Our AI copilot development services

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

Leading brands we’ve worked with

Why choose Markovate for AI copilot development




Tech stack we use for AI copilot development

Our collaboration partners




AI copilot development process we follow

Discovery and Requirement Analysis
Design and Planning
Data Collection and Preparation
Model Development and Training
Integration and Testing
Monitoring and Support
Discovery and Requirement Analysis
Design and Planning
Data Collection and Preparation
Model Development and Training
Integration and Testing
Monitoring and Support
Natural Language Processing (NLP)
We develop AI Copilots using advanced NLP capabilities to understand, interpret, and generate human language. This enables seamless communication and interaction with users, whether through text-based chatbots or voice-enabled assistants.
Machine Learning Models
At the core of the AI Copilot solutions we build are sophisticated ML models trained on vast datasets. These models are capable of identifying patterns, making predictions, and providing valuable insights, enabling intelligent decision-making and automation.
Computer Vision
Our team incorporates cutting-edge computer vision technologies in AI Copilots for applications that require visual analysis and recognition. From image and video processing to object detection and facial recognition, we build these solutions with advanced visual intelligence capabilities.
Data Integration and Analysis
We priorities seamless integration with existing data sources, enabling real-time data analysis and insights. By leveraging advanced data integration techniques, we ensure that AI Copilots have access to the most up-to-date and relevant information, driving informed decision-making.
Integration APIs
We develop robust APIs that enable efficient communication and data exchange between your applications and AI Copilot solutions. These APIs ensure a smooth flow of information, allowing our intelligent assistants to access and process relevant data in real time.
Data Science & Analytics
Our team of data scientists and analysts employ advanced techniques to extract valuable insights from your data. By leveraging statistical modeling, machine learning, and predictive analytics, we uncover patterns, trends, and correlations that drive informed decision-making and strategic planning within your organization.
Rich expertise across diverse AI models
GPT-4.0
LLaMA-3
PaLM-2
Mistral 7B
Claude 3
DeepSeek-R1
Whisper V3
Stable Diffusion
Phi-2
Google Gemini 2.0
Vicuna
DALL-E 3
Developing smart solutions for every industry

Healthcare AI Solutions

Fintech AI Solutions

Retail AI Solutions

SaaS AI Solutions

Travel AI Solutions

Fitness AI Solutions

Insurance AI Solutions

Manufacturing AI Solutions
Developing effective Generative AI solutions for every industry
Healthcare

Healthcare AI Solutions
Retail

Retail AI Solutions
Fintech

Fitness AI Solutions
SaaS

SaaS AI Solutions
Travel

Travel AI Solutions
Fitness

Fitness AI Solutions
Insurance

Insurance AI Solutions
Manufacturing

Manufacturing AI Solutions
What our clients say:
AI copilot development
How long does the development and deployment of an AI Copilot typically take?
Can AI Copilots be customized to match my business's unique requirements?
What measures are in place to ensure the security and confidentiality of data processed by AI Copilots?
Can AI Copilots be trained to adapt to evolving business needs and preferences?
How can the return on investment (ROI) of AI Copilot implementation be quantified?
Point of view

Agent Experience (AX): The Concept of AI Agent Designing
We are on the brink of a big digital change- one where AI agents take center stage. These autonomous systems are designed to handle complex tasks independently, reducing the need for constant human input. Picture this: You are preparing for a big project at work....

AI Agent Evaluation: How to Conduct Effectively?
Building an AI agent involves more than just creating a functional prototype. While initial setups can be straightforward with the right frameworks, the real challenge lies in refining the agent to ensure it performs reliably in production. Issues such as inaccurate...

Large Action Models (LAMs): The Future of Intelligent Agents
AI has already made significant progress with large language models (LLMs), but now there's a new development: large action models (LAMs). While LLMs focus on processing and generating text, LAMs are designed to take action based on given instructions. These actions...

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...