- Revenue
- $770K
- Customers
- -
- Year founded
- 2020
- Funding
- -
- Team size
- 7
- Location
- United States
Top Removal.AI Alternatives, Competitors & Similar Software
Founded 2020
Find 20 competitors in the Image Recognition Software. Compare other SaaS such as Vogent, Naratix and Blaxel. These Removal.AI competitors have raised $500K and together serve more than - customers and employ over 140 team members.

Image Recognition Software
Powerful AI Solutions For Agencies and E-commerce. We help businesses save hours of manual work and get more sales with powerful AI agents. We transform product descriptions, data management, real-time upsells and cross-sells, customer engagement, and more. Grab the FREE trial using the link 👇
- Revenue
- $770K
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 7
- Location
- Romania
- Revenue
- $770K
- Customers
- -
- Year founded
- 2024
- Funding
- -
- Team size
- 7
- Location
- United States

Image Recognition Software
We're on a quest to (1) solve information overload (2) take human thinking to a new dimension through AI. 🧠✨ Feed your brain twin with everything you're learning from (articles, videos, podcasts - you name it!). Use the AI companion to turn all the knowledge you acquired into coherent conclusions. Enjoy daily, personalized lessons that assist you in retaining memories and building new connections. Get to know your brain and learning through daily 'brain moods' and quotes.
- Revenue
- $770K
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 7
- Location
- France

Image Recognition Software
SWMS AI streamlines safety compliance and improves safety by automating the generation of comprehensive safety risk assessments tailored to any high-risk task or activity. Automatically identify hazards, assess risks, and define control measures.
- Revenue
- $770K
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 7
- Location
- Australia

Image Recognition Software
LangWatch AI is an all-in-one platform designed to help businesses build, monitor, and improve their AI solutions with confidence. It offers tools for quality assurance, risk mitigation, and user analytics, enabling companies to safely deploy generative AI while protecting against issues like hallucinations, data leaks, and reputational damage
- Revenue
- $770K
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 7
- Location
- Netherlands
- Revenue
- $770K
- Customers
- -
- Year founded
- 2021
- Funding
- -
- Team size
- 7
- Location
- United States

Image Recognition Software
Payman is an innovative platform that allows AI agents to pay humans for completing tasks they cannot perform themselves. It aims to create a symbiotic relationship between AI and humans, facilitating a new economy where AI can directly compensate human workers for their skills and efforts.
- Revenue
- $770K
- Customers
- -
- Year founded
- 2024
- Funding
- -
- Team size
- 7
- Location
- United States

Image Recognition Software
Flo AI is a Python framework that makes building production-ready AI agents and teams as easy as writing YAML. Think "Kubernetes for AI Agents" - compose complex AI architectures using pre-built components while maintaining the flexibility to create your own.
- Revenue
- $770K
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 7
- Location
- United States

Image Recognition Software
CyberAlarm is an intuitive, cloud-based, AI-driven cyber security solution that protects your and your clients’ businesses – without over complication and high costs. Our approach refreshingly simple: a CyberAlarm subscription will immediately scan, detect, report and remediate any cyber security issues. It’s as simple as: 1️⃣ Scan a URL reveal a full digital footprint, from social profiles and web hosting, to domains and email servers. 2️⃣ We’ll flag any issues, and alerts and advice will be issued in real time with a simple traffic light system. Someone’s been changing your DNS? We’ll show you, where and when – that’s an amber alert. Your data’s been leaked on the dark web? You’ll know in an instant, with a red light. 3️⃣ On your CyberAlarm dashboard, you can review and fix any flagged issues – and they’ll be remedied for you, using AI overseen by dedicated human tech support. Our customers may operate in a range of industries, but they have one thing in common: fixing issues that could, or are, compromising cybersecurity is time consuming, requires expertise and often external support – that’s why we’re so pleased to enter the market with our proactive cyber security tool. We’re also well placed to support SMEs and MSPs (Multiple Service Providers), and understand that good cybersecurity is good business. Cybercrime cost the UK economy £30.5 billion last year, and within that, small businesses in the UK seeing a 42% increase in breaches which each cost around £5,500. We're simplifying cybersecurity and saving time, with a preventative barrier for all businesses and organisations – big and small – against lost revenue, trust, and safety.
- Revenue
- $770K
- Customers
- -
- Year founded
- 2018
- Funding
- -
- Team size
- 7
- Location
- United Kingdom

Image Recognition Software
Helping companies build and launch AI apps in minutes, instead of weeks by leveraging an AI API infrastructure pre-built and ready to deploy. Visit: https://unremot.com
- Revenue
- $770K
- Customers
- -
- Year founded
- 2020
- Funding
- -
- Team size
- 7
- Location
- India

