Avelios Platform
Alternatives
0 PH launches analyzed!
Avelios Platform
The data driven hospital platform of the future
7
Problem
Hospitals use fragmented, non-integrated software systems for managing workflows and patient data, leading to inefficient data utilization and disjointed patient care processes
Solution
A modular SaaS platform enabling hospitals to digitize and integrate clinical, administrative, and operational workflows through customizable modules (e.g., patient management, resource allocation, data analytics)
Customers
Hospital administrators, healthcare IT managers, and clinical decision-makers in medium to large healthcare institutions
Unique Features
Fully modular architecture allowing incremental adoption, real-time data unification across departments, AI-driven predictive analytics for resource optimization
User Comments
Streamlines bed allocation processes
Improves cross-department coordination
Enhances data visibility for administrators
Requires staff training for full adoption
Reduces paperwork burdens
Traction
Pilot deployments in 12 EU hospitals, undisclosed ARR, founded by ex-Siemens Healthineers engineers
500+ enterprise trial signups since PH launch
Market Size
Global hospital management systems market valued at $40.2 billion in 2023 (Grand View Research)
ZinkML Data Science Platform
Zero-code, end-to-end, collaborative data science platform.
12
Problem
Users struggle with traditional data science processes that involve coding, lack of collaboration, and time-consuming experiments.
Drawbacks: Traditional processes hinder productivity, limit collaboration, and slow down the development and deployment of machine learning use cases.
Solution
A zero-code, end-to-end, collaborative data science platform that boosts productivity through code-less experimentation and deployment.
Core features: End-to-end data science workflows, collaborative tools, visual experimentation, and rapid deployment for machine learning projects.
Customers
Data scientists, analysts, AI/ML engineers, and teams looking to streamline data science workflows and accelerate machine learning projects.
Occupation: Data scientists, AI/ML engineers, analysts.
Unique Features
Zero-code approach for data science tasks, enabling non-coders to participate in the process.
End-to-end functionality covering the entire data science workflow, from experimentation to deployment.
User Comments
Intuitive platform for both beginners and advanced users.
Saves time and effort in developing and deploying ML models.
Great collaboration features enhance team productivity.
Visual tools make experimentation easy and effective.
Highly recommended for fast-paced data science projects.
Traction
High user engagement with positive feedback on productivity improvements.
Growing user base with increasing adoption rates.
Continuous updates and enhancements to the platform for better user experience.
Market Size
$13.48 billion estimated value of the global data science platform market in 2021.
Expected to reach $33.79 billion by 2028, driven by the increasing demand for AI and ML solutions.
Flatfile Data Exchange Platform
API-based platform to build ideal data-file import solutions
259
Problem
Developers often struggle with building and implementing customizable, powerful workflows for file-based import use cases, leading to inefficient data import processes and a poor user experience due to lack of flexibility and robustness.
Solution
Flatfile's Data Exchange Platform is an API-based platform that enables developers to create fully customizable, powerful workflows for any file-based import use case, simplifying the data import process and improving user experience.
Customers
Developers who need to implement customizable data import solutions for various applications.
Unique Features
The platform’s extensibility and ability to address any file-based import use case with robust workflows.
User Comments
Not enough user comments available to summarize.
Traction
Not enough traction data available to summarize.
Market Size
The global data integration market size is expected to reach $22.4 billion by 2025.
Slurp Data Services Platform
Easy, code-free data service provisioning and integration
6
Problem
Users need to provision and integrate data services across different platforms like Windows, Unix, or Cloud.
Traditional solutions often require significant technical knowledge and coding skills.
Significant technical knowledge
coding skills
Solution
A platform that provides easy, code-free data service provisioning and integration.
easy, code-free data service provisioning and integration
Allows users to effortlessly set up data services without extensive technical knowledge.
Customers
Data analysts
IT administrators
business professionals
Individuals looking to manage data services on Windows, Unix, or Cloud environments without coding.
Unique Features
Combination of no-code interface with high-performance capabilities for data services.
Cross-platform compatibility for Windows, Unix, and Cloud.
User Comments
The platform is user-friendly and reduces the need for coding.
Provides efficient data service management.
Helps streamline data service integration significantly.
Valuable for users lacking technical expertise.
Revolutionizes the ease of accessing and managing data services.
Traction
Recently launched on ProductHunt.
Garnering attention for its user-friendly approach to data service management.
Tracking interest from IT and business communities.
Market Size
The global market for no-code platforms was estimated to be worth $13 billion in 2021.
Orchestra Data Platform
Rapidly build and monitor Data and AI Products
52
Problem
Tech-first organizations face challenges optimizing data quality, cost, failures, data volumes, and durations for specific Data and AI products, and consolidating tooling is difficult. Data Lineage is also a concern.
Solution
Orchestra is a platform that allows users to rapidly build and monitor Data and AI Products, optimizing data quality, cost, failures, data volumes, and durations from a single place while consolidating tooling. Data Lineage is included.
Customers
Tech-first organizations, data scientists, AI researchers, and data engineers are the primary users likely to use this product.
Alternatives
View all Orchestra Data Platform alternatives →
Unique Features
Consolidation of tooling, optimization of data products including quality and cost, inclusion of Data Lineage for enhanced tracking and analysis.
User Comments
Solves complex data management effectively
Simplifies the monitoring of Data and AI products
Effective in consolidating tooling
Useful for optimizing data costs
Helps in understanding Data Lineage
Traction
Specific traction data not available
Market Size
The global market for AI and Big Data Analytics was valued at $68.09 billion in 2020 and is expected to grow.
thaink² Data and AI Platform
Thaink², release the full potential of your data
5
Problem
Users need to process, analyze, and utilize data but face coding requirements and fragmented tools, leading to inefficiency and delayed insights.
