AI agents directory for data scientists: Access solutions verified by top AI agency partners and automation specialists.

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Liquid AI, an MIT spinoff, specializes in creating efficient and adaptive AI systems through liquid neural networks inspired by the nervous system of C. elegans. Their Liquid Foundation Models (LFMs) offer scalable solutions across various industries, providing enhanced performance with reduced energy consumption. In December 2024, Liquid AI secured $250 million in funding led by AMD to further advance their innovative AI technologies.

Liquid AI

liquid-ai

Develops efficient AI systems using liquid neural networks inspired by C. elegans.

Dynamiq offers a platform that enables businesses to create AI agents tailored to their specific needs. These agents can automate various tasks, including reporting, information retrieval, customer service, and decision-making processes. The platform supports deployment on-premise, in the cloud, or in hybrid environments, providing flexibility and control over data. With a user-friendly low-code builder, multi-agent orchestration, and robust observability tools, Dynamiq accelerates the development and deployment of AI solutions while ensuring enterprise-grade security and compliance.

Dynamiq AI Agents

dynamiq-ai-agents

A platform to build custom AI agents for automating tasks like reporting, information retrieval, and customer service.

causaLens is an AI platform that empowers organizations to create and deploy AI Data Scientists, accelerating and scaling their data science capabilities. By integrating causal reasoning with advanced quantitative analysis, the platform allows users to build AI agents that autonomously execute complex workflows, providing actionable insights and recommendations. This approach democratizes data science, enabling teams across various departments to harness AI for informed decision-making. Trusted by industry leaders like Cisco and Johnson & Johnson, causaLens transforms how businesses approach data-driven strategies.

causaLens AI

causalens-ai

An AI platform enabling organizations to build and deploy AI Data Scientists for scalable data science solutions.

Data-to-Paper is an innovative AI-powered framework designed to automate the entire scientific research process. By integrating Large Language Models (LLMs) with rule-based agents, it guides the transformation of raw data into complete, transparent, and verifiable scientific manuscripts. The platform autonomously handles tasks such as hypothesis generation, research planning, analysis code writing and debugging, result generation and interpretation, and manuscript drafting. This approach aims to accelerate scientific discovery while upholding essential values of transparency, traceability, and verifiability in research.

Data-to-Paper

data-to-paper

An AI-driven platform automating the transformation of raw data into comprehensive, traceable scientific papers.

Hex Magic is an AI-driven feature within the Hex platform designed to enhance data analysis workflows. By integrating large language models (LLMs), it assists users in writing SQL queries, generating Python scripts, and creating visualizations based on natural language prompts. Hex Magic leverages metadata from databases and semantic models to provide accurate, context-aware code suggestions, enabling users to perform complex data analyses more efficiently. Additionally, it offers capabilities such as automatic error correction, chart modifications through simple commands, and seamless integration within collaborative, cloud-based environments.

Hex Magic

hex-magic

An AI-powered analytics assistant that streamlines data analysis by writing queries, building charts, and fixing bugs.

TensorFlow is an end-to-end open-source platform for machine learning developed by the Google Brain Team. It offers a comprehensive ecosystem of tools, libraries, and community resources that enable researchers and developers to build and deploy machine learning-powered applications efficiently. TensorFlow supports various programming languages, including Python, C++, and JavaScript, and is compatible with multiple platforms such as Linux, macOS, Windows, Android, and JavaScript. Since its initial release in 2015, TensorFlow has become one of the most widely adopted deep learning frameworks, facilitating tasks ranging from research prototyping to production deployment.

TensorFlow

tensorflow

An open-source machine learning platform developed by Google for building and deploying ML models.

ToRA, developed by researchers from Tsinghua University and Microsoft, is a series of Tool-integrated Reasoning Agents aimed at addressing challenging mathematical problems. By seamlessly combining natural language reasoning with external computational tools such as computation libraries and symbolic solvers, ToRA enhances the analytical capabilities of AI systems. This integration allows ToRA to effectively tackle complex mathematical reasoning tasks, outperforming existing open-source models on multiple datasets. Notably, ToRA-Code-34B is the first open-source model to achieve over 50% accuracy on the MATH dataset, surpassing GPT-4's Chain-of-Thought results.

