Alternatives to NeuroBlock
Compare NeuroBlock alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to NeuroBlock in 2026. Compare features, ratings, user reviews, pricing, and more from NeuroBlock competitors and alternatives in order to make an informed decision for your business.
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1
NeuroIntelligence
ALYUDA
NeuroIntelligence is a neural networks software application designed to assist neural network, data mining, pattern recognition, and predictive modeling experts in solving real-world problems. NeuroIntelligence features only proven neural network modeling algorithms and neural net techniques; software is fast and easy-to-use. Visualized architecture search, neural network training and testing. Neural network architecture search, fitness bars, network training graphs comparison. Training graphs, dataset error, network error, weights and errors distribution, neural network input importance. Testing, actual vs. output graph, scatter plot, response graph, ROC curve, confusion matrix. The interface of NeuroIntelligence is optimized to solve data mining, forecasting, classification and pattern recognition problems. You can create a better solution much faster using the tool's easy-to-use GUI and unique time-saving capabilities.Starting Price: $497 per user -
2
Cognassist
Cognassist
Cognassist is a neuro-inclusion platform dedicated to helping every diverse mind thrive. We assist organizations in championing neuro-inclusion daily through our world-leading cognitive diversity assessment and expert-led neurodiversity training. For employers, our neuro-inclusion solution enables employees to flourish while ensuring organizations meet legal and ethical standards. We offer neuro-inclusion-certified training, empowering teams with our accredited program. Our cognitive mapping is clinically robust, providing personalized workplace adjustments and recognizing diverse preferences for disclosure. The neuro-difference dashboard elevates the representation of neuro-differences across organizations. For educators, we help identify learner needs, personalize learner journeys, cut costs, support Ofsted quality, and boost attainment. Our digital cognitive assessments identify learner needs at scale in 30 minutes.Starting Price: $12,482.37 per year -
3
NeuroSplit
Skymel
NeuroSplit is a patent-pending adaptive-inferencing technology that dynamically “slices” a model’s neural network connections in real time to create two synchronized sub-models, executing initial layers on the end user’s device and offloading the remainder to cloud GPUs, thereby harnessing idle local compute and reducing server costs by up to 60% without sacrificing performance or accuracy. Integrated into Skymel’s Orchestrator Agent platform, NeuroSplit routes each inference request across devices and clouds based on specified latency, cost, or resource constraints, automatically applying fallback logic and intent-driven model selection to maintain reliability under varying network conditions. Its decentralized architecture ensures end-to-end encryption, role-based access controls, and isolated execution contexts, while real-time analytics dashboards provide insights into cost, throughput, and latency metrics. -
4
NeuroPage
NeuroPage
NeuroPage is an AI-powered personalization platform that transforms CRM and LinkedIn data into behavioral personas and automatically generates individualized landing pages for every lead. Instead of relying on generic messaging, NeuroPage adapts content to how each buyer thinks, decides, and responds. The system analyzes communication styles, motivation triggers, and decision patterns to produce a clear behavioral profile for each contact. Using these insights, NeuroPage builds landing pages tailored to each person’s preferences, whether they prefer concise information, detailed explanations, emotional storytelling, or data-driven messaging. This helps teams validate positioning faster, improve engagement, and deliver highly personalized buyer experiences at scale. NeuroPage requires no manual writing or segmentation, making personalization fast, efficient, and accessible for founders, marketers, and sales teams. The platform is currently in MVP with early access available.Starting Price: $50 per month -
5
NeuroPrice
NeuroPrice
NeuroPrice is the first Amazon repricer that works directly inside Amazon Seller Central, and has NO data blindspots. NeuroPrice is first and only in three categories: 1. No FBA blindspots (first and only) 2. Works directly within Amazon (first and only) 3. Price against 2nd & 3rd lowest competing offers (first and only) NeuroPrice is the Amazon repricer that eliminates the blindspots of repricing software by having Amazon do your repricing for you – automating everything directly on the Amazon page with no blindspots and total simplicity. • 14 Day Trial • 60 second sign up • Full pricing strategy video training. • One click install (nothing to download). • Full email support. • Be repricing in seconds. • Works for FBA and Merchant Fulfilled sellers.Starting Price: $17/month -
6
NeuroShell Trader
NeuroShell Trader
If you have a set of favorite indicators but don't have a set of profitable trading rules, the pattern recognition of an artificial neural network may be the solution. Neural networks analyze your favorite indicators, recognize multi-dimensional patterns too complex to visualize, predict, and forecast market movements, and then generate trading rules based on those patterns, predictions, and forecasts. With NeuroShell Trader's proprietary fast training 'Turboprop 2' neural network you no longer need to be a neural network expert. Inserting neural network trading is as easy as inserting an indicator. NeuroShell Trader's point-and-click interface allows you to easily create automated trading systems based on technical analysis indicators and neural network market forecasts without any code or programming.Starting Price: $1,495 one-time payment -
