AI Development Services in India
Build production AI applications for Indian enterprises across machine learning, language AI, automation, computer vision and enterprise workflows. We design AI around your business data, existing applications, users and deployment requirements, with support for multilingual experiences and India-specific data considerations.
- India-based engineering and delivery teams
- Hosting on AWS, Azure and Google Cloud regions in India
- English, Hindi and Indian-language AI experiences
Brands We've Helped Transform with AI
Security, Quality and Compliance Standards
SDLC Corp is SOC 2 certified and operates certified ISO 27001 information-security and ISO 9001 quality-management systems. Company-wide delivery figures and the frameworks we design AI projects around are shown below.
Company-wide figures across all SDLC Corp delivery, not India-only numbers.
Company Assurance
Company-level certifications covering how SDLC Corp manages security and quality.
Privacy and Industry Requirements
Solutions designed to support applicable DPDP obligations and GDPR requirements, with HIPAA-aligned controls for healthcare and payment workflows designed around applicable PCI DSS requirements.
AI Governance Frameworks
Risk-management practices informed by the voluntary NIST AI Risk Management Framework and ISO/IEC 23894 guidance, with AI governance aligned with ISO/IEC 42001 principles.
Which frameworks apply depends on geography, industry, the data processed, the deployment model, the use case and your own legal and regulatory obligations. Not every framework applies to every project.
AI for Indian Enterprises
What changes when AI is built for Indian organizations: language, existing systems, hosting, data protection and scale.
Multilingual Users
Support English, Hindi and additional required Indian languages based on the model, domain and evaluation requirements.
Enterprise Systems
Build AI around ERP, CRM, finance, logistics and custom systems already operating inside the business.
India Cloud Regions
Where appropriate, use supported Indian cloud regions or private infrastructure based on latency, security, residency and workload requirements.
Data Protection
Design around applicable India data-protection obligations from the first architecture decision.
Scale
Support projects ranging from focused workflow automation to enterprise AI platforms.
Data Protection in India
Our teams can design AI systems to support applicable obligations under India's Digital Personal Data Protection framework, subject to the organisation's specific processing activities, policies and legal requirements. AI applications handling personal data can be designed around:
- Purpose limitation
- Data minimisation
- Retention rules
- Consent and notice processes where applicable
- Appropriate access controls
- Auditability and secure data handling
This is architecture guidance, not legal advice. Final compliance decisions remain with your legal and compliance teams.
AI Development Services for Indian Enterprises
Part of our global AI development services. Each capability below links to its dedicated service page with the full scope, architecture and delivery approach.
Forecasting, risk scoring, anomaly detection and optimisation models built on your operational data.
English, Hindi and Indian-language text understanding, extraction, classification and summarisation.
Image and video analysis for inspection, safety and retail analytics, plus document OCR.
Private and fine-tuned large language models for enterprise knowledge, drafting and workflow tasks.
Assistants that answer from your approved documents, policies and data sources, with citations.
Copilots, document generation and internal assistants with review and approval controls.
Governed AI agents that carry out multi-step tasks across enterprise systems under human oversight.
Multilingual assistants for websites, WhatsApp and internal service desks, connected to your systems.
Use-case prioritisation, readiness assessment and roadmap planning before the build starts.
Multilingual AI for India
Many Indian customers and employees prefer to read, write and speak in languages other than English, so multilingual support is planned from the first design decision.
English and Hindi
Chatbots and assistants that handle English and Hindi conversations on web, mobile and WhatsApp, with handoff to human agents.
Regional Languages
Other Indian languages, such as Tamil, Telugu, Bengali or Marathi, scoped per use case where required.
Code-Mixed Input
Many users mix languages in one message, such as Hinglish, so models are tested on mixed and transliterated text.
Multilingual Enterprise Assistants
Internal assistants that answer employee questions across languages from approved knowledge sources.
Document Processing
Extraction, classification and summarisation for documents in English and Indian languages.
Language-Specific Evaluation
Quality measured separately for each language and use case using representative examples.
Language quality depends on the model, domain, terminology, dialect and target user population. Each required language should be evaluated using representative examples before production deployment.
Discuss a Multilingual AI Use CaseAI Use Cases for Indian Businesses
Practical AI use cases for Indian organizations across financial services, retail, logistics, manufacturing, healthcare and public-facing services, including multilingual customer experiences.
Fraud and Anomaly Detection
Real-time scoring of transactions, claims and operational events to flag unusual activity for review.
Visual Inspection
Computer vision that checks products, packaging and assets for defects and safety issues.
