AI Development Company in India for Enterprise AI
SDLC Corp is an AI development company in India delivering production-ready AI applications for enterprises and growing businesses. Our AI development services in India cover machine learning, generative AI, AI agents, computer vision, enterprise integration and governed deployment. We build around your data and systems, support English, Hindi and other Indian languages, and plan hosting and human review from the start.
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AI development services for Indian enterprises
Build the AI tools your team needs. Start with one clear task and grow from there.
Built for your teams across India
Plan AI around the languages your users speak, the systems your staff use and the data you need to protect.
English, Hindi and Indian language AI
Build assistants and document tools for English, Hindi and the regional languages your users need. Test mixed language input, local terms and dialects on real tasks before launch.
Connections to your business systems
Connect AI to ERP, CRM, finance and logistics tools. Use approved files and live data so answers fit the work your teams do.
Indian cloud and private hosting
Use supported cloud regions in India, your own cloud or private systems. Choose hosting based on data needs, speed, access rules and workload.
Data protection and human review
Plan access, logs, data use and human checks from the start. Review applicable data protection requirements with your legal team and give each part of the workflow a clear owner.
AI use cases for Indian businesses
Start with a task where better answers, faster checks or clearer forecasts can help your team.
Multilingual customer and staff support
Help customers in English, Hindi and other required languages. Use retrieval-augmented generation (RAG) to answer staff questions from approved policies, manuals and internal knowledge sources. Hand complex or sensitive requests to a person.
Logistics, retail and demand forecasting
Forecast stock and demand from business data. Help logistics teams plan routes, review shipment files and spot delivery issues before they grow.
Manufacturing and visual inspection
Use computer vision to check products and packaging. Help teams spot defects, plan maintenance and review supplier quality.
Finance, healthcare and document workflows
Read invoices, forms and KYC files. Flag unusual activity for review and help healthcare teams with notes and routine work. Keep people in charge of sensitive decisions.
AI by business function
AI for the teams that run your business
Apply AI to a defined workflow, connect it to approved business data and keep ownership with the team responsible for the outcome.
Operations
Automate document-heavy work, exception handling, classification, scheduling and operational analysis across day-to-day processes.
Finance
Support forecasting, invoice processing, reporting, reconciliations and controlled analysis while keeping sensitive decisions reviewable.
Customer Service
Build multilingual assistants that answer from approved knowledge, classify requests and hand complex or sensitive cases to people.
Sales
Support lead qualification, account research, meeting summaries and CRM follow-ups using data your commercial teams already manage.
IT
Use AI for internal support, enterprise search, ticket triage and service workflows with access controls and auditable system connections.
Product Teams
Add AI capabilities to software products with measurable quality, user feedback, monitoring and clear fallbacks when confidence is low.
AI solutions for key industries in India
Choose a use case that fits your sector and the way your teams work.
Retail and logistics
Help retail teams plan stock and tailor recommendations. Support logistics with route planning, shipment documents and delivery forecasts.
Manufacturing and financial services
Check product quality with computer vision. Help banks, lenders and insurers review KYC files, unusual activity and service requests.
Healthcare and education
Support care teams with notes and routine tasks. Help teachers plan lessons, review assessments and build learning paths. Keep professionals in charge.
SaaS and enterprise operations
Add AI features to SaaS products. Help HR, finance and support teams find approved answers, read documents and carry out routine work.
Client projects
AI projects for Indian business workflows
Explore document automation for Liladhar Pasoo, agricultural mapping for Mama Drones and intelligent document processing for Transworld’s logistics workflows.
AI document automation · India
AI Invoice Processing for Liladhar Pasoo
Automated invoice-email processing reduced manual effort by 90%, runs on a 15-minute cycle and achieved 100% SKU routing accuracy in the published case study.
- 90% manual effort eliminated
- 15m cycle · 100% routing accuracy
Computer vision · Aurangabad, India
AI Agriculture Mapping for Mama Drones
The MamaApp case study documents 3 user roles, a 4-layer architecture and 3 user-tested delivery phases across drone mapping, GIS, AR visualization and service workflows.
- 3 user roles
- 4 architecture layers · 3 delivery phases
Logistics AI · Indian and global operations
AI Document Processing for Transworld
The published Transworld case study reports processing time improving from 48 hours to 4 hours, with error rate reduced from 4–5% to 0.1%.
