# Trustable Hardware > We believe a computer should be safe to use, and this starts with a > safe processor. # The Mission - to provide a libre, secure and transparently developed hybrid CPU VPU GPU architecture to the world. - to maximize the degree of trust a customer or user can place in products using our processor designs. - through significantly reduced product development costs and time to market, incentivise mass volume appliance manufacturers to ensure that end-users of their products enjoy the same level of access to full Board Support Package source code and Reference Designs that they have, including for the processor hardware design. - to disincentivise Tivoisation, the deployment of DRM and other lockout techniques that interfere with end-user trust in the products that they legitimately own. To accomplish this we: - use collaborative techniques - operate entirely transparently - invite developers and experts around the world to contribute without NDAs - invite inventors to contribute relevant patents to patent pools (OIN) # The Means: - provide the customer the **freedom to study, modify, and redistribute** the full SoC source, from HDL, through BIOS, boot loader, to drivers and OS. - engage in **full transparency** at every level of the development, right from the inception through to delivery of silicon. no exceptions. - listen to **constructive input** from world-leading industry experts, engineers and enthusiasts alike, in real-time, without NDAs creating artificial barriers to communication and hampering success. # The Market: - chromebooks - smartphones - tablets - industrial boards - single-board computers (like the Raspberry Pi) - wearables - CV capable flight controller for lightweight drones - whatever you want # The Products: - our first target (Dec 2020): a single-core dual-issue 180nm 64-bit "demo" QFP chip that will also be a saleable product in the "Embedded" space (Arduino, STM32F, Ingenic jz4720). - a full quad core SoC: 800mhz, dual issue, 4-wide FP32, Hybrid CPU / GPU / VPU [and later an ML inference core], comparable to the Allwinner 64 in capability. - Products based on customer - and client - driven needs and requirements