Alternatives to RDFox

Data engineers and scientists can be 95% better at their jobs with ready access to the most flexible semantic layer, explainable AI and reusable data modelling. They can create and expand semantic models, understand data interrelationships, and run federated query to speed up time to insight. Stardog's graph data virtualization and high performance graph database are the best available -- at a price that is up to 57x less than competitors -- to connect any data source, warehouse, or enterprise data lakehouse without copying or moving data. Scale users and use cases at a lower infrastructure cost. Stardog's intelligent inference engine applies expert knowledge dynamically at query times to uncover hidden patterns and unexpected insights in relationships that lead to better data-informed business decisions and outcomes.

The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems. Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval. Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters. Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.

Our AI reasoning engine navigates and analyzes millions of lines of code in your application. Developers can pinpoint the desired code instantly. You must understand every business process or data point, as well as any decision points, embedded in your code, before you can confidently change, integrate, or manage the COBOL applications that are at the heart of the enterprise. Our logic-based reasoning tool transforms your code to a valuable knowledgebase. Our technology is more precise and comprehensible than generative AI. Explore and compare different scenarios in real-time by changing conditions.

A MLLM system that accepts any form of referral and grounds anything in response. Ferret Model- Hybrid Region representation + Spatial-aware visual sampler allows for fine-grained and open vocabulary referring and grounding. GRIT Dataset - A large-scale, hierarchical, robust ground-and refer instruction tuning dataset. Ferret Bench - A multimodal benchmark that requires Referring/Grounding as well as Semantics, Knowledge and Reasoning.

AllegroGraph is a revolutionary solution that allows infinite data integration. It uses a patented approach that unifies all data and siloed information into an Entity Event Knowledge Graph solution that supports massive big data analytics. AllegroGraph uses unique federated sharding capabilities to drive 360-degree insights, and enable complex reasoning across a distributed Knowledge Graph. AllegroGraph offers users an integrated version Gruff, a browser-based graph visualization tool that allows you to explore and discover connections within enterprise Knowledge Graphs. Franz's Knowledge Graph Solution offers both technology and services to help build industrial strength Entity Event Knowledge Graphs. It is based on the best-of-class products, tools, knowledge, skills, and experience.

Virtuoso, a Data Virtualization platform that enables fast and flexible harmonization between disparate data, increases agility for both individuals and enterprises. Virtuoso Universal server is a modern platform built upon existing open standards. It harnesses the power and flexibility of Hyperlinks (functioning like Super Keys) to break down data silos that hinder both enterprise and user ability. Virtuoso's core SQL & SPARQL powers many Enterprise Knowledge Graph initiatives, just as they power DBpedia. They also power a majority nodes in Linked Open Data Cloud, the largest publicly accessible Knowledge Graph. Allows for the creation and deployment of Knowledge Graphs atop existing data. APIs include HTTP, ODBC and JDBC, OLE DB and OLE DB.

Andi is a chatbot that uses generative AI to search for answers. It's privacy-focused and ad-free. Andi provides answers, not just links. It's like talking with a smart friend. Andi is a new type search engine that uses generative AI, language models, live data, and AI-powered search technology. It provides simple, factually correct answers that you can trust. It summarizes key information from the most reliable sources and explains it. The full results are displayed in an easy to read visual feed. Andi is a conversational search tool. It works by combining a chatbot interface and an AI-powered assistant. It can answer complex questions quickly, find the best information, and keep you safe and productive online. It is anonymous, private, and free to anyone. Andi uses language models, generative AI, and reasoning to generate factually correct answers to questions. It also helps to explain and summarize information from the best sources.

eccenca Corporate Memory is a multi-disciplinary integrative platform that allows you to manage rules, constraints and capabilities in one application. Its semantic knowledge graph overcomes the limitations of traditional, application-centric (meta), data management models. It is highly extensible, integrative, and interpretable by both machines and business users. The enterprise knowledge graph platform restores global data transparency for enterprises and line-of-business ownership in complex and dynamic data environments. It allows you to drive agility and autonomy without disrupting existing IT infrastructures. Corporate Memory links data from all sources into a single knowledge graph. To explore your global data landscape, you can use user-friendly SPARQL or JSON-LD frames. HTTP identifiers, metadata and data management are the key components of the enterprise knowledge graph platform.

