What Efinix does

Efinix is a privately held fabless semiconductor company founded in 2012 by Sammy Cheung and Tony Ngai in California, focused on designing and selling FPGAs built around its proprietary Quantum compute fabric. The fabric uses eXchangeable Logic and Routing (XLR) cells that can function interchangeably as logic or routing, which the company reports yields 2X to 4X area reduction and 2X power reduction compared with traditional FPGA architectures; the second-generation Quantum fabric is implemented on TSMC's 16/12nm process. Efinix serves customers across automotive (AEC-Q100 qualified), industrial automation, communications, medical, broadcast, test & measurement, consumer, and emerging defense / secure-IoT segments, with particular emphasis on edge AI and embedded vision applications.

The company's commercial portfolio consists of three FPGA families — Titanium (high-performance, 35K to 2M logic elements, including the new Titanium Edge low-power variants and Titanium Transceiver variants with 25.8 Gbps serial links), Topaz (cost-effective 16nm family at 52K to 326K logic elements), and Trion (compact 40nm family at 4K to 120K logic elements in packages down to 3x3mm WLCSP) — complemented by the free Efinity RTL-to-bitstream software, a Sapphire RISC-V processor family (RV32 and RV64, up to four cores with optional Linux MMU and FPU), IP cores, System-in-Package modules integrating FPGA with LPDDR4/HyperRAM/flash, development kits, and application frameworks including the Edge Vision SoC (computer vision), TinyML Platform (TensorFlow Lite for Microcontrollers acceleration), and RISC-V SoC Accelerator Framework.

Efinix monetizes primarily through silicon sales via a hybrid direct-and-distribution model: direct sales offices in North America, EMEA (Germany), and JAPI (Hong Kong, India, Japan, Korea, Taiwan, Singapore, Malaysia), supplemented by global electronics distributors Digi-Key Electronics, Future Electronics, and WPG Americas. Software (Efinity) is provided under a free license model, which lowers design-in friction but shifts monetization to silicon and SiP module sales; pricing specifics are not publicly disclosed and revenue figures are not reported. Ownership remains with founders and a strategic-investor base that includes AMD (Xilinx), Samsung Venture Investment Corporation, MAVCAP (Malaysia Venture Capital Management), Hong Kong X-Tech, and other semiconductor-focused funds.

Name

Efinix

Legal name

Efinix, Inc.

Website

https://efinixinc.com

Company type

Private

Founded year

2012

Operating status

Operating

Headcount range

101–250 employees

Short description

Efinix is a privately held fabless semiconductor company that designs FPGAs on its proprietary Quantum compute fabric — Titanium, Topaz, and Trion families — supported by Efinity software, Sapphire RISC-V processors, and edge-AI frameworks, serving automotive, industrial, communications, and embedded vision markets globally.

Ownership category

akta.pro rank

Product category

Programmable Logic Devices (FPGAs)

NAICS

Semiconductor and Related Device Manufacturing (334413)

SIC

Semiconductors & Related Devices (3674)

akta.pro primary industry

Compute & Acceleration ICs (CPU/GPU/AI/FPGA/ASIC) (HDAHABAC)

akta.pro secondary industries

Programmable Logic (FPGAs/CPLDs) (HDAHAJAG), Networking & Data Center Silicon (Switch/NIC/DPU/SerDes) (HDAHABAB)

Keywords

• FPGA semiconductors
• Programmable logic devices
• RISC-V soft processors
• Edge AI computing
• Embedded vision systems

Headquarters

HQ city

Cupertino

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Hardware or Manufacturing

Cost components

Technology or R&D, Supply Chain, Personnel, Marketing or Sales, Operations, Infrastructure

Core offering

Efinix designs, manufactures, and sells FPGA (Field-Programmable Gate Array) semiconductor devices built on its proprietary Quantum fabric with eXchangeable Logic and Routing (XLR) cells, complemented by the Efinity RTL-to-bitstream development software, RISC-V soft-core processors, and application frameworks. The company serves system designers and OEMs across automotive, industrial, communications, broadcast, medical, test & measurement, and consumer markets with three FPGA families—Titanium, Topaz, and Trion—spanning logic densities from 4K to 2M logic elements.