Demand Forecasting
Forecasts for sales, inventory and capacity built from historical and live business data.
Document Intelligence
Extraction and classification of invoices, contracts, KYC files and forms using OCR and NLP.
Customer Service Automation
Multilingual assistants that resolve routine queries and hand complex cases to your team.
Enterprise Knowledge Assistants
Assistants that answer employee questions from approved policies, manuals and internal data.
AI for Key Industries in India
AI solutions shaped by the sectors that drive India’s economy, from banking and fintech to retail, logistics, telecom and healthcare.
Clinical documentation, triage support and operations forecasting, with security and privacy controls aligned with applicable HIPAA requirements where US healthcare data or regulated workflows are involved.
Credit risk, fraud detection, KYC processing and multilingual service for banks, NBFCs and insurers, with payment integrations designed around applicable PCI DSS requirements.
AI in Retail and E-commerce
Personalisation, demand forecasting, catalogue enrichment and Indian-language customer support for high-volume online retail.
AI in Logistics
Route planning, delivery exception prediction, warehouse forecasting and shipment document automation.
AI in Manufacturing
Visual inspection, predictive maintenance, production planning and supplier quality analytics.
AI in Education
Personalised learning paths, assessment support and multilingual content for education platforms.
AI in SaaS and Technology
AI features for SaaS products, support automation, usage analytics and churn prediction.
Knowledge assistants, workflow automation and document processing for shared services, HR and finance operations.
Selected AI Work
Published SDLC Corp AI projects for global clients, shown as examples of how we take AI from model to production.
AI Defect Detection in Auto Production
42%fewer false positives after a vision model was connected to the conveyor PLC for live screening, with unplanned stoppages down eight minutes per shift.
Read the case study Graph AnalyticsFraud Detection for Online Gaming
30%more collusion detections from real-time graph analytics on bet timing, stake size and shared IP ranges, with manual reviews cut by half.
Read the case study Generative AIGenerative AI for Margin Trading
40%higher trading desk profit after a generative AI simulator began ranking trades by risk-adjusted return.
Read the case studyAI Technology We Build With
A compact view of the frameworks, models and platforms used across our AI projects.
AI and ML
Language AI
Data and Integration
Infrastructure
Our AI Development Process
Seven stages with a clear checkpoint after each, so one use case is proven before it scales.
Discover
Define the business problem, users, success measure and constraints.
Assess
Review data availability, quality, systems and data-protection requirements.
Design
Choose the model approach, architecture, hosting and human review points.
Build
Develop models, prompts, pipelines and interfaces against representative data.
Integrate
Connect AI to ERP, CRM and operational systems through secure APIs.
Deploy
Release to production with monitoring, access controls and rollback.
Improve
Track quality, drift and outcomes, then retrain and tune as needs change.
Why Work With SDLC Corp on AI in India
Engineering depth, integration experience and security practices that carry AI from pilot to production.
Enterprise AI Engineering
Production-grade AI built for reliability, monitoring and long-term maintenance.
Specialist AI Teams
Engineers across machine learning, language AI, computer vision, data and MLOps.
Existing-System Integration
AI connected to the ERP, CRM, finance and custom platforms you already run.
Cloud, Private or Hybrid Deployment
Hosting chosen according to data sensitivity, latency and security requirements.
Multilingual Engineering
English, Hindi and Indian-language experiences evaluated per language.
Production Evaluation
Quality, cost and drift measured before and after launch.
Security and Compliance Engineering
SOC 2, ISO 27001 and ISO 9001 certified, with project architectures designed around applicable requirements such as DPDP, GDPR, HIPAA and PCI DSS where relevant.
AI Planning and Implementation Resources
Guides for planning, evaluating and running AI in production.
Enterprise AI Roadmap: Use Cases, Guardrails, and ROI
How to prioritise AI use cases, set guardrails and measure ROI.
Read the guide
Enterprise Conversational AI: Voice, Chat and Workflow
How voice, chat and workflow automation fit together in one assistant strategy.
Read the guide
How to Evaluate RAG Systems
Measuring retrieval quality, faithfulness and citation accuracy before launch.
Read the guide
ML CI/CD and Model Deployment Pipelines
How models move from training into production with repeatable checks.
Read the guideScale AI Across India with a Trusted Partner
Plan your AI roadmap in India with a team that covers strategy, engineering, integration and long-term support.
Contact Us
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- 24/7 Experts Support
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- sales@sdlccorp.com
- +1(510-630-6507)