Extract Intelligence from
Text at Enterprise Scale
Azure AI Language (formerly Text Analytics + LUIS + QnA Maker) is Microsoft's unified NLP service — providing sentiment analysis, key phrase extraction, named entity recognition, PII detection, Conversational Language Understanding (CLU), custom text classification, and question answering via REST APIs. SchwettmannTech implements Azure AI Language for Indian enterprises building multilingual customer analytics, support automation, compliance document processing, and conversational AI applications.
Azure AI Language Implementation Services
Our certified NLP engineers build custom Azure AI Language models and integrate them into your Dynamics 365, Power Platform, and custom applications.
Complete Capability Coverage
Our certified team covers every facet of this service — from strategy and implementation to managed operations and continuous optimisation.
Unified Language Intelligence
Azure AI Language unifies six NLP capabilities — sentiment, NER, key phrases, PII, CLU, and Q&A — under a single API endpoint, billing model, and management console. No more managing separate LUIS, Text Analytics, and QnA Maker resources.
- Single API Endpoint
- Unified Billing
- Consistent Auth
- One Management Console
Indian Language NLP
Azure AI Language supports Devanagari, Tamil, Telugu, Kannada, Bengali, and Gujarati scripts for sentiment analysis, NER, and key phrase extraction. CLU supports Hindi and regional Indian languages for conversational understanding — critical for India-market applications.
- Hindi Sentiment
- Tamil NER
- Telugu CLU
- Multi-script Support
PII & DPDP Compliance
PII detection identifies 40+ personal data types including India-specific entities (Aadhaar, PAN, IFSC codes). Redaction removes or masks PII before storage or downstream processing — creating DPDP Act compliant text processing pipelines.
Power Platform Native
Azure AI Language integrates with Power Automate via built-in connectors — no code needed for sentiment tagging, entity extraction, and PII redaction in document processing flows. Power Apps canvas apps call Language APIs directly for real-time text analysis.
Customer Intelligence
Aggregate sentiment and opinion mining results in Power BI — tracking sentiment trends by product, region, channel, and time period. Surface the specific aspects driving satisfaction or dissatisfaction for targeted business action.
CLU for Bot & IVR
CLU is the NLU backbone for Copilot Studio bots and Azure Bot Service applications — providing more accurate intent recognition than the previous LUIS service, with support for overlapping intents, ambiguous utterances, and code-switched Hindi-English text common in Indian enterprise contexts.
Hours Not Months
Custom NLP model training in Azure AI Language takes hours, not the weeks or months required for building equivalent models from scratch. Custom text classifier: training on 100 labelled examples completes in under 2 hours. Custom NER: 200 labelled entities trains in 3–4 hours.
Our Azure AI Language Delivery Process
From labelling your training data to production NLP integration — typically 1–3 weeks.
Azure AI Language for Indian Industries
NLP solutions deployed for Indian language content and India-specific compliance requirements.
SchwettmannTech has trained custom Azure AI Language models on Indian enterprise datasets: GST/tax document entity extraction (GSTIN, HSN codes, tax amounts), Indian legal document clause classification (RERA, IBC), code-switched Hindi-English sentiment analysis for customer feedback, and CLU models for Hindi IVR applications with regional accent variation. PII detection extended with custom India-specific patterns: Aadhaar, PAN, IFSC, EPIC (Voter ID), and passport number formats.
Proven Results: Azure AI Language Results
Outcomes from SchwettmannTech's Azure AI Language implementations across Indian enterprises.
What Our Clients Say
"SchwettmannTech built a custom CLU model for our Hindi and English contact centre IVR. The model understands Indian English accents, code-switching between Hindi and English, and our 34 specific service intents with 96.2% accuracy — far beyond the generic LUIS models we tried previously. IVR containment rate improved from 42% to 71%."
"We process 15,000 customer emails a day in Hindi and English. Azure AI Language's custom text classifier now automatically routes them to the right team with 94% accuracy — billing queries, technical issues, complaints, and general enquiries. Manual triage time dropped from 3 hours to 15 minutes daily. The DPDP PII redaction pipeline runs on every email before it's stored in D365."
"Our legal team reviews hundreds of contracts a week. SchwettmannTech's custom NER model extracts parties, effective dates, payment terms, penalty clauses, and governing law from contract PDFs — populating D365 fields automatically. Contracts that took 45 minutes to log now take 3 minutes of human review. The model handles Indian legal language including references to Indian acts and court jurisdictions."
Common Azure AI Language Questions
Have an NLP use case? Our language AI specialists provide free feasibility assessments including data requirements and expected accuracy benchmarks.
Talk to an NLP SpecialistAdd NLP Intelligence to Your Enterprise Applications
Book a free Azure AI Language Discovery Call. We'll assess your text data, demonstrate CLU or sentiment analysis on your samples, and deliver an NLP implementation plan.