Your business runs on language - emails, documents, reviews, tickets, contracts - and almost none of it is analyzed. Our NLP solutions turn that text into structured data, insight, and automated action.
Document extraction, sentiment analysis, ticket routing, search that understands meaning, and transcription pipelines - including the English-Nepali bilingual reality of business here.
Invoices, contracts, and forms read into structured fields automatically.
Reviews, surveys, and social mentions scored and themed at scale.
Incoming messages classified, prioritized, and routed to the right team.
Search that finds meaning, not just keywords - across all your content.
Calls and meetings transcribed, summarized, and made searchable.
English, Nepali, and mixed-language text handled properly.
We identify where AI genuinely saves money or creates revenue in your business - and where it does not.
Your data, systems, and constraints are assessed to pick the right approach and models.
A working proof-of-concept measured against real business metrics before full investment.
Production-grade AI integrated into your existing tools, workflows, and applications.
Models and automations are monitored, retrained, and refined as your data evolves.
We start from ROI, not hype. If a simple script beats a model, we will tell you.
GPT-class LLMs, open-source models, and classic ML - chosen per problem, not per fashion.
AI that plugs into the tools you already use - websites, CRMs, ERPs, and messaging apps.
Architectures that respect your data ownership, compliance needs, and customer privacy.
Start with a focused pilot from Kathmandu at a fraction of Western agency rates.
AI is not fire-and-forget. We monitor, retrain, and tune so quality never silently degrades.
NLP services are available across Nepal - with on-the-ground support in these cities - and remotely for clients worldwide. Explore more AI Services services or talk to our team about your project.
Reading unstructured documents (PDF invoices, scanned forms, contracts) into database-ready fields. Modern LLM-assisted extraction reaches high accuracy on consistent formats, with confidence scoring routing uncertain cases to human review - the hybrid keeps quality provable while eliminating most manual entry.
Yes - with realistic engineering: modern multilingual models handle Nepali well and code-switched text (how business actually writes here) reasonably, tuned further per use case. We benchmark honestly on your actual data - bilingual capability is a specialty precisely because it is undersupplied.
Themes and trajectories humans reading a sample miss: which product issues drive negative sentiment, what praise correlates with retention, and how opinion shifts after changes. Thousands of reviews, surveys, and messages become dashboards - replacing anecdote-driven decisions.
It matches meaning: "laptop battery drains fast" finds documents about "power consumption issues" despite zero shared keywords. Built on embeddings over your knowledge base, it powers both human search and the retrieval behind grounded AI assistants - one investment serving both.
Yes - speech-to-text pipelines (Whisper-class, handling Nepali-accented English and Nepali) feed summaries, sentiment, and compliance flags into searchable archives. Sales and support call analysis routinely surfaces coaching gold nobody had time to listen for.
Get a free consultation and a no-obligation quote from our team in Kathmandu.
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