to change. On-device LLMs are bringing this...
ERP Automation 2.0: How Generative AI Is Reshaping ERP
ERP automation has powered enterprise operations for decades, but they have struggled to keep up with today’s speed, complexity, and scale. Manual data entry, fragmented workflows, and inaccurate forecasts have long held back their full potential. Now, Generative AI...
Diffusion LLMs (dLLMs): Introducing a New Generation of LLMs
Diffusion LLMs: Introduction In a world where we have relied on autoregressive models to drive AI, a new approach is quietly gaining momentum- Diffusion Large Language Models (dLLMs or diffusion LLMs). Unlike the models we are used to, which predict text one word at a...
Quantum Computing Applications: Top Industry Use Cases
Quantum computing is no longer a lab experiment — it's entering real business operations. Industries like finance, healthcare, logistics, and manufacturing are already running pilots and seeing measurable results. The global quantum computing market is expected to...