Letta lets you create, deploy and manage agents at scale. REST APIs allow you to build production applications that are backed by microservices. Letta gives your LLM services advanced reasoning capabilities, transparent long-term memories (powered by MemGPT), and transparent long term memory. We believe that programming agents begin with programming memory. Self-managed memory is introduced for LLMs by the researchers who developed MemGPT. Letta's Agent Development Environment allows you to see the entire sequence of tool call, reasoning and decision that explains agent outputs. Most systems are built using frameworks that only allow prototyping. Letta' was built by systems engineers to be used at scale, so that the agents you create will become more useful over time. You can debug your agents and interrogate the system without having to rely on closed AI megacorps' black box services.

We have been pioneers in the development of clinical NLP platforms and their applications for over 15 years. This has resulted in high precision and accuracy. Our core competency is to interpret unstructured notes accurately and at scale. Tested on billions of real clinical notes and documents. AI that can explain with context, reasoning, and evidence for output. NLP with medical knowledge infused with 4M+ entities and 50M+ relationships. Innovative Machine Learning (ML), & Deep Learning(DL) models were used to build this NLP. Use a foundation of rich ontologies and clinician-specific terminologies. We can understand, interpret, and extract context & significance from the inconsistent, inconsistent, and non-standard data contained in medical documents. Our clinical domain experts continually infuse knowledge graphs to our NLP by mapping all clinical entities and their relationship between them. We have more than 4,000,000 entities and 50,000,000 relationships.

Baidu Natural Language Processing is a cutting-edge technology that uses Baidu's vast data collection to develop natural language processing. Natural Language Processing is open to several core capabilities and solutions. These include more than ten types of abilities, such as sentiment analyses, address recognition, or customer comments analysis. Lexical analysis, which is based on word segmentation and part-of speech tagging technology, allows you to find basic language elements and eliminate ambiguity. It also supports accurate understanding. Semantic similarity can be calculated using deep neural networks, high-quality internet data, and vectorization to meet the requirements of business scenarios for high precision. Word vector representation is able to calculate texts by vectorizing words. It can help you complete semantic mining quickly.

The industry's most trusted Enterprise Resource Interoperability platform (ERI) allows you to connect, correlate, reason, and automate event-driven or rule-based business processes in "Big Data". Metatomix ERI Platform includes the M3T4 studio (M3), an extensible Eclipse-based JAVA platform that uses data semantics to link your business' most important information. Metatomix M3 provides a complete solution for building semantic data applications, based on Java's Eclipse IDE. Do not start from scratch. Instead, leverage the most extensive set of extensible resources (agents & ports) that comes with M3. M3 is purpose-built to understand the semantics behind your data. It integrates with features that allow you to describe, derive inferences, and take action on disparate data sets.

To build smart applications and systems, integrate the award-winning Semantic AI platform. PoolParty automates metadata creation and makes information easily accessible for sharing, analysis, and use. PoolParty connects structured and unstructured data and connects data scattered across multiple databases. Get the latest generation of graph-based data analytics and content analytics using state-of-the art machine learning techniques. Your data can be used to your advantage. PoolParty improves the quality of your data. This leads to more accurate results from AI applications and better decision-making. Learn why the world's largest companies use Knowledge Graphs and why yours should too. Engage with experts, partners, customers, and their presentations to unlock the full potential for semantic technologies and 360-degree perspectives. Over 180 enterprise-level clients have benefited from our expertise in information management.

