Modular Deterministic Model Flow Systems
Tidepoint Analytics’ MDMF Systems mark our first full-scale offering to the open market. Developed in response to growing concerns in the AI sector such as sustainability, reliability, and model hallucination, MDMF Systems provide a new paradigm in intelligent computing.
Rather than relying on a single, general-purpose model to handle all tasks, the MDMF System deploys a modular network of smaller, purpose-built models coordinated by an agentic operator. This modular design allows the system to scale with intention, enabling seamless expansion and targeted functionality.
By tuning each model to operate with deterministic precision where appropriate, MDMF Systems dramatically reduce hallucinated outputs, improve consistency, and lower energy consumption. Tidepoint is ushering in a more reliable and sustainable approach to AI deployment, through a joint software and hardware development cycle.
Hardware offering
The MDMF Systems Hardware Unit is a standalone, plug-and-play solution designed for business clients seeking a secure, efficient, and customizable AI development environment. Built for teams that prioritize data control and operational independence, the unit provides everything needed to develop, refine, and deploy modular AI models. It operates without dependence on external servers or third-party platforms, making it ideal for environments where privacy, speed, and reliability are essential.
Each unit includes preinstalled MDMF software with a modular interface that allows businesses to build task-specific micro-models, fine-tune them using proprietary or internal data, and link them to an agentic operator that manages execution and coordination across models. The dedicated hardware ensures consistent performance, local processing, and enhanced data protection by keeping everything on-device. IT teams have full access to tools for model versioning, sandbox testing, and role-based permissions.
With onboard compute power and encrypted storage, the hardware version of MDMF enables organizations to scale their AI operations securely and efficiently. Whether used in research labs, financial modeling, or workflow automation, it gives teams the ability to deploy AI solutions tailored to their specific needs while maintaining control over their infrastructure. Combined with optional enterprise support and fleet management tools, MDMF offers a dependable foundation for modular and agentic AI adoption.
Render of MDMF-S Core-Actual Hardware is Subject to Change
Software offering
The MDMF Systems App is a powerful downloadable software platform designed for individual users who want to create, refine, and deploy personalized AI models without needing enterprise-level infrastructure. Tailored for developers, analysts, and advanced enthusiasts, the app provides an intuitive environment to build small, purpose-driven models based on specific tasks such as data categorization, conversational assistance, or predictive logic.
At the core of the app is a visual and modular development environment that allows users to train or import micro-models using their own data or preconfigured templates. These models can be edited, benchmarked, and tested within a low-resource sandbox before being linked to the central agentic operator. Users retain full control over how each model interacts, layering levels of autonomy and determinism to ensure performance aligns with their specific use cases.
Once deployed, models are integrated into the user’s local MDMF network and can grow in complexity over time. The app includes versioning tools, performance metrics, and optional cloud synchronization for collaboration or secure backup. With a focus on transparency and energy efficiency, MDMF empowers users to move away from black-box general intelligence toward a more customizable, trustworthy, and sustainable AI experience.
