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Cross-Industry Delivery Experience
Selected organizations represented across Digittrix’s broader product portfolio. Explore our portfolio and client reviews for the scope of each engagement.
What Are AI Development Services?
AI development brings machine learning, natural language processing, computer vision and generative AI into useful software. As an artificial intelligence development company, Digittrix helps businesses turn these capabilities into customer-facing products and internal tools.
Start with one task: answering customer questions, finding information in approved documents or making a forecast from business data. We assess the available data, build the interface and model integration, and test the output against agreed examples. The result can be a new application or a feature within your existing website, CRM, ERP or SaaS platform.
- Custom AI
- Built around your workflows
- Web + Mobile
- Connected product experiences
- End to End
- Discovery through ongoing support
Start with the business problem
Business Challenges We Solve
Turn repetitive work, disconnected data, and missed insights into a focused AI roadmap.
Poor data utilization
High customer support costs
Low conversion rates
Inaccurate demand forecasting
Fraud detection challenges
Inefficient marketing personalization
Scalability issues in SaaS platforms
Seven ways to put AI to work
AI Solutions for Businesses
Explore chatbots, custom models and connected applications. Each project starts with the task your users need to complete, the data available and a clear way to evaluate the result.
Swipe to explore all seven AI solutions
AI Chatbot Development Services
Build assistants that answer questions from approved business content, capture enquiries and route conversations to your team. Connect the chatbot to your website, mobile app, Shopify store or SaaS platform.
- Conversational AI
- Customer support
- Website & app integration
Machine Learning Development Services
Turn business data into forecasts, recommendations or classifications. We prepare the data, compare model approaches and evaluate results against an agreed baseline before connecting the model to your application.
- Demand forecasting
- Recommendations
- Risk signals
Generative AI Development Services
Create content tools, document workflows and assistants using model APIs and approved business information. Define what the tool should produce, test representative examples and add human review where needed.
- Content generation
- Document workflows
- AI assistants
AI SaaS Development
Add AI features to a subscription product with user accounts, admin dashboards and APIs. Plan access permissions, model usage and running costs alongside the customer experience.
- Subscriptions
- Admin dashboards
- Scalable APIs
Computer Vision Solutions
Analyse images or compatible camera feeds for objects, activity and configured events. Scope image quality, detection rules, review controls and data handling before development.
- Image recognition
- Object detection
- Visual analysis
AI App Development Solutions
Bring chatbots, recommendations or image analysis into Android and iOS apps. We connect the interface to the model and backend, then test the feature within the complete mobile journey.
- Android & iOS
- Real-time intelligence
- Connected experiences
AI Data Analytics Platforms
Bring forecasts and operational signals into dashboards your team can use. Agree the data sources, refresh frequency and evaluation criteria around the decisions the dashboard needs to support.
- Predictive insights
- Reporting
- Operational dashboards
Choose the right starting point
Which AI solution fits your business?
Match the task to the information available and the result you need to check. A document assistant retrieves business knowledge; a custom ML model learns patterns from examples. They solve different problems.
| Solution | Best starting task | What you provide | How to evaluate it |
|---|---|---|---|
| FAQ chatbot | Answer recurring service questions and capture enquiries. | Approved FAQs, one language and website access. | Correct answers to common questions, successful enquiry capture and fallback for unknown questions. |
| Document-grounded assistant (RAG) | Find answers in policies, product documents or an internal knowledge base. | Current documents, access rules and representative questions. RAG retrieves relevant passages for the model to use. | Relevant retrieval, answers supported by sources, permission checks and handling of missing information. |
| AI workflow automation | Classify requests, draft a response or prepare a CRM update for approval. | Workflow rules, example inputs, API access and approval requirements. | Correct actions, successful handoffs, failed-request recovery and time spent reviewing outputs. |
| Custom machine learning | Forecast demand, recommend items or classify business records. | Representative records, field definitions and labels where required. | Performance on held-out data versus a useful baseline, including the business cost of errors. |
| Computer vision | Identify configured objects or events in images and compatible camera feeds. | Authorised sample footage or images, capture conditions and the events to detect. | Missed and false detections, response time and operator review under representative conditions. |
Document retrieval does not automatically require training a new model. Fine-tuning, additional channels and multi-step automation are assessed separately. Compare package scope and pricing or share your workflow.
