Professional Overview
Abhishek Agarwalla is the Co-founder and CEO of Fabric, a company specializing in AI-driven hiring solutions designed to combat AI-assisted cheating in recruitment processes. Based in Bengaluru, India, Abhishek leads Fabric's initiative to transform traditional hiring by integrating "Cheating Proof AI Interviews" that effectively filter genuine candidate capabilities from AI-generated applications.
Prior to founding Fabric, Abhishek was the CEO and Co-founder of Aidetic, an AI consulting firm that he successfully bootstrapped to over $2 million in revenue profitably. He has been deeply involved in AI product development since 2018, bringing a strong background in machine learning techniques and data analysis honed during his tenure at ZS Associates, where he supported enterprise clients in data-driven decision-making.
Abhishek holds a Bachelor of Technology degree in Petroleum Engineering from the Indian Institute of Technology, demonstrating a strong technical foundation.
Core Expertise and Industry Focus
- AI-powered Talent Acquisition: Abhishek’s work at Fabric directly addresses critical challenges in the hiring ecosystem caused by the proliferation of AI-generated resumes. His company’s AI interviewing platform substantiates candidate skills through real-world tests that cannot be gamed by AI assistance.
- Leadership in AI Product Development: Abhishek has been building and scaling AI-based products since 2018, showing significant entrepreneurial and technical leadership capabilities. Under his guidance, Fabric is positioned to become a global leader in AI interviewing technology.
- Recruitment Process Optimization: Fabric's platform has demonstrated the ability to reduce recruiters’ screening time by approximately 30-40 hours per role, equating to about a full workweek saved per recruiter. Companies using Fabric have reportedly cut their time-to-hire by 35% while improving the accuracy and quality of candidate shortlisting.
Company and Product Insights
Fabric addresses one of the fastest-evolving pain points in hiring: the overwhelming volume of AI-generated candidate resumes that flood traditional applicant tracking systems (ATS). This surge results in recruiters manually screening hundreds to thousands of candidates per role, often with diminished candidate quality and increased hiring timelines.
Key product differentiators and impacts include:
- AI-Enabled Candidate Screening and Real-World Skill Testing: Fabric automatically connects to job postings, evaluates applicants using practical challenges resistant to AI cheating, and shortlists only truly qualified candidates.
- Industry Reception and Market Position: Since its public launch announcement in July 2025, Fabric has garnered attention within the hiring and HR community as a necessary evolution in response to AI-driven hiring disruptions. Feedback from early adopters highlights Fabric’s practical impact in improving hiring efficiency and quality.
- Company Growth Trajectory: Founded approximately eight months prior to August 2025, Fabric is in an early but rapid growth phase, with Abhishek emphasizing a "Day 0" mentality regarding relentless product development and market penetration.
Professional Recognition and Influence
- Abhishek Agarwalla maintains an active online presence with over 10,900 LinkedIn followers and extensive content related to AI in recruitment and entrepreneurship.
- He has received the Indian Achievers’ Award, reflecting recognition for his professional contributions and expertise in AI and entrepreneurship.
- Prior ventures include Grow with the Flow podcast appearances and media coverage, demonstrating thought leadership in AI application, talent acquisition, and startup growth.
- His entrepreneurial track record includes the profitable scaling of Aidetic to a 50-employee organization and over $1 million in revenue initially, underlining his operational and scaling capabilities.
Relevant Discussions and Thought Leadership
- Abhishek has publicly detailed conversations with industry talent acquisition leaders highlighting the dramatic changes AI has imposed on recruitment workflows, such as recruiters spending up to 30-40 hours per role in manual candidate screening due to the prevalence of AI-generated resumes.
- He advocates that by 2026, AI interviews will replace traditional resumes, based on customer feedback and industry trends observed through Fabric.
- His insights emphasize the lag in corporate adoption of advanced AI hiring tools compared to candidate use of AI assistance, identifying a critical adaptation gap in the talent acquisition industry.
Summary of Key Data Points
| Attribute | Details |
|---------------------------------|----------------------------------------------------------------------------------------------|
| Name | Abhishek Agarwalla |
| Role | Co-founder and CEO |
| Company | Fabric |
| Location | Bengaluru, India |
| Education | Bachelor of Technology, Petroleum Engineering, IIT |
| Previous Experience | CEO & Co-founder at Aidetic (AI Consulting, $2M+ revenue) |
| Industry Focus | AI-driven recruitment, machine learning, digital transformation |
| Company Product Focus | AI-powered interview platform combating AI cheating in hiring |
| Company Performance | Fabric reduces time-to-hire by 35%, saves 30-40 recruiter hours per role |
| Professional Recognition | Indian Achievers’ Award recipient |
| Social Media Influence | 10,900+ LinkedIn followers, active content creator on AI and hiring topics |
| Leadership Experience | Scaling AI startups and consulting firms, hiring over 1,000 people at Fabric and Aidetic |
| Market Insight | Candidates heavily use AI tools; recruitment teams have yet to adapt fully |
This detailed profile of Abhishek Agarwalla highlights his expertise in AI-driven talent acquisition, his leadership in building Fabric as a disruptive hiring technology, and his ability to articulate market challenges and solutions effectively. His background in AI consulting and entrepreneurship, combined with Fabric’s proven impact on reducing manual recruitment workload, positions him as a key figure in the evolving intersection of AI and human resource management.