Product overview

Efinix delivers a complete FPGA platform combining programmable hardware, embedded processing, and software tools. The product portfolio consists of three FPGA families built on the proprietary Quantum architecture: Titanium (high-performance with Ti35-Ti375, Edge variants, and Transceiver variants with up to 2M LEs), Topaz (high-volume cost-effective FPGAs with Tz50-Tz325), and Trion (compact low-power FPGAs with T4-T120 from 4K-120K LEs). Supporting the hardware are the Efinity Software (free RTL-to-bitstream development environment), Sapphire RISC-V SoC suite (configurable 32/64-bit processors), and specialized frameworks including Edge Vision SoC (for computer vision), TinyML Platform (for AI inference), and RISC-V SoC Accelerator Framework (for custom acceleration). The company also offers System in Package (SiP) solutions integrating FPGA with memory, development kits, IP cores, and reference designs for embedded systems and high-speed communications. All products support the Efinity IP Manager for configuring and adding building blocks.

Differentiator

Problem solved

Functional benefit

Products and services

• Titanium FPGAs High-performance, scalable FPGA family with logic densities from 35K to 2M logic elements built on TSMC 16/12nm with Quantum compute fabric. Designed for AI-driven mainstream applications including machine vision, automotive, industrial automation, and edge computing. Includes AEC-Q100 certification, SEU detection/correction, bitstream authentication and encryption.
• Titanium Edge FPGAs Low-power, compact FPGA series (Ti40, Ti70, Ti95, Ti125) optimized for intelligent edge systems with ultra-low static power (50% reduction), enhanced HSIO with SEU detection/correction, MIPI support up to 2.5 Gbps, and CNSA 2.0-aligned security. Designed for real-time edge applications where size, thermal efficiency, and power matter most.
• Titanium Transceiver FPGAs High-speed connectivity FPGAs with integrated transceivers supporting up to 25.8 Gbps, PCIe Gen4, and LPDDR4/4x memory controllers. Designed for communications, networking, video, and high-performance embedded systems requiring high-throughput data movement.
• Topaz FPGAs Cost-effective, high-volume FPGA family optimized for mass market applications with extra efficient architecture and commonly used protocols (PCIe Gen3, MIPI, LPDDR4, LVDS). Designed for machine vision, robotics, industrial printers, wireless repeaters, and broadcast imaging. Built on 16nm process with densities from 52K to 326K logic elements.
• Trion FPGAs Compact, low-power FPGA family built on 40nm process with logic densities from 4K to 120K logic elements. Targets general-purpose custom logic markets (mobile, IoT, consumer, industrial, medical) as well as compute acceleration and deep learning in edge devices. Available in tiny WLCSP packages down to 3x3mm.
• Efinity Software Complete RTL-to-bitstream development environment for Titanium, Topaz, and Trion FPGAs providing project management, synthesis, place-and-route, timing analysis, simulation, hardware debugging, and bitstream generation. Available as a free license with GUI and command-line interface supporting Windows, Ubuntu, and Red Hat Enterprise.
• Sapphire RISC-V SoC Suite Suite of configurable RISC-V soft-core processors including Sapphire RV32, Sapphire RV64, Sapphire RV32 Lite, and High-Performance Sapphire RV32 SoC. Ranges from tiny 4K LE footprint to 1 GHz capable hardened cores with up to 4 cores, optional Linux MMU, FPU, and custom instruction interfaces. Available in 32-bit and 64-bit variants.
• System in Package (SiP) Solutions Integrated FPGA modules combining FPGA with memory (LPDDR4/4x, HyperRAM, SPI flash) in compact packages. Current offerings include Ti125 M225S4F4, Ti135 N576D2F4, Ti180 J484D1, Ti35/Ti60 F100S3F2, and Trion T13/T20 Q100F3. Reduces PCB complexity and accelerates prototyping.
• TinyML Platform Compute acceleration platform for AI models based on TensorFlow Lite for Microcontrollers running on Sapphire RISC-V processors with Efinix TinyML Accelerator. Enables multi-model parallel inference with configurable acceleration options for various AI inference layers.
• Edge Vision SoC Framework Framework using Quantum accelerators to facilitate hardware/software partitioning for edge vision applications. Provides example designs for video processing, AI object detection, machine learning, and multi-camera fusion. First available framework in the RISC-V SoC Accelerator Framework.
• Development Kits Complete development kits for FPGA prototyping including Titanium (Ti60 F225, Ti180 J484, Ti375 N1156, Ti375 C529), Topaz (Tz170 J484), and Trion (T8, T20, T120) kits. Also includes Xyloni maker kit, MIPI CSI-2 kits, I/O expansion kits, and daughter cards for cameras, displays, and connectivity.
• Linux RISC-V SoC Linux-ready solution for Sapphire RISC-V SoC providing integrated Buildroot toolchain, automated Linux kernel tree generator, and driver examples. First in market to be Linux ready on FPGA soft processor, supporting baremetal, RTOS, and Linux solutions in a single hardware platform.
• Efinity RISC-V Embedded Software IDE Eclipse-based Integrated Development Environment powered by Ashling's RiscFree IDE for Sapphire SoC software development. Provides complete C and C++ development, editing, building, and debugging capabilities integrated with Efinity Software.