It is easy to automate expert knowledge and create interactive applications without any coding skills. You can quickly create digital solutions to automate complex service processes without having to code. The intuitive, visual "drag and drop" editor with no-code allows you to build without programming. ISO certified, GDPR compliant and bank-grade security with role-based access. You can track usage, set KPIs, and gain powerful insights to drive data-driven decisions. All industry applications and databases can be interoperable with each other using out-of-the box APIs. A powerful business rule engine. Use logic to generate actions and integrate. Fully integrated doc assembly capabilities with automated decisioning. Any service can be made into a self-service app. Collect information, analyze your business reasoning, and create deliverables. You can go from idea to prototype in minutes and not months.

Unleash is a one-stop shop that simplifies knowledge management, and makes information more accessible. Our engine analyzes word relationships to find relevant results even when your query is imperfect. Ask a question to receive AI-generated answers from your knowledge base. You can easily find and access all the information you need with top search capabilities. Integrate Unleash’s AI-powered Bot into Slack Teams, Zendesk and more to empower your team with instant automated responses sourced directly from the knowledge base of your company. You can fine-tune the bot's knowledge to provide accurate and relevant answers to questions asked on your platforms. Find out who is working with whom, on what and who are the experts in related fields. Manage company knowledge using wikis, collections and go links, and access them from anywhere.

Dgraph is an open-source, low-latency, high throughput native and distributed graph database. DGraph is designed to scale easily to meet the needs for small startups and large companies with huge amounts of data. It can handle terabytes structured data on commodity hardware with low latency to respond to user queries. It addresses business needs and can be used in cases that involve diverse social and knowledge networks, real-time recommendation engines and semantic search, pattern matching, fraud detection, serving relationship information, and serving web applications.

Mistral NeMo, our new best small model. A state-of the-art 12B with 128k context and released under Apache 2.0 license. Mistral NeMo, a 12B-model built in collaboration with NVIDIA, is available. Mistral NeMo has a large context of up to 128k Tokens. Its reasoning, world-knowledge, and coding precision are among the best in its size category. Mistral NeMo, which relies on a standard architecture, is easy to use. It can be used as a replacement for any system that uses Mistral 7B. We have released Apache 2.0 licensed pre-trained checkpoints and instruction-tuned base checkpoints to encourage adoption by researchers and enterprises. Mistral NeMo has been trained with quantization awareness to enable FP8 inferences without performance loss. The model was designed for global applications that are multilingual. It is trained in function calling, and has a large contextual window. It is better than Mistral 7B at following instructions, reasoning and handling multi-turn conversation.

Graphs are flexible formal data structures that make it easy to map other data formats to them. They capture explicit relationships between items so you can connect new items as they are added, and then traverse the links to understand their connections. Data semantics are explicit and include formalisms that support inferencing as well as data validation. Knowledge graphs are a self-descriptive model for data and can be used to help you adjust data to meet your data model requirements. The graph's meaning is stored alongside the data, in the form either of the ontologies and semantic models. Knowledge graphs are self-descriptive because of this. Knowledge graphs can accommodate a variety of data and metadata that changes and grows over time, just like living things.

Nagios Core, the monitoring and alerting engine, is the core application that powers hundreds of Nagios project development. Nagios Core is the event scheduler, event processor, alert manager, and monitor for elements. It has several APIs that can be used to extend its capabilities to do additional tasks. It is implemented in C for performance reasons and is designed to run natively under Linux/*nix systems.

Statistics programs are often designed by statisticians for statisticians. These programs are feature-rich and powerful, but they can overwhelm scientists with dense manuals, obscure statistical terminology, and high prices. GraphPad InStat offers a different approach. InStat was designed by scientists for scientists. InStat makes it easy for even the most novice statistician to analyze data in a matter of minutes. InStat is a simple way to learn statistics. InStat takes you through statistical analyses and helps you to conquer the learning curve. In just a few minutes, you'll be able to master the program. You don't need to know the name or number of the test you need. InStat will help you choose the right test by asking you questions about your data. The extensive help screens will provide clear explanations of statistical reasoning in plain English. InStat doesn't assume you're a statistician. It presents results in plain English, with little statistical jargon. The help screens in InStat explain how to use each test.

