AI, ML & Data Science
Natural Language Processing
Understand, classify and summarise text and speech at scale — in English, Hindi and other Indian languages.
Understand, classify and summarise text and speech at scale — in English, Hindi and other Indian languages.
Emails, reviews, support tickets, call recordings and contracts are full of signals that no team has time to read in full. NLP lets you route, tag, summarise and search them automatically.
We combine modern language models with classic, efficient techniques where they are cheaper and more predictable, and we evaluate every system on samples of your real text before rollout.
Understand, classify and summarise text and speech at scale — in English, Hindi and other Indian languages.
Examples of problems this capability solves for our clients.
Classify and route incoming requests to the right team instantly.
Monitor customer mood across reviews, surveys and social channels.
Transcribe and summarise calls for quality and compliance.
A staged approach that proves value early and keeps risk under control.
We confirm the business problem, the data available and how success will be measured before any model is chosen.
A time-boxed prototype on your real data shows what accuracy and impact are achievable.
Secure APIs, integration with your applications, automated testing and human-in-the-loop controls.
Drift, accuracy and cost are tracked in production, with scheduled retraining and reviews.
Straight answers to what clients ask us most.
Yes, including Hindi and mixed Hindi-English text, depending on the task and available data.
Yes, combined with OCR from our computer vision practice.
AI projects usually draw on several of these disciplines together.
Take models from notebooks to reliable, monitored production services — with repeatable training and safe releases.
Statistical analysis, forecasting and modelling that answer the questions leadership is actually asking.
Find the AI use cases worth funding, plan the architecture, and prove value quickly before scaling.