
Airin, Inc.
Airin - Build Your Own Expert System.
Date | Investors | Amount | Round |
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- | investor | €0.0 | round |
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$800k | Seed | ||
Total Funding | 000k |
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Airin, Inc. operates as a deep technology company focused on artificial intelligence, specifically in cloning cognitive reasoning to augment and scale enterprise expertise. Founded in 2017 by Linda Klug and Elisha Davidson, the Park City, Utah-based firm aims to address the complexities of corporate knowledge transfer and decision-making. Linda Klug, the CEO, is an entrepreneur with five enterprise technology patents, one of which led Gartner to create a new technology category called “Knowledge Graph-Based Reasoning Systems”. The company has secured approximately $3.1 million in seed funding over several rounds to fuel its growth.
The core of Airin's business is a B2B SaaS platform that enables enterprises to create their own AI Expert Systems without requiring data scientists or engineers. The platform works by cloning the problem-solving methodology of a company's top experts, focusing on the patterns in their questions and hypotheses rather than just their answers. This creates an "AI companion" that assists the broader team, including customers, agents, sales teams, and consultants, in solving complex problems independently. This service is designed for horizontal application across various industries, serving clients like cloud solution engineers, contact center agents, and accounting audit associates. The business model appears to be subscription-based, providing access to its AI decision platform.
Airin's product offers several key benefits to its enterprise clients. It significantly reduces problem-solving time, with one client, Dealertrack, reporting a 25% decrease in mean time to resolution. The platform also accelerates the onboarding and training of new hires; Vivint Solar, for instance, cut new hire ramp-up time from six weeks to three. By automating complex decision-making and coaching, the system aims to lower human labor costs and reduce reliance on a small pool of specialized experts. For example, Teradata reported saving over $1 million in solution engineering labor costs in a single year for one team. The platform essentially creates a scalable, perpetually learning knowledge base that retains expertise within the organization.
Keywords: cognitive reasoning, AI expert systems, knowledge management, enterprise AI, decision automation, corporate training, B2B SaaS, problem-solving platform, expertise cloning, employee onboarding, AI companion, knowledge graph, deep technology, Linda Klug, Elisha Davidson, workforce augmentation, cognitive automation, enterprise software, decision support, AI-powered coaching