Simplismart Company Profile, Contacts & Intelligence

Software DevelopmentSan Francisco, California, United States23 employeesFounded 2022
Employees
23
Company source estimate

Simplismart Overview

Fastest inference for generative AI workloads. Simplified orchestration via a declarative language similar to terraform. Deploy any open-source model and take advantage of Simplismart’s optimised serving. With a growing quantum of workloads, one size does not fit all; use our building blocks to personalise an inference engine for your needs. ***API vs In-house*** Renting AI via third-party APIs has apparent downsides: data security, rate limits, unreliable performance, and inflated cost. Every company has different inferencing needs: *One size does not fit all.* Businesses need control to manage their cost <> performance tradeoffs. Hence, the movement towards open-source usage: businesses prefer small niche models trained on relevant datasets over large generalist models that do not justify ROI. **Need for MLOps platform*** Deploying large models comes with its hurdles: access to compute, model optimisation, scaling infrastructure, CI/CD pipelines, and cost efficiency, all requiring highly skilled machine learning engineers. We need a tool to support this advent towards generative AI, as we had tools to transition to cloud and mobile. MLOps platforms simplify orchestration workflows for in-house deployment cycles. Two off-the-shelf solutions readily available: 1. Orchestration platforms with model serving layer: *do not offer optimised performance for all models, limiting user’s ability to squeeze performance* 2. GenAI Cloud Platforms: *GPU brokers offering no control over cost* Enterprises need control. Simplismart’s MLOps platform provides them with building blocks to prepare for the necessary inference. The fastest inference engine allows businesses to unlock and run each model at performant speed. The inference engine has been optimised at three levels: the model-serving layer, infrastructure layer, and a model-GPU-chip interaction layer, while also enhanced with a known model compilation technique.

Headquarters
San Francisco, California, United States
Industry
Software Development
Founded
2022
NAICS
Software Publishers

Simplismart Contact Intelligence

See which contact channels and departments are represented in the visible AeroLeads data.

Simplismart People & Org Chart Preview

Sample people records show job titles and whether email or phone data is available without exposing raw contact details.

Simplismart Workforce Composition

Seniority breakdown across 4 visible profiles.

Individual contributor
3
Executive
1

Compare Similar Companies to Simplismart

Explore companies in related markets and compare their industry and employee estimates.

Company Industry / match Employee estimate Page
Accel Venture Capital And Private Equity Principals 1.23K View company
Convin Software Development 208 View company
Beco Consumer Goods 165 View company
All In Capital Venture Capital And Private Equity Principals 99 View company
Sphere Labs Financial Services 37 View company
Counsel Health Hospitals And Health Care 31 View company
Yuma AI (YC W23) Technology, Information And Internet 22 View company
SkySQL Software Development 20 View company
SimplySmart Software Development Not listed View company