ToRA

tora

A tool-integrated AI agent designed to solve complex mathematical problems by interacting with external tools.

Gwenflow, developed by Gwenlake, is an open-source framework designed to streamline the creation of customized, production-ready applications centered around autonomous AI agents and Large Language Models (LLMs). It provides developers with tools to integrate LLMs and agents seamlessly, enabling efficient and scalable solutions tailored to specific business or user needs. Gwenflow supports modular agent architecture, intuitive workflow representation, and an extensible system for tools and plugins, facilitating intelligent process automation, automated customer support systems, and AI-driven data processing pipelines.

Gwenflow

gwenflow

A framework for orchestrating applications powered by autonomous AI agents and LLMs.

Sahara AI is a decentralized blockchain platform designed to prioritize the sovereignty and provenance of artificial intelligence. By integrating blockchain technology with AI, Sahara AI offers a secure and equitable infrastructure where users, data contributors, model creators, and application developers can maintain control over their AI assets. The platform fosters an open and transparent AI economy, ensuring fair attribution and compensation for all participants. In August 2024, Sahara AI raised $43 million in a Series A funding round led by Pantera Capital, Binance Labs, and Polychain Capital, with participation from Samsung NEXT, Matrix Partners, and others. This funding supports the expansion of their global team, enhancement of platform performance, and growth of their developer ecosystem.

Sahara AI

sahara-ai

A decentralized AI blockchain platform ensuring security, equity, and accessibility for AI assets.

Snorkel Flow is an AI data development platform designed to expedite enterprise AI initiatives by enabling programmatic curation of training data. It allows data scientists and subject matter experts to collaboratively capture domain knowledge, apply it to label entire datasets, and iteratively develop models with built-in error analysis and evaluation tools. By integrating seamlessly with existing AI/ML stacks, Snorkel Flow supports fine-tuning of large language models (LLMs) for specialized tasks, optimizing retrieval-augmented generation (RAG) pipelines, and enhancing model accuracy across various data modalities.

Snorkel Flow

snorkel-flow

An AI data development platform accelerating enterprise AI by programmatically curating training data.

Rivalz Network is developing the World Abstraction Layer, an infrastructure that abstracts the complexities of connecting AI services and agents to various real-world resources. This platform enables seamless interaction between AI agents and digital or physical assets, unlocking the full potential of an agent-centric future. The network comprises five core modules: ROME (Swarm Protocol), OCY DePIN (Data Module), ADCS (Connectivity Module), NOSTRINGS (Identity Module), and VORD (Application Module), each serving a specific function to create a holistic ecosystem for AI agents.

Rivalz Network

rivalz-network

A platform providing infrastructure for AI agents to interact with real-world resources seamlessly.

AGiXT is a dynamic Artificial Intelligence Automation Platform engineered to orchestrate efficient AI instruction management and task execution across a multitude of providers. Our solution infuses adaptive memory handling with a broad spectrum of commands to enhance AI's understanding and responsiveness, leading to improved task completion. The platform's smart features, like Smart Instruct and Smart Chat, seamlessly integrate web search, planning strategies, and conversation continuity, transforming the interaction between users and AI. By leveraging a powerful plugin system that includes web browsing and command execution, AGiXT stands as a versatile bridge between AI models and users. With an expanding roster of AI providers, code evaluation capabilities, comprehensive chain management, and platform interoperability, AGiXT is consistently evolving to drive a multitude of applications, affirming its place at the forefront of AI technology.

Embracing the spirit of extremity in every facet of life, we introduce AGiXT. This advanced AI Automation Platform is our bold step towards the realization of Artificial General Intelligence (AGI). Seamlessly orchestrating instruction management and executing complex tasks across diverse AI providers, AGiXT combines adaptive memory, smart features, and a versatile plugin system to maximize AI potential. With our unwavering commitment to innovation, we're dedicated to pushing the boundaries of AI and bringing AGI closer to reality.

AGiXT

agixt

Dynamic AI automation platform streamlining task execution & management across providers with adaptive memory, smart features & plugins