Alternatives to Learnable.ai
Compare Learnable.ai alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Learnable.ai in 2026. Compare features, ratings, user reviews, pricing, and more from Learnable.ai competitors and alternatives in order to make an informed decision for your business.
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1
Cogwise
Cogwise
CogwiseAI uses a generative model to produce text-based replies to user inputs. The model comprehends the patterns and relationships in human language due to its training on a vast corpus of text data. Our technology involves the use of sophisticated machine learning algorithms to analyze blockchain data in order to make informed trading decisions. This type of AI trading can help investors and traders to identify trends, predict market movements, and make profitable trades based on real-time data. Creating virtual characters using an AI bot involves using machine learning and natural language processing technologies to generate and develop characters that can interact with humans in a virtual environment. Our trained model offers insights on blockchain, crypto, and global topics, real-time analysis, predictions, and notifications for traders. It identifies trading opportunities, provides automated execution, and customizable strategies for profit maximization. -
2
AgentFlow
Multimodal
AgentFlow is an agentic AI platform that automates workflows for finance and insurance companies. The platform includes modular AI agents, such as Document AI, Decision AI, and Report AI, each specializing in different stages of regulated workflows: triage, diligence, decisioning, and reporting. AgentFlow orchestrates multiple AI agents with human supervisors and third-party systems, enabling deep transformation of how work gets done. The platform features self-learning capabilities that allow AI agents to improve over time based on subject matter experts' feedback and provides transparency through explainability features that help users understand the reasoning behind AI-driven decisions. Every action and output is fully auditable, ensuring compliance with the strict standards of regulated industries. Its main mission is to codify tacit internal knowledge in order to reliably augment high-leverage workflows and preserve the know-how across generations of talent. -
3
MediaSpeech
ChapsVision
Exploit the richness of speech, a source of information and interaction. Based on deep neural learning, MediaSpeech by ChapsVision offers a fine and precise transcription of your audios and videos. If the digital undoubtedly occupies a growing place in the Customer Relationship, the telephone remains essential. The analysis of agent-customer conversations is essential for the proper consideration of the reasons for calling but also allows access to a wealth of strategic information, from the evaluation of satisfaction to the detection of trends, in going through competition monitoring through their unsolicited mentions. The regulatory inflation of the last decade requires constant reinforcement of the compliance function, both in human and technological terms. The obligation to take into account telephone communications calls for new means, in particular the ability to process voice flows to detect sensitive elements or to reconstruct a given transaction. -
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Tackle Ai
Tackle Ai
Capture, comprehend and identify not only types of documents, but business critical information contained within those documents, all automatically. Tackle Ai works with structured, unstructured, highly variable documents and images without any need for human interaction. Tackle Ai quickly enables businesses to gain a richer, more meaningful understanding of their information, while greatly reducing labor and document management expenses for businesses. What used to take humans or other software hours or days, Tackle Ai completes in mere seconds, at a fraction of the cost. Automatically identifies critical information, understands the context of information, and learns the differences between documents. It is faster, completes 10,000 documents in seconds, and there's no new software for employees to learn. Handles virtually any client requests, like auto redaction, data extraction, auto filing, etc. -
5
Qwen2.5-Max
Alibaba
Qwen2.5-Max is a large-scale Mixture-of-Experts (MoE) model developed by the Qwen team, pretrained on over 20 trillion tokens and further refined through Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF). In evaluations, it outperforms models like DeepSeek V3 in benchmarks such as Arena-Hard, LiveBench, LiveCodeBench, and GPQA-Diamond, while also demonstrating competitive results in other assessments, including MMLU-Pro. Qwen2.5-Max is accessible via API through Alibaba Cloud and can be explored interactively on Qwen Chat.Starting Price: Free -
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Dataroid
Dataroid
Enterprise-level digital analytics and customer engagement platform that helps you enhance every customer interaction and deliver a better experience with data-driven insight. Comprehend and enhance every customer interaction. Take real-time actions. Start delivering a better experience. Collect customer behavioral data across your channels automatically from day 1 – without custom development. See each individual customer interaction under a unified customer profile. Analyze customer paths and journeys with visual dashboards. Deep dive into the reason behind with out-of-the box analytics reporting and Dataroid’s data lake. Measure real-time engagement metrics for your communication. Use Dataroid to better understand your customer behavior, enhance digital product experience, and drive retention. -
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ScriptBook
ScriptBook AI