Image Recognition Software
CaptureFast is built on 25 years of computer vision and document/data capture experience. Our technology offers all the benefits of document and data capture, without the big price tag customary with incumbent solutions. Established as Digiform Technologies Ltd in 2005, CaptureFast offers a portfolio of products to extract and digitize data trapped in paper-heavy business processes.
- Revenue
- $770K
- Customers
- -
- Year founded
- 2017
- Funding
- -
- Team size
- 7
- Location
- United States

Image Recognition Software
Eyeware develops platform-independent head and eye tracking software for webcams and 3D sensors using patent-pending computer vision algorithms and machine perception AI technology. We are proving that hardware is no longer a barrier to entry for companies creating head- and eye-tracking applications for gaming, research, and accessibility industries. Past iterations of eye-tracking technology involved hardware-based solutions that are too expensive for widespread adoption, or integrated webcam-based solutions that are not reliable. As an emerging deep tech provider of platform-independent human perception AI for webcams and 3D cameras, we bypass the need for specialized hardware so that companies can integrate reliable and cost-effective head- and eye-tracking technology into consumer applications. We released our first consumer application using this proprietary head- and eye technology with the free Eyeware Beam beta app. The iOS app turns a face ID-supported iPhone or iPad, with a built-in TrueDepth camera, into a reliable, precise, multi-purpose six degrees of freedom (6DoF) head- and eye-tracking device. Gamers use the iOS app to control the in-game camera with their real-life head movements. Streamers use the app’s eye tracker gaze bubble overlay to accurately show where they are looking on the screen in Twitch live streams, which drives home the idea of how ripe our tracking technology is for widespread adoption. The Eyeware Beam software development kit (SDK) provides third-party developers and independent software vendors with a subscription to develop their head- and eye- tracking-enabled PC solutions with access to tracking data in real-time. Similarly, our hardware-agnostic technology GazeSense™ 3D eye tracking uses off-the-shelf depth-sensing cameras to provide real-time gaze coding with no need for wearable tracking devices like glasses. 3D eye tracking detects multiple subjects and attention towards 3D objects in the open space.
- Revenue
- $770K
- Customers
- -
- Year founded
- 2016
- Funding
- -
- Team size
- 7
- Location
- Switzerland

Image Recognition Software
Update: MindX and its team have been acquired by Blackrock Neurotech, and you can follow our continued work there! At MindX, we're combining neurotechnology, augmented reality and artificial intelligence to create a "look-and-think” interface for next- generation spatial computing applications.
- Revenue
- $770K
- Customers
- -
- Year founded
- 2017
- Funding
- $500K
- Team size
- 7
- Location
- United States

Image Recognition Software
Contemporary AI service for self-writing blog posts, essays and product descriptions. Focus on what's important.
- Revenue
- $770K
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 7
- Location
- United States

Image Recognition Software
Qlerify is an AI-powered collaborative software modelling platform helping transformation teams to digitalize enterprise business processes very fast - up to 100X faster. Our platform swiftly identifies business needs and transforms them into comprehensive technical system blueprints and boilerplate code for engineers—achieving what usually takes months, in days.
- Revenue
- $770K
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 7
- Location
- Sweden

Image Recognition Software
Langtail is an end-to-end platform for building LLM applications. It offers collaborative workspaces, a no-code playground for prompt engineering, comprehensive logging and analytics, systematic prompt testing, and streamlined deployment infrastructure. By bringing together these capabilities, Langtail enables companies to rapidly experiment with LLMs, collaborate across teams, refine prompts, and deploy production-ready applications with unprecedented speed and confidence.
- Revenue
- $770K
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 7
- Location
- United States
- Revenue
- $770K
- Customers
- -
- Year founded
- 2025
- Funding
- -
- Team size
- 7
- Location
- United States

Image Recognition Software
Silvi is an end-to-end screening and data extraction tool supporting Systematic Literature Review and Meta-analysis. Silvi helps create systematic literature reviews and meta-analyses that follow Cochrane guidelines in a highly reduced time frame, giving a fast and easy overview. It supports the user through the full process, from literature search to data analyses. Silvi is directly connected with databases such as PubMed and ClinicalTrials.gov and is always updated with the latest published research. It also supports RIS files, making it possible to upload a search string from your favorite search engine (i.e., Ovid). Silvi has a tagging system that can be tailored to any project. Silvi is transparent, meaning it documents and stores the choices (and the reasons behind them) the user makes. Whether publishing the results from the project in a journal, sending them to an authority, or collaborating on the project with several colleagues, transparency is optimal to create robust evidence. Silvi is developed with the user experience in mind. The design is intuitive and easily available to new users. There is no need to become a super-user. However, if any questions should arise anyway, we have a series of super short, instructional videos to get back on track.
- Revenue
- $770K
- Customers
- -
- Year founded
- 2019
- Funding
- -
- Team size
- 7
- Location
- United States
- Revenue
- $770K
- Customers
- -
- Year founded
- 2025
- Funding
- -
- Team size
- 7
- Location
- United States