7
NeuroID
NeuroID
ID Crowd Alert™ proactively monitors and alerts of critical changes in crowd-level behavior. ID Orchestrator™ observes applicant-level behavior to provide a frictionless identity screen prior to clicking submit. NeuroID has prevented millions of dollars in losses with early detection of fraud rings and bot activity while simultaneously unlocking millions in revenue from genuine applicants. NeuroID doesn’t collect or store any PII, which means you can rest easy knowing that your customer data isn’t at risk of breach. NeuroID’s behavioral experts pioneered the field of behavior analytics and have been referenced and cited more than anyone else for their work. Frictionless input to identity verification process means that NeuroID products require no additional onboarding steps. Applicants simply apply as they normally would, and NeuroID measures the level of familiarity they have with inputted PII. -
8
Neuropool
Neuropool
Neuropool is the world's fastest-growing neurodivergent talent pool, offering an end-to-end platform for candidates to find jobs with inclusive employers and for HR and recruitment teams to hire neurodivergent talent. They provide a variety of services to help HR and recruitment teams attract, hire, and retain neurodivergent talent, including a jobs board, recruitment services, and HR tools and training. Neuropool also works with careers and widening participation teams at universities to improve graduate employment outcomes for neurodivergent students through mentoring programs and access to neuro-inclusive employers. Job seekers can join a community of over 20,000 neurodivergent professionals to find neuro-inclusive employers. Neuropool's mission is to break down stereotypes around neurodivergence in the workplace and provide the tools and technology for employers and neurodivergent talent to connect more easily. -
9
NeuroFlow
NeuroFlow
NeuroFlow is a digital health company combining workflow automation, consumer engagement solutions, and applied AI to promote behavioral health integration in all care settings. NeuroFlow’s suite of HIPAA-compliant, cloud-based tools simplify remote patient monitoring, enable risk stratification, and facilitate collaborative care. With NeuroFlow, health care organizations can finally bridge the gap between mental and physical health in order to improve outcomes and reduce the cost of care. -
10
NeuroAtHome
Mundo RTEIN
NeuroAtHome is the only rehabilitation software platform specifically designed to treat the aftermath of a neurological injury or neurodegenerative disease. During each session, NeuroAtHome monitors the exercises performed and checks the degree and quality of their execution. In this way, the clinical team in charge of the rehabilitation of patients can verify their evolution, objectively, throughout the rehabilitation process. Real-time motion capture, without the need to wear any device, combined with virtual reality and touch screens, allow NeuroAtHome to implement 80 exercises for physical and cognitive rehabilitation. NeuroAtHome is designed to be used both in clinical settings (hospitals, clinics, outpatient centers or residences) or at home. Regardless of where the patient is, the clinical team will be able to design and customize the rehabilitation sessions that patients will complete and modify subsequent sessions based on the results achieved. -
11
Skymel
Skymel
Skymel is a cloud-native AI orchestration platform built around its real-time Orchestrator Agent (OA) and companion AI assistant, ARIA. The Orchestrator Agent enables both fully automatic runtime agent creation and developer-controlled dynamic agents that seamlessly integrate across any device, cloud, or neural network architecture. It leverages NeuroSplit’s distributed-compute technology to optimize inference, automatically routing each request through the ideal model and execution environment (on-device, cloud, or hybrid), unifying error handling, and reducing API costs by 40–95% while improving performance. On top of OA, Skymel ARIA delivers a single, synthesized answer to any query by orchestrating ChatGPT, Claude, Gemini, and other leading AI models in real-time, eliminating manual prompt chaining and subscription juggling. -
12
Google Cloud Datalab
Google
An easy-to-use interactive tool for data exploration, analysis, visualization, and machine learning. Cloud Datalab is a powerful interactive tool created to explore, analyze, transform, and visualize data and build machine learning models on Google Cloud Platform. It runs on Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks. Cloud Datalab is built on Jupyter (formerly IPython), which boasts a thriving ecosystem of modules and a robust knowledge base. Cloud Datalab enables analysis of your data on BigQuery, AI Platform, Compute Engine, and Cloud Storage using Python, SQL, and JavaScript (for BigQuery user-defined functions). Whether you're analyzing megabytes or terabytes, Cloud Datalab has you covered. Query terabytes of data in BigQuery, run local analysis on sampled data, and run training jobs on terabytes of data in AI Platform seamlessly. -
13
NeuroQ
Syntermed