ScriptBook provides artificially intelligent script analysis, AI-driven content validation & automated story generation. Applied machine learning and natural language processing allow ScriptBook to focus on the storytelling metric. The unique value of our intuitive technology lies in the improvement of the human greenlighting process, eliminating false positives and bias while maximizing a film's potential for critical and commercial success. AI is making progress in the process of creating stories. At ScriptBook, we have been building AI that analyzes and comprehends screenplays for decision support for several years now. By transferring key features from our decision support AI to DeepStory, our generative AI, we are able to take important steps towards developing a worthy artificial co-creator for generating stories. -
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AI CERTs
AI CERTs
AI CERTs offers role-based, industry-relevant certification programs in artificial intelligence and blockchain, designed to make AI education accessible to both technical and non-technical individuals. It provides a broad catalog of learning paths and credentials. Among its offerings is the “AI+ Developer” certification, which guides learners through Python programming, data processing, machine learning, deep learning, NLP, computer vision, reinforcement learning, time-series analysis, model explainability, and cloud deployment, providing hands-on projects, labs, and an online proctored exam to validate competence. It also supports flexible modes of learning: self-paced or instructor-led, enabling learners to adapt their study to their schedule. AI CERTs aims to close the AI skills gap by offering updated curricula designed by industry and academic experts, continuously revised to match emerging industry needs.Starting Price: Free -
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Project Mariner
Google DeepMind
Project Mariner is a research prototype developed by Google DeepMind, built upon their advanced AI model, Gemini 2.0. It explores the future of human-agent interaction by automating tasks within a user's browser. Leveraging multimodal understanding, Project Mariner comprehends and reasons across various browser elements, including text, code, images, and forms. This enables it to navigate complex websites, automate repetitive tasks, and provide visual feedback to users. The system can interpret voice instructions and offers updates on task progress, ensuring users remain informed and in control. Additionally, Project Mariner can follow complex instructions by breaking them down into actionable steps, understanding relationships between web elements, and providing clear plans and actions to users. Currently, Project Mariner is in the testing phase with a select group of trusted users. Those interested in participating can join the waitlist for future testing opportunities. -
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PyBullet
PyBullet
PyBullet is a Python module for physics simulation, robotics, and deep reinforcement learning, built on the Bullet Physics SDK. It supports loading articulated bodies from URDF, SDF, and other formats, providing forward dynamics simulation, inverse dynamics computation, kinematics, collision detection, and ray intersection queries. PyBullet offers rendering capabilities, including a CPU renderer and OpenGL visualization, with support for virtual reality headsets. It is utilized in various research projects, such as Assistive Gym, which leverages PyBullet for physical human-robot interaction and assistive robotics, supporting collaborative robots and physically assistive tasks. Another project, Kubric, is an open source Python framework interfacing with PyBullet and Blender to generate photo-realistic scenes with rich annotations, scaling to large jobs distributed over thousands of machines. -
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AfterQuery
AfterQuery
AfterQuery is an applied research platform designed to create high-quality training data for frontier artificial intelligence models by capturing how real experts think, reason, and solve problems in professional contexts. It focuses on transforming real-world work into structured datasets that go beyond simple outputs, encoding decision-making processes, tradeoffs, and contextual reasoning that traditional internet-sourced data cannot provide. It works directly with domain experts to generate supervised fine-tuning data, including prompt–response pairs and detailed reasoning traces, as well as reinforcement learning datasets with expert-designed prompts and grading frameworks that convert subjective judgment into scalable reward signals. It also builds custom agent environments across APIs and tools, enabling models to be trained and evaluated in realistic workflows, and captures computer-use trajectories that demonstrate how humans interact with software step by step. -
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ReinforceNow
ReinforceNow
ReinforceNow is an end-to-end platform for continual learning with AI agents, built to help teams deploy, train, and repeat. It lets developers build AI agents and continuously train them on production traffic, or let Claude Code help set it up automatically. It handles reinforcement learning infrastructure, experiment orchestration, agent versioning, GPU training logic, and telemetry, so teams can focus on agent logic, data collection, and rewards. ReinforceNow supports fast LLM fine-tuning with LoRA, high-throughput training, and wide model support for open source models like Qwen, DeepSeek, and GPT-OSS. It provides advanced telemetry to evaluate, monitor, and iterate on AI agent LLM applications, with traces, rewards, experiment metrics, and training observability. Teams can train on long-horizon tasks with 32k to 1 million context size, build vertical agents for multi-turn and long-running tasks, and use rich tooling for reinforcement learning workflows. -
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Nextnet
Nextnet