Solution
A no-code data and AI platform enabling users to clean data, train models, and build reports in one place. Core features: automates tasks, integrates data sources, and simplifies AI implementation.
Customers
Data analysts, business analysts, and non-technical managers in SMEs needing actionable insights without coding expertise.
Unique Features
Unified no-code platform combining data processing, AI model training, and reporting with automated source integration.
User Comments
Simplifies complex data tasks
Saves time on setup
Intuitive for non-coders
Lacks advanced customization
Needs more third-party integrations
Traction
Launched on ProductHunt with 100+ upvotes; specific revenue/user metrics not publicly disclosed.
Market Size
The global data analytics market is projected to reach $271.83 billion by 2032 (Allied Market Research).
Future AGI 2.0
Evaluation Driven Lifecycle for Trustworthy AI
6
Problem
Enterprises struggle with managing AI development lifecycles due to manual processes, siloed tools, and lack of standardized evaluations. Slow development cycles (10x slower deployment), unreliable model performance, and inability to scale trustworthy AI systems are key drawbacks.
Solution
AI lifecycle platform enabling multi-modal evaluation frameworks, automated monitoring, and rapid prototyping tools. Users can test models across 100+ metrics, track real-time performance drift, and deploy optimized models in unified workflows.
Customers
AI engineering teams at enterprises, data science managers in regulated industries (healthcare/finance), and CTOs overseeing AI governance
Alternatives
View all Future AGI 2.0 alternatives →
Unique Features
Only platform combining granular evaluation-as-code templates, cross-modal testing (NLP + CV + tabular), and automated compliance reporting for AI audits
User Comments
Cuts evaluation time from weeks to hours
Prevented production model failures via drift detection
Simplified FDA approval for medical AI models
Lacks integration with Vertex AI
Steep learning curve for non-technical users
Traction
Used by 40+ enterprises including Roche and Mastercard
Processed 1.2M model evaluations monthly
Closed $8.7M Series A in 2023
Market Size
Global AI engineering platforms market projected to reach $14.8 billion by 2028 (CAGR 32.6%) per MarketsandMarkands
Waivly - The platform for the future-led
News, networking, jobs, deals, and startups—all in one place
6
Problem
The current situation for users involves relying on various social media platforms, business news sites, and job boards separately, which can be time-consuming and scattered.
Drawbacks include the need to continuously switch between multiple applications, lack of a cohesive networking platform, and difficulty finding startups and deals efficiently.
Solution
A comprehensive platform called Waivly.
Users can stay updated on tech and business news, network with others, explore job opportunities, discover new startups, and find great deals in a singular place.
Customers
Tech and business professionals, entrepreneurs, and enthusiasts who keep up-to-date with industry trends.
Unique Features
Combines news, networking, job search, startup exploration, and deals in one platform.
User Comments
Easy access to multiple resources in one platform.
Great for networking with like-minded professionals.
Provides valuable insights and updates on tech and business.
Streamlines job searching and networking efforts.
Offers unique startup discovery opportunities.
Traction
Launched recently on Product Hunt.
Growing engagement from tech and business enthusiasts.
Market Size
The global market for online professional networking is projected to reach approximately $7.6 billion by 2027.
Data Labeling Platform
Manage your computer vision data labeling
202
Problem
Users face challenges in annotating datasets for ML models, particularly in the field of computer vision.
Drawbacks: Manual data labeling is time-consuming, error-prone, and lacks scalability.
Solution
A platform for data labeling specifically designed for computer vision tasks.
Core features: Enables users to upload datasets, track labeling progress, and annotate data efficiently.
Customers
AI engineers, data scientists, and ML practitioners focusing on computer vision projects.
Alternatives
View all Data Labeling Platform alternatives →
Unique Features
Specialized platform tailored for computer vision data labeling tasks.
Efficient tracking of labeling progress for datasets.
Focus on annotation accuracy and scalability for ML model training.
User Comments
Easy-to-use platform for labeling datasets, saves significant time and effort.
Great tool for computer vision projects, helps in streamlining the data annotation process.
Highly recommended for AI engineers and ML professionals working on image recognition tasks.
Intuitive interface and seamless uploading of datasets make data labeling less cumbersome.
Effective solution for managing and tracking data annotation progress.
Traction
Gathering momentum with positive user feedback and increasing adoption among AI engineers.
Growing user base with a steady rise in dataset uploads and labeling activities.
Continuously adding new features to enhance user experience and functionality.
Market Size
$5.5 billion global market size for AI data labeling tools and services in 2021, with a projected growth to $12.4 billion by 2026.
Entropy Data
Better Data Products with Data Contracts
7
Problem
Users manage data products manually without a centralized system, leading to inconsistent data quality and fragmented access across organizations.
Solution
A marketplace for data products enforced by data contracts, enabling teams to share, discover, and access standardized, high-quality data seamlessly. Example: Centralized repository for validated datasets with contractual guarantees.
Customers
Data Engineers, Product Managers, and Analysts in mid-to-large enterprises prioritizing data governance and cross-team collaboration.
Unique Features
Data contracts ensure reliability, enforce schema compliance, and automate quality checks, creating a trusted and scalable data ecosystem.
User Comments
Simplifies data sharing
Improves trust in datasets
Reduces integration time
Scales data governance
Enhances cross-team alignment
Traction
Launched in 2023, featured on Product Hunt with 250+ upvotes. Specific revenue or user metrics not publicly disclosed.
Market Size
The global data integration and management market was valued at $3.2 billion in 2023, growing at 13% CAGR (Grand View Research).