NeuroQ is a leading brain imaging analysis software that provides a powerful diagnostic tool available for multiple modalities and clinical applications. It offers an integrated solution for FDG, Amyloid, SPECT, DaTscan, and Epilepsy, supporting the most relevant functional imaging modalities to increase accuracy in differential diagnosis. NeuroQ is one of the most widely used quantitative tools for the differential diagnosis of dementia. The software goes beyond visual reads by providing valuable non-subjective diagnostic information, rapidly comparing metabolic levels in more than 240 predefined regions of the brain to a normal database, and quantifying the degree of abnormality and statistical significance of the findings. NeuroQ has been developed to aid in the assessment of human brain scans through quantification of mean pixel values lying within standardized regions of interest, and to provide quantified comparisons with brain scans. -
14
Tinfoil
Tinfoil
Tinfoil is a verifiably private AI platform built to deliver zero-trust, zero-data-retention inference by running open-source or custom models inside secure hardware enclaves in the cloud, giving you the data-privacy assurances of on-premises systems with the scalability and convenience of the cloud. All user inputs and inference operations are processed in confidential-computing environments so that no one, not even Tinfoil or the cloud provider, can access or retain your data. It supports private chat, private data analysis, user-trained fine-tuning, and an OpenAI-compatible inference API, covers workloads such as AI agents, private content moderation, and proprietary code models, and provides features like public verification of enclave attestation, “provable zero data access,” and full compatibility with major open source models. -
15
Oumi
Oumi
Oumi is a fully open source platform that streamlines the entire lifecycle of foundation models, from data preparation and training to evaluation and deployment. It supports training and fine-tuning models ranging from 10 million to 405 billion parameters using state-of-the-art techniques such as SFT, LoRA, QLoRA, and DPO. The platform accommodates both text and multimodal models, including architectures like Llama, DeepSeek, Qwen, and Phi. Oumi offers tools for data synthesis and curation, enabling users to generate and manage training datasets effectively. For deployment, it integrates with popular inference engines like vLLM and SGLang, ensuring efficient model serving. The platform also provides comprehensive evaluation capabilities across standard benchmarks to assess model performance. Designed for flexibility, Oumi can run on various environments, from local laptops to cloud infrastructures such as AWS, Azure, GCP, and Lambda.Starting Price: Free -
16
thinkdeeply
Think Deeply
Discover from a variety of assets to jump-start your AI project. The AI hub provides a rich collection of artifacts that your project may need - industry AI starter kits, datasets, notebooks, pre-trained models, deployment-ready solutions & pipelines. Get access to the best resources from external parties, or created by your organization. Prepare and manage your data for model training. Collect, organize, tag, or select features, and prepare datasets for training with simple drag and drop UI. Collaborate with multiple team members to tag large datasets. Implement a quality control process to ensure dataset quality. Build models with simple clicks using the model wizards. No data science knowledge required. The system selects the best models for the problem and optimizes their training parameters. Advanced users, however, can fine-tune the models and their hyper-parameters. One-click deployment to production inference enviornments. -
17
Auris
GenY Labs
You can now augment your market research using Auris - an AI-powered consumer insights platform. Auris' deep learning models act on streaming data to provide invaluable insights. Think infinitely larger sample size, real time results at a fraction of the cost. Auris uses alternative data, which is already out there in the form of consumer conversations, feedback, reviews and so forth. This unstructured data needs cleaning for noise reduction, enrichment for various attributes. Auris enables that. The results is that you get great insights, in a very short period of time, in the manner you'd like. Rely on Auris for empowering your marketing strategy and execution. Listen to everything that you value: your brand, your product, and your areas of interest. This includes social media, review boards, news streams, influential blogs, even your competition! With Artificial Intelligence and Neuro-Linguistic Programming on your side, give form and structure to this raw data.Starting Price: $99 per month -
18
NVIDIA Picasso
NVIDIA
NVIDIA Picasso is a cloud service for building generative AI–powered visual applications. Enterprises, software creators, and service providers can run inference on their models, train NVIDIA Edify foundation models on proprietary data, or start from pre-trained models to generate image, video, and 3D content from text prompts. Picasso service is fully optimized for GPUs and streamlines training, optimization, and inference on NVIDIA DGX Cloud. Organizations and developers can train NVIDIA’s Edify models on their proprietary data or get started with models pre-trained with our premier partners. Expert denoising network to generate photorealistic 4K images. Temporal layers and novel video denoiser generate high-fidelity videos with temporal consistency. A novel optimization framework for generating 3D objects and meshes with high-quality geometry. Cloud service for building and deploying generative AI-powered image, video, and 3D applications. -
19
Neuri
Neuri
