Full-Time
Confirmed live in the last 24 hours
AI-enhanced data analysis and interpretation
Senior, Expert
Remote in USA
RelationalAI hires around the world; all roles are remote, but some locations might carry specific eligibility requirements.
RelationalAI enhances data analysis and interpretation using artificial intelligence. Its main product is an AI coprocessor that improves semantic models and conducts advanced analyses, such as graph analytics, to uncover hidden patterns in data. This coprocessor operates as a fully managed cloud service that integrates seamlessly with clients' existing data clouds, allowing for real-time synchronization and the application of various AI techniques to derive insights. Unlike competitors that offer limited functionalities, RelationalAI's solution is always aligned with the client's data, enabling more comprehensive analysis. The company's goal is to empower businesses across sectors like e-commerce and financial services to make better decisions, optimize operations, and enhance customer experiences through enriched semantic models.
Company Size
51-200
Company Stage
Series B
Total Funding
$73M
Headquarters
Berkeley, California
Founded
2017
Help us improve and share your feedback! Did you find this helpful?
Remote Work Options
Flexible Work Hours
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.
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
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
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.”
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