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Top 17 Shan Dian Alternatives, Competitors & Similar Software

Founded 2014

Find 20 competitors in the Image Recognition Software. Compare other SaaS such as Railmonitor, apic.ai and NexaStack AI. These 17 Shan Dian competitors have raised - and together serve more than - customers and employ over 85 team members.

Compare 17 Shan Dian with Railmonitor
1Railmonitor logo
Railmonitor

Image Recognition Software

Provider of a cloud-based railway traffic monitoring platform. The company's cloud-based platform stores, tracks, organizes and monitors railway traffic data for forecasting traffic conditions to help passengers receive updates about railway timings, emergency cancellations and similar transport related issues.

Revenue
$437.3K
Customers
-
Year founded
2015
Funding
-
Team size
9
Location
Denmark
Compare 17 Shan Dian with apic.ai
2apic.ai logo
apic.ai

Image Recognition Software

apic. ai is a leading specialist in the field of automated pollinator monitoring. Our monitoring technology quantifies the behaviour of insects such as bees and bumblebees. The application of computer vision technology enables us to detect even small effects of substances, agricultural practices, and environmental...

Revenue
$440K
Customers
-
Year founded
2018
Funding
-
Team size
4
Location
Germany
Compare 17 Shan Dian with NexaStack AI
3NexaStack AI logo
NexaStack AI

Image Recognition Software

Nexastack AI is a Compound AI System for Autonomous Decision-making, with AI vision at the Edge and Visual AI Agents. XAI Platform provides a Composable platform for On-Device Intelligence, Vision AI , Autonomous Visual recognition, and Autonomous Surveillance using Composite AI , Language Vision Models, LLMs, SLMs...

Revenue
$440K
Customers
-
Year founded
2023
Funding
-
Team size
4
Location
United Kingdom
Compare 17 Shan Dian with Molfar.AI
4Molfar.AI logo
Molfar.AI

Image Recognition Software

Molfar. AI is automating the costly, tedious and error-laden process of CCTV underground sewer pipe inspections by combining Machine Vision with Artificial Intelligence to automatically detect the faults in the pipes and generate a standardized CCTV Sewer Inspection report in 24 hours Molfar. AI is an alumni of Space3...

Revenue
$440K
Customers
-
Year founded
2019
Funding
-
Team size
4
Location
Poland
Compare 17 Shan Dian with Deep.ad
5Deep.ad logo
Deep.ad

Image Recognition Software

Deep.ad provides brand attribution and market intelligence software for brands, agencies, and market research organizations. Our solutions automate the discovery and extraction of brand, product, and advertising information in paid and organic visual media. Using Machine Learning, we detect, classify, and measure appearances of "brandprints" – logos, trademarks, products, offers, and text – within visual media and digital content.

Revenue
$440K
Customers
-
Year founded
2017
Funding
-
Team size
4
Location
United States
Compare 17 Shan Dian with intouch-robotics GmbH
6intouch-robotics GmbH logo
intouch-robotics GmbH

Image Recognition Software

intouch-robotics GmbH is a robotics company is situated in / part of the innovation-driving ecosystem of Munich/Germany. intouch-robotics with its core value in bringing technology to enable robots to make the world a better place. The corporate strategy is focused on strengthening the excellence in high-tech research...

Revenue
$440K
Customers
-
Year founded
2021
Funding
-
Team size
4
Location
Germany
Compare 17 Shan Dian with HABIT
8HABIT logo
HABIT

Image Recognition Software

Reshaping neighborhood services with robotics.

Revenue
$440K
Customers
-
Year founded
2025
Funding
-
Team size
4
Location
United States
Compare 17 Shan Dian with ID Analyzer
10ID Analyzer logo
ID Analyzer

Image Recognition Software

Leading eKYC Cloud API and Enterprise Software provider. Global identity documents OCR, liveness check and ID Card facial recognition.

Revenue
$440K
Customers
-
Year founded
2015
Funding
-
Team size
4
Location
Taiwan
Compare 17 Shan Dian with Neurence
12Neurence logo
Neurence

Image Recognition Software

Intelligent cloud-based recognition engine allowing computers to understand unstructured human environments. Traditionally, the unstructured environment of our human world has been very hard for computers to understand — it lacks repetition, order and automation. This presents a problem for our everyday devices, which we expect to operate effectively in our highly complex, nuanced environment: each machine would require a huge amount of on-board processing power necessary to compute the different variables within every situation it encounters. Compounding this problem, any knowledge that has been accumulated by each device is not easy to exchange with other devices, so any learnt knowledge is siloed and not useful for other users and devices. To solve this problem, Neurence was founded by a group of world-class mathematicians and software engineers in Cambridge, England. Representing one of Europe's premier technical groups, the team at Neurence has built a highly intelligent, cloud-based central repository of information: Neurence acts like a "brain", with an ability to actually see, hear and understand the world around it.

