Latka logo

Top Supervisely Alternatives, Competitors & Similar Software

Founded 2017

Find 20 competitors in the Data Labeling Software. Compare other SaaS such as Rapidious, Langbase and Langbase. These Supervisely competitors have raised $8.6M and together serve more than - customers and employ over 260 team members.

Compare Supervisely with Rapidious
1Rapidious logo
Rapidious

Data Labeling Software

The Rapidious Titan.AI SaaS platforms uses AI to value each unit in your lot, and recommend optimal prices on a regular basis. Rapidious Titan has access to a proprietary database of RV pricing across the country. Rapidious provides - Market analysis and trends of stock and price, indepth competitor analysis – by radius, and either an exact match or an approximate match, and an exhaustive sales analysis and trends in a never-before-seen manner. Did you know that an RV dealer spends about 5 minutes pricing each RV in their lot? This means, that a dealer with say 150 units, it could take 10-12 hours pricing the entire lot. This of course implies that you cannot price the entire inventory every day. You can do it possibly once a week. This in turn implies that 80% of the time, your RV prices are too high – risking conversions, or too low, risking margins. Rapidious benefits: • Accurate pricing decisions – never lose a sale or leave margins on the table • 80% saving on staff time related to research, analysis required for pricing • Present competitor information to a client sitting at your dealership – and close the sale

Revenue
$1.4M
Customers
-
Year founded
2023
Funding
-
Team size
13
Location
United States
Compare Supervisely with Langbase
2Langbase logo
Langbase

Data Labeling Software

⌘ Langbase – Composable AI developer platform Ship AI features in mins, not months. Deploy AI agents with Pipe: Hook any LLM to any data, hyper-personalized API Memory: Managed search engine API with RAG tools Langbase is the composable AI infrastructure and developer experience to build, collaborate, and deploy any AI agents (AI features). Our infra is serverless, pay-as-you-go, and processing billions of tokens/messages every day. Our mission is to make AI accessible to everyone, any developer not just AI/ML experts. We are the only composable AI infrastructure. That's all we do. 1. Start by building AI agent pipes 2. Then, create managed semantic memory

Revenue
$1.4M
Customers
-
Year founded
2023
Funding
-
Team size
13
Location
United States
Compare Supervisely with Langbase
3Langbase logo
Langbase

Data Labeling Software

⌘ Langbase – Composable AI developer platform Ship AI features in mins, not months. Deploy AI agents with Pipe: Hook any LLM to any data, hyper-personalized API Memory: Managed search engine API with RAG tools Langbase is the composable AI infrastructure and developer experience to build, collaborate, and deploy any AI agents (AI features). Our infra is serverless, pay-as-you-go, and processing billions of tokens/messages every day. Our mission is to make AI accessible to everyone, any developer not just AI/ML experts. We are the only composable AI infrastructure. That's all we do. 1. Start by building AI agent pipes 2. Then, create managed semantic memory

Revenue
$1.4M
Customers
-
Year founded
2023
Funding
-
Team size
13
Location
United States
Compare Supervisely with CibusCell Technology
4CibusCell Technology logo
CibusCell Technology

Data Labeling Software

CibusCell provides a Software-as-a-Service (SaaS). CibusCell Cloud helps hydrogen producers and providers scaling commercially viable green hydrogen by four to seven years. By combining data from sensors, weather, storage, electricity prices, demand and supply in real-time to automate & optimise business decisions to increase utilization and profits. We don´t break, we only make. What do we mean with that? First of all we can start anywhere you like and collect data from your existing devices: Cell, Membrane, Windparc, Solar Cell, Solar Parc, Solar Panel, Elektrolyser Storage…and many more. We don´t need any local investments, we simply use the data your devices already provide us with. We recommend to start small like one elektrolyser=one dashboard for example Starting small is the best approach to getting off the ground. If you start with too large of a project, you may find yourself in pilot purgatory and jeopardize your success. But starting small doesn’t mean you can’t think big. We can accelerate and improve your business outcomes: -Quickly viewing insights about the performance of powergenerating units in detail by operations analysts. -Reducing the time to complete for example wind power generation unit analysis from one month to real-time. -Understanding where assets are underperforming and quickly issuing maintenance requests to local technology teams. -Directly contributing to top-line revenue growth by improving production efficiencies. CibusCell end-to-end Machine Learning Operations enables data science and IT teams to collaborate and increase the pace of model development and deployment via monitoring, validation, and governance of machine learning models.

Revenue
$1.4M
Customers
-
Year founded
2021
Funding
-
Team size
13
Location
Germany
Compare Supervisely with Tripo AI 3.0
7Tripo AI 3.0 logo
Tripo AI 3.0

Data Labeling Software

Tripo Studio is your next 3D workspace with AI. Whether you’re a game developer, product designer, artist, or just curious about 3D, Tripo makes the process fast, fun, and surprisingly simple.