AI Development & Integration Services
Bring the data, models, interfaces and infrastructure together so your AI feature works within the complete product.
Four connected delivery tracks
From an AI idea to a working business system
Plan the complete lifecycle around your existing software, operational goals, and a scope your team can review.
AI Integration Services
Connect models and assistants to the software your team already uses, with agreed APIs, permissions and data flows.
- ERP & CRM systems
- Shopify stores
- SaaS platforms
- Web & mobile applications
AI Consulting & Model Engineering
Our AI consulting services assess your data, prioritise use cases and select a practical approach to model development.
- Data preparation
- Machine learning models
- NLP solutions
- Predictive analytics
AI Automation Services
Connect repetitive tasks, assistants and business rules, with clear handoffs and review steps where needed.
- AI chatbots
- Document automation
- Third-party APIs
- Human review workflows
Deployment & Support
Move from a working prototype to a maintainable production service.
- Cloud deployment
- API connectivity
- Performance monitoring
- Post-launch AI support
Industry-specific intelligence
Industries We Serve
These are examples to explore during discovery. We assess each use case against your workflows, data access and review requirements before confirming the scope.
Healthcare
Appointment assistance, staff knowledge tools and document workflows, with agreed access controls and human review.
E-commerce
AI recommendation engines, smart search, personalization engines, fraud detection.
FinTech
Customer support, document review and fraud-risk signals for staff assessment, with requirements defined before development.
Real Estate
AI property valuation models, chatbots for property inquiries, lead scoring systems.
Education
AI-based learning platforms, smart grading systems, personalized learning algorithms.
Ride Sharing & Mobility
AI route optimization, demand forecasting, driver allocation systems.
Logistics & Supply Chain
Predictive inventory management, demand planning, AI tracking systems.
SaaS & Startups
AI-based analytics dashboards, user behavior prediction, automated customer support.
Technology blueprint
Our AI Technology Stack
Explore the tools behind your AI product, from models and application interfaces to cloud delivery and data storage. The final stack follows discovery.
Architecture layers
Technology decisions account for maintainability, performance, security, and your team’s future needs.
01 · Models & intelligence
5 technologiesAI & Machine Learning
Build AI capabilities with Python, machine learning frameworks, model APIs, and open model ecosystems.
Python
TensorFlow
PyTorch
OpenAI
Hugging Face
02 · Connected services
4 technologiesBackend & APIs
Connect models to application logic, business workflows, APIs, and access controls.
Node.js
PHP
Laravel
CodeIgniter
03 · Web experiences
3 technologiesFrontend
Create responsive interfaces for AI assistants, analytics, and administration.
React
Angular
Vue.js
04 · Android & iOS
3 technologiesMobile
Bring AI-powered features into cross-platform and native mobile applications.
Flutter
Swift
Kotlin
05 · Deployment & operations
3 technologiesCloud & DevOps
Plan deployment, containers, monitoring, and infrastructure around the workload.
Microsoft Azure
Docker
Google Cloud
06 · Application & model data
4 technologiesDatabase
Choose storage around data structure, access patterns, and application requirements.
MySQL
MongoDB
PostgreSQL
Firebase
Explore our delivery experience
Selected Project Work
Explore AI camera detection, skin analysis and AI astrologers through Surnexo, MadamG and Your Pandit Ji.
AI camera detection
Surnexo
- Business problem
- Bring scattered camera feeds and configured incident detections into one place for operators to review.
- Project delivery
- A camera-monitoring product publicly credited to Digittrix. Its published capabilities include fight and violence detection, watchlist face matching, and fire, smoke and fall alerts.
- AI workflow
- Connect compatible cameras, analyse feeds for configured events, then surface alerts and visual context in the monitoring dashboard. Operators review the event before deciding how to respond.
AI skin analysis
MadamG
- Business problem
- Connect personalised skin insights with beauty-service discovery and appointment management.
- Digittrix delivery
- Customer app, beautician app and admin panel. The customer home screen includes the Skin AI Analysis entry point shown here.
- AI workflow
- MadamG’s public skin-analysis experience combines assessment questions with a selfie or camera scan to generate skin insights and skincare guidance. The app screens show access and booking; explore the linked AI experience for the assessment flow.