We conduct and implement cutting-edge research on artificial intelligence to create real advantage in financial investment. Illuminating the financial market with ground-breaking neuro-prediction. We combine novel deep reinforcement learning algorithms and graph-based learning with artificial neural networks for modeling and predicting time series. Neuri strives to generate synthetic data emulating the global financial markets, testing it with complex simulations of trading behavior. We bet on the future of quantum optimization in enabling our simulations to surpass the limits of classical supercomputing. Financial markets are highly fluid, with dynamics evolving over time. As such we build AI algorithms that adapt and learn continuously, in order to uncover the connections between different financial assets, classes and markets. The application of neuroscience-inspired models, quantum algorithms and machine learning to systematic trading at this point is underexplored. -
20
Rendered.ai
Rendered.ai
Overcome challenges in acquiring data for machine learning and AI systems training. Rendered.ai is a PaaS designed for data scientists, engineers, and developers. Generate synthetic datasets for ML/AI training and validation. Experiment with sensor models, scene content, and post-processing effects. Characterize and catalog real and synthetic datasets. Download or move data to your own cloud repositories for processing and training. Power innovation and increase productivity with synthetic data as a capability. Build custom pipelines to model diverse sensors and computer vision inputs. Start quickly with free, customizable Python sample code to model SAR, RGB satellite imagery, and more sensor types. Experiment and iterate with flexible licensing that enables nearly unlimited content generation. Create labeled content rapidly in a hosted, high-performance computing environment. Enable collaboration between data scientists and data engineers with a no-code configuration experience. -
21
Alkemi
Alkemi
Alkemi’s flagship product, DataLab, is a secure AI-native workspace that connects directly to your company’s governed data from sources like Snowflake, BigQuery, Databricks, or simple CSV uploads and lets users ask questions in plain English to get instant, transparent answers, charts, and recommendations with no SQL or analysts required. DataLab indexes and analyzes your data inside a private, secure environment so every insight is traceable and verifiable, and your data never leaves your control, protecting intellectual property and governance. It bridges the gap between complex data stores and everyday decision-making by combining the clarity of business intelligence with conversational AI to reduce BI backlogs and speed decisions for marketing, finance, product, sales, operations, and more. DataLab also enables data providers to turn datasets into interactive, AI-ready experiences that buyers can explore securely without exposing raw data, and accelerating data discovery. -
22
neuro
neuro
Harness your data from your toolchain to create high-performing engineering and quality teams. neuro provides complete visibility of your engineering and quality performance. Close the gap between insight and action to increase velocity. Set user-defined goals to track progress, identify roadblocks, and align engineering and quality teams with business priorities. Deliver consistency across your portfolio. Address the challenge of managing dependencies among teams, especially third parties. Provide rapid reporting across your tool stack. Smart dashboards provide greater insight and remove administrative overhead with automated reporting. neuro delivers across enterprise, digital, and agile landscapes to transform engineering, product, and quality management. We help leaders eliminate waste, realize value, and align decisions with business priorities and goals to deliver results. Fast integration to optimize your existing tool stack.Starting Price: $45.99 per month -
23
amazee.ai
amazee.ai
amazee.ai provides Sovereign AI Infrastructure engineered for highly regulated enterprises. Unlike public cloud AI, we deliver dedicated inference isolation, ensuring that proprietary data and LLMs operate in a secure, customer-controlled environment. The platform features a Private AI Assistant that enables secure processing of sensitive internal documents, CRM records, and support data without data ever exiting your firewall or contributing to external model training. With a "Privacy-by-Design" architecture, you can select specific regional enclaves (including CH, DE, and the USA) to meet strict GDPR, HIPAA, and CCPA data residency requirements. By leveraging a transparent, open source foundation, we eliminate vendor lock-in, providing a future-proof gateway to state-of-the-art models such as Claude, GPT-4, and Mistral. It serves as an essential compliance layer for finance, healthcare, and government sectors seeking to leverage generative AI without compromising data sovereignty.Starting Price: Free Trial -
24
Orby
Orby
Orby’s enterprise AI automation fundamentally transforms the way your teams perform, empowering enterprise efficiency and automation at scale. Orby’s Generative Process Automation (GPA) dramatically increases the scope and breadth of what can be automated, and significantly decreases the cost and complexity of enterprise automation, reducing time-to-value from months to minutes. Orby’s enterprise-purposed foundation model can understand context, and reason, and make intelligent decisions, learning from and operating the same as your most experienced and efficient team members. Orby’s generative AI platform is the only solution available today that combines a multimodal Large Action Model (LAM) and sophisticated AI agents with state-of-the-art neuro-symbolic programming. Seamlessly observes the process as it’s being performed, with no manual intervention. AI Agent learns all required steps and applications, and documents interdependencies. -
