
SiFive
Your Trusted Partner for RISC-V IP
San Jose, United States · Founded 2015 · $765.5M raised
- Headquarters
- San Jose, California
- Employees
- 501–1000
- Founded
- 2015
- Business Model
- B2B
- Website
- sifive.com
- Total Funding
- $765.5M
- Last Round
- $400.0M Series CApr 2026
- Rounds
- 13
About
SiFive is the leading commercial provider of RISC-V processor IP, founded by the inventors of the RISC-V open-standard architecture. The company delivers customizable, high-performance scalar, vector, and matrix compute cores for markets including AI/ML, automotive, edge computing, IoT, and data centers. SiFive enables semiconductor and systems companies to build differentiated chips faster by licensing proven, power-efficient RISC-V IP with supporting software stacks and development tools.
Summary
SiFive is an Artificial Intelligence company based in San Jose, United States, founded in 2015. It has raised $765.5M in total across 13 rounds, most recently a $400.0M Series C round in Apr 2026. Investors include Sutter Hill, Coatue Management and Spark Capital.
Tech & App Stack
9 technologies & apps tracked
Create a free account — 10 credits a month to unlock the full tech & app stack, funding history, and valuations.
Sign up to view the funding chart
Create a free account — you'll get 10 credits a month to unlock funding history, valuations, and tech stacks.
Funding History
Apr 2026
Sign up to see all 13 rounds
Full funding history, per-round amounts, and investor participation.
Investors
Similar Companies

AI hardware company building wafer-scale processors for deep learning training and inference
Provides AI inference hardware and cloud platform for enterprises, using RDUs and SambaCloud to r...
Cursor is the best way to code with AI, and built to make you extraordinarily productive.
Groq delivers fast, low cost AI inference using custom LPU (Language Processing Unit) chips and G...

UiPath is an AI-enhanced end-to-end automation platform.
ML inference infrastructure for deploying and serving AI models at scale, performantly and cost-e...

