Software Development and Integration

At AryabhCorp, we build resilient, future-ready software solutions designed for the VUCA digital world—volatile, uncertain, complex, and ambiguous. With deep expertise across industries and technologies, we deliver scalable, cost-optimized platforms that grow with your business.

Driving Digital Transformation Through Agile Engineering and Strategic Innovation

Our approach blends agile engineering with design thinking, ensuring that every solution is grounded in real user needs and aligned with strategic goals. We specialize in end-to-end software development and systems integration, enabling seamless digital ecosystems. Whether modernizing legacy systems or building new digital-native applications, our team ensures high performance, security, and scalability. We integrate cutting-edge technologies like AI, cloud, automation, and blockchain with business logic to unlock real value. Our modular architectures reduce upfront investment while setting the foundation for long-term growth. By focusing on experience-driven strategy, we help organizations drive adoption, efficiency, and innovation. With a strong culture of transparency and collaboration, we position ourselves as long-term technology partners. Our ultimate goal: to help you maximize returns from digital transformation while earning lasting customer trust.

Technologies we work with

AI Technology Stack (Layer by Layer)

Infrastructure Layer (Hardware & Cloud)

These provide the computing power needed for AI.
Cloud Providers

AI Hardware

  • CPUs (Intel, AMD)
  • GPUs (NVIDIA, AMD)
  • TPUs (Google)
  • NPUs (Edge AI chips – Apple Neural Engine, Intel Movidius)

Data Layer

Tools and systems to collect, store, and process data.
Data Storage
Data Processing

Databases

  • SQL: PostgreSQL, MySQL
  • NoSQL: MongoDB, Cassandra
  • Vector DBs: Pinecone, FAISS, Weaviate

Modeling & Machine Learning Layer

Where the core AI/ML models are built and trained.
ML Frameworks
AutoML

Large Language Models (LLMs)

  • OpenAI (GPT)
  • Anthropic (Claude)
  • Meta (LLaMA)
  • Mistral
  • Cohere

Model Training & Experimentation Tools

Used by data scientists to develop and test models.
Notebooks
AutoML

Experiment Tracking

  • MLflow
  • Weights & Biases
  • Comet.ml

Deployment & Serving Layer

Tools to put AI models into production.
Model Serving
MLOps Tools

Containers & Orchestration

  • Docker
  • Kubernetes
  • Airflow

Application Layer

Where AI is used in real-world software or products.

Use Cases

  • Chatbots & Virtual Assistants (Dialogflow, Rasa, OpenAI APIs)
  • Computer Vision (YOLO, OpenCV)
  • NLP (spaCy, NLTK, Hugging Face Transformers)
  • Recommendation Engines
  • Predictive Analytics

Monitoring & Governance Layer

Ensures AI is working safely, ethically, and efficiently.
Monitoring
  • Arize
  • WhyLabs
  • Fiddler AI
  • NPUs (Edge AI chips – Apple Neural Engine, Intel Movidius)
Model Explainability
  • SHAP
  • LIME
Bias & Fairness Tools
  • AI Fairness 360 (IBM)
  • Google What-If Tool
Security
  • Data protection
  • Model integrity checks