SiMa.ai

SiMa.ai

No-code platform for edge ML development

About SiMa.ai

Simplify's Rating
Why SiMa.ai is rated
B+
Rated B on Competitive Edge
Rated A on Growth Potential
Rated B on Rating Differentiation

Industries

Enterprise Software

AI & Machine Learning

Company Size

201-500

Company Stage

Late Stage VC

Total Funding

$260M

Headquarters

San Jose, California

Founded

2018

Overview

SiMa.ai focuses on making machine learning accessible through a no-code, drag-and-drop programming environment for developing edge ML applications. Users can visually create and deploy machine learning solutions without needing to write code, which opens up the technology to a broader audience. The core of SiMa.ai's offering is its MLSoC (Machine Learning System on Chip), a specialized chip designed for machine learning tasks that operates at the edge, close to data sources. This setup minimizes latency and enhances processing speed. SiMa.ai generates revenue by selling its MLSoC silicon and providing access to its no-code development platform, catering to individual developers and businesses alike. Additionally, the company supports its users with a developer portal, expert consultation services, and a partner program aimed at fostering AI innovation in edge computing, particularly in computer vision.

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Simplify's Take

What believers are saying

  • Growing interest in no-code platforms supports SiMa.ai's user-friendly ML development environment.
  • Projected 34.1% CAGR in edge computing market aligns with SiMa.ai's focus on edge ML.
  • Demand for energy-efficient AI solutions benefits SiMa.ai's low-power MLSoC silicon.

What critics are saying

  • Emergence of biological computing presents competition to SiMa.ai's silicon-based AI chips.
  • Increased competition in edge AI market could challenge SiMa.ai's market position.
  • Confidentiality issues in partnerships could pose risks if not managed properly.

What makes SiMa.ai unique

  • SiMa.ai offers a no-code, drag-and-drop ML development platform for edge applications.
  • The company's MLSoC silicon is specifically designed for low-power edge computing tasks.
  • SiMa.ai's strategic collaborations enhance its position in automotive edge AI solutions.

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Funding

Total Funding

$260M

Above

Industry Average

Funded Over

3 Rounds

Late VC funding comparison data is currently unavailable. We're working to provide this information soon!
Late VC Funding Comparison
Coming Soon

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

7%
VentureBeat
Apr 8th, 2025
Announcing The 2025 Product 50 Award Winners!

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. In an increasingly uncertain global market, product and growth leaders have a greater effect than ever on a company’s success, impacting not only business growth, but making business transformation possible. Amplitude’s Product 50 Awards were launched as a way to recognize and celebrate product and growth leaders globally whose innovation and creativity are shaking up their companies, disrupting their industries and changing the world.Selecting the Product 50Now in its third year, the Product 50 call for nominees garnered nearly 600 nominations across ten categories, and the final list of nominees and winners represents nine countries across four continents. From each of the ten categories, leaders were selected by a panel of industry judges:. Francois Ajenstat, Chief Product Officer, Amplitude Sara Rossio, Chief Product Officer, G2Carlos Gonzalez de Villaumbrosia, Founder CEO, Product SchoolAdrienne Tan, Co-founder CEO, BrainmatesTimo Dechau, Founder, Deepskydata

VentureBeat
Mar 18th, 2025
Gpus Go Biological: Bbb Unveils Bionode, Lab-Grown, Living Neuron Compute For Ai Applications

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Graphics processing units (GPUs), the expensive computer chips made by the likes of Nvidia, AMD and Sima.ai, are no longer the only way to train and deploy artificial intelligence.Biological Black Box (BBB), a Baltimore-founded startup developing a new class of AI hardware, has emerged from stealth with its Bionode platform—a computing system that integrates living, lab-grown neurons with traditional processors. The company, which has been operating quietly while filing patents and refining its technology, believes its biological computing approach — growing new neurons specifically to act as computer chips using donor human stem cells and rat-derived cells — could offer a low-power, adaptive alternative to conventional GPUs.“Over the last 20 years, three independent fields—biology, hardware, and computational tools—have advanced to the point where biological computing is now possible,” said Alex Ksendzovsky, BBB’s co-founder and CEO, in a video call interview with VentureBeat.A member of Nvidia’s Inception incubator, BBB is positioning itself as an advancement and augmentation to the dominant silicon-based AI chips that Nvidia and others produce. By leveraging neurons’ ability to physically rewire themselves, the company aims to reduce energy costs, improve processing efficiency, and accelerate AI model training—challenges that have become increasingly urgent as AI adoption expands.This isn’t sci-fi, despite the incredible premise: BBB’s neural chips are already powering computer vision and LLMs for customers, and have entered talks with two partners to license its tech for computer vision apps — though the company declined to name its customers and partners specifically, citing confidentiality agreements. It is accepting inquiries from prospective partners and clients, as well, on its website.Blending biology and hardwareAt the core of BBB’s approach is the Bionode platform, which uses lab-grown neurons wired into computing systems.“We have multiple models that we use,” Ksendzovsky told me

Sima.ai
Mar 18th, 2025
SiMa.ai Recognized on Fast Company's Annual List of the World's Most Innovative Companies for 2025

SiMa.ai recognized on fast company's annual list of the world's most innovative companies for 2025.

Gyaniki
Mar 11th, 2025
SiMa.ai Unveils Breakthrough System-on-Module for Edge AI Applications

SiMa.ai unveils breakthrough System-on-Module for edge AI applications.

Technology AI Insights
Mar 10th, 2025
SiMa.ai Unveils MLSoC Modalix Module to Boost Multi-Modal and Gen AI at the Edge

SiMa.ai, the software-centric, embedded edge machine learning system-on-chip (MLSoC) company, announced its first system-on-module (SoM) featuring the MLSoC Modalix 50 TOPS device.

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