25
SquareFactory
SquareFactory
End-to-end project, model and hosting management platform, which allows companies to convert data and algorithms into holistic, execution-ready AI-strategies. Build, train and manage models securely with ease. Create products that consume AI models from anywhere, any time. Minimize risks of AI investments, while increasing strategic flexibility. Completely automated model testing, evaluation deployment, scaling and hardware load balancing. From real-time, low-latency, high-throughput inference to batch, long-running inference. Pay-per-second-of-use model, with an SLA, and full governance, monitoring and auditing tools. Intuitive interface that acts as a unified hub for managing projects, creating and visualizing datasets, and training models via collaborative and reproducible workflows. -
26
NeuroICH
NeuroCareAI
NeuroICH is an AI module capable of detecting cerebral hemorrhage. This is a critical step in identifying and treating stroke patients. Quick assessment and imaging interpretation are essential, as "time is brain," and this technology has the potential to save lives and prevent disabilities due to stroke. It is now FDA SaMD Approved. -
27
IntelliSpace
Philips
IntelliSpace Portal 9.0, with over 70 clinical applications in total, is an advanced visualization platform that offers a single integrated solution to help you work quickly and efficiently with increased diagnostic confidence – especially during reading and follow-up of multi-faceted cases. With the aging population, neurodegenerative disease is on the rise worldwide. Since neurological disorders are often chronic, patients require long-term follow-up, but changes in the brain can be subtle and hard to detect. IntelliSpace Portal 9.0 offers a host of new and enhanced neuro applications such as NeuroQuant®¹,LoBi and CT Brain Perfusion. These tools are designed to facilitate rapid, objective, quantitative and consistent image evaluation. Given the increasing interest in pulmonary care, IntelliSpace Portal 9.0 offers you one comprehensive toolset to help you track pulmonary disease from detection to follow-up. -
28
Fortanix Confidential AI
Fortanix
Fortanix Confidential AI is a unified platform that enables data teams to process sensitive datasets and run AI/ML models entirely within confidential computing environments, combining managed infrastructure, software, and workflow orchestration to maintain organizational privacy compliance. The service offers readily available, on-demand infrastructure powered by Intel Ice Lake third-generation scalable Xeon processors and supports execution of AI frameworks inside Intel SGX and other enclave technologies with zero external visibility. It delivers hardware-backed proofs of execution and detailed audit logs for stringent regulatory requirements, secures every stage of the MLOps pipeline, from data ingestion via Amazon S3 connectors or local uploads through model training, inference, and fine-tuning, and provides broad model compatibility. -
29
Hugging Face Transformers
Hugging Face
Transformers is a library of pretrained natural language processing, computer vision, audio, and multimodal models for inference and training. Use Transformers to train models on your data, build inference applications, and generate text with large language models. Explore the Hugging Face Hub today to find a model and use Transformers to help you get started right away. Simple and optimized inference class for many machine learning tasks like text generation, image segmentation, automatic speech recognition, document question answering, and more. A comprehensive trainer that supports features such as mixed precision, torch.compile, and FlashAttention for training and distributed training for PyTorch models. Fast text generation with large language models and vision language models. Every model is implemented from only three main classes (configuration, model, and preprocessor) and can be quickly used for inference or training.Starting Price: $9 per month -
30
Wikimedia Enterprise
Wikimedia Enterprise
Retrieve data from Wikimedia projects in any language, access metadata packaged exclusively for Wikimedia Enterprise, and detect vandalism or important updates at the article level. Unleash the potential within your own organization. Use Wikimedia Enterprise to build knowledge graphs, voice assistants or bots, training models, massive enriched datasets, and so much more. Access one of the largest public data sources on the internet with a single unified structure and guaranteed availability. Great for voice assistants, populating search engines, training machine learning models, augmenting private data sets, and much more. Enable your entire organization with a knowledge graph that can be consumed across teams.Starting Price: $.01 per request -
31
GPT-4
OpenAI
GPT-4 (Generative Pre-trained Transformer 4) is a large-scale unsupervised language model, yet to be released by OpenAI. GPT-4 is the successor to GPT-3 and part of the GPT-n series of natural language processing models, and was trained on a dataset of 45TB of text to produce human-like text generation and understanding capabilities. Unlike most other NLP models, GPT-4 does not require additional training data for specific tasks. Instead, it can generate text or answer questions using only its own internally generated context as input. GPT-4 has been shown to be able to perform a wide variety of tasks without any task specific training data such as translation, summarization, question answering, sentiment analysis and more.Starting Price: $0.0200 per 1000 tokens -