AI astrologers
Your Pandit Ji
- Business problem
- Bring astrology consultations, Kundli access and pooja bookings into a connected website and mobile experience.
- Digittrix delivery
- Website and mobile app, with AI astrologers confirmed as a platform feature by Digittrix.
- AI within the product
- AI astrologers sit alongside consultation and booking services. The image shows the public website; the case study documents the delivered product and confirmed feature scope.
Your technology partner
Why Choose Digittrix as Your AI Development Company?
Our team in India brings product planning, application engineering and model integration together. Define the scope of your chatbot or custom ML solution, review progress at agreed milestones and plan the handover with one delivery team.
Prefer a local discussion? Explore our AI development services in Mohali and arrange a meeting at our Sector 75 office.
Discuss your AI projectBuilt around your business
Chatbots and custom models shaped around your data, users and day-to-day workflows.
Connected to your systems
Bring AI into your existing website, app, CRM or ERP with an agreed integration scope.
Architecture planned for growth
Plan data access, security and deployment around the needs of your product.
Clear communication
A dedicated project manager coordinates requirements, feedback and delivery milestones.
Your project. Your ownership.
You own the delivered project, with handover details agreed in your proposal.
6 months of technical support
Troubleshooting and fixes within your agreed scope, starting from handover.
Chatbots & custom machine learning
Custom AI Development Services: Define Your Scope
Start with the workflow you want to improve. For chatbot and custom ML projects, the discovery discussion connects your data, integrations and success criteria to an agreed delivery scope.
Chatbot development
Plan how the assistant should answer questions, use your business information and hand a conversation to a person when needed.
- Bring: your FAQs, approved content, example questions and the website or app where the chatbot will run.
- Define: required languages, data access, integrations, escalation rules and expected usage.
- Evaluate: answer quality on representative questions, response time and the cost of typical conversations.
Custom machine learning
Start with a specific prediction or classification task and assess whether the available data can support it.
- Bring: representative data you are authorised to use, field definitions, available labels and the current workflow.
- Define: the target output, data preparation, integration points and a useful baseline for comparison.
- Evaluate: performance on held-out data, the cost of errors and how model quality will be monitored after release.
Before sharing production data, agree access and handling requirements. The client owns the delivered AI project, with six months of technical support included. Confirm deliverables, handover, hosting, third-party costs and support coverage in the project proposal.
Define acceptance before release
AI quality checks and data handling
Use discovery to agree the checks, permissions and operating responsibilities your application needs. The final proposal records which controls and evaluation work are included.
Check answers against approved sources
For a knowledge assistant, define the allowed content and test representative questions against expected answers. Where source references are required, check that they support the response. Include missing, conflicting and outdated information in the evaluation; retrieval alone cannot guarantee a correct answer.
Define what happens when AI cannot answer
Agree when the assistant should ask for clarification, state that information is unavailable or direct the user to a person. For workflows that change records, define approval steps and failed-action handling. Starter includes fallback to your team; live-agent integrations and approval workflows need an agreed scope.
Plan access and data boundaries
Before sharing production records, identify authorised sources, user roles and which data may reach a model provider. Agree hosting, encryption requirements, log access, retention and deletion. Review provider terms and any industry-specific obligations against the proposed deployment.
Evaluate release and ongoing performance
For custom ML, compare held-out results with a baseline and review the cost of false predictions. For assistants, review answer quality, latency and failed requests. Agree monitoring for usage, errors and costs, and who maintains content or retrains models. Monitoring services and retraining are scoped separately from the six-month technical support commitment.
A clear path to production
Our AI Development Process
Review the work at each stage, from feasibility and a focused prototype to integration, release and support. Agree evaluation criteria early so progress can be checked against the intended task.
Discovery & Goals
Agree on the business workflow, users, and measures of success.
Data & Feasibility
Review data quality, access, integrations, and model options.
Prototype & Evaluate
Test a focused AI workflow against representative examples.
Build & Integrate
Connect the model, interface, APIs, and business systems.
Test & Deploy
Check output quality, security, performance, and release readiness.
Monitor & Improve
Review real usage, model outputs, costs, and future improvements.
Plan your investment
AI Development Cost & Delivery Timelines
Choose a chatbot package or scope a custom machine learning project. AI development starts at USD 1,999, with clear inclusions and delivery estimates to help you plan.