Rainbird coauthor, powered by GPT-4 transforms your instructions, documentation or data into an "AI glass box" that explains each judgment. Rainbird addresses the limitations of LLMs in terms of explainability, audibility and scalability. This is a solution that can be used by organizations in regulated markets, where transparency in decision-making is essential. Rainbird's connector is now available to UiPath customers directly through the UiPath Marketplace. Rainbird's decision can make your RPA workflows smarter. Rainbird is able to handle complex scenarios, because it thinks like humans. It combines data and knowledge to deliver expert decision-making, free of human noise or bias, without writing a single line code. Automate complex, labor-intensive processes using decision intelligence to remove organizational bottlenecks. Rainbird's automation solutions can be up to 100x quicker and 25% more accurate than human decision-makers, and provide rationales for all decisions.

Proteus is a software testing system that automatically finds and fixes vulnerabilities. It does not generate false alarms and is aimed at testing organizations, development teams, and cybersecurity teams. It detects vulnerabilities that can be triggered by malicious files or inputs from the network, including many entries in the Common Weakness Enumeration. The tool supports native binaries for Windows and Linux. Proteus reduces costs and improves efficiency and effectiveness in software testing, reverse engineering and maintenance by integrating and simplifying state-of-the art tools for binary transformation and analysis. Binary analysis, symbolic execution, mutational fuzzing, and mutational fuzzing without source code. Professional-grade user interfaces for result aggregation, and presentation. Advanced exploitability reporting, reasoning capability and deployment on a virtualized system or host system.

Information overload is a major barrier to scientific progress. The explosion of scientific literature and data makes it harder to find useful insights among a vast amount of information. Search engines are used to access scientific knowledge today, but they cannot organize it. Galactica is an extensive language model which can store, combine, and reason about scientific information. We train using a large corpus of scientific papers, reference material and knowledge bases, among other sources. We outperform other models in a variety of scientific tasks. Galactica performs better than the latest GPT-3 on technical knowledge probes like LaTeX Equations by 68.2% to 49.0%. Galactica is also good at reasoning. It outperforms Chinchilla in mathematical MMLU with a score between 41.3% and 35.7%. And PaLM 540B in MATH, with a score between 20.4% and 8.8%.

The smart semantic layer unifies metrics and speeds up the delivery of data products by 90% with shorter SQL queries. Model data using business terms for a common meaning and to align business metrics. Define semantic relationships to replace JOINs, making queries much easier. Hierarchies and classifications can help you better understand data. Automatically map data into the semantic model. Join multiple data sources using a powerful SQL engine distributed to query data at a large scale. Consume data in the form of a semantically connected graph. Materialized views and an intelligent cache engine can boost performance and reduce compute costs. Advanced query optimizations are available. Connect to any file format, cloud, datalake, data warehouse, or database. Timbr allows you to work seamlessly with your data sources. Timbr optimizes a query and pushes it to the backend when a query is executed.

The Industry-Specific Enhanced edition for E-Commerce allows you to develop intelligent search services that are more efficient, faster, and more accurate in the e-commerce market. OpenSearch integrates the industry-specific knowledge of Alibaba DAMO Academy. This helps to develop industry-specific and intelligent searches in industry-specific situations. Multimedia data can contain diversified information. Users may use different search terms to search for multimedia data. NLP technology is needed to facilitate semantic understanding in this situation. Sorting requires high efficiency and multiple dimensions. OpenSearch uses multimodal search technology, which supports multiple modalities, such as speech, text, and images. This allows for the retrieval of expected search results.

