Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials

Overview

Spectral AI, a predictive analytics company, answers clinical questions through wound imaging, artificial intelligence algorithms, and wound assessment.

Tech stack

Technologies named in job postings at Spectral Ai over the last 12 months, by layer, with the share of postings for each.
Technologies in use
16
Postings analysed
4
Stack modernity
68/100
Languages
Python
Frameworks & libraries
PyTorch
TensorFlow
Cloud & platforms
AWS
Azure
Linux
Windows
Sign in to see how your skills match this stack Sign In
Full Spectral Ai tech stack 16 technologies · by team · pay by technology · changes · similar stacks

Growth

Hiring Momentum
28/100
Slowing
Open positions
4
0 opened / 0 closed in 30 days
ATS activity
Every ~4 hours
10/22/2026
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.
Data Science
33% ▲
Finance
33% ▼
Industrial Engineering
33% ▲

Offices

Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Dallas
Dallas United States
HQ
Let’s Talk
4 open roles 3 posted in 90 days 50% engineering
hires for Data Science, Security, Finance
2515 McKinney Avenue, Ste. 1000, Dallas, Texas 75201, United States
seen since Dec 2025 company site, job postings

Jobs

≈ $94k – $179k per year (Estimated) • In office • Full-Time • 2+ years exp • Master's Degree • Dallas
Python
Quantization
Computer Vision
ONNX
TensorRT
TensorFlow
PyTorch
Machine Learning
Apply
≈ $83k – $159k per year (Estimated) • Hybrid • Full-Time • 3+ years exp • Bachelor's Degree • Dallas
Azure
AWS
Linux
Windows
VPN
Cybersecurity
ISO 27001
OWASP Dependency-Check
OWASP Top 10
STRIDE
CWE
Threat Modeling
SBOM
Mandiant capa
MedTech
CAPA
Apply

Financials

Total raised
$3M
Latest round
Grant
Funding rounds
4
Funding rounds
Round Announced Amount
Grant 2024 $1.6M Details
Grant 2018 $974k Details
Grant 2018 $252k Details
Grant 2017 $150k Details