Revenue
$1.4M
Customers
-
Year founded
2023
Funding
-
Team size
13
Location
China
Compare Supervisely with Pygmalios
8Pygmalios logo
Pygmalios

Data Labeling Software

Pygmalios is a market leader in providing in-store data-based solutions to enterprise retail chains across Europe. By employing state-of-art sensors and sophisticated algorithms the company helps its clients to build more resilient, safe, and efficient retail stores.

Revenue
$1.4M
Customers
-
Year founded
2015
Funding
-
Team size
13
Location
Slovakia
Compare Supervisely with eyecan.ai
9eyecan.ai logo
eyecan.ai

Data Labeling Software

We make it possible for Robots to train other Robots to perceive the environment via AI , Vision and a pinch of magic 😈

Revenue
$1.4M
Customers
-
Year founded
2019
Funding
-
Team size
13
Location
Italy
Compare Supervisely with Lili.ai
10Lili.ai logo
Lili.ai

Data Labeling Software

Artificial Intelligence reinvents the management of major projects

Revenue
$1.4M
Customers
-
Year founded
2016
Funding
$1.5M
Team size
13
Location
France
Compare Supervisely with CoreLedger
11CoreLedger logo
CoreLedger

Data Labeling Software

CoreLedger is an enterprise-blockchain platform and white-label solutions provider, offering a decentralized, modular, and extensible operating system for token economies, designed for all types of assets and services. The company’s flagship product is CoreLedger TEOS (Token Economy Operating System), which enables businesses to document, tokenize, and trade any goods or services via an API or a user-friendly online platform. CoreLedger TEOS features a patent-pending multi-party settlement mechanism, TokenWARP, that increases the liquidity of digital assets, allowing businesses to avoid unnecessary intermediaries to reduce costs and increase efficiency. And with CoreLedger's Active Sandbox, startups and SMEs can rapidly prototype, scale-up, and capture market opportunities. CoreLedger was founded in 2017 and has offices in Liechtenstein and Switzerland. The company employs a fast-growing team of dedicated professionals with complementary skills.

Revenue
$1.4M
Customers
-
Year founded
2017
Funding
-
Team size
13
Location
United States
Compare Supervisely with EyeLevel.ai
12EyeLevel.ai logo
EyeLevel.ai

Data Labeling Software

EyeLevel helps companies build LLM-powered applications that are grounded in fact not fiction. Our platform is the fastest way to build truthful LLM apps with private enterprise data. EyeLevel apps can train on any data, connect to any source and run on any surface including web, SMS, voice, Teams, Slack and more. Companies are using EyeLevel in customer service, sales, legal and more either with our API and no-code developer tools or hiring us as a full service shop to build the AI apps of their dreams. The founders built AI apps for millions of users at IBM Watson and Weather Company. Now they’re helping the rest of the world do it too.

Revenue
$1.4M
Customers
-
Year founded
2018
Funding
-
Team size
13
Location
United States
Compare Supervisely with X-Net Gruppe
13X-Net Gruppe logo
X-Net Gruppe

Data Labeling Software

Seit unserer Gründung 1999 stellen wir als IT-Dienstleister neue Technologien aus dem Open Source Bereich zur Verfügung, entwickeln eigenständige Software- und Hardware-Lösungen und betreuen Firmen-Netzwerke unterschiedlicher Größen. Dabei steht vor allem der Gedanke von sicherem Informationsaustausch und Vernetzung im Vordergrund, welcher im OpenSource-Bereich bereits seit vielen Jahren erfolgreich vorgelebt wird.

Revenue
$1.4M
Customers
-
Year founded
1999
Funding
-
Team size
13
Location
Austria
Compare Supervisely with EyeLevel.ai
14EyeLevel.ai logo
EyeLevel.ai

Data Labeling Software

EyeLevel helps companies build LLM-powered applications that are grounded in fact not fiction. Our platform is the fastest way to build truthful LLM apps with private enterprise data. EyeLevel apps can train on any data, connect to any source and run on any surface including web, SMS, voice, Teams, Slack and more. Companies are using EyeLevel in customer service, sales, legal and more either with our API and no-code developer tools or hiring us as a full service shop to build the AI apps of their dreams. The founders built AI apps for millions of users at IBM Watson and Weather Company. Now they’re helping the rest of the world do it too.

Revenue
$1.4M
Customers
-
Year founded
2018
Funding
-
Team size
13
Location
United States
Compare Supervisely with Explosion
15Explosion logo
Explosion

Data Labeling Software

Explosion is a software company specializing in developer tools and tailored solutions for Artificial Intelligence and Natural Language Processing. We're the makers of spaCy, one of the leading open-source libraries for Natural Language Processing and Prodigy, a modern annotation tool for creating training data for machine learning models.

Revenue
$1.4M
Customers
-
Year founded
2016
Funding
-
Team size
13
Location
Germany
Compare Supervisely with Marini Systems
16Marini Systems logo
Marini Systems

Data Labeling Software

Marini Systems is specialized in data integration in the enterprise environment. The portfolio includes an unlimited and flexible enterprise integration platform (iPaaS, EIPaaS) and the associated professional services.

