Based on Berkeley Induigenceai It emerges from Stealth this week with $ 10 million in seed funding. Intuigenceai’s agent achieved 81% for the first time for the standard NCEES Professional Engineering test, hitting the chatgpt by eight times. PEE exams are something that gets engineers with advanced degrees for several years of work experience to achieve. Funding comes as the construction faces a huge lack of workforce with almost half of the experienced engineers who will retire in the decade.
Intuigencea has developed what it calls “synthetic engineers”. AI agents digitize technique … more
SensitivityFounded by Moe Tanabian, a former Microsoft VP, who previously led the company Azure IoT and Industrial AI of the company, Intuigenceai has developed what it calls “synthetic engineers”. AI agents digitize technical plans and other specialized and specific data that perform factories, plants and refineries. These diagrams, along with real -time IT industrial data, drive everything, from daily functions to half billions of dollars of project maintenance.
Intuigenceai is already piloted in several large companies, including energy and industrial production sectors. In one case, the system had been tasked with designing a critical flow of work for a downstream refinery. In another, it helped a multinational industrial company over 2,000 pages of technical documentation for conventional compliance and risk. Ibrahim A-Syed, head of digital transformation in Celanese, a Fortune 500 chemical manufacturer, says that “Intuigenceai’s synthetic AI engineers, it was inconceivable that operational work flows can be automated so quickly.
Moe Tanabian, founder and CEO of Intuigence.
SensitivityTanabian said because of their highly focused training, Intrigenceai’s synthetic engineers do not give up or offer “depending” answers. Instead, they operate within strict confidence limits and report every recommendation back to a source. “We do not make general reasoning. We are not trying to compete with Chatgpt. This is narrow and vertical AI, designed to solve specific problems of hard engineering. Our advantage comes from training in privately owned customer data locked behind the corporate walls,
The interface of the company looks like a typical design cooperation suite, chatting, sharing documents and work lists. But behind the scenes, each request is encountered by a constellation of special factors, such as a security analyst, a design reviewer and a compliance controller, each coordinated in technical documents, standards and playbooks.
Agentic work flows.
SensitivityIntuigenceai also builds what it calls “sector core”, a structured representation of expert knowledge for each sector. It is a edited, contextual model of how knowledge is applied within real work flows. The core, Tanabian says, is what allows the system to simulate not only to export but also the crisis.
“In the early days of aviation, pilots had to manually control every surface and organ. Today, many of them have automated, but we trust the system because we know how it thinks,” Tanabian said. “Our AI will handle daily duties and pull people when it is necessary to manage exceptions.”
Production of procedures represents a $ 4 trillion market that remains largely subdued, despite the operation of some of the most complex industrial facilities in the world, Tanabian explained. “The production of procedures sounds specialized. But it is really huge.”
“We are proud to lead the investment in Intuigenceai as they build AI Copilot for complex industrial engineering,” said Scott Brady, chief executive of the former CEO of Google CEO Eric Schmidt’s Venture Capital Fund, Innovation Endeavors. “This is a system that has already surpassed the leading chemical engineers in professional benchmarks. In a $ 4 trillion sector facing huge labor challenges, with up to 50% of specialized talents retiring from the end of the decade, solutions are necessary.”
Tanabian says that the biggest challenge is culture. “Engineers are skeptical of their nature, this is doing them good at work, but they spend about 30% of their time searching through fragmented document systems. Tanabian says Intuigence is a power multiplier, allowing lean groups to undertake more complex projects.” Is to let the engineer focus on engineering. “
