CareerPilot AI Technologies develops intelligent browser copilots and semantic matching engines that eliminate hiring friction for applicants and enterprises alike.
Enterprise Cloud Infrastructure • Global / Hybrid
Extracted high-priority proficiencies: Microsoft Fabric, PySpark, Multi-agent LLM systems, XGBoost, and Time-series forecasting. Candidate demonstrates validated enterprise track record from Tier-1 industrial and tech enterprises.
Active Job Scrapes Processed: 12,400+
Average Candidate Callback: 43.2%
Two integrated layers designed to transform how candidates apply and how hiring teams evaluate talent.
An AI extension for Arc, Chromium, and Chrome that acts as an intelligent career copilot. Operates in real-time across LinkedIn, Techcareer, and Kariyer.net to provide instant ATS compatibility scores, tailored applications, and automated tracking.
Enterprise recruiting infrastructure for talent acquisition teams and university career centers. Utilizes Claude's 200k context window to ingest bulk candidate portfolios and rank semantic compatibility without bias or hallucination.
Why we chose Anthropic's frontier intelligence over legacy conversational LLMs.
Claude 3.5 Sonnet generates application materials that avoid generic AI clichés, crafting compelling personal narratives that mirror the candidate's authentic voice.
By implementing Anthropic's open MCP standard, CareerPilot connects browser clients seamlessly to candidate productivity hubs like Notion and local databases.
Rigid structured outputs guarantee accurate taxonomy extraction across tech stacks, ensuring skills are matched with mathematical precision.
CareerPilot AI Technologies was founded by data scientists and machine learning engineers graduated from Istanbul Technical University (İTÜ) Mathematical Engineering.
Having built enterprise predictive pipelines, distributed data architectures, and customer intelligence platforms across leading industrial conglomerates (including Eczacıbaşı Holding, Turkcell Technology, and Tüpraş), our founding team experienced firsthand the broken state of talent matching. We are building the intelligent layer that fixes it.
CareerPilot operates under strict zero-data-retention architecture. Candidate profiles and confidential resume details are never used for public model training.