Converge Digest · Hot Start-ups

Semiconductor Hot Start-ups

The emerging companies our editorial team is tracking most closely — ordered by how hot we judge them right now. Rankings shift as funding, products and customers become public.

50 of 50

Etched

San Jose, California, USA Gavin Uberti

Transformer-specific inference ASICs

FuriosaAI

Seoul, South Korea June Paik

Data-center inference accelerators

d-Matrix

Santa Clara, California, USA Sid Sheth

Digital in-memory inference

Tenstorrent

Santa Clara, California, USA Jim Keller

AI accelerators, RISC-V CPUs and chiplet architectures

SambaNova Systems

Palo Alto, California, USA Rodrigo Liang

Dataflow AI accelerators and full-stack systems

Rebellions

Seongnam, South Korea Sunghyun Park

AI inference NPUs and rack-scale infrastructure

Positron AI

Reno, Nevada, USA Mitesh Agrawal

Memory-centric inference accelerators

MatX

Mountain View, California, USA Reiner Pope

LLM training and inference accelerators

Fractile

London, United Kingdom Walter Goodwin

Inference silicon and memory architecture

NextSilicon

Tel Aviv, Israel Elad Raz

Reconfigurable dataflow accelerators and RISC-V CPUs

Eridu

San Francisco, California, USA Forrest Norrod

AI-native switching silicon and network systems

Upscale AI

Santa Clara, California, USA Barun Kar

Scale-up and scale-out AI networking

Enfabrica

Mountain View, California, USA Rochan Sankar

Accelerated compute fabric silicon

Xsight Labs

Kiryat Gat, Israel Guy Koren

Data-center Ethernet switch silicon

Baya Systems

Santa Clara, California, USA Sailesh Kumar

Network-on-chip and chiplet fabric IP

Eliyan

Santa Clara, California, USA Ramin Farjadrad

Die-to-die and chiplet interconnect

TYLSemi

Santa Clara, California, USA Mohit Gupta

Open-standard connectivity chiplets

Ventana Micro Systems

Cupertino, California, USA Balaji Baktha

Data-center RISC-V CPU chiplets

Akeana

Santa Clara, California, USA Rabin Sugumar

Licensable RISC-V CPU IP

Axelera AI

Eindhoven, Netherlands Fabrizio Del Maffeo

Energy-efficient inference accelerators

SiMa.ai

San Jose, California, USA Krishna Rangasayee

ML system-on-chip and PCIe inference cards

EnCharge AI

Santa Clara, California, USA Naveen Verma

Analog in-memory AI acceleration

NeuReality

Caesarea, Israel Moshe Tanach

AI inference infrastructure and network-attached processing

Pliops

San Jose, California, USA Uri Beitler

Data-processing and storage acceleration

Axiado

San Jose, California, USA Gopi Sirineni

Security processors and infrastructure control

Majestic Labs

Los Altos, California, USA Ofer Shacham

Memory-first AI accelerators and servers

Oxmiq

Campbell, California, USA Raja Koduri

Licensable AI compute and chiplet IP

HyperAccel

Seoul, South Korea Joo-Young Kim

LLM Processing Units

XCENA

Seongnam, South Korea Jin Kim

CXL computational memory

Panmnesia

Daejeon, South Korea Myoungsoo Jung

CXL, UALink and Ethernet link silicon

ZeroPoint Technologies

Gothenburg, Sweden Klas Moreau

Memory compression IP and accelerators

Speedata

Tel Aviv, Israel Jonathan Friedmann

Analytics and database acceleration

Rain AI

San Francisco, California, USA William Passo

Analog compute-in-memory AI acceleration

Mythic

Austin, Texas, USA Dave Rick

Flash-based analog compute-in-memory

Innatera

Delft, Netherlands Sumeet Kumar

Neuromorphic mixed-signal processors

VectorWave

Boston, Massachusetts, USA Ben Taylor

Neuromorphic analog processing of RF signals

mmTron

Redwood City, California, USA Seyed A. Tabatabaei

Millimeter-wave MMICs

Finwave Semiconductor

Waltham, Massachusetts, USA Pierre-Yves Lesaicherre

GaN-on-silicon RF devices

Falcomm

Atlanta, Georgia, USA Edgar Garay

High-efficiency RF power amplifiers

Eridan

Sunnyvale, California, USA Omid Tahernia

Direct-polar-modulation radio silicon

Qualinx

Delft, Netherlands Mark Waas

Digital RF and ultra-low-power receivers

EdgeQ

Santa Clara, California, USA Vinay Ravuri

5G base-station SoCs

Picocom

Bristol, United Kingdom Peter Claydon

Small-cell and Open RAN baseband silicon

Morse Micro

Sydney, Australia Michael De Nil

Wi-Fi HaLow silicon

HaiLa Technologies

Montreal, Canada Derek Kuhn

Ultra-low-power Wi-Fi and backscatter connectivity

Atmosic Technologies

Campbell, California, USA David Su

Energy-harvesting Bluetooth and low-power wireless SoCs

AmberSemi

Dublin, California, USA Thar Casey

Vertical power delivery for AI processors

iDEAL Semiconductor

Lehigh Valley, Pennsylvania, USA Mark Granahan

Advanced silicon power MOSFETs

Wise Integration

Hyères, France Thierry Bouchet

GaN power ICs and digital power control

Akash Systems

Oakland, California, USA Felix Ejeckam

GaN-on-diamond RF and power semiconductors

Know a company that belongs on this list — or corrections to an entry? Tips are welcome.