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration7 records

AI capability8 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Lattice Semiconductor: Lattice is the closest public small/medium-density FPGA competitor, also targeting low-power, edge, and industrial applications with its Avant, Certus, and MachXO families. Directly comparable in product positioning and end-market focus to Efinix's Titanium Edge and Topaz lines.
• Achronix Semiconductor: Private fabless FPGA vendor selling high-performance eFPGA IP and standalone Speedster FPGAs. Directly comparable as a privately held fabless alternative FPGA platform targeting compute acceleration and high-bandwidth workloads.
• QuickLogic: Small public fabless semiconductor company offering ultra-low-power FPGAs, eFPGA IP, and AI/voice/sensor processing SoCs. Comparable in size, business model, and end-market orientation to Efinix.

Broad incumbents

• AMD (Xilinx): Xilinx (now AMD) is the dominant FPGA incumbent and an Efinix investor. Competes across the full FPGA spectrum with Versal AI Edge, Kintex, Virtex, Spartan, and Zynq families; its roadmap and pricing decisions directly shape Efinix's market opportunity.
• Intel (Altera): Altera (re-spun from Intel in 2024) competes with Agilex, Stratix, Cyclone, and MAX FPGAs across high-performance and mainstream segments. A broad incumbent whose Stratix/Agilex lines overlap with Efinix's high-end Titanium transceivers.
• Microchip Technology (Microsemi FPGA): Microchip acquired Microsemi's FPGA portfolio (now PolarFire, IGLOO, RTG4) and competes in low-power and aerospace/defense FPGA segments. Overlaps with Efinix's AEC-Q100 / defense-certified positioning.
• Renesas Electronics: Broad-line MCU and SoC vendor that absorbs programmable logic via its acquisition of Dialog Semiconductor and Celeno, and increasingly embeds FPGA-style acceleration in microcontrollers. Adjacent incumbent competing for the same industrial and IoT sockets.

Emerging players

• Flex Logix: Focused on embedded FPGA (eFPGA) IP for SoCs. Adjacent to Efinix's RISC-V SoC and accelerator framework offerings, with comparable positioning around programmable logic in compute acceleration.
• BrainChip: Sells the Akida neuromorphic processor for ultra-low-power edge AI. Competes with Efinix's TinyML platform for the same edge-AI inference sockets, though via a fixed-function rather than programmable approach.
• Untether AI: Developer of at-memory AI inference accelerators targeting edge and data-center workloads. Part of the same edge-AI landscape where Efinix positions its TinyML and Edge Vision frameworks, and notably where Robert Beachler (now Efinix's CVP Marketing) previously worked.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/efinixinc
• GitHubgithub.com/Efinix-Inc
• YouTubeyoutube.com/@efinixinc
• LinkedInlinkedin.com/company/efinix-inc-
• Facebookfacebook.com/efinixinc

Compliance4 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles16 records

Subsidiaries1 record

Funding overview

Funding rounds2 records

Investors7 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Efinix