- 48h → 4h processing
- 4–5% → 0.1% error rate
Enterprise AI architecture
AI that connects to the systems your teams already use
Your AI application should not sit beside the business. It should connect models, approved data, system APIs, validation and monitoring into one controlled operating flow.
Deliver through web apps, enterprise software, internal portals, mobile applications or APIs.
Use the right model for the task and give it only the approved business information required for that workflow.
Connect ERP, CRM and operational systems, apply deterministic checks and track latency, errors, usage and outcomes.
Security and AI governance
SDLC Corp is SOC 2 certified and holds ISO 27001 and ISO 9001 certifications. For India deployments, plan security and governance alongside the Digital Personal Data Protection (DPDP) Act, 2023 and the phased DPDP Rules, 2025, plus any sector-specific requirements that apply to your data and use case.
Access and secure data handling
Limit who can access data and tools. Keep logs, protect sensitive files and agree retention rules.
India data protection planning
The Digital Personal Data Protection (DPDP) Rules, 2025 were notified on 13 November 2025. Rule 4 on Consent Managers commences on 13 November 2026, while most operational rules for organisations—including Rules 3, 5–16, 22 and 23—commence on 13 May 2027. Review which provisions apply with your legal team and plan notice, consent, security, retention and rights processes around your data use.
Industry specific requirements
Healthcare, payments and regulated financial services can need extra controls. Agree which requirements apply to your data and systems before the build starts.
AI Model Evaluation, Monitoring and Governance
Test model quality, errors and drift. Use risk management practices informed by NIST AI RMF and relevant ISO guidance. Add human checks where errors could cause harm.
AI technology built around your needs
Choose models and tools based on your task, data and deployment plan.
Machine Learning and Computer Vision Development
Build with Python, PyTorch, TensorFlow and scikit-learn where they fit the task. Test the model against representative data.
LLM and RAG Development
Use LLMs such as OpenAI, Claude, Gemini or Llama where suitable. Build RAG workflows that connect answers to approved sources and test retrieval quality, faithfulness and citation accuracy.
Data and system integration
Work with platforms such as PostgreSQL, Snowflake and Databricks. Connect systems through secure APIs.
Cloud Deployment and MLOps
Deploy on AWS, Azure, Google Cloud or private infrastructure. Use MLOps practices, Docker, Kubernetes, monitoring and repeatable release checks where needed.
From discovery to operation
How We Build and Deploy AI in India
Set the goal, build the tool and test it with your team.
Goal Discovery
Agree what the AI needs to do. Set the scope, users and goals so the team knows what success looks like.
Data Assessment
Check your data and who can use it. Plan where to host the tool and how to keep data safe.
Model Development
Build and evaluate the selected models, prompts, retrieval workflows or AI agents against representative business tasks and agreed quality metrics.
Integration & Deployment
Link the tool to your systems. Check access, speed and results before it goes live.
Ongoing Optimization
Track how the tool works over time. Agree how to fix faults, keep it up to date and support your staff.
Why SDLC Corp
Why enterprises choose us for AI development in India
Build the AI capability, application, integration and operating controls as one production system rather than a disconnected proof of concept.
Complete AI delivery
Bring model work, application engineering, integrations and deployment into one delivery plan with clear ownership.
Specialist AI teams
Use focused expertise across machine learning, language AI, RAG, agents, computer vision and generative AI when the workload needs it.
Enterprise integration
Connect AI with ERP, CRM, databases, document systems and operational software instead of leaving it isolated from real work.
Model flexibility
Select commercial, open or custom models according to quality, hosting, data access, cost and operational constraints.
Production evaluation
Test AI against representative business scenarios and agreed quality measures before launch, then continue checking it in production.
Human oversight
Keep people involved where judgment, authorization, sensitive data or accountability require a clear review and escalation path.
Choose how to start your AI project
Compare four ways to start: discovery and roadmap, a focused AI build, an enterprise AI programme, or AI modernisation. Choose the scope based on the workflow, systems, data, governance and outcome your team needs.
Discovery and roadmap
Scope: identify the strongest use cases, assess data and system readiness, review risk and define success measures. Outcome: a prioritised roadmap and a clear first implementation target.
Focused AI build
Scope: build one AI capability for a defined workflow, test it with representative data and connect it to the systems required for real work. Outcome: a validated solution with a production rollout path.
Enterprise AI programme
Scope: extend AI across multiple teams or workflows with shared architecture, data controls, access rules, evaluation and governance. Outcome: an enterprise AI foundation with clear ownership and operating standards.
