Our Products

eYe for z/OS

A productivity framework of and for z/OS environments.

eYe is designed to assist developers inside 3270 terminal workflows, without introducing IDEs, GUIs, or external tooling dependencies.

It focuses on improving speed, accuracy, and confidence while preserving existing enterprise controls, standards, and compliance boundaries.

Key capabilities

• -In-terminal contextual assistance — guidance is provided directly within the 3270 session, without switching screens, tools, or environments.
• -Zero workflow disruption — eYe works with existing development practices and standards; no changes to host applications or operational procedures.
• -Enterprise-safe by design — respects security, compliance, and governance constraints and avoids introducing external dependencies in regulated environments.

Patent-pending • Validation phase

MEU

An enterprise knowledge operating system for governed intelligence.

MEU enables organisations to access, reason over, and trust internal knowledge through a controlled conversational interface—without polluting source systems or breaking governance boundaries.

Key capabilities

• -Knowledge-first, chat-second architecture — organisational knowledge is the foundation; conversational interfaces are the delivery mechanism.
• -Strict separation of authoritative, personal, and ephemeral context — maintains boundaries between governed, user-specific, and transient knowledge.
• -Built for auditability, compliance, and scale — every interaction is traceable, governance constraints are enforced, and systems grow without degradation.

Patent-pending • Validation phase

UnifAI

A unified interaction layer for multi-model AI collaboration.

UnifAI orchestrates multiple AI systems through a single, coherent interface—allowing users to compare, debate, and converge on outcomes without managing models, prompts, or tooling complexity.

Key capabilities

• -Multi-agent, multi-model coordination — seamlessly manage conversations across different AI systems and reasoning approaches.
• -Conversation-led workflows, not prompt engineering — users focus on outcomes; model selection and interaction are handled intelligently.
• -Tiered access and enterprise-ready controls — role-based permissions, audit trails, and compliance reporting built in from the foundation.

Patent-pending • Validation phase

SOUL

A long-term research initiative exploring stable artificial cognition.

SOUL is an ongoing research effort focused on building a non-hallucinatory, self-consistent digital intelligence substrate—prioritising structure, stability, and learning over prediction.

Research focus

• -Substrate-first approach to intelligence — foundations precede applications; structure enables reliability.
• -Language-agnostic and rule-complete foundations — cognition mechanics independent of representation; all reasoning paths explicitly defined.
• -Exploratory, iterative, and open-ended by design — research-grade investigation without productisation constraints.

Exploratory • Non-productised