Optophi Engine

Composable infrastructure for governed data, decisions, and execution.

Optophi is the technical counterpart to Evidfi: eight specialized Python libraries plus pygubernator orchestration—contracts, state, optimization, synthetic data, analytics, risk, and control—wired into one traceable engine for automated operations.

Policy-gated execution from governed data through optimization to the control plane.

Risk, security, and contract layers so automation stays visible and defensible.

Eight domain packages coordinated by pygubernator into one holistic service surface.

System Pipeline

How the Optophi engine operates

Four layers move from contracts and synthetic data through lifecycle and optimization, analytics and features, to risk-aware execution. pygubernator orchestrates handoffs across them so operators see one coherent workflow.

01

Contracts, ontology, and synthetic data

Governed contracts and ontologies align with synthetic and ML-ready datasets so generation stays schema-safe and explainable.

02

Lifecycle and optimization

Deterministic state machines and optimization models turn policy and objectives into concrete, replayable decisions.

03

Rules, analytics, and features

Business rules, analytics, and engineered features translate raw state and data into decision-grade signals.

04

Risk, security, and controlled execution

Risk and security gates precede execution—the control layer that connects approved intent to the outside world.

Open Source Ecosystem

Packages maintained by Optophi

Each library owns a clear concern; together they form a production-grade stack, with pygubernator relaying data and sequencing work across services.

pycharter

Data contracts, validation, and ontology

governance

Data contracts management: schema validation, transformations, and ontology building so downstream systems share one governed semantic layer.

Open docs

pystator

Deterministic state-machine lifecycles

state

State machine management for operations: deterministic lifecycle control, explicit transitions, and safeguards so every phase stays accountable.

Open docs

pyoptima

Optimization engine and modeling toolkit

modeling

Optimization and modeling toolkit for objectives, constraints, and allocation-style problems across the engine.

Open docs

pycatalyst

Synthetic data and model lifecycle

data

Synthetic data generation plus model training and management—realistic datasets and ML workflows without weakening contract or policy boundaries.

Open docs

pyalbedo

Business rules, analytics, and features

intelligence

Business logic and rules management: analytics, feature engineering, and decision-ready signals built on governed data and state.

Open docs

pyfortis

Risk and security management

security

Risk and security management: policy bounds, threat-aware checks, and enforcement before capital or actions leave the controlled perimeter.

Open docs

pyactuator

Control plane and external interface

execution

Control system for executing actions and orders—the bridge between Optophi’s ecosystem and brokers, venues, and external systems with auditability.

Open docs

pygubernator

Central workflow orchestration

orchestration

Coordinates workflows end to end: relays data between services, sequences domain packages, and delivers a single holistic service surface to operators and applications.

Open docs