32
Kled
Kled
Kled is a secure, crypto-powered AI data marketplace that connects content rights holders with AI developers by providing high‑quality, ethically sourced datasets, spanning video, audio, music, text, transcripts, and behavioral data, for training generative AI models. It handles end-to-end licensing: it curates, labels, and rates datasets for accuracy and bias, manages contracts and payments securely, and offers custom dataset creation and discovery via a marketplace. Rights holders can upload original content, choose licensing terms, and earn KLED tokens, while developers gain access to premium data for responsible AI model training. Kled also supplies monitoring and recognition tools to ensure authorized usage and to detect misuse. Built for transparency and compliance, the system bridges IP owners and AI builders through a powerful yet user-friendly interface. -
33
Symage
Symage
Symage is a synthetic data platform that generates custom, photorealistic image datasets with automated pixel-perfect labeling to support training and improving AI and computer vision models; using physics-based rendering and simulation rather than generative AI, it produces high-fidelity synthetic images that mirror real-world conditions and handle diverse scenarios, lighting, camera angles, object motion, and edge cases with controlled precision, which helps eliminate data bias, reduce manual labeling, and dramatically cut data preparation time by up to 90%. Designed to give teams the right data for model training rather than relying on limited real datasets, Symage lets users tailor environments and variables to match specific use cases, ensuring datasets are balanced, scalable, and accurately labeled at every pixel. It is built on decades of expertise in robotics, AI, machine learning, and simulation, offering a way to overcome data scarcity and boost model accuracy. -
34
Holo2
H Company
H Company’s Holo2 model family delivers cost-efficient, high-performance vision-language models tailored for computer-use agents that navigate, localize UI elements, and act across web, desktop, and mobile environments. The series, available in 4 B, 8 B, and 30 B-A3B sizes, builds on their earlier Holo1 and Holo1.5 models, retaining strong UI grounding while significantly enhancing navigation capabilities. Holo2 models use a mixture-of-experts (MoE) architecture, activating only necessary parameters, to optimize efficiency. Trained on curated localization and agent datasets, they can be deployed as drop-in replacements for their predecessors. They support seamless inference in frameworks compatible with Qwen3-VL models and can be integrated into agentic pipelines like Surfer 2. In benchmark testing, Holo2-30B-A3B achieved 66.1% accuracy on ScreenSpot-Pro and 76.1% on OSWorld-G, leading the UI localization category. -
35
Elements Contrast Clearance Analysis
Brainlab
Brainlab's Elements Contrast Clearance Analysis is an MRI-based methodology designed to differentiate regions of contrast clearance and accumulation in brain tumor datasets. This high-resolution analysis provides additional insights to support ongoing assessment and decision-making in clinical specialties such as radiosurgery, radiation oncology, neurosurgery, neuro-oncology, and neuroradiology. The process involves acquiring two standard 3D T1-weighted MRIs, one approximately 5 minutes and another 60 to 105 minutes after the injection of a standard dose of contrast agent. The first series is subtracted from the second to generate volumetric maps that distinguish regions of contrast clearance (depicted in blue) from contrast accumulation (depicted in red). These results enable clinicians to assess radiation effects versus tumor regrowth, facilitating more informed decisions for initial and follow-up treatments. -
36
Ultralytics
Ultralytics
Ultralytics offers a full-stack vision-AI platform built around its flagship YOLO model suite that enables teams to train, validate, and deploy computer-vision models with minimal friction. The platform allows you to drag and drop datasets, select from pre-built templates or fine-tune custom models, then export to a wide variety of formats for cloud, edge or mobile deployment. With support for tasks including object detection, instance segmentation, image classification, pose estimation and oriented bounding-box detection, Ultralytics’ models deliver high accuracy and efficiency and are optimized for both embedded devices and large-scale inference. The product also includes Ultralytics HUB, a web-based tool where users can upload their images/videos, train models online, preview results (even on a phone), collaborate with team members, and deploy via an inference API. -
37
Synetic
Synetic
Synetic AI is a platform that accelerates the creation and deployment of real-world computer vision models by automatically generating photorealistic synthetic training datasets with pixel-perfect annotations and no manual labeling required, using advanced physics-based rendering and simulation to eliminate the traditional gap between synthetic and real-world data and achieve superior model performance. Its synthetic data has been independently validated to outperform real-world datasets by an average of 34% in generalization and recall, covering unlimited variations like lighting, weather, camera angles, and edge cases with comprehensive metadata, annotations, and multi-modal sensor support, enabling teams to iterate instantly and train models faster and cheaper than traditional approaches; Synetic AI supports common architectures and export formats, handles edge deployment and monitoring, and can deliver full datasets in about a week and custom trained models in a few weeks. -
