diff --git a/README.md b/README.md
index b3db6fe..abeab93 100644
--- a/README.md
+++ b/README.md
@@ -4,6 +4,44 @@ OpenMP-parallel numerical kernel library for Python.  Pre-built
 Linux and Windows binaries included; no compilation required at
 install time.
 
+## What is this for?
+
+`sem_cython12` is a small, focused toolbox of fast C-level routines
+exposed through a thin numpy wrapper.  It is not a general-purpose
+numerical library; it accelerates three specific jobs that are
+awkward or slow to do in pure numpy once `N` reaches the thousands:
+
+1. **Similarity / distance over batches of vectors.**  Full
+   pairwise distance matrices, nearest-neighbour distances, and
+   kernel-based `[0, 1]` similarity scores of a query set against
+   one or many reference sets.  Useful for nearest-neighbour
+   search, kernel-density-style scoring, and "how close is each
+   query to this concept?" lookups.
+2. **Multi-objective ("best-tradeoff") filtering of score matrices.**
+   Given a matrix of `N` candidates × `k` criteria, select the
+   rows on the Pareto frontier, isolate rows that only spike on a
+   single criterion, and recover the rows that contribute
+   meaningfully across several criteria - candidates a naive
+   sum-of-scores ranker would miss.
+3. **An incremental aggregation primitive** for streaming
+   clustering / frontier-expansion algorithms: a fused bulk update
+   that, given `F` running summaries (centre + radius) and `A`
+   new contributions, produces all `F·A` updated summaries in one
+   parallel pass.
+
+The kernels release the GIL, scale near-linearly to ~8 OpenMP
+threads on commodity x86, and operate on shared-memory numpy
+arrays with no inter-process serialisation.  The Python wrapper
+handles contiguous-float64 casting and degrades loudly (via
+`available()` / `backend()` plus `RuntimeError`) when the compiled
+extension cannot load on the host - there is no slow pure-Python
+fallback path.
+
+The [`demos/`](./demos/) directory contains three runnable
+end-to-end examples (Iris boundary discovery, parameter-free
+anomaly detection, multi-criteria candidate selection) that
+exercise these three jobs against well-known baselines.
+
 ## Contents
 
 - `sem_cython12/sem_core12.cpython-312-x86_64-linux-gnu.so` -