Helping businesses leverage advanced AI capabilities to elevate decision-making and growth
Artificial Intelligence (AI) revolutionizes complex problem-solving and decision-making across industries by analyzing data trends and enhancing risk management. Its advanced capabilities, from Machine Learning to Deep Learning, enable precise customer interactions and operational efficiencies.
Our team of experts leverages these technologies to develop custom AI solutions that meet your specific business needs. Contact us to discover how our AI development services can transform your organization and drive success.
WHAT WE OFFER
Our Artificial Intelligence (AI) development services
We collaborate closely with clients to identify the best AI strategies for their business goals. Our services include training, education, and resources to support their AI adoption journey.
– CivilTakeoff.ai
AI-Powered Blueprint Analysis for Improved Construction Workflow
We built an AI blueprint classifier using computer vision and deep learning for civil engineers to automate marking tasks on construction blueprints, ensuring precise labeling and coloring while significantly reducing manual errors and project delays.
- Reduced marking errors by up to 90%
- Accurate identification of blueprint regions using edge detection
- Lowered Project Completion time by 30%
- Automated labeling and coloring aligned with construction notes
– CodmanAI
Transformed Medical Document Analysis for Efficient Claim Processing with AI
Using advanced AI, we built an AI-powered claim processing solution that extract key medical data, generate accurate ICD-10 and CPT codes, and reduce manual effort for faster, more efficient insurance operations.
- 40% Faster Insurance Claim Settlements Processing
- Advanced document analysis to extract key insights
- Reduced human errors in medical coding by 20%
- Delivers precise code assignments with advanced NLP
– ERP AI Agent
Revolutionized ERP System with an AI Agent for Streamlined Order Management
For a leading American manufacturer, we created an ERP AI agent to manage customer orders, inventory, and order tracking, improving order accuracy and response times while enhancing operational 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
– Medical Research Chatbot
Transformed Medical Research with a Generative AI Chatbot
We leveraged generative AI to build a medical research chatbot for breast cancer patients that delivers accurate, evidence-based answers, providing easy access to the latest studies, clinical trials, and medical insights.
- 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
BENEFITS
Explore the transformative potential of AI development
Artificial Intelligence (AI) has evolved from basic Machine Learning techniques to advanced Deep Learning systems, empowering it to tackle complex issues. Our AI development services help businesses, pinpointing the right approaches to address their challenges more adeptly, whether it’s uncovering fraudulent activities, customizing client engagements, predicting weather patterns, or diagnosing medical conditions.
The goal of artificial intelligence (AI) has always been to make commercial decisions more wise. Hence, through synchronizing data flow, scrutinizing trends, fostering data uniformity, offering predictions, and evaluating ambiguities, AI technology empowers organizations to arrive at the most optimum decisions.
AI-based business forecasting not only assists businesses in making important decisions but also equips them with the necessary tools to deal with emergencies and maintain operations. Custom AI-powered systems can assist firms in making proactive responses to crises because risk management now primarily relies on data management and analysis.
TOOL & TECHNOLOGY
AI development tech stack
Our engineers recommend the optimal AI and ML development technology stack tailored to each solution. They are skilled and trained in a variety of cutting-edge technologies.
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.
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.
FAQs
AI development services
What is your experience with projects similar to ours?
We’ve implemented AI solutions in healthcare, finance, and retail, such as a predictive analytics tool that boosted retail inventory turnover by 30%. Our broad experience allows us to build customized solutions for your specific needs. Explore our work to learn more about how we have helped our clients.
What technologies do you most commonly use with AI development services, and why?
For AI development services, we leverage techniques such as supervised and unsupervised learning, deep learning, and neural networks. We primarily use Python for its extensive libraries and community support, along with TensorFlow and PyTorch, depending on project needs. Our expertise also includes NLP, computer vision, MLOps, AI models, data processing tools, and cloud platforms, ensuring solutions are tailored to specific project requirements.
How do you measure the success of an AI project?
We measure AI success using KPIs like operational efficiency, error rate reduction, and customer satisfaction, monitoring and optimizing these throughout the project to ensure goal alignment. A POC or MVP helps assess the real-world feasibility of the AI solution before committing to a full-scale one.
What post-deployment support and maintenance do you offer?
We offer comprehensive post-launch support, including system monitoring, updates, and troubleshooting. Our support packages are customizable to ensure your AI systems operate efficiently.
Can you describe your development process, especially how you handle changes in project scope?
Our AI development process follows key steps to ensure smooth delivery. We begin with mathematical formalization, defining objectives and constraints. Next, we focus on data collection, sourcing high-quality datasets, followed by exploratory data analysis (EDA) to uncover patterns and inconsistencies. Data preprocessing ensures clean, structured data for training. During AI training and validation, we fine-tune models for accuracy and performance. AI deployment integrates the model into real-world environments, and AI monitoring ensures ongoing optimization, handling changes in scope through iterative improvements and continuous feedback.
What strategies do you implement to handle the challenge of data quality and sufficiency for training AI models?
We assess data quality initially and address any gaps with data augmentation, synthetic data generation, and advanced cleaning. We also help establish ongoing data collection strategies to maintain and enhance model performance.
How do you ensure data security and compliance in AI projects?
We prioritize data security through encryption, secure protocols, and regular audits. We align our AI software development processes with regulations like GDPR and HIPAA and collaborate with your compliance teams to meet data protection standards.
What is the typical cost of custom AI development with your team?
The cost of developing a custom AI solution varies based on factors like project complexity, data requirements, and specific functionalities. Generally, we provide a detailed cost estimate of after understanding your project needs and scope.
What is your typical timeline for delivering AI development projects?
The timeline for AI development varies depending on the project’s complexity. You can start with a Proof of Concept, which takes 2-3 weeks to complete. The POC allows us to demonstrate the potential impact of the AI solution using your data.
OUR BLOGS
Point of view
Our thought leadership initiative – an exclusive platform for sharing our insights and technological perspectives.
AI in Commercial Real Estate: 10 Applications Turning Data Into Growth
Commercial real estate runs on data, from leases and rent rolls to investor reports and market forecasts. Yet for many businesses, this data is scattered across systems and formats, making it difficult to act quickly or confidently. According to Morgan Stanley, AI and...
RFQ Automation in Manufacturing: Powering Smarter, Faster Procurement with AI
Procurement leaders today face a constant squeeze - rising material costs, volatile supply chains, and the pressure to move faster without sacrificing accuracy. Yet for many manufacturers, the RFQ (Request for Quotation) process remains a major bottleneck in...
AI for Manufacturing Quotations: Streamline Quoting, Secure Margins
Traditional quoting processes rely on manually analyzing CAD drawings, extracting material and operation details, and estimating costs and lead times. For complex products, this process can take hours or even days, slowing operations and increasing the risk of errors....
How AI Blueprint Interpretation is Changing Quotation Workflows?
Over the past year, 95% of manufacturers have invested in, or plan to invest in, AI technologies, marking a decisive shift in how design, production, and supply chain workflows are evolving. Meanwhile, traditional automation - macros, scripts, and rule-based processes...
