GenAI may be the most fascinating technology. But it’s also one of the fastest-moving, making deployment difficult for corporations. Companies must keep on top of GenAI trends and validate what’s working while ensuring accuracy, compliance, and security with each new invention.
There are several companies developing GenAI technologies for enterprises. Arcee helps organizations securely train, assess, and manage GenAI models, while Intel spin-off Articul8 AI develops algorithm-powered corporate applications.
Another newcomer joins the team.
Crux’s co-founders, Himank Jain, Atharva Padhye, and Prabhat Singh, construct AI models that answer corporate data inquiries in simple English, like OpenAI’s ChatGPT. Padhye says:
He said, “With a simple natural language command, executives can get any report, insight, root cause analysis, or prediction at their fingertips.” For instance, HubSpot marketers might query, “Why are my email campaigns to new users getting low conversions?”
The Crux platform, which Jain, Padhye, and Singh iterated roughly 15 times, turns database schema into a “semantic layer” that AI models can grasp. Padhye further notes that Crux lets companies tailor question-answering models to their business intelligence requirements, terminology, and rules, enhancing output quality.
Crux’s multi-model architecture breaks down user inquiries into bits and distributes them across specialized, purpose-built models. Padhye’s “clarification agent” approach asks follow-up inquiries to determine user intent.
Padhye says Crux trains models on-premise without client data.
“Crux aims to launch an AI-powered enterprise decision-making engine,” Padhye stated. Crux challenges traditional business intelligence technologies. Rethink the analytics stack as a decision-making stack and iterate faster.”
Crux sells subscriptions and charges setup and maintenance costs based on a company’s deployment size. Padhye said Crux’s yearly recurring income hit $240,000 in four months with four companies.
Crux plans to keep its personnel low, reaching 20 by year’s end. With $2.6 million from Emergent Ventures, Y Combinator, and angel investors, Crux wants to grow “up-market,” targeting new business customers, Padhye said.
Added Emergent Ventures’ Anupam Rastogi via email:
“BI and data analytics are undergoing a significant transformation due to advanced AI and large language models. Moving from static dashboards and manual reporting to real-time, accurate, and actionable data on demand will drive exponential development in this industry over the next decade. Crux has created a breakthrough solution that helps clients quickly increase income and is already drawing consumers.”