Do not spend your valuable time searching through different databases or worrying about different data formats or arcane queries. Instead, spend your time applying your intuition and domain expertise to discover new insights and follow the scientific leads that you think are interesting. We built Nextnet, a digital infrastructure, leveraging recent breakthroughs in natural language and explainable AI, software, graph databases, and, human-in-the-loop reinforcement learning to accelerate scientific discovery and R&D. We are building the largest, human-curated reinforcement learning data set for determining the relevance of scientific topics to each other. Use a single point of access via Sapiens’ single search box that allows you to reach out and touch upon knowledge scattered across disparate data sources. Search not only for what you know (via simple search); but discover the things you don’t know (via advanced conceptual search) using our persistent knowledge network. -
14
Kognito
Kognito
Our experiential learning approach blends the science of education, the art of conversation, and the power of gaming technology. Our products use several evidence-based models and learning methodologies to improve mental health and well-being. Users interact with our platform through virtual lessons and practice-based conversation experiences with emotionally-responsive virtual humans. In a simulated, safe environment, users can actively “learn by doing” and learn through making mistakes. They receive personalized feedback, and their experience in our platform is tailored to their own, individual pathway. We employ key models, theories, and learning design principles including motivational interviewing, shared decision-making, emotional self-regulation, empathy, empathic accuracy, reappraisal strategy, active learning, inquiry-based learning, situated cognition, personalization, cueing, and storytelling. -
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Amity Voice
Amity Solutions
Experience the future of business and unlock efficiency and innovation with our revolutionary AI-powered voicebot and chatbot solutions. Experience the future of communication with free speech and text interactions, allowing customers to express themselves naturally. Command our bots using speech and receive text responses effortlessly. Boost your operations and engage customers like never before. Our solutions accurately comprehend user intent, and skillfully deliver human-like responses and contextually relevant interactions. Welcome to a new era of customer service. Chatbots streamline operations, scale effortlessly, and reduce the need for additional staff, ensuring efficient and cost-effective customer service. With the ability to support high volumes of interactions, we're here to grow alongside your ambitions. Check available flights, movie showtimes, branch information, and promotions. -
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RDC Platform
Rich Data Co
The RDC Platform augments expert human knowledge with AI capabilities, providing financial institutions a competitive edge in lending. Embedded with AI ethical principles to ensure compliance, our tooling allows lenders to visualize and understand the logic behind every AI predictive model and decision strategy. Leverage traditional, alternative, and latent data with leading AI techniques to make accurate predictions and achieve optimal decision outcomes. We understand your need to safely leverage AI. We have a unique method to provide confidence and transparency in meeting your objectives for safety, we call this the Self-describing decision. Contained in a single data object, every element is explained. All model features and predictions, all reference data, and all rules triggered. A self-describing decision is a complete record of all the information used to generate a decision outcome. Governance and explainability, are baked in. Every time. -
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DeepSeek-V3.2
DeepSeek
DeepSeek-V3.2 is a next-generation open large language model designed for efficient reasoning, complex problem solving, and advanced agentic behavior. It introduces DeepSeek Sparse Attention (DSA), a long-context attention mechanism that dramatically reduces computation while preserving performance. The model is trained with a scalable reinforcement learning framework, allowing it to achieve results competitive with GPT-5 and even surpass it in its Speciale variant. DeepSeek-V3.2 also includes a large-scale agent task synthesis pipeline that generates structured reasoning and tool-use demonstrations for post-training. The model features an updated chat template with new tool-calling logic and the optional developer role for agent workflows. With gold-medal performance in the IMO and IOI 2025 competitions, DeepSeek-V3.2 demonstrates elite reasoning capabilities for both research and applied AI scenarios.Starting Price: Free -
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Amazon Comprehend
Amazon
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required. There is a treasure trove of potential sitting in your unstructured data. Customer emails, support tickets, product reviews, social media, even advertising copy represents insights into customer sentiment that can be put to work for your business. The question is how to get at it? As it turns out, Machine learning is particularly good at accurately identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost limitless scale. Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data. -
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MathGPT.ai
MathGPT.ai
MathGPT.ai is an AI-driven, cheat-proof math tutoring and course management platform that seamlessly combines a smart course creator with an AI tutor and assignment manager. Educators can integrate pre-loaded OER content, upload custom textbooks, lecture notes, or other resources, then deliver interactive learning experiences as students work directly “within” their materials. The platform guides students through problems using step-by-step reasoning, personalized coaching, and real-time feedback to build deep understanding and confidence. Its proprietary, deterministic AI model is specifically optimized for high accuracy in mathematical reasoning, avoiding typical LLM approximations. Trusted by classrooms, it also features live demos that show how it solves problems and adapts to learning styles, while reinforcing STEM education through curriculum-aligned, infinitely patient instruction.Starting Price: $25 per month -