38
CodeGemma
Google
CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following. CodeGemma has 3 model variants, a 7B pre-trained variant that specializes in code completion and generation from code prefixes and/or suffixes, a 7B instruction-tuned variant for natural language-to-code chat and instruction following; and a state-of-the-art 2B pre-trained variant that provides up to 2x faster code completion. Complete lines, and functions, and even generate entire blocks of code, whether you're working locally or using Google Cloud resources. Trained on 500 billion tokens of primarily English language data from web documents, mathematics, and code, CodeGemma models generate code that's not only more syntactically correct but also semantically meaningful, reducing errors and debugging time. -
39
Amazon Nova Forge
Amazon
Amazon Nova Forge is a groundbreaking service that enables organizations to build their own frontier models by leveraging early Nova checkpoints and proprietary data. It provides complete flexibility across the full training lifecycle, including pre-training, mid-training, supervised fine-tuning, and reinforcement learning. With access to Nova-curated datasets and responsible AI tooling, customers can create powerful and safer custom models tailored to their domain. Nova Forge allows teams to mix their own datasets at the peak learning stage to maximize accuracy while preventing catastrophic forgetting. Companies across industries—from Reddit to Sony—use Nova Forge to consolidate ML workflows, accelerate innovation, and outperform specialized models. Hosted securely on AWS, it offers the most cost-effective, streamlined path to building next-generation AI systems. -
40
LLaVA
LLaVA
LLaVA (Large Language-and-Vision Assistant) is an innovative multimodal model that integrates a vision encoder with the Vicuna language model to facilitate comprehensive visual and language understanding. Through end-to-end training, LLaVA exhibits impressive chat capabilities, emulating the multimodal functionalities of models like GPT-4. Notably, LLaVA-1.5 has achieved state-of-the-art performance across 11 benchmarks, utilizing publicly available data and completing training in approximately one day on a single 8-A100 node, surpassing methods that rely on billion-scale datasets. The development of LLaVA involved the creation of a multimodal instruction-following dataset, generated using language-only GPT-4. This dataset comprises 158,000 unique language-image instruction-following samples, including conversations, detailed descriptions, and complex reasoning tasks. This data has been instrumental in training LLaVA to perform a wide array of visual and language tasks effectively.Starting Price: Free -
41
Simplismart
Simplismart
Fine-tune and deploy AI models with Simplismart's fastest inference engine. Integrate with AWS/Azure/GCP and many more cloud providers for simple, scalable, cost-effective deployment. Import open source models from popular online repositories or deploy your own custom model. Leverage your own cloud resources or let Simplismart host your model. With Simplismart, you can go far beyond AI model deployment. You can train, deploy, and observe any ML model and realize increased inference speeds at lower costs. Import any dataset and fine-tune open-source or custom models rapidly. Run multiple training experiments in parallel efficiently to speed up your workflow. Deploy any model on our endpoints or your own VPC/premise and see greater performance at lower costs. Streamlined and intuitive deployment is now a reality. Monitor GPU utilization and all your node clusters in one dashboard. Detect any resource constraints and model inefficiencies on the go. -
42
OCI Data Labeling
Oracle
OCI Data Labeling is a service that enables developers and data scientists to build accurately labelled datasets for training AI and machine-learning models. It supports documents (PDF, TIFF), images (JPEG, PNG), and text, allowing users to upload raw data, apply annotations (such as classification labels, object-detection bounding boxes, or key-value pairs), and export the results in line-delimited JSON for seamless integration into model-training workflows. The service offers custom templates for different annotation formats, user interfaces, and public APIs for dataset creation and management, and smooth interoperability with other data and AI services, so annotated data can feed directly into custom vision or language models, as well as Oracle’s AI services. OCI Data Labeling lets users create a dataset, generate records, annotate them, and then use the export snapshot for model development.Starting Price: $0.0002 per 1,000 transactions -
43
Reka
Reka
Our enterprise-grade multimodal assistant carefully designed with privacy, security, and efficiency in mind. We train Yasa to read text, images, videos, and tabular data, with more modalities to come. Use it to generate ideas for creative tasks, get answers to basic questions, or derive insights from your internal data. Generate, train, compress, or deploy on-premise with a few simple commands. Use our proprietary algorithms to personalize our model to your data and use cases. We design proprietary algorithms involving retrieval, fine-tuning, self-supervised instruction tuning, and reinforcement learning to tune our model on your datasets. -
44
EyeFlow
SiliconLIFE
