Home — Contrexis

Built for how investment teams actually operate

Data

Your data stays local

Runs in your environment. Position data never leaves your infrastructure. No cloud dependency, no third-party data exposure.

Pricing

Transparent pricing

Simple per-seat pricing. No module gating, no slot limits, no negotiation. The same rate for every client.

Adoption

Low friction implementation

No implementation project, no consultants, no multi-month onboarding. Map your data, configure constraints, and run.

Objectives

Multi-objective optimization

Tracking error, factor exposure, mean-variance, tax loss harvesting, or compound objectives. Declare what you want.

Constraints

Real constraint density

Issuer limits, sector and rating bands, maturity buckets, DTS budgets, turnover caps, semi-continuous weights. All simultaneously.

Contracts

Flexible terms

Quarterly commitment, 2-week cancellation notice. No annual lock-in, no exit penalties.

Semiconductors, logistics, energy, airlines — they solve complex discrete optimization with heuristic methods because exact solvers cannot keep pace.

Finance is the outlier, still using 1950s convex solvers. Contrexis brings the methods that run chip fabs and power grids to portfolio construction.

Semiconductors

Fabrication scheduling

Metaheuristics manage thousands of process steps across wafer lots with conflicting tool constraints.

Logistics

Fleet routing

Genetic algorithms and ant colony optimization route global fleets across dynamic constraints daily.

Energy

Grid management

Hybrid evolutionary methods balance load, generation, and transmission constraints in real time.

Aviation

Flight scheduling

Airlines solve crew pairing and fleet assignment with hybrid heuristic methods at continental scale.

Telecommunications

Network design

Evolutionary algorithms optimize frequency assignment and tower placement across complex terrain.

Finance

Portfolio construction

Contrexis. The same class of methods, applied where they have been conspicuously absent.