Premier Legal Intranet Software, SharePoint Accelerator. Maximize the information resources investment of your law firm, map closely to attorney workflows, integrate with critical finance, document and CRM systems, and maximize integration. LawPort is an integrated legal intranet that makes knowledge resources easier to access and manage. It also offers full business and practice benefits from the back office to the desktop. Legal information professionals can leverage the capabilities of LawPort to create a professional, agile and competitive knowledge management platform. This platform is affordable without requiring significant capital investment and does not require ongoing operational support. This allows firms to make better use of their limited IT resources. LawPort was designed for law firms and is based on a deep understanding and familiarity of the workflows of attorneys and critical systems such as Elite, iManage, and Interaction.

You can use advanced language models and coding to solve a variety of problems. To build cutting-edge applications, leverage large-scale, generative AI models that have deep understandings of code and language to allow for new reasoning and comprehension. These coding and language models can be applied to a variety use cases, including writing assistance, code generation, reasoning over data, and code generation. Access enterprise-grade Azure security and detect and mitigate harmful use. Access generative models that have been pretrained with trillions upon trillions of words. You can use them to create new scenarios, including code, reasoning, inferencing and comprehension. A simple REST API allows you to customize generative models with labeled information for your particular scenario. To improve the accuracy of your outputs, fine-tune the hyperparameters of your model. You can use the API's few-shot learning capability for more relevant results and to provide examples.

*GraphDB allows the creation of large knowledge graphs by linking diverse data and indexing it for semantic search. * GraphDB is a robust and efficient graph database that supports RDF and SPARQL. The GraphDB database supports a highly accessible replication cluster. This has been demonstrated in a variety of enterprise use cases that required resilience for data loading and query answering. Visit the GraphDB product page for a quick overview and a link to download the latest releases. GraphDB uses RDF4J to store and query data. It also supports a wide range of query languages (e.g. SPARQL and SeRQL), and RDF syntaxes such as RDF/XML and Turtle.

Automation of business workflows allows organizations to achieve digital transformation goals by automating end-to-end workflows that leverage rules-based cognitive and artificial intelligence capabilities. Traditional software licensing models that are based upon a "price per robot" model may not align with customer's ROI goals. BAAR offers a simple price per process model that allows customers to determine their return on investment upfront. Uncertainty of cost overruns due additional licenses and the incremental cost per webpage are eliminated, ensuring the integrity the business case. Half of all implementations fail to achieve their goals due to inability to automate end-to-end processes in a timely fashion. We have created an in-house "BAAR Factory" consisting of highly skilled and experienced software and business engineers to assist clients.

AnzoGraph DB offers a wide range of analytical features that can be used to enhance your analytical framework. This video will show you how AnzoGraph DB, a native graph database for massively parallel processing (MPP), is designed for data harmonization. Horizontally scalable graph database designed for online analytics and harmonization. AnzoGraphDB, a market-leading graph database, can help you tackle linked data problems and data harmonization. AnzoGraph DB offers industrialized online performance for enterprise-scale graph apps. AnzoGraph DB supports Labeled Property Graphs (LPGs) and familiar SPARQL*/OWL semantic graphs. You have access to many data science, machine learning, and analytical capabilities that will help you gain new insights at an unparalleled speed and scale. Your analysis will be more effective if you consider the context and relationships of data. Data loading and queries ultra-fast

Graph Engine (GE), a distributed in-memory processing engine, is supported by a strongly-typed RAM storage and a general distributed computing engine. The distributed RAM store is a global addressable, high-performance key-value storage that can be accessed by a cluster of computers. GE's RAM store allows fast random data access over a large data set. GE is a natural platform for large graph processing due to its ability to speed data exploration and distribute parallel computing. GE supports both low latency online query processing as well as high-throughput offline analysis on billion-node large Graphs. Schema is important when data processing must be efficient. For data storage that is compact, quick and clear, strong data modeling is essential. GE has the ability to manage billions of runtime objects of different sizes. As the number of objects increases, each byte counts. GE offers fast memory reallocation and allocation with high memory ratios.