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Kaspersky Security Awareness
Kaspersky
Kaspersky Security Awareness is a comprehensive training program designed to equip employees with essential cybersecurity skills to protect organizations from cyber threats. The program offers flexible training solutions tailored to various organizational needs. The training encompasses various components to ensure effective learning, such as motivation, engagement, assessments, and reinforcement. Interactive elements like the Kaspersky Interactive Protection Simulation (KIPS) game challenge decision-makers perceptions of cybersecurity and enhance cooperation between business units. The Gamified Assessment Tool quickly measures employees' cybersecurity skills, while the Automated Security Awareness Platform delivers practical and engaging lessons through automated training management. For decision-makers, the online training provides insights into the cybersecurity landscape and its connection to business efficiency. -
21
Gemini 2.5 Deep Think
Google
Gemini 2.5 Deep Think is an enhanced reasoning mode within the Gemini 2.5 family that uses extended, parallel thinking and novel reinforcement learning techniques to tackle complex, multi-step problems in areas like math, coding, science, and strategic planning by generating and evaluating multiple lines of thought before responding, producing more detailed, creative, and accurate answers with support for longer replies and built-in tool integration (e.g., code execution and web search). Its performance shows state-of-the-art results on rigorous benchmarks, including LiveCodeBench V6 and Humanity’s Last Exam, and it demonstrates notable gains over previous versions in challenging domains, with internal evaluations also indicating improved content safety and tone-objectivity, though with a higher tendency to decline benign requests; Google is conducting frontier safety evaluations and implementing mitigations to manage risks as the model’s capabilities advance. -
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Marketrix
Marketrix.ai
Redefining Customer Experiences with Multimodal AI and Intelligent Interactions. Marketrix’s Twin Avatars use advanced emotional intelligence to understand and respond to customer emotions in real-time, ensuring efficient and empathetic interactions. Our AI deeply comprehends your website or product’s layout, guiding users intuitively through its spatial structure to enhance their experience. Providing smart, context-aware assistance at every step, tailored to user behavior. Understanding customer emotions in real-time to deliver personalized, empathetic responses. Crafting conversations with the perfect tone to make every interaction feel natural and comforting. Enable Co-browsing sessions with our AI Avatars or Human Agents. Understand your realtime traffic better to driver towards realtime conversions -
23
micro1
micro1
micro1 Intelligence is an AI data research company that develops high-quality human data, evaluation platforms, and training environments to advance frontier AI models and autonomous agents. The company builds infrastructure that combines expert human knowledge with realistic scenarios to improve reasoning, decision-making, and real-world AI performance. Its platform includes Realm for reinforcement learning environments, Cortex for contextual AI agent evaluation, and Robotics for collecting high-fidelity real-world robotics data. micro1 also conducts research into human data markets, AI benchmarking, extraction systems, and model evaluation methodologies. Through expert networks and data partnerships, the company generates specialized datasets that help train and validate advanced AI systems. micro1 Intelligence helps AI organizations build more capable, reliable, and production-ready intelligent systems through expert-driven data and research. -
24
Phrazor
vPhrase Analytics Solutions Pvt Ltd
Phrazor summarises data into a few bullet points, highlighting key insights required for decision-making. It helps enterprises make their reports and insights easier to comprehend by writing a narrative along with each report. With Phrazor, you don't have to spend time analyzing numbers. Phrazor writes language to explain the key insights in words. Business users and their data questions are too many, analysts available to provide answers are too few. Bottlenecks and frustration are common. To understand, tables of data need to be analyzed and charts need to be interpreted. However, language just needs to be read. Deep insights and relationships between data points can only be communicated using language. Charts and tables don’t help. Transformer-based language models that can generate rich and cohesive insights. -
25
DeepNLP
SparkCognition
SparkCognition, a leading industrial AI company, has developed a natural language processing solution that automates workflows of unstructured data within organizations so humans can focus on high-value business decisions. The DeepNLP product uses advanced machine learning techniques to automate the retrieval of information, the classification of documents, and content analytics. The DeepNLP product integrates into existing workflows to enable organizations to better respond to changes in their business and quickly get answers to specific queries or analytics that support decision-making. -
26
AWS RoboMaker
Amazon
