Built for codebases that exceed any single context window by orders of magnitude. Where agents go blind, the engine sees a smooth manifold.
Topaas // Topology-as-a-Service · est. MMXXVI
Laplace ENGINE
The spectral graph engine for legacy code. We compute the topology of large software systems and hand the structure to the AI agents that will rebuild them.
ℒ { codebase } ⟶ Lv = λv ⟶ agent-ready spectrum
01 The Shape of Code
Coding agents see tokens.
Engineers see files.
A codebase is a manifold.
Functions, modules, and data flows form a high-dimensional simplicial complex with measurable topology — homology, fundamental group, spectrum. Most of what makes legacy systems hard is invariant under refactoring. We compute the invariants.
Ingest
Raw code · symbols · runtime traces · commit history
C = ⋃i fi
Lift to a graph
Build the dependency complex G = (V, E) and weight edges by behavioural coupling.
G ↪ K(C)
Compute the Laplacian
Diagonalise L = D − A. The spectrum encodes clusters, bottlenecks, and the true seams of the system.
L vk = λk vk
Hand to the agent
Structured intelligence — components, intent, behavioural commitments, risk surfaces — at a scale no context window can hold.
spec(L) → 𝒜
02 Field Operators
Three invariants we hold quietly, for now.
We extract the spectrum of the Laplacian — clusters, connectivity, bottlenecks, components. The unit of work becomes the eigenmode, not the line.
Software deforms over time. We track the system up to homotopy — keeping the topology coherent as code, intent, and behaviour drift.
The same operator — Laplace's — runs through signal processing, graph theory, Riemannian geometry, and quantum mechanics. We brought it to legacy software.
03 Transmit
Quiet, not closed.
Investors, prospective design partners, engineers who think about software as a topological object — write to us.