CINDE (Conversational Interface & Decisioning Engine), is a conversational AI and machine-reasoning based engine that transforms customer experience by automatically resolving most of their issues. It responds to queries with intelligent personalized messages and uses machine reasoning and sophisticated natural language. It does more than that. It can also understand the intent of an issue, whether it is an incident, a service request, or a query. This helps to ensure that there is no downtime. This allows agents to concentrate on high-impact work and gives them more time. CINDE, powered by AI, is always available to assist customers, no matter what day it may be. CINDE is able to resolve tickets quicker than traditional service desks thanks to its self-service and knowledge driven. A minimum of 30% of service requests are resolved by auto, which results in significant savings. Auto carries the maximum weight of L1 which allows agents to concentrate on high-impact work.

Natively store data for graphs, documents and search needs. One query language allows for feature-rich access. You can map data directly to the database and access it using the best patterns for the job: traversals, joins search, ranking geospatial, aggregateions - you name them. Polyglot persistence without the cost. You can easily design, scale, and adapt your architectures to meet changing needs with less effort. Combine the flexibility and power of JSON with graph technology to extract next-generation features even from large datasets.

ActiveEdge®, a decision support platform developed by Cougaar Software, Inc. (CSI's), is based on the Cognitive Agent Architecture, (Cougaar), which is an open-source, distributed agent architecture. ActiveEdge®, which includes key extensions that simplify application development, increase agent functionality and enhance system capabilities, offers all the power of Cougaar. ActiveEdge®, which automates human reasoning, provides advanced narrow Artificial Intelligence solutions to some of world's most difficult problems. It transforms massive amounts of data into useful knowledge and then makes timely and effective decisions. ActiveEdge®, which provides advanced execution monitoring, collaborative decision support, and collaboration is also available. CSI's goal, to provide a next generation cognitive computing platform for building intelligent system - systems that understand the situation, and support users with reasoning and automatization.

We are ready to meet all your business needs, whether it is quick engineering, fine-tuning or training. The Together Inference API makes it easy to integrate your new model in your production application. Together AI's elastic scaling and fastest performance allows it to grow with you. To increase accuracy and reduce risks, you can examine how models are created and what data was used. You are the owner of the model that you fine-tune and not your cloud provider. Change providers for any reason, even if the price changes. Store data locally or on our secure cloud to maintain complete data privacy.

Email marketing services can be different from one another. A knowledgeable partner is needed to support your business' growth and provide guidance where it is needed. We will answer your calls, discuss strategy, deliver great emails, and provide you with detailed, actionable reporting. We love email as much and want to help you get the best results from your email marketing campaigns. This is a major reason we were included in the Inc. 5000. Our expert solutions and services have been helping thousands of customers send more than 50 billion emails over the past 15 years. We have a deep understanding of the needs and challenges of agencies like yours over this time. We have the expertise to help you deliver the best email marketing campaigns for your clients. Our advanced email technology allows for superior targeting capabilities, detailed metrics and actionable reporting.

You've come to the right place if you are looking for ways to start a credit repair business. You can become a credit repair specialist with a home-based credit recovery software that will help you resolve credit disputes in no matter how fast. Credit Money Machine Pro Plus is a credit repair software that combines financial, marketing, e-commerce and financial capabilities. Among those, the ability to extract derogatories from many credit monitoring services like 123IDscore.com, identity IQ, Identity Club, Privacy Guard, Smart Credit, MyFreeCreditScoreNow, Equifax, Credco, Credit Plus, Kroll Factual Data, etc., and additionally, assigning the letters and dispute reasons while classifying automatically the disputes by type.

GPT-5 is OpenAI's Generative Pretrained Transformer. It is a large-language model (LLM), which is still in development. LLMs have been trained to work with massive amounts of text and can generate realistic and coherent texts, translate languages, create different types of creative content and answer your question in a way that is informative. It's still not available to the public. OpenAI has not announced a release schedule, but some believe it could launch in 2024. It's expected that GPT-5 will be even more powerful. GPT-4 has already proven to be impressive. It is capable of writing creative content, translating languages and generating text of human-quality. GPT-5 will be expected to improve these abilities, with improved reasoning, factual accuracy and ability to follow directions.

