Full-Time
Confirmed live in the last 24 hours
AI-enhanced data analysis and interpretation
Senior, Expert
Remote in USA
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RelationalAI uses artificial intelligence to improve data analysis and interpretation through its AI coprocessor, which enhances semantic models and performs advanced analyses like graph analytics. This product operates as a fully managed cloud service that integrates with clients' data clouds, providing real-time insights and allowing for the application of various AI techniques. Unlike competitors, RelationalAI's solution is always in sync with client data, enabling more comprehensive analysis for applications such as fraud detection and supply chain optimization. The company's goal is to deliver enriched semantic models that support better decision-making and operational efficiencies.
Company Size
51-200
Company Stage
Series B
Total Funding
$73M
Headquarters
Berkeley, California
Founded
2017
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Remote Work Options
Flexible Work Hours
Google has introduced Gemma, a series of lightweight, open-source models that analysts say could herald the arrival of a sleeker form of artificial intelligence (AI). The company launched two Gemma versions, Gemma 2B and Gemma 7B. These large language models (LLMs) can adjust to instructions, working on laptops, desktops, or in the Google Cloud. Google reports that Gemma models are efficient for their size, beating bigger models like Meta’s Llama-2 in tests of reasoning, math, and programming skills. “Smaller models are more portable and able to be deployed for a wider scope of use cases, such as remote operations or devices with limited local storage,” Sam Mugel, the CTO of Multiverse Computing, said in an interview. “Reducing the overall size of these models also reduces the energy required to operate them.”
Time's almost up! There's only one week left to request an invite to The AI Impact Tour on June 5th. Don't miss out on this incredible opportunity to explore various methods for auditing AI models. Find out how you can attend here. RelationalAI, a startup that applies artificial intelligence directly to relational data, today announced the general availability of its Knowledge Graph Coprocessor on the Snowflake Data Cloud. The offering, first previewed last year (which we covered in-depth here), enables Snowflake customers to build knowledge graphs and leverage advanced AI and analytics capabilities without moving data out of their Snowflake environment.“This is a huge win for the customer,” said Molham Aref, cofounder and CEO of RelationalAI, in an interview with VentureBeat. “Normally, in order to do the kinds of things we do — graph analytics, rule-based reasoning, prescriptive analytics, predictive analytics — you have to pull the data back out from Snowflake and put it into a point solution
RelationalAI announced the preview availability of what it calls its AI coprocessor for data clouds and language models today at Snowflake Summit in Las Vegas.
Relational is excited to announce the RelationalAI Command-Line Interface, which is used to interact with the Relational Knowledge Graph Management System (RKGMS).
Berkeley, CA – According to filings with the U.S. Securities and Exchange Commission, RelationalAI is raising $73,999,947.00 in new funding. Sources indicate as part of senior management Chief Executive Officer, Molham Aref played a key role in securing the recent investment and it will aid in aggressively expanding the company, as well as broaden and accelerate product development. About RelationalAI
Snowflake is one of several companies that have shown confidence in RelationalAI, which has raised $122 million in funding from investors including Menlo Ventures, Addition, Tiger Global, and Madrona Venture Group.
Frederic Lardinois / TechCrunch:RelationalAI, which develops knowledge graphs for data-driven apps, raises a $75M Series B led by Tiger Global and adds ex-Snowflake CEO Bob Muglia to its boardRelationalAI, a startup that wants to change the way data-driven applications are built by combining a database system with a knowledge graph Click here to read full news.
The demand for high-quality data, essential for powering artificial intelligence (AI) conversational tools like OpenAI’s ChatGPT, may soon outstrip supply and potentially stall AI progress, industry analysts warned. The exponential reliance on comprehensive datasets is a double-edged sword for AI development. While necessary for enhancing the sophistication of models like ChatGPT, the impending data shortage is raising alarms within the tech community. The shortage of AI training data stems from the need for large volumes of high-quality, diverse and accurately labeled data that is representative of the real-world scenarios the model will encounter. Acquiring such data is often a time-consuming task, as it may involve manual annotation by domain experts, collection from a wide range of sources and careful curation to ensure data quality and eliminate biases
Relational is honored that RelationalAI has been recognized as a Gartner Cool Vendor for Augmented Data Management.
Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. Learn More. RelationalAI, a Berkeley, California-based artificial intelligence (AI) startup, announced today the release of a product it’s calling an AI “coprocessor” built for Snowflake, the popular cloud data warehouse provider. The coprocessor integrates relational knowledge graphs and composite AI capabilities into Snowflake’s data management platform. The startup announced its preview availability at Snowflake Summit 2023, an annual user conference.The new offering underscores Snowflake’s push to become an end-to-end platform for enterprise AI and RelationalAI’s vision for an integrated approach to building intelligent applications. “We’re bringing the support for those workloads inside Snowflake,” RelationalAI CEO Molham Aref said in an interview with VentureBeat