AWS RoboMaker is a cloud-based simulation service that enables robotics developers to run, scale, and automate simulations without managing any infrastructure. It allows for cost-effective scaling and automation of simulation workloads, supports large-scale and parallel simulations with a single API call, and facilitates the creation of user-defined, randomized 3D virtual environments. Developers can perform automated regression testing within a continuous integration and continuous delivery pipelines, train reinforcement learning models through extensive iterative trials, and connect multiple concurrent simulations to fleet management software for comprehensive testing. By integrating with AWS machine learning, monitoring, and analytics services, AWS RoboMaker enables robots to stream data, navigate, communicate, comprehend, and learn. Connect multiple concurrent simulations to your fleet management software for testing. -
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DeepSeek-V3.2-Speciale
DeepSeek
DeepSeek-V3.2-Speciale is a high-compute variant of the DeepSeek-V3.2 model, created specifically for deep reasoning and advanced problem-solving tasks. It builds on DeepSeek Sparse Attention (DSA), a custom long-context attention mechanism that reduces computational overhead while preserving high performance. Through a large-scale reinforcement learning framework and extensive post-training compute, the Speciale variant surpasses GPT-5 on reasoning benchmarks and matches the capabilities of Gemini-3.0-Pro. The model achieved gold-medal performance in the International Mathematical Olympiad (IMO) 2025 and International Olympiad in Informatics (IOI) 2025. DeepSeek-V3.2-Speciale does not support tool-calling, making it purely optimized for uninterrupted reasoning and analytical accuracy. Released under the MIT license, it provides researchers and developers an open, state-of-the-art model focused entirely on high-precision reasoning.Starting Price: Free -
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Delight your customers with human-like AI-powered contact center experiences, lower costs, and free up your human agents' time. Contact Center AI enables you to do just that. Free human agents to focus on more difficult and specialized calls, providing them with real-time information, workflows, and turn-by-turn guidance. Deliver lifelike customer experiences that support accurate multi-turn conversations, built with deep learning technologies powered by Google Assistant. Turn your conversations into insights through analytics and reporting that uncover key call drivers, customer sentiment, and more. Enable rich and conversational experiences with AI-powered capabilities. Contact Center AI offers natural interactions that redefine the possibilities of AI-powered conversation. Empower your teams with actionable insights. Enable natural interactions with virtual agents. Create agents that are superheroes for your customers.
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GeeTest
GeeTest
Traditional captcha identifies bots from legitimate users with cognitive challenge. Humans are good at visual recognition task such as image or item recognition, whereas machines not. However, with the development of machine learning, machines are also capable of these cognition tasks. To defend against the sophisticated bot threats, traditional CAPTCHA has to be harder, which leads to high user friction and translates to reduced conversion rates. To solve the security vs user experience problem, GeeTest developed AI-powered Slide CAPTCHA in 2012. Instead of visual recognition challenge, Powered by massive biometric data collected in the past 8 years, GeeTest built a self-adaptive defense model based on Graph Convolutional Networks (GCN). By analyzing over 200+ parameters, our dynamic defense model provides you with a broader and deeper understanding of bot activities associated with any API. -
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Percept Insight
Raptorise
Percept Insight is a simple yet powerful real-time analytics platform that enables businesses to build better products with deep insights at minimal costs. It provides actionable insights into user behaviour, user engagement, and the effectiveness of marketing campaigns. This enables companies to make data-driven decisions and improve user experience, user retention, and overall business outcomes. What Percept Insight does is simple yet powerful. It lets you understand user behavior and take actions based on those behaviors, ultimately extracting maximum value for your business. Many analytic tools exist, but what sets Percept Insight apart is its ability to preserve context. This means that it not only helps you comprehend user behaviors and create campaigns around them but does so while considering your app's performance and stability. This unique feature allows you to get the most out of your efforts.Starting Price: $1/analytics and engage -
31
Cisco AgenticOps
Cisco
AgenticOps is a groundbreaking paradigm redefining enterprise IT operations for the AI-driven era, leveraging AI agents to transform real-time telemetry, automation, and deep domain knowledge into intelligent, end-to-end actions, executing cross-domain workflows in networking, security, and applications directly within a unified platform. At its core is Cisco’s Deep Network Model, a large language model purpose-trained on over 40 years of Cisco expertise, spanning CCIE-level reasoning, CiscoU content, and real-world operational scenarios, further refined via reinforcement learning, chain-of-thought reasoning, and test-time scaling for precision and speed. This engine powers AI Canvas, the industry’s first generative UI for cross-domain IT operations, which aggregates live telemetry data into an intelligent workspace. Through the embedded Cisco AI Assistant, users interact via natural language to diagnose issues, explore options, drill into root causes, and execute remedial actions. -
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Macaron
Macaron