The platform indexes BI and semantic layers, documents the data in dbt and uses OpenAI and linguistic models to provide self service power analytics. TextQL allows non-technical users to work with data quickly and easily by asking questions within their work contexts (Slack/Teams/Email) and receiving automated answers quickly and securely. The platform uses NLP and semantic layers including the dbt labs semantic layer to ensure reasonable solutions. TextQL's handoffs to humans analysts, when needed, simplify the entire question-to-answer with AI. Our mission at TextQL is to empower teams of business professionals to find the data they need in less than one minute. To achieve this, we assist data teams in surfacing and creating documentation for their data to ensure that business teams are able to trust that their reports will be up-to-date.

Emedgene streamlines tertiary analyses for germline research and rare disease genomics. Emedgene was designed to speed up the time and certainty of user-defined variant interpretations, prioritizations, curations, and research reports. Automate your tertiary analyses with explainable AI and automation that supports genomes, exomes and virtual panels. Unify your NGS instruments and your IT systems in order to simplify and secure the entire workflow. With the latest knowledge graph options, curation abilities, and a team to support you, you can confidently keep up with evolving science, technologies, and demand. Automated workflows and explainable AI (XAI), which can be used to increase throughput without adding more staff, are a great way to do this. Implement a high-throughput WGS,WES, virtual panel or targeted panel workflow integrated into your lab's ecosystem.

Finally, an Electronic Health Records system (EHR) that thinks and works like you do. Encite is a unique, comprehensive EHR knowledge base that was developed in collaboration with healthcare professionals across the country. Encite's EHR allows you to quickly and efficiently document every step of a patient's visit. Encite's EHR allows you to easily compare your test, diagnostic, and procedural results over time. Encite's software platform gives you the ability to manage patient care in any healthcare setting, from patient encounters to referrals, to pre-ops to procedures, and post-ops. Better information about patients leads to better medical decision-making. Encite's EHR intuitively tracks the thought process of healthcare professionals in real-time to allow them to think and work as they do. Many of our providers can easily record over 50 patient encounters per day.

MetaMate is a semantic service bus open source that provides a unified interface for accessing diverse sources of data, including APIs and blockchains. It also supports websites, peer-to-peer networks, and other web services. MetaMate allows seamless interaction with different services by mapping vendor-specific data to an abstract schema graph. The community-driven approach of MetaMate allows contributors to create new types and fields. This ensures that the system is updated with real-world data. The platform's type-system is derived from widely used data transmission technologies, such as GraphQL and gRPC. It also incorporates Thrift and OpenAPI to facilitate compatibility with different protocols. MetaMate enforces the backward compatibility of services and applications that are built on its platform programmatically. Using its command-line, it can also generate SDKs that are tailored to the specific needs of a project, and only cover the subsets of the schema graph that are desired.

Vantage Discovery is an AI-powered SaaS that enables intelligent searches, discovery and personalized recommendations. Retailers can create awe-inspiring user experiences with Vantage Discovery. Use generative AI for personalized recommendations, product discovery, and semantic search. Search capabilities can be transformed from keyword-based search to natural language semantics, where the user's intent, meaning, and context is understood and used for exceptional experiences. Create new and delightful experiences for your users, based on their preferences, interests, intent, and the merchandising goals of your company. Deliver personalized and targeted results for millions of items within milliseconds using a semantic understanding the user's query. Deliver powerful features through simple APIs to deliver delightful user experiences.

