A modular, open platform for designing, simulating, and deploying non-invasive brain–computer interfaces.
The Modular Non-Invasive BCI Engineering Platform is an open, AGPL-3.0+ neuroengineering framework designed to unify the fragmented landscape of EEG-based brain–computer interface development into a single modular system. Instead of treating hardware, software, and machine learning as separate domains, the platform integrates them into a layered architecture where wearable devices, hardware drivers, signal processing pipelines, and decoding models all operate as interchangeable components within a shared neural computing environment. This allows researchers and developers to move from raw brain signal acquisition to real-time applications without rebuilding infrastructure for each new device or experiment.
At its core, the system is built around a Neuro Kernel that manages real-time brain signal ingestion, normalization, and streaming across multiple devices. Wearable modules abstract different EEG and biosignal devices into a standardized interface, while hardware modules handle low-level communication with physical sensors. Above this layer, machine learning systems interpret neural data for tasks such as motor imagery decoding, attention tracking, and cognitive state estimation. The architecture is designed to be hardware-agnostic, enabling consistent behavior across consumer-grade headsets, research systems, and future neuro-sensing devices.
A key differentiator of the platform is its Hardware Development Center (HDM Core), which enables simulation-first hardware engineering. This allows developers to design and test neurohardware virtually before physical implementation, reducing iteration time and improving system reliability. Complementing this is the Sleep and Dream Module System, which extends the platform into sleep-state analytics, REM detection, and neural recovery modeling, treating sleep as a continuous extension of cognitive state processing rather than an isolated domain.
The system also incorporates a Legal Assurance Module (LAM Core) that evaluates hardware and software designs against prior art and patent landscapes. This introduces a structured compliance and risk analysis layer that helps reduce intellectual property conflicts while maintaining AGPL-3.0+ transparency requirements. Together, these components form a unified ecosystem for building, testing, and deploying non-invasive brain-computer interface technologies in a modular, reproducible, and legally-aware framework.
This specification is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+) and may be used freely with required attribution under Section 7. A Specification Branding License is available for attribution-free deployments, with fees based on usage, scope, and deployment size.

Specification Repository:
- Modular Non-Invasive BCI Engineering Platform – A modular open neuroengineering framework for designing, simulating, and deploying non-invasive brain–computer interface systems through wearable, hardware, ML, sleep, and legal assurance layers.
Specification Pricing:
| Network Size | # of Users | One-Time Price | Duration |
| Small | 1 – 20 | Custom Quote | Perpetual License |
| Medium | 21- 1000 | Custom Quote | Perpetual License |
| Large | 1001 + | Custom Quote | Custom Quote |