Macaron is a deeply personal AI agent designed to enhance your life rather than just boost productivity. Through tailored onboarding and a Deep Memory system, it develops a nuanced understanding of your preferences, experiences, and emotions, growing with you like a trusted friend. Simply ask, and Macaron crafts mini-apps that address real needs, whether it's a course helper, cooking journal, or gentle check-in, bypassing tedious demos with real-life solutions. Leveraging an in-house reinforcement learning platform built to scale with trillion-parameter models efficiently, Macaron focuses on three enhanced agentic capabilities to deliver emotionally intelligent, context-aware interactions that truly resonate. -
33
Gemini 3 Deep Think
Google
The most advanced model from Google DeepMind, Gemini 3, sets a new bar for model intelligence by delivering state-of-the-art reasoning and multimodal understanding across text, image, and video. It surpasses its predecessor on key AI benchmarks and excels at deeper problems such as scientific reasoning, complex coding, spatial logic, and visual-/video-based understanding. The new “Deep Think” mode pushes the boundaries even further, offering enhanced reasoning for very challenging tasks, outperforming Gemini 3 Pro on benchmarks like Humanity’s Last Exam and ARC-AGI. Gemini 3 is now available across Google’s ecosystem, enabling users to learn, build, and plan at new levels of sophistication. With context windows up to one million tokens, more granular media-processing options, and specialized configurations for tool use, the model brings better precision, depth, and flexibility for real-world workflows. -
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ERNIE X1.1
Baidu
ERNIE X1.1 is Baidu’s upgraded reasoning model that delivers major improvements over its predecessor. It achieves 34.8% higher factual accuracy, 12.5% better instruction following, and 9.6% stronger agentic capabilities compared to ERNIE X1. In benchmark testing, it surpasses DeepSeek R1-0528 and performs on par with GPT-5 and Gemini 2.5 Pro. Built on the foundation of ERNIE 4.5, it has been enhanced with extensive mid-training and post-training, including reinforcement learning. The model is available through ERNIE Bot, the Wenxiaoyan app, and Baidu’s Qianfan MaaS platform via API. These upgrades are designed to reduce hallucinations, improve reliability, and strengthen real-world AI task performance. -
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NVIDIA Alpamayo
NVIDIA
NVIDIA Alpamayo is an open ecosystem of AI models, simulation tools, and datasets designed to accelerate the development of autonomous vehicles with human-like reasoning capabilities. It is built around a family of Vision-Language-Action (VLA) models that combine visual perception, language-based reasoning, and action planning, enabling vehicles to interpret complex driving environments and make decisions step by step. Unlike traditional systems that rely mainly on pattern recognition, Alpamayo introduces chain-of-thought reasoning, allowing autonomous systems to understand rare or unpredictable “long-tail” scenarios and explain their decisions for improved safety and transparency. It integrates seamlessly with NVIDIA’s full autonomous driving stack, covering training, simulation, and deployment, so developers can build advanced systems without creating core infrastructure from scratch. -
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GPT-4.5
OpenAI
GPT-4.5 is a powerful AI model that improves upon its predecessor by scaling unsupervised learning, enhancing reasoning abilities, and offering improved collaboration capabilities. Designed to better understand human intent and collaborate in more natural, intuitive ways, GPT-4.5 delivers higher accuracy and lower hallucination rates across a broad range of topics. Its advanced capabilities enable it to generate creative and insightful content, solve complex problems, and assist with tasks in writing, design, and even space exploration. With improved AI-human interactions, GPT-4.5 is optimized for practical applications, making it more accessible and reliable for businesses and developers.Starting Price: $75.00 / 1M tokens -
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Sarvam-M
Sarvam
Sarvam-M is a multilingual, hybrid-reasoning large language model designed to deliver strong performance across Indian languages, mathematical reasoning, and programming tasks within a single, efficient system. Built on top of Mistral-Small, it is a 24-billion-parameter text-only model that has been enhanced through supervised fine-tuning, reinforcement learning with verifiable rewards, and inference optimizations to improve both accuracy and efficiency. The model is specifically trained to handle more than ten major Indic languages, supporting native scripts, romanized text, and code-mixed inputs, enabling seamless multilingual communication across diverse linguistic contexts. Sarvam-M introduces a hybrid reasoning approach that allows it to switch between “thinking” mode for complex tasks like math, logic, and coding, and faster response mode for everyday interactions, balancing performance and speed. -
38
DeepSWE
Agentica Project
DeepSWE is a fully open source, state-of-the-art coding agent built on top of the Qwen3-32B foundation model and trained exclusively via reinforcement learning (RL), without supervised finetuning or distillation from proprietary models. It is developed using rLLM, Agentica’s open source RL framework for language agents. DeepSWE operates as an agent; it interacts with a simulated development environment (via the R2E-Gym environment) using a suite of tools (file editor, search, shell-execution, submit/finish), enabling it to navigate codebases, edit multiple files, compile/run tests, and iteratively produce patches or complete engineering tasks. DeepSWE exhibits emergent behaviors beyond simple code generation; when presented with bugs or feature requests, the agent reasons about edge cases, seeks existing tests in the repository, proposes patches, writes extra tests for regressions, and dynamically adjusts its “thinking” effort.Starting Price: Free -
39
Time is Ltd.