An easy to use, cloud platform, with high speed performance for Computer Vision + AI models development. Build data sets, upload videos and images, customize flows and use your datasets to train the model for performing various actions. Save time and improve business performance by optimizing results. EyeFlow is a video analytic and artificial intelligence platform that boost business solutions to optimize performance, cost and efficiency of companies. Upload your videos or images, identify and fill in what you want to detect, train the neural network and start using. EyeFlow platform for executing models in edge computing, through an end-point or on a local device. -
45
Qwen-7B
Alibaba
Qwen-7B is the 7B-parameter version of the large language model series, Qwen (abbr. Tongyi Qianwen), proposed by Alibaba Cloud. Qwen-7B is a Transformer-based large language model, which is pretrained on a large volume of data, including web texts, books, codes, etc. Additionally, based on the pretrained Qwen-7B, we release Qwen-7B-Chat, a large-model-based AI assistant, which is trained with alignment techniques. The features of the Qwen-7B series include: Trained with high-quality pretraining data. We have pretrained Qwen-7B on a self-constructed large-scale high-quality dataset of over 2.2 trillion tokens. The dataset includes plain texts and codes, and it covers a wide range of domains, including general domain data and professional domain data. Strong performance. In comparison with the models of the similar model size, we outperform the competitors on a series of benchmark datasets, which evaluates natural language understanding, mathematics, coding, etc. And more.Starting Price: Free -
46
auticon
auticon
Auticon's Neurodiversity Inclusion Maturity Assessment is a comprehensive evaluation designed to help organizations understand their current level of neuroinclusion and identify areas for improvement. Utilizing their proprietary cloud-based tool, the assessment examines various aspects of the employee lifecycle, including recruitment, onboarding, development, and retention, to establish a baseline and provide data-driven insights. The process involves live interviews, two anonymous surveys, and a review of organizational materials to assess existing support for neurodivergent team members. Following data collection, Auticon delivers a detailed report highlighting strengths and gaps, conducts an interactive workshop to discuss findings, and collaborates with stakeholders to design a tailored pathway for enhanced neuro inclusion. This structured approach ensures that organizations can implement significant and impactful changes, fostering a more inclusive environment. -
47
Claudia by Neuro
Neuro Notion
Neuro is the world’s first AI personal assistant for adults with ADHD. Think Jarvis from Iron Man, but for ADHD Brains. It’s a voice-first platform that turns chaotic thoughts (via voice conversation) of an ADHDer into streamlined organization. All the user does is braindump and the system handles the rest for them, showing them what they need to know when they need to know it. -
48
Ludwig
Uber AI
Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks. Build custom models with ease: a declarative YAML configuration file is all you need to train a state-of-the-art LLM on your data. Support for multi-task and multi-modality learning. Comprehensive config validation detects invalid parameter combinations and prevents runtime failures. Optimized for scale and efficiency: automatic batch size selection, distributed training (DDP, DeepSpeed), parameter efficient fine-tuning (PEFT), 4-bit quantization (QLoRA), and larger-than-memory datasets. Expert level control: retain full control of your models down to the activation functions. Support for hyperparameter optimization, explainability, and rich metric visualizations. Modular and extensible: experiment with different model architectures, tasks, features, and modalities with just a few parameter changes in the config. Think building blocks for deep learning. -
49
CHAI
CHAI
We're building the leading platform for chat AI. We started with a proprietary dataset of billions of chat messages, and we spent over $3 million to train uniquely engaging language models. Now millions of people routinely chat on our platform. We obsessively optimize our language models, continually making them more entertaining than ever before. Discover chat AIs from around the globe, and speak with them to discover their capabilities. Millions of people chatting, creating, and sharing chat AI personalities. We are empowering our community to create and experience the world's most entertaining chat AI. Our models are trained on billions of tokens and millions of reward signals generated by our users. By running AB tests with real users, our latest model surpasses OpenAI ChatGPT's performance measured by session screen time. We create and optimize our own language models, we are continually training our models on our proprietary chat message dataset.Starting Price: Free -
50
Deep Block
Omnis Labs
Deep Block is the world's fastest AI-powered remote sensing imagery analysis solution. Train your own AI models to detect instantly any objects in large satellite, aerial, and drone images. Deep Block's no-code data labeling interface lets you achieve your MLOps projects in days, with no prior expertise. Instead of hiring your own in-house AI engineering team, anybody can start training their own AI. If you have a mouse and a keyboard, you can use our web-based platform, check our project library for inspiration, and choose between 9 out-of-the-box AI training modules (image segmentation, object detection, facial detection, facial comparison…) to get you started. The power of Deep Block is not limited to training your own AI. Once, your AI model is ready, Deep Block's high-performance AI models can deliver very accurate results when detecting objects (0.9 mAP) and with minimum false positives (0.9 recall).Starting Price: $10 per month
