Where a use case repeats across businesses, we package it — a clear scope, a known shape of work and a measurable outcome. Each solution still begins with a pilot and is delivered security-first, with your data kept inside your environment.
Extracts, classifies and validates data from invoices, forms, contracts and reports at scale. The mechanical reading is automated; people review only the exceptions, with a full audit trail.
An LLM copilot grounded in your own knowledge base. It drafts replies, triages incoming tickets and surfaces the right answer — your agents stay in control and approve every response.
Natural language processing tuned for Bangla and code-mixed Bangla-English text — classification, entity extraction, sentiment and search that work on how your customers actually write.
Forecasting models for demand, inventory and capacity planning, built on your historical data. Clear confidence ranges so planners can see how much to trust each number.
A fixed-scope audit of your data, workflows and team readiness. You receive a ranked roadmap of AI opportunities — and an honest verdict where AI is not yet the right move.
A retrieval-augmented knowledge assistant grounded in your documents, policies and institutional knowledge. Answers cite their sources, and document-level access control stays enforced.
None of the above quite fits? The build line takes on bespoke AI projects — start with a readiness audit and we will scope the right solution from there.