Time is Ltd.
Improve your company’s productivity and culture through meeting, email and IM analytics. Time is money. That's why we help leadership measure productivity data across the organization, unearth inefficiencies and fix them. Are you looking to optimize your precious time resources? Landscape-like visualizations of complex relationships among people and teams easy to comprehend by human brain. We feed these maps with data from your collaboration tools. Longer lead times within the marketing team are caused by an overwhelming amount of meetings and online communication and a lack of time to focus. Time is Ltd. integrates seamlessly with the most used communication tools to find communication and meeting trends. All synced data is anonymized and aggregated so your worker’s privacy is protected. Our reporting dashboard comes with helpful tips to help you digest data learnings faster. Free people's time from inefficient collaboration. -
40
Digital Teacher
Code and Pixels
The conventional ways of instruction have always left a huge gap in teaching-learning experience isolating the teacher from the students. A typical student may not properly comprehend and visualize what the teacher delivers in the classroom using words and static pictures without proper care about individual differences visualizing ability and the pace of learning. In this scenario, a weak student is left behind and feels neglected. Digital teaching material supports self learning, self-paced learning in the students, increases the interest levels and the retention power of the students. Critical concepts are being developed and packaged using multimedia based digital solutions. Our Digital Teacher software is an effective digital classroom solution developed as per Continuous and Comprehensive Evaluation Pattern. Code and Pixels is offering an effective new teaching tool to the instructors at the school level.Starting Price: $89.43 -
41
Growth Velocity
Growth Velocity
To increase opportunity creation and reduce no decisions, our interviews are a deep dive into the buying context, the funding decision, and initial perceptions of the solution space. After analyzing the data to identify the winning patterns and understand why they occur, we recommend improvements to targeting, messaging, and sales process and enablement. To improve opportunity win rate, we interview buyers about their perceptions and thoughts as they shortlisted solutions and then selected one. We make these deep dives actionable by identifying the key criteria that drive wins and losses overall. And we explain how and why buyers assess competing alternatives on those criteria. Teams that have this deep understanding of the criteria that control outcomes are able to make rapid, data-driven improvements. -
42
GMAT Interact
Manhattan Prep
GMAT Interact is our comprehensive on-demand GMAT prep course. It was created to immerse students in an engaging, self-paced learning experience. GMAT Interact isn't a video, it's a breakthrough in intuitive technology that allows you to define your path through hours of GMAT content. A Manhattan Prep Instructor guides you through each lesson from start to finish, but you'll be the one making the choices. GMAT Interact is a self-paced and interactive course. You’ll use the same resources as our live course students to complete your after-class homework and reinforce what was taught during the videos, on your own schedule. No need to waste time figuring out what to study. We’ve put together your study syllabus for you, we’ll tell you exactly what to watch, read, practice, or do, and give you all the materials you need to do it. The platform is available on all types of devices; study at your speed, on your own time, wherever you are.Starting Price: $49 one-time payment -
43
Kodiak Driver
Kodiak
Kodiak AI’s technology centers on the Kodiak Driver, a unified autonomous driving platform that combines advanced AI-powered software with modular, vehicle-agnostic hardware to enable scalable, real-world autonomy for trucks and ground vehicles. Designed to integrate seamlessly across different vehicle types and operating conditions, the system uses a suite of sensors, housed in field-swappable SensorPods for full 360° perception, deep-learning based perception models to interpret complex environments, forward planning to anticipate changes in the road ahead, and redundant compute, power, steering, and braking systems engineered for safety and reliability in demanding use cases. It supports deployment in commercial long-haul trucking, industrial logistics, and defense ground vehicles, with connectivity and telematics enabling over-the-air updates, remote fleet management, and Assisted Autonomy capabilities that allow human oversight. -
44
Palmate
Palamar Teknoloji
