Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials

Funding and backers

Total raised
$35M
1 round on record
Latest round
$35M
Venture round · Nov 2025 · 10 mo ago
Team
21
US Form 5500 (plan participants) · Dec 2025 · +163% in a year
Hiring now
9
+9 posted in 30 days
Backers
3
In-Q-Tel, Samsung Next
The money's age
Fresh money
10 months since the last round · and hiring
Momentum
60/100
hiring for its size, fresh money
Last sign of life
this month
a posting or a news item
Tractionpublic signals, read monthly
Web presence
top 0.98%
of 133.2M domains by links, Common Crawl
Hacker News stories
2
best: 1 points
Funding rounds
RoundDateAmountInvestorsSource
Venture round Nov 2025 $35M — businesswire.com
Backed byfrom the funds' portfolios and accelerator catalogs
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Overview

Deploy Physical AI agents powered by Newton foundation model. Fuse sensor data, automate decisions, and build intelligent solutions for manufacturing, construction, and more.

Technologies

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Tech DNA
Python
C++
Rust
PyTorch
CUDA
Triton
AWS
Azure
GCP
LLM
ChatGPT
AI/ML
Python
C++
Physical AI
Multimodal AI
Time Series Forecasting
LLM
PyTorch
Linux
ChatGPT
Computer Vision
Machine Learning
Contrastive Learning
Self-Supervised Learning
CUDA
CUDA Toolkit
CUTLASS
KV Cache
Quantization
SGLang
TensorRT
TensorRT-LLM
Triton
vLLM
PyTorch C++
AWS
Azure
CI/CD
GCP
Kubernetes
SLI/SLO/SLA
Other
Rust
TypeScript
Go
MQTT
OPC UA
Rest API
Stack modernity Cutting-edge AI adopter
77/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Physical AI 9 jobs Required
$300k +37% vs market
Multimodal AI 5 jobs Required
$300k +18% vs market
Time Series Forecasting 5 jobs Required
Python 4 jobs Required
Rust 3 jobs Required
C++ 3 jobs Required
LLM 2 jobs Required
$300k +46% vs market
PyTorch 2 jobs Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
39%
Machine Learning
31%
AWS
29%
Kubernetes
29%
CI/CD
28%
PyTorch
28%
Share of companies in the same industry that use each technology.
Stack changes
vLLM Sep 2026
Triton Sep 2026
TensorRT-LLM Sep 2026
TensorRT Sep 2026
SLI/SLO/SLA Sep 2026
SGLang Sep 2026
Quantization Sep 2026
PyTorch C++ Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.

Salary insights

Compensation ranges based on this company's open jobs
Median
$300k
Typical range
$300k
Open positions
1
1 Jobs
Senior 100%
Level Jobs Median Typical range
Senior 1 $300k $300k
Highest paying role Enterprise Account Executive $300k
Normalized to USD per year

Growth

Hiring Momentum
83/100
Scaling fast
Open positions
9
9 opened / 0 closed in 30 days
ATS activity
Every ~7 hours
Today
Hiring Dynamics +100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
33% ▲
Product
22% ▲
Customer Success
22% ▲
Sales
11% ▲
Solutions
11% ▲
Actively hiring for AI/ML (+3 in 30 days)
Activity Timeline
+9 jobs in a week Sep 2026
Added vLLM to stack Sep 2026
Added Triton to stack Sep 2026
Added TensorRT-LLM to stack Sep 2026
Added TensorRT to stack Sep 2026
Added SLI/SLO/SLA to stack Sep 2026
Added SGLang to stack Sep 2026
Added Quantization to stack Sep 2026
Added PyTorch C++ to stack Sep 2026
Added KV Cache to stack Sep 2026
Added CUTLASS to stack Sep 2026
Added CUDA Toolkit to stack Sep 2026

Offices

Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
San Mateo
San Mateo United States
Regional office
San Mateo
7 open roles 7 posted in 90 days 43% engineering 10-50 est. staff $300k Avg Salary
hires for AI/ML, Product, Sales
seen since Sep 2026 job postings

Jobs

≈ $166k – $302k per year (Estimated) • In office • Full-Time • 6+ years exp • San Mateo
Python
Rust
C++
PyTorch C++
AI/ML
vLLM
CUDA Toolkit
Quantization
Multimodal AI
SGLang
TensorRT
TensorRT-LLM
PyTorch
Time Series Forecasting
CUDA
Triton
CUTLASS
KV Cache
Physical AI
DevOps
SLI/SLO/SLA
Linux
Apply
≈ $147k – $263k per year (Estimated) • Hybrid • Full-Time • 8+ years exp • San Mateo
Python
Go
Rust
C++
Physical AI
DevOps
Rest API
GCP
Azure
CI/CD
AWS
Kubernetes
IoT
MQTT
OPC UA
Apply
≈ $133k – $278k per year (Estimated) • In office • Full-Time • San Mateo
Time Series Forecasting
Physical AI
Apply
≈ $48k – $108k per year (Estimated) • Remote (Japan) • Full-Time • 5+ years exp
Python
Rust
TypeScript
C++
Multimodal AI
Physical AI
DevOps
Linux
IoT
MQTT
OPC UA
Apply
≈ $163k – $295k per year (Estimated) • Hybrid • Full-Time • 8+ years exp • San Mateo
Python
Multimodal AI
PyTorch
Self-Supervised Learning
Contrastive Learning
Physical AI
Apply
≈ $158k – $342k per year (Estimated) • Hybrid • Full-Time • San Mateo
Multimodal AI
LLM
Time Series Forecasting
Physical AI
Apply

Financials

Total raised
$35M
Latest round
Venture - Series Unknown
Funding rounds
1
Funding rounds
Round Announced Amount
Venture - Series Unknown 2025 $35M Details