AI modernisation
Scope: add AI to existing applications and workflows, prepare the required data and integrate new capabilities with the way teams already work. Outcome: modernised systems with governed AI features and a maintainable operating model.
Independent client reviews
What Indian clients say
Published feedback from businesses in Pune and New Delhi. Read the project details and full reviews on Clutch.
Clutch · ERP and AI development
Rajesh U Gaikwad
Overall, we were very satisfied with the engagement.
- Founder, Quantus-Technik · Pune, India
- 3 June 2026 · Review rating 4.5/5
Established client feedback · Website development
Abhishek Chauhan
Their willingness to go additional steps for client satisfaction has impressed me the most.
- Founder and CEO, Full House Bakery · New Delhi, India
- 23 June 2021 · Review rating 5.0/5
Want results like these?
Tell us what you want to improve and we will show how a similar solution could work for you.
Discuss a Similar ProjectGlobal client stories
Additional client stories from international engagements, complementing the India-specific reviews above.
Eric Leist
CEO, Edgerton Strategies
Doug Schmidt
CEO, Roofaid USA
Reyzal Razmi
All Star Influencers
They approached our Salesforce discovery with real technical depth, uncovered structural gaps others missed, and delivered a solution that worked exactly as promised.
From planning to post-launch, SDLC Corp guided us every step of the way. Their support makes them more than a vendor. They're a trusted partner.
Ready to start your AI project?
Talk to our AI team about scope, timelines and the right first step.
Get a Free ConsultationAI development in India: your questions answered
Answers to common questions about AI development services in India.
What AI development services do you offer in India?
As an AI development company in India, we build machine learning, computer vision, generative AI, AI assistants and document tools. We also connect them to your business systems and support them once they are live.
Can you build AI applications for Indian enterprises?
Yes. Our engineering teams are based in India. We build around your data, systems, users and hosting needs, from one workflow to a wider AI platform.
Can AI support Hindi and other Indian languages?
Yes. We build for English, Hindi and other Indian languages where needed. We test local terms, dialects and mixed language input. Results vary by model and task, so each language needs its own checks.
How does India’s DPDP framework affect AI projects?
Plan how personal data is collected, used, stored and shared. Review notice, consent, retention, access and individual rights with your legal team. The DPDP framework has phased commencement, so check which requirements and dates apply to your project.
Can AI systems use cloud regions in India?
Yes. AI can run in supported Indian cloud regions or private systems. Choose hosting based on data needs, speed, security and workload.
Can you integrate AI with our ERP or CRM?
Yes. We connect AI through APIs so it can read approved data, send updates and help staff complete tasks in the tools they already use.
How much does AI development cost in India?
Cost depends on the task, data, systems, models and hosting needs. We review your scope before giving you an estimate.
How long does an AI development project take?
Timing depends on the scope, data and systems involved. We agree a plan after discovery. A focused trial can help you check value before a wider launch.
Do you build generative AI, LLM and RAG applications in India?
Yes. We build generative AI applications, LLM-powered assistants and RAG systems that connect responses to approved business content. We evaluate retrieval quality, answer accuracy and human-review requirements before production rollout.
Do you provide MLOps and ongoing AI model monitoring?
Yes. We support model deployment, release checks, monitoring, drift review, evaluation and ongoing optimization so production AI systems can be maintained as data, models and business requirements change.
Start your AI project
Discuss your AI project in India
Tell us what your team needs AI to do. Share the tools you use and where your data must stay. We will review your needs and plan the next step.
- A call to discuss your goals
- A review of data, systems and hosting
- A plan that fits your scope
Share a brief outline of your project. We can discuss an NDA before you send private files.
Further reading
Practical guidance for planning AI
Plan an enterprise AI roadmap, evaluate answer quality and learn how to operate models, RAG systems and AI applications in production.
GuideEnterprise AI Roadmap: Use Cases, Guardrails, and ROI
How to prioritise AI use cases, set guardrails and measure ROI.
Read article
GuideEnterprise Conversational AI: Voice, Chat and Workflow
How voice, chat and workflow automation fit together in one assistant strategy.
Read article
GuideHow to Evaluate RAG Systems
Measuring retrieval quality, faithfulness and citation accuracy before launch.
Read article
GuideML CI/CD and Model Deployment Pipelines
How models move from training into production with repeatable checks.
Read article