Every business generates enormous volumes of unstructured text — customer emails, support tickets, social media comments, contracts, survey responses — that carries real signal but is too slow for a human team to read at scale. Natural Language Processing turns that text into structured, usable insight automatically: which customers are unhappy, what topics dominate support tickets this week, which contracts contain a specific clause, what a survey response actually means once you strip away the noise.
We build NLP systems tailored to the language your business actually operates in — including English and Swahili, and code-switched text that mixes both, which is common across Kenyan digital communication and which generic off-the-shelf NLP tools handle poorly. Our work spans document classification, sentiment analysis, named entity recognition, text summarisation, and language generation, always built around a concrete business use case rather than as a standalone research exercise.
What's Included
- Sentiment analysis pipelines for reviews, social media, and customer feedback
- Document classification systems to automatically route or tag incoming text
- Named entity recognition to extract names, amounts, dates, and locations from unstructured documents
- Text summarisation tools to condense long documents or conversation threads
- Multilingual support for English, Swahili, and mixed-language text
- Integration into your existing helpdesk, CRM, or internal tools via API
Our Process
Who This Is For
- Customer service teams drowning in support tickets or social media mentions
- Organisations that need to process contracts, forms, or documents at scale
- Businesses wanting automated sentiment tracking across reviews and social channels
- Media, research, or NGO organisations processing large volumes of Swahili or mixed-language text
- Any team currently reading and tagging text manually that could be automated
Why DollarEdge
- Genuine Swahili and code-switched language capability, not just English-only tools rebranded
- Built around your specific business use case, not a generic demo
- Integrates directly into the tools your team already uses daily
- Explainable outputs your team can trust and verify, not an opaque black box
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