Cosine is able to understand and provide answers at a superhuman level, whether they are high-level or complex. We are not just an LLM-wrapper. We combine multiple heuristics, including static analysis and semantic search. Ask Cosine to generate a step-by-step guide on how to add new features or modify existing code. Cosine indexes your codebase and understands it on multiple levels. Cosine is able to answer any questions you may have about your codebase, from a graph relationship between functions and files to a deep understanding of the code. Genie is by far the best AI software engineer on the planet - achieving an eval score of 30% on the industry benchmark SWE Bench. Genie can solve bugs, build new features, refactor the code, and do everything else either fully autonomously, or in tandem with the user.

Opus, our intelligent model, is superior to its peers in most of the common benchmarks for AI systems. These include undergraduate level expert knowledge, graduate level expert reasoning, basic mathematics, and more. It displays near-human levels in terms of comprehension and fluency when tackling complex tasks. This is at the forefront of general intelligence. All Claude 3 models have increased capabilities for analysis and forecasting. They also offer nuanced content generation, code generation and the ability to converse in non-English language such as Spanish, Japanese and French.

Athens is an open-source, private tool for technology pioneers. A collaborative knowledge graph allows you to dynamically create, connect, or compound your research and documentation. Discover new research workflows, connect to 2,500+ people who are passionate about learning, and voice your opinion on the future self-hosted knowledge graphs. Today's problem is that we are becoming overwhelmed by information. We forget everything if we don't take note. We take too many notes and forget to take any. Search doesn't work. Folders don't work. And no one does tagging. Athens allows you to take notes without having to pray to the search gods. You can also save time by not double-clicking on folders and manually tagging. Athens Research is an online learning community that builds the most transparent and open-source knowledge base. The result is Athens, a free knowledge graph that can be used for notetaking and research. Athens is open-source and private. It can be extended and adapted by the community.

Wild Noodle is the only language-independent programming assessment system that measures job-related skills. Wild Noodle's 12-year-old assessment service has demonstrated a clear correlation between job success and assessment results. The Wild Noodle assessment can be used to increase the quality of your candidates, speed up hiring decisions and assess how well they can use all of their skills. It's simple to administer and candidates don't have to know the syntax. You gain insight into their creativity, problem solving skills, ability to learn and critical thinking.

Open, hybrid data lakes for AI and analytics can be used to put your data to use, wherever it is located. Connect your data in any format and from anywhere. Access it through a shared metadata layer. By matching the right workloads to the right query engines, you can optimize workloads in terms of price and performance. Integrate natural-language semantic searching without the need for SQL to unlock AI insights faster. Manage and prepare trusted datasets to improve the accuracy and relevance of your AI applications. Use all of your data everywhere. Watsonx.data offers the speed and flexibility of a warehouse, along with special features that support AI. This allows you to scale AI and analytics throughout your business. Choose the right engines to suit your workloads. You can manage your cost, performance and capability by choosing from a variety of open engines, including Presto C++ and Spark Milvus.

HyperGraphDB is an open-source, general-purpose data storage system that uses a powerful knowledge management approach called directed hypergraphs. Although it is a persistent memory model, it can also serve as an embedded object-oriented data base for Java projects of any size. Or a graph database or a (non SQLL) relational database. HyperGraphDB is a storage system that uses generalized hypergraphs for its underlying data model. A tuple is a collection of 0 or more tuples. Each atom is a tuple of this type. The data model can be viewed as either relational, where higher-order, non-ary relationships are permitted, or graph-oriented where edges point to an arbitrary set nodes. Each atom is assigned a strongly-typed, arbitrary value. The hypergraph that manages these values is embedded in the type system and can be customized from the ground up.

FindPeopleFast uses advanced algorithms to verify the identity and authenticity of people searching online. This ensures that you can be certain that an Alex search will bring up the Alex you are looking for. It is wired to provide very precise results when a search is performed. The platform uses public records to provide all information available about the individual, including any convictions. You will be able to find helpful results quickly if you have a first and last name. It is simple to use, which makes it easy to get useful results. Although it is designed to produce very accurate results, knowing more about the person than their name can help narrow down the results. This includes their age range and place of residence. FindPeopleFast makes it easy to find people for dates or other personal reasons.