Revenue
$1.4M
Customers
-
Year founded
2011
Funding
-
Team size
13
Location
Germany
Compare Supervisely with Quattr
17Quattr logo
Quattr

Data Labeling Software

Quattr is a comprehensive growth optimization platform that drives higher SEO and SEM traffic, engagement, and leads. We bring together a brand's website data in one place and assess its digital presence in real-time. In addition to offering powerful analytics, Quattr then uses AI & proprietary models to pinpoint content, experience, and discoverability recommendations and provides real-time guidance to grow the organic channel and capture previously missed opportunities.

Revenue
$1.4M
Customers
-
Year founded
2019
Funding
$7.1M
Team size
13
Location
United States
Compare Supervisely with GiniMachine
18GiniMachine logo
GiniMachine

Data Labeling Software

GiniMachine is a no-code AI solution for data predictions within minutes. It utilizes machine learning algorithms and historical data to build high-performing scoring models. The platform does a huge preparatory job and helps you make informed and balanced decisions. Fast performance, friendly interface, and prediction accuracy are its key competitive advantages. Key benefits of GiniMachine AI: 1. Fast, fully autonomous, and automated model building process. With a prepared dataset, it takes a few minutes to build and validate a scoring model. Thus, it saves hundreds of hours of manual work for data analysts. 2. High performance and predictive power. Typically, up to 15 points of the Gini Index compared to traditional models based on logistic regression. 3. Ease of use - no special training or engineering background is required to build a model. 4. Built-in scoring model evaluation and validation tools. 5. Ability to use unstructured and big data. Ability to handle imperfect and missing data. With GiniMachine, you can build any number of custom models for various business cases. The system can analyze all types of data to isolate patterns important for credit scoring, fraud, churn, e-commerce, healthcare, marketing models, etc. GiniMachine gives every user the power of no-code AI to make accurate business decisions.

Revenue
$1.4M
Customers
-
Year founded
2016
Funding
-
Team size
13
Location
Lithuania
Compare Supervisely with Lumoa
19Lumoa logo
Lumoa

Data Labeling Software

Most companies today track a number to assess how happy their customers are. NPS, CSAT, online ratings. What they miss is a way to tell what actions will move the number up or down. To do that, they would have to organise feedback from all sources; sift through thousands of rows; categorise that; find insights; map trends; and report. It’s too much. Lumoa makes this easy. It looks at any customer interaction, automates the analysis, and highlights the items with the biggest impact. The companies we work with not only see a spike in the numbers they track, but they always know what to do next to continue growing their business. Today, we serve companies in 14 countries, and we have users in 81. We have processed more than 45 million pieces of feedback in over 60 languages. And the companies we work with not only see 10%, 20%, even 150% spikes in the numbers they track, but they always know what to do next to make their customers love them. Discover how Lumoa can help you. Contact [email protected]

Revenue
$1.4M
Customers
-
Year founded
2016
Funding
-
Team size
13
Location
Finland
Compare Supervisely with Daizy
20Daizy logo
Daizy

Data Labeling Software

As many organisations embark on digital strategies, the value of their data assets in helping drive organisational transformation is rapidly increasing. Consequently, IoT initiatives must seamlessly dovetail into an organisation’s digital strategy from day one. However, for many organisations who have explored IoT, the challenges can outweigh the benefits: • Cost: ROIs are sensitive and easily disrupted by additional time on integration and installation; not device or connectivity costs. • Complexity: The chaos of the current IoT landscape requires expertise to navigate; no evidently frictionless options are available through existing business systems. • Lock-in: Vertical solutions as an option come with longer term issues – data access, pre-defined ecosystems and inflexibility. Daizy provides an intuitive management system for IoT projects and delivers data directly to any existing or future business systems. Daizy enables rapid scaling by reducing time to market, while at the same time minimizing cost, improving flexibility and maintaining security. Scalable and robust, the Daizy IoT platform is: • Open and Agnostic: Facilitates supply chain interoperability, providing greater choice for customers, and an ability for them to scale in the confidence that future IoT scenarios are already catered for. • End to End: Provides the full lifecycle management needed to support this supply chain, from project design, device selection, installation, management and end of life, including the provision and management of connectivity. • Easy to use: Keeps the costs down and allows our clients to use existing staff for the delivery and maintenance of IoT projects. Compatible with hundreds of devices, connecting over NB-IoT, LTE-M, LoRa WAN and Sigfox networks, Daizy enables the deployment of devices and connectivity most appropriate for the complex variables involved in IoT deployments, without the constraints commonly associated with a single verticalized solution.

Revenue
$1.4M
Customers
-
Year founded
2017
Funding
-
Team size
13
Location
United Kingdom
Top Supervisely Competitors & Alternatives