We're a research-first company building infrastructure for a world where discovery happens through AI. Our team has spent decades inside complex systems — not building marketing tools, but engineering platforms that last.
"AI systems don't just retrieve information — they shape narratives. They decide what is emphasized, what is summarized away, and what never appears at all."
Copeek exists to bring clarity to that process. We believe companies deserve a clear, defensible understanding of how they are represented inside AI systems — and the ability to respond intelligently as those systems evolve.
For two decades, visibility meant ranking in search results. The rules were complex but observable. Companies could invest in understanding the mechanics of discovery because those mechanics — however opaque — followed patterns that could be studied.
That era is ending. AI systems now mediate how information reaches people. They synthesize, summarize, and recommend — often without revealing the logic behind their choices. What appears in an AI response isn't a link to verify. It's an assertion presented as fact.
This creates a new kind of visibility problem — one that demands infrastructure capable of systematic observation, not just periodic spot-checks. We built Copeek because this problem requires the kind of long-term, rigorous approach that marketing tools aren't designed to provide.
AI models change constantly. Understanding visibility requires sustained observation across time, not snapshots. We build systems designed to track, compare, and surface patterns over months and years.
Our infrastructure is built for durability and correctness. Every data point is traceable. Every metric is backed by evidence. We don't optimize for impressive dashboards — we optimize for defensible insights.
We acknowledge uncertainty where it exists. AI systems are probabilistic and evolving. We don't pretend to have control over what AI says — we provide clarity on what it actually does say and how that changes.
This isn't about chasing trends. It's about understanding how influence works when discovery is mediated by machines.
Virat has been building and operating internet infrastructure since his teenage years. He began working in the SEO and search ecosystem at 17, at a time when discoverability on the internet was still deeply tied to how systems were engineered rather than how they were marketed.
Over the next 17 years, that early exposure evolved into a career strongly rooted in DevOps, platform engineering, and large-scale systems. His work has focused on designing, deploying, and maintaining long-running, high-reliability systems — environments where uptime, data integrity, and operational discipline directly affected business outcomes.
What distinguishes Virat's background is that much of this infrastructure work served the SEO and search industry, giving him a rare perspective on how visibility is earned, lost, and regained when platforms change their underlying mechanics.
At Copeek, Virat brings that systems-first approach to AI search. His focus is on building infrastructure that can survive model shifts, platform changes, and increasing complexity — so companies can understand how they are represented inside AI systems with confidence and clarity.
Shankar is a seasoned machine learning and data science expert whose career has been spent working on complex, high-impact analytical systems.
He has contributed to projects for some of the most demanding institutions in the world, including NASA and the United States Department of Defense, where rigor, precision, and reliability are mission-critical.
His expertise spans advanced machine learning, statistical modeling, and large-scale data analysis — with a consistent focus on extracting meaningful intelligence from complex and imperfect data.
At Copeek, Shankar leads all ML and AI research, shaping how the platform interprets AI-generated outputs, identifies patterns across models, and surfaces insights that go beyond surface-level metrics. His work ensures that Copeek operates at a depth few platforms attempt, and fewer can sustain.
Join companies who are taking AI representation seriously.