Our deployable solutions are not isolated scripts, but integrated applications that follow three primary deployment paths. These paths guide our own roadmap, partner solutions, and external integrations, all aligned with the official documentation, exposed resources, and supporting tools. Access for custom, third party implementations is provided progressively: first to approved early testers and registered developers, and later through publicly documented interfaces. Interactive demos and preview applets published on our site will be released early to interested participants, so staying up to date via our newsletter and announcements is the best way to gain priority access.

Dedicated Enterprise Suites

Preconfigured, production ready modules as software designed for high impact sectors.
Represent typical three types of deployment

Abstract visualization of SIGMA Enterprise Tooling
Σ.1.ex / SIGMA.1.EXE

Enterprise Tooling

Unified development platform and workflow automation engine that turns complex data and AI capabilities into customizable, production ready business processes. It handles data processing, analysis, TTS/STT integration. Built for mid to large scale operations with LLM-to-LLM orchestration. It also connects seamlessly with robotics and Physical AI pipelines, enabling unified control over both digital and real world processes.

Use Case: Automating supply chain approvals with real time exception handling, generating compliance ready financial reports, orchestrating robotic warehouse operations and autonomous mobile robots (AMRs), and coordinating cross system data flows for enterprise wide decision support.

Industries: Logistics, Finance, Manufacturing, Healthcare, Energy, Robotics & Automation.

Abstract visualization of LAMBDA Intelligent Chatbot
Λ.2.ch / LAMBDA.2.CHT

Intelligent Chatbot

Code generation, content creation, tool integration reduced hallucinations, maintained contex, and consistent quality. Solves the frustrations of today's LLM. Leverages Autonomous Finders, next generation multi agent systems. It leverages multimodal fusion and agentic evolution, enabling seamless transitions between text, vision, and intent driven actions across integrated environments.

Use Case: Support automation with empathetic case handling, visual troubleshooting via image/video analysis, code generation for technical queries, content creation, document read, real time recommendations using vision AI, and seamless escalation with full context preservation.

Industries: E‑commerce, SaaS Support, Telecommunications, Healthcare, Retail, Financial Services, Education.

Abstract visualization of PSI AI Companion
Ψ.3.ev / PSI.3.EVO

AI Companion

Personalized assistant for business or personal use. Acts as collaborator, helper, tutor. Ideal for education, research support, entertainment, or daily productivity adapting to individual needs over time, offering robust security backed by learning from interactions. It incorporates emotion detection and intention forecasting, allowing proactive support that anticipates needs before they are explicitly stated.

Use Case: Executive cognitive assistant managing schedules, briefing with contextual reminders, personalized tutors for adaptive learning, lifestyle coordinating tools for smart home and wearables, emotional wellness coach coordinating physical support through humanoid robots.

Industries: EdTech, Executive Coaching, Lifestyle Management, Smart Home, Wellness, Gaming.

Integrated Development Ecosystem

Dedicated enterprise suites represent the primary paths for adopting and evolving our architecture, but they are not the only way to build on top of it. These three development tracks are designed to support external software integration, allowing teams to extend capabilities, embed intelligence into their own products, and create entirely new solutions that remain aligned with the core suites. Compatibility, supported features, and version alignment between these suites and integrated applications are continuously documented and updated in the technical documentation and release notes. While the three primary paths below represent our core architectural pillars, they serve as a foundation for a much broader spectrum of possibilities. We provide a dedicated resource layer for each solution, enabling the development of sophisticated external applications through multiple integration vectors:

Dedicated API Access:

Interface existing systems with our modules via high performance endpoints. While sharing a unified core, each solution provides specialized functions and methods tailored to its specific operational domain.

LLM-Powered Generator:

Deploy independent, high-performance solutions using our autonomous engine. Gain access to optimized libraries with full support for mobile, web-based, OS-independent GUI, console, and smart device environments.

Reference Implementations:

Accelerate workflows with source available, ready to compile example applications. Designed for deep modification, these templates provide a head start for custom business logic and UI requirements.

Our solutions are not standalone scripts: they are integrated applications running within the AILOJZ Orchestrator Environment. This ensures that every tool from enterprise workflow automation to personal companions benefits from centralized security, shared memory context, and the deep emotional intelligence of ANIXAI. AILOJZ manages the "heavy lifting" (resources, security, API routing), allowing these dedicated solutions to focus purely on business logic and data human (user) interaction. The result is a unified AI ecosystem where intelligence, emotion, and execution are aligned by design integrated by default, modular by intent, and never forced into isolation unless it serves the system (scaling or controlled separation when needed).

Supporting Modules

Auxiliary "sub-modules" designed to enhance specific workflows within the ecosystem, supporting dedicated functionality.

OMEGA.Data.Sync

High Throughput ETL

A lightweight, specialized module for real time data synchronization between legacy SQL databases and the ANIXAI Vector Vault. Ensures AI solution always works with the latest inventory and user records without manual reindexing. Upon ingestion, raw or semi structured outputs from upstream AI components (e.g. vision, audio, language models) are dynamically triaged by a metadata aware post-routing implementation

DELTA.Secure.Gate

Fact Oriented Bastion

A security supporting "layer" that validates, sanitizes, and interprets inbound data before it reaches the AILOJZ pipeline especially ANIXAI. It detects and inteligently sanitize prompt injection attempts, embedded hidden instructions, psychological manipulation patterns, encoded payloads, context spoofing attacks and much more.
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07 Autonomous Finders

Tool

The 07 Autonomous Finders are human like agentic AI units designed for resource discovery and task execution in complex digital environments. Unlike conventional agents optimized purely for speed, they prioritize behavioral fidelity and interaction naturalness by leveraging human mimetic mechanisms, such as OCR, remote desktop streaming, GUI interaction, and contextual awareness to navigate systems as a human would. While intrinsic efficiency is secondary to quality and realism, their integration with classical agentic AI pipelines enhances both performance and authenticity. These Finders operate in parallel instances under the orchestration of CONSULTANTS (in AILOJZ), enabling scalable, supervised autonomy. The architecture supports dynamic task decomposition and environment adaptation, making them ideal for workflows requiring nuanced, human-aligned digital labor. Their output feeds into higher level reasoning layers while maintaining traceable, interpretable interaction logs.
check documentation for more updates

CONSULTANTS

07 Finders Upper Layer

The CONSULTANTS layer serves as the orchestrator and cognitive manager for the 07 Autonomous Finders, integrating them with Retrieval Augmented Generation (RAG), Model Control Protocol (MCP), and the proprietary 6L Memory system a six tier hierarchical memory architecture that optimizes resource access, context retention and computational load. CONSULTANTS dynamically allocate tasks to Finders, curate their operational memory, and align their actions with strategic objectives derived from long term context. It maintains coherence across sessions by managing cross modal knowledge states and ensuring semantic consistency between live actions and stored experience. hile autonomous in execution coordination, CONSULTANTS operates under the supervision of AILOJZ, which defines mission parameters, routes external system requests, and integrates outcomes into broader ANIXAI and other modules workflows.
check documentation for more updates