Skolarli builds integrity infrastructure for AI-era hiring — proctored assessments, structured video interviews, verifiable credentials, and an OS-level integrity browser purpose-built for secure candidate evaluation. The problem we set out to solve became clear when generative AI changed what candidates could bring into an assessment. Resumes, unstructured interviews, and browser-only proctoring stopped producing reliable signal. We rebuilt the evaluation stack from the operating system up.
Most hiring systems still rely on outdated proxies — resumes, unstructured interviews, browser-based proctoring, and evaluation methods that produce inconsistent signal when candidates can silently invoke AI during assessment. The gap between what current infrastructure evaluates and what hiring decisions actually need has widened continuously since generative AI became broadly accessible.
Skolarli is building the infrastructure that closes this gap — evaluation architecture that produces reliable capability signals, integrity verification that operates below the browser layer where AI tool access actually happens, and credential infrastructure that carries defensible evidence of the evaluation itself. Our category ownership is integrity infrastructure for AI-era hiring specifically.
Enterprises hiring in the AI era face unreliable signal problems that browser-based proctoring, keyword filters, and unstructured interviews weren't designed to solve. Every day of continued use of legacy infrastructure produces additional bad hires whose costs compound across organisational outcomes.
Skolarli's evaluation platform addresses this through OS-level integrity infrastructure, structured video interviews with proctoring at scale, coding assessments in controlled environments, business case evaluation with substantive analytical depth, and verifiable credentials that produce durable evaluation evidence. The evaluation architecture is designed to produce reliable signal at scale rather than to optimise for candidate volume alone.
In Hindu iconography, the swan — hamsa — is the vahana of Saraswati, the goddess of knowledge and learning. For an Indian edtech company, no symbol could be more natural. The swan has carried the idea of learning across centuries; we're carrying it across a different kind of distance.
We folded our swan from origami. Origami is the art of taking a single blank sheet and turning it into something meaningful — through nothing but careful, intentional folds. That's what learning does. That's what assessment reveals. That's what credentialing preserves. Precision and transformation, from a single starting point.
The wordmark is set in Playfair Display, a high-contrast serif. Confident and a little bold. The kind of typography that's comfortable being looked at — and that carries the quiet authority of established knowledge. A serif that doesn't apologise for itself.
Skolarli is co-founded by Vinay Kannan and Jayalekshmy. Building integrity infrastructure for AI-era hiring from Bengaluru.
Book a 30-minute walkthrough and see how Skolarli runs the full hiring loop — proctored assessment, structured interview, verifiable credential — all defended at the OS level by the browser we built ourselves.