Revenue
$440K
Customers
-
Year founded
2013
Funding
-
Team size
4
Location
United States
Compare 17 Shan Dian with embeff GmbH
13embeff GmbH logo
embeff GmbH

Image Recognition Software

Unit/Integration/System Testing for Microcontroller. The ExecutionPlatform. A generic test system for embedded teams.

Revenue
$440K
Customers
-
Year founded
2018
Funding
-
Team size
4
Location
Germany
Compare 17 Shan Dian with Raptorise
14Raptorise logo
Raptorise

Image Recognition Software

Percept Pixel is an image CDN with automatic optimization, real-time transformation, and storage that you can integrate to your existing setup in minutes. It also has various image transformation features as well as auto background removal

Revenue
$440K
Customers
-
Year founded
-
Funding
-
Team size
4
Location
India
Compare 17 Shan Dian with Neurence
15Neurence logo
Neurence

Image Recognition Software

Intelligent cloud-based recognition engine allowing computers to understand unstructured human environments. Traditionally, the unstructured environment of our human world has been very hard for computers to understand — it lacks repetition, order and automation. This presents a problem for our everyday devices, which we expect to operate effectively in our highly complex, nuanced environment: each machine would require a huge amount of on-board processing power necessary to compute the different variables within every situation it encounters. Compounding this problem, any knowledge that has been accumulated by each device is not easy to exchange with other devices, so any learnt knowledge is siloed and not useful for other users and devices. To solve this problem, Neurence was founded by a group of world-class mathematicians and software engineers in Cambridge, England. Representing one of Europe's premier technical groups, the team at Neurence has built a highly intelligent, cloud-based central repository of information: Neurence acts like a "brain", with an ability to actually see, hear and understand the world around it.

Revenue
$440K
Customers
-
Year founded
2013
Funding
-
Team size
4
Location
United States
Compare 17 Shan Dian with Molfar.AI
16Molfar.AI logo
Molfar.AI

Image Recognition Software

Molfar. AI is automating the costly, tedious and error-laden process of CCTV underground sewer pipe inspections by combining Machine Vision with Artificial Intelligence to automatically detect the faults in the pipes and generate a standardized CCTV Sewer Inspection report in 24 hours Molfar. AI is an alumni of Space3...

Revenue
$440K
Customers
-
Year founded
2019
Funding
-
Team size
4
Location
Poland
Compare 17 Shan Dian with PRIME AI
17PRIME AI logo
PRIME AI

Image Recognition Software

... AI Photoshoot virtually dresses real-life models in your clothing without the need for physical shoots. Advanced image analysis technology can identify over 20 critical product attributes from a single image, enabling visual search for finding clothes by picture. Looking for custom AI development? Prime AI offers...

Revenue
$440K
Customers
-
Year founded
2018
Funding
-
Team size
4
Location
United States
Compare 17 Shan Dian with Frameright
18Frameright logo
Frameright

Image Recognition Software

Displaying images on the web is challenging due to constantly varying channel and screen size requirements. As a result, pictures almost never display as intended. ‍ Frameright empowers creatives, developers, and businesses to take control of their essential asset, images. Our Image Display Control (IDC) technology makes images smart and adaptable to any container and screen, regardless of where they are published. The size is always right. Everything starts with the Frameright UI, which you can use in your browser or integrate quickly into your into your publishing system workflow. Our custom AI powers the UI, making the process super fast and smooth. Instructions are saved in the metadata fields of each file, and the correct image size information is available whenever needed with the help of our open source libraries and components. Frameright speeds up your image processing workflow and future-proofs all assets, while allowing you to keep using your old system as it is. IDC enables different parts of your production to communicate with each other. It may sound magical, but it's real. From now on, everyday image publishing and layout renewals will be effortless.

Revenue
$440K
Customers
-
Year founded
2017
Funding
-
Team size
4
Location
United States
Compare 17 Shan Dian with Klap
19Klap logo
Klap

Image Recognition Software

We augment sport experience by providing next generation of video tracking solutions Our mission is to power athletes performance and fans engagement.

Revenue
$440K
Customers
-
Year founded
2015
Funding
-
Team size
4
Location
Costa Rica
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