Turn Your Data Into Intelligent Products, Not Just AI Demos

Cost varies with solution complexity, data availability, model type and integration needs. A proof of concept or simple AI feature typically starts from $5,000 to $15,000. Mid-complexity solutions such as custom ML models, chatbots or RAG-based generative AI applications range from $20,000 to $60,000, and enterprise platforms with fine-tuned LLMs and deep integrations can go higher. We offer transparent, milestone-based pricing with no hidden charges.

Timeline depends on scope and data readiness. As a general estimate:

• Proof of concept or MVP: 4 to 8 weeks
• Mid-complexity ML model or AI feature: 2 to 4 months
• Enterprise AI platform or LLM fine-tuning: 4 to 9 months

Generative AI refers to systems such as large language models that generate text, code, images and other content from prompts. For businesses that unlocks AI-powered customer support, automated document drafting, intelligent search over private knowledge bases, code generation and personalized content at scale. We build custom generative AI applications on models such as GPT-4, Claude, Gemini and open-source alternatives like Llama, tailored to your data and compliance needs.

AI is the broad field of building systems that perform tasks requiring human-like intelligence. Machine learning is a subset where systems learn from data rather than explicit programming. Deep learning is a subset of ML that uses multi-layer neural networks, which is especially powerful for image recognition, NLP and speech. We work across all three depending on your use case.

Retrieval-Augmented Generation (RAG) combines a large language model with a retrieval system so it can answer from your private documents, databases or knowledge bases instead of relying only on training data. It suits enterprise chatbots, internal knowledge assistants and document Q&A. Yes, we build production-grade RAG applications using LangChain, vector databases such as Pinecone, Weaviate and pgvector, and the LLM of your choice.

Yes. We connect trained models and AI services into your web apps, mobile apps, ERP and CRM systems and data platforms through REST APIs, microservices or embedded SDKs, covering API design, authentication, error handling and performance optimization.

Data security is foundational to every engagement. As an ISO 27001 certified company, we implement end-to-end encryption, strict access controls, data anonymization where required and secure model serving. We sign NDAs before any data is shared and can work inside your existing cloud environment or VPC so your data stays under your control.

Yes. Models degrade as real-world data shifts, which is known as model drift. We offer post-deployment support including performance monitoring, drift detection, scheduled retraining, infrastructure management and feature enhancements, with flexible SLA-backed plans.

We use a modern, production-proven stack chosen for your project. Our core technologies include:

• Languages: Python, R, Julia, Scala
• ML and DL frameworks: TensorFlow, PyTorch, Keras, scikit-learn
• LLM and GenAI: OpenAI API, LangChain, Hugging Face, Llama
• Cloud and MLOps: AWS SageMaker, Azure AI, GCP Vertex AI, MLflow
• Data engineering: Apache Spark, Airflow, dbt, Kafka

We have delivered AI solutions across a wide range of industries:

• Healthcare: clinical NLP, medical image analysis, patient risk scoring
• Fintech: fraud detection, credit scoring, trading signals
• E-commerce: recommendation engines, dynamic pricing, demand forecasting
• Logistics: route optimization, predictive maintenance, warehouse automation
• E-learning: adaptive learning, automated grading, content personalization
• Manufacturing: visual defect detection, predictive equipment failure

You share your AI initiative requirements, we shortlist matching engineers (AI engineers, ML engineers, data scientists or data engineers), you interview them, and once finalized they start within 48 to 72 hours. We offer three engagement models: Monthly Retainer, Hourly and Fixed-Price Project, with timezone alignment and daily reporting.

D2i Technology is a trusted AI development company in India with 17+ years of experience and 60+ AI projects delivered across healthcare, fintech, e-learning and e-commerce. We are ISO 27001 and ISO 9001 certified, work with the latest AI frameworks and LLMs, and deliver senior-level quality at up to 60% cost savings versus onshore alternatives, with full transparency.