AI Software Development
AI-Powered Application Development Solutions"
Our clients, our staff, and the way we handle them. As a technology business that has been developing digital goods for our Indian clients for many years, we are aware that technology is only an enabler; digital product engineering is more than that. Neocon helps clients see the wider picture and leads them cautiously and assuredly toward success.
Drive measurable success through ML/AI capabilities
In order to innovate, compete, and reach new performance frontiers, our machine learning app development firm brings multinational corporations into the realm of smart automation. Regardless of the industry, problem, or business case, Neocon's machine learning solutions improve what you create and transform how you do it.
- Lead the customer experience revolution with smart data personalization.
- Optimize processes end-to-end to unlock value chain potential and address business needs.
- Empower decisions with data-driven insights and boost your crisis response capabilities.
- Enhance customer satisfaction with innovative and convenient self-service options.
- Empower your digital products with AI innovation, language processing, and analytics to optimize ROI.
Leading the automation revolution through ML consulting services
Our machine learning development company is here to help you at every stage, whether you're just beginning your ML journey or scaling the impact of AI across your business. Neocons' AI experts provide organizations with end-to-end support to help them leverage the power of analytics, automation, and artificial intelligence.
Strategic Consulting
Implementing a solid strategy for machine learning development helps de-risk it, understanding its capabilities and limitations, and assessing its impact on business use cases.
Project Planning
Our machine learning company manages project planning, setup, feasibility assessment, tech stack selection, architectural design, model selection, and performance baselines for your ML initiative.
Redefine success with our ML app development services designed for business acceleration
Our machine learning agency focuses on delivering AI-powered solutions that promote business growth by ensuring they are designed, tested, and scaled for success.
Defining and structuring challenges
Machine learning is not appropriate for all corporate use cases. To ascertain the technical viability of your project and predict the success of your ML solutions, our ML developers use problem framing.
- Business use case analysis
- Machine learning problem framing
- Proof of Concept
- Prototyping
Data Transformation
The completeness and dependability of your organization data determine how accurate machine learning algorithms are. Our data scientists change your data by cleaning, enriching, and labeling the input to provide superior machine learning solutions.
- Data preparation and transformation
- Data collection and labeling
- ETL data pipeline development
- Data quality validation
Validation and deployment
To guarantee excellent performance in production, we test, validate, and optimize your machine learning solution before deploying it into a target environment. Following that, our engineers decide on the best deployment strategy and release the model to end users.
- Evaluation of model performance
- ML model testing and validation
- Model-specific optimizations
- Integration of ML models into applications
Model supervision and data lifecycle management
Our staff monitors your model after deployment to avoid drift and debug it as you grow your solution. Additionally, we continuously assess the model's accuracy and effectiveness and make adjustments based on fresh data.
- ML model maintenance and tuning
- Model evolution to address new business needs
- Model troubleshooting and hotfixes
- Reporting of model performance
Model Development
Our AI specialists provide an ideal machine learning model based on your business objectives, assess its performance for your business use case, and adjust it using your data to enhance the model's predicting capabilities.
- ML model exploration and refinement
- ML model evaluation
- Training of machine learning models
- Fine-tuning the parameters of ML models