AI Development Services

AI development services cover planning, building, integrating and supporting software that uses machine learning, natural language processing, computer vision or generative AI. Typical deliverables include a chatbot, a custom model or an AI feature connected to an existing website, app or business system.

The Starter AI Chatbot costs USD 1,999, the Integrated AI Chatbot costs USD 2,000–2,999, and Custom ML Development starts at USD 3,000. Hosting, model/API usage and third-party subscriptions are itemised separately. Your proposal confirms the agreed deliverables and development fees.

Estimated delivery is 2–4 weeks for the USD 1,999 tier and 5–8 weeks for the USD 2,000–2,999 tier. For projects priced at USD 3,000+, the timeline is confirmed after scoping. Delivery depends on the agreed requirements, data readiness, integrations, and feedback.

Yes. Our AI integration services connect chatbots, custom models and automation to ERP, CRM, Shopify, mobile apps and SaaS platforms. We agree the required APIs, data access and workflow before implementation.

Useful applications include customer support in e-commerce, demand planning in logistics, property enquiries in real estate and internal knowledge tools for enterprise teams. The right starting point is a repeatable task with accessible data and a result you can evaluate.

Enterprise AI development needs security requirements defined around the data and deployment. We agree access controls, data handling, encryption, hosting and human review requirements during scoping. Any industry-specific compliance requirements must be confirmed in the proposal.

Yes. Digittrix is based in Mohali, Punjab, and works with clients in India and overseas, including the United States, United Kingdom, Canada, Australia and New Zealand. Projects use agreed milestones, remote reviews and a documented handover.

Ask for relevant project examples and a clear explanation of the proposed data sources, integrations and evaluation criteria. Compare deliverables, development fees, ongoing model and hosting costs, ownership terms and support coverage. A useful proposal explains both what will be built and how you will check that it works.

Define approved knowledge sources, user roles, system integrations, escalation to staff and evaluation criteria. Access controls, conversation records, deployment and ongoing costs should reflect your organisation’s requirements. We agree these details before confirming the proposal and delivery timeline.

A manufacturing chatbot can help teams find approved SOPs, answer product questions, check order status or route maintenance requests. Start with one workflow, then define document ownership, ERP access and escalation to a person. Agree supported languages and how answers will be checked before rollout.

A chatbot built with Google Cloud tools such as Dialogflow CX needs conversation design, approved content, business-system integrations and testing. We assess platform suitability during discovery and agree account access, usage charges and deployment requirements in the proposal.

Deep learning uses neural networks and is one approach within machine learning. It can suit image, speech and complex language tasks; structured business data may benefit from simpler models. Compare approaches using representative data, a useful baseline, evaluation results and deployment costs before selecting a model.

The client owns the AI project delivered by Digittrix. Third-party components retain their applicable licences. Ownership and handover details are documented in the project agreement.

Yes. AI development projects include six months of technical support from handover, covering troubleshooting and fixes within the agreed scope. New features, integrations and model retraining are quoted separately. The project agreement documents the support coverage.