- Client ownership
- 6 months of technical support
Starter AI Chatbot
USD1,999
Estimated delivery2–4 weeks
Answer common customer questions on your website.
- One website chatbot in one language.
- Setup using up to 50 client-approved FAQs.
- Branding, welcome message and suggested questions.
- Contact or enquiry capture.
- Fallback directing unanswered questions to your team.
- One consolidated revision round.
- Website installation and handover guide.
What you provideApproved answers, branding and website access.
Discuss this packageIntegrated AI Chatbot
USD2,000–2,999
Estimated delivery5–8 weeks
Connect customer conversations to an existing business workflow.
- All Starter features, with two consolidated revision rounds in total.
- Answers using an agreed collection of business documents.
- One integration with an existing CRM, booking system or API.
- One workflow, such as creating a lead or checking booking status.
- Conversation records and basic usage reporting.
- Integration testing and handover documentation.
What you provideApproved content, business documents and access to systems with suitable APIs.
Scope detailsPricing depends on document volume and integration complexity.
Discuss this packageCustom ML Development
USD3,000+
Estimated deliveryConfirmed after scoping
Build a prediction or classification model around your business data.
- Discovery for one defined business use case.
- Data-readiness assessment.
- Agreed data preparation and model development.
- Evaluation on held-out data against agreed metrics.
- Results report covering performance and limitations.
- Deployment and integration scope defined in the proposal.
What you provideRepresentative data you are authorised to use, field definitions and available labels.
Scope detailsData collection, substantial labelling and additional models are quoted separately.
Discuss this packageIncluded terms across all packages
- Client ownership: You own the delivered project. Third-party components retain their applicable licences.
- Six months of technical support: From handover, covering troubleshooting and fixes within the agreed scope.
- Additional work: New features, integrations and model retraining are quoted separately.
- Running costs: Hosting, model/API usage and third-party subscriptions are itemised separately.
What affects your ongoing AI costs?
Development pays for the agreed build. Operating costs depend on how people use it and the infrastructure selected for deployment.
- Model usage
- Request volume, input and output length, model choice, retries and any image or audio processing.
- Documents and storage
- Initial document processing, updates, search indexes, database storage and retained conversation logs.
- Hosting and connected tools
- Application hosting, monitoring, backups and any messaging, CRM or other third-party subscriptions.
Illustrative monthly budget
Assume 10,000 responses at an average model cost of USD 0.005 each, USD 30 for hosting and USD 20 for storage and search.
USD 50 model usage + USD 30 hosting + USD 20 storage = USD 100/month
These are hypothetical inputs to show the calculation, not provider prices or a Digittrix quote. Taxes, initial document processing, paid channels and additional support are excluded. Actual costs follow the chosen providers, workload and proposal.
Ask for separate estimates for development, initial data setup and monthly operation, plus agreed usage limits and alerts. New features, integrations and model retraining are quoted separately.
Delivery estimates depend on the agreed scope, data readiness, integrations and feedback. Your proposal confirms the deliverables, development fees, ongoing costs and support coverage.
Explore the AI chatbot cost planning guide for scope and ongoing-cost considerations.
Clear answers before you build
AI Development Services FAQs
Get answers about scope, cost, timelines, integration, and security.
What are 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.
How much does AI development cost?
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.
How long does it take to build an AI solution?
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.
Do you provide AI integration with existing systems?
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.
What industries can benefit from AI?
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.
Is AI secure for enterprise use?
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.
Do you provide AI development services in India and overseas?
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.
How should I choose an AI development company?
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.
What should an enterprise chatbot development service include?
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.
How can a chatbot support manufacturing teams?
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.
What does Google chatbot development involve?
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.
When does a project need deep learning?
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.
Who owns the AI project?
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.
Do you provide technical support?
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.
Plan your connected product
AI Planning Guides & Related Services
AI Chatbot Cost Guide
AI Integration Guide
AI Workflow Automation
ERP/CRM Development
Mobile App Development
Project Case Studies
Page updated .
Ready for a practical roadmap?
Build Your Next AI-Powered Product
Tell us about the workflow you want to improve, the data you have, and the systems you use. We’ll help you define a practical AI solution and a clear development roadmap.
Markets we serve: India, the United States, the United Kingdom, Canada, Australia, and New Zealand.