Digital solution that brings employee communication and experience to the next level. Palmate is a virtual assistant, having vision and language abilities, that streamlines employee and candidate experience by consolidating all interactions in one place. Features: Deep Learning Based AI Common Sense Human Intervention Ticket Management Low-Code Flow and Integration Announcements and PollsStarting Price: $2 per user per month -
45
Phi-4-reasoning-plus
Microsoft
Phi-4-reasoning-plus is a 14-billion parameter open-weight reasoning model that builds upon Phi-4-reasoning capabilities. It is further trained with reinforcement learning to utilize more inference-time compute, using 1.5x more tokens than Phi-4-reasoning, to deliver higher accuracy. Despite its significantly smaller size, Phi-4-reasoning-plus achieves better performance than OpenAI o1-mini and DeepSeek-R1 at most benchmarks, including mathematical reasoning and Ph.D. level science questions. It surpasses the full DeepSeek-R1 model (with 671 billion parameters) on the AIME 2025 test, the 2025 qualifier for the USA Math Olympiad. Phi-4-reasoning-plus is available on Azure AI Foundry and HuggingFace. -
46
Perception Platform
Intuition Machines
The Perception Platform by Intuition Machines automates the entire lifecycle of machine learning models—from training to deployment and continuous improvement. Featuring advanced active learning, the platform enables models to evolve by learning from new data and human interaction, enhancing accuracy while reducing manual oversight. Robust APIs facilitate seamless integration with existing systems, making it scalable and easy to adopt across diverse AI/ML applications. -
47
Open Vibe
Open Vibe
Open Vibe turns Claude Code, or your agent of choice, into the ultimate SaaS-building assistant, helping you understand the systems behind a production-ready SaaS while building your own app idea. It is a set of skills, instructions, and interactive components that turns an AI coding agent into a SaaS assistant and tutor. Instead of leaving you stuck in the prompt-fix loop, Open Vibe guides you step by step, explains what is happening behind the scenes, and helps you build an app you actually understand. Run it in your terminal, paste the install prompt, and your agent starts guiding you through the concepts behind your SaaS. When confusion arises, you can ask deeper questions, interact with live diagrams on top of your running app, and learn how the browser, server, database, routes, and app logic connect. Open Vibe supports beginners and pros, letting users move at their own pace while learning the systems, patterns, and decisions professional coders use to build.Starting Price: Free -
48
Behavioral Signals
Behavioral Signals
We are at the forefront of human communication in a groundbreaking era. Driven by cutting-edge AI technology, we go beyond words, diving deep into the intricacies of human expression. Understanding emotions, assessing behaviors, and predicting intent, we unlock the essence of every interaction. Our transformative impact spans various industries, from strengthening security and defense operations to redefining contact centers and empowering financial institutions with invaluable insights. With our innovative approach, we reshape the way connections are made and understood, ushering in a new era of communication. Our core technology is provided via our Behavioral Signals API, which is responsible to predict low-level and behavioral voice characteristics from audio signals. Applications: - Customer Service - Security, Intelligence, and Law Enforcement - Cognitive Health & Mental Health - Digital Companions/Chatbots - Healthcare - Entertainment -
49
Assist365
Gnani.ai
By leveraging the power of AI/ML and NLU, our AI-powered Conversational assistant Assist365 offers to automate the entire customer service workflow across both inbound and outbound. Right from Conversational IVR to handling complex queries at less than 30% of the actual cost with top-of-the-line scalability. With the ability to self-learn through deep learning algorithms, Assist365 offers a layer of personalization and engages with customers contextually just like humans without human intervention. -
50
OptiSol
OptiSol Business Solutions
OptiSol's Agentic Process Automation (APA) solutions are designed to transcend traditional task automation by incorporating intelligent agents capable of autonomous decision-making and process optimization. These agents comprehend context, forecast outcomes, and execute actions with minimal human intervention, enhancing efficiency in areas such as finance, operations, customer service, and supply chain management. Key features of OptiSol's APA include context-aware decision-making, proactive workflow management, continuous process optimization, enhanced business agility, and scalability. By leveraging these capabilities, businesses can achieve smarter automation, faster operations, and continuous evolution to stay ahead in competitive markets.
