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Trusted by startups and fortune 500 companies

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Arijit
Arijit
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Senior AI Engineer
14 Years Experience

Arijit engineered AI-powered financial solutions leveraging a microservices architecture and machine learning models to enhance data analytics and deliver personalized financial insights. He employed Docker for scalable deployments and used SQL to manage data efficiently, resulting in improved financial operations and increased customer engagement.

Shahid
Shahid
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Senior AI Engineer
11 Years Experience

Shahid created AI-powered data analytics solutions tailored for the construction industry, utilizing Jupyter and Power BI to integrate machine learning models that improved project management and decision-making. He optimized ETL workflows and enhanced data visualization to deliver real-time insights across construction operations.

Shankar
Shankar
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Senior AI Engineer
10 Years Experience

Shankar designed AI-powered retail solutions by implementing machine learning models and streamlining ETL processes with Airflow. He maintained strong data governance and quality throughout the pipeline, leveraging SQL for effective data handling, which enhanced decision-making and elevated the customer experience in retail operations.

Akash
Akash
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Senior AI Engineer
13 Years Experience

Akash built AI-powered solutions for IT services, combining machine learning models with cloud platforms to enhance data processing efficiency. He developed advanced visualizations with Power BI and Tableau and utilized SQL for effective data management, boosting business intelligence and service delivery.

Yogesh
Yogesh
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Senior AI Engineer
9 Years Experience

Yougesh designed AI-powered predictive models for the manufacturing sector, enhancing ETL processes and data pipelines to deliver precise production forecasts. She used Anaconda to develop machine learning models, boosting operational efficiency and supporting informed decision-making in large-scale manufacturing.

Our AI Expertise

Our Commitment to Providing the Best Services

 Machine Learning

Predictive models, classification, clustering

 Deep Learning

Neural networks, CNNs, RNNs, transformer nets

 NLP & Chatbots
GPT-powered assistants, sentiment analysis
Computer Vision
Object detection, OCR, facial recognition
Generative AI
AI-generated text, images, audio & code
AI Integrations
OpenAI, Claude, Gemini, Anthropic API, etc.
 MLOps & Deployment
CI/CD, model tuning, cloud deployment

Why Choose SDLC Corp

Why Businesses Choose SDLC Corp for AI Development

why choose sdlccorp

Portfolio

Testimonials

Execution Process

Turning Vision into Reality

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Requirement Gathering
The initial phase involves communicating with stakeholders to understand their needs and analyzing the information to create clear requirements for the software development process.
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Development
Developers adhere to coding standards, use selected technologies, and collaborate to build the solution iteratively, with regular check-ins and code reviews ensuring quality and alignment with design specifications.
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Maintenance & Support
Post-deployment, the software enters the maintenance and support phase. This involves monitoring the system’s performance, addressing any issues that may arise, and releasing updates or patches as needed.
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Design and UI/UX
The design phase creates the software blueprint, including architecture, database design, and UI mock-ups, while selecting technologies and platforms for development.
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Testing and Deployment
In the testing phase, quality assurance focuses on identifying and fixing bugs. Issues are addressed & retested before deployment. Continuous monitoring ensures quick resolution of any unforeseen problems post-deployment.
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Frequently Asked Questions

Our experienced AI software developers are proficient in Python, TensorFlow, PyTorch, and Scikit-learn. They are skilled in Natural Language Processing (NLP) techniques and utilize various NLP libraries to create advanced language-based applications. Additionally, our developers have expertise in deploying AI solutions on leading cloud platforms such as AWS, Azure, and Google Cloud Platform (GCP). Their capabilities extend to advanced Machine Learning Operations (MLOps), Deep Learning methodologies, Generative AI, and Large Language Models (LLMs).

SDLC Corp ensures swift onboarding of highly skilled AI developers, typically within a few days after understanding your requirements. Once you share your project details, our team evaluates your specific needs and quickly matches you with qualified AI developers who have the right skill sets and experience, enabling you to start your AI initiatives without delay.

SDLC Corp stands apart due to our dedication to delivering tailor-made AI solutions combined with transparent pricing, agile project management, and extensive technical expertise. Our developers have a proven track record across diverse industries and are adept at handling complex projects. Moreover, our commitment to continuous client collaboration, post-deployment support, and rigorous adherence to security and compliance standards ensures successful and trusted partnerships.

At SDLC Corp, we’ve successfully delivered AI-driven solutions across diverse industries such as healthcare, where we’ve implemented diagnostics and medical imaging solutions; finance, including FinTech solutions like fraud detection and algorithmic trading; e-commerce, providing personalized recommendations and demand forecasting; education, through AI-powered personalized learning systems; logistics, with predictive analytics and route optimization; and manufacturing, by integrating predictive maintenance and quality control systems.

SDLC Corp prioritizes data privacy and security by strictly adhering to industry-standard best practices. Our process includes comprehensive Non-Disclosure Agreements (NDAs) to ensure confidentiality. We implement advanced data encryption techniques both at rest and during transmission, ensuring that your sensitive information remains secure. Additionally, we fully comply with global data protection regulations such as GDPR and CCPA. Our security measures also involve regular audits, vulnerability assessments, strict access controls, and continuous monitoring.

Yes, SDLC Corp offers flexible hiring solutions tailored specifically to your requirements. You can hire AI developers on a part-time, hourly, full-time, or project-specific basis, depending on your particular business needs. Our adaptable engagement models allow you to efficiently scale your AI team according to your timeline, budget, and project scope.

Absolutely. At SDLC Corp, our support doesn’t end once your AI solution is deployed. We offer extensive post-deployment assistance, which includes regular monitoring, maintenance, and performance optimization. Our team actively manages AI model retraining and continuous enhancements to maintain accuracy, effectiveness, and relevance. Additionally, our experts are always available for ongoing technical support, guidance, and consultations to help you successfully adapt your AI solutions over time.

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