SkillVee's answer

SkillVee combines realistic, company-specific AI interview simulations with performance-based skill verification designed exclusively for data-science roles. Instead of relying on résumé keywords, the platform highlights real, demonstrated abilities that employers can trust.

Split Fee's answer:

Split Fee is the first purpose-built platform for split fee recruitment in the UK. Instead of relying on LinkedIn groups, WhatsApp messages, and manual agreements, agencies upload their candidates and vacancies and the platform automatically matches them across agencies.

Candidate identities are revealed gradually; anonymised at first, then progressively disclosed as both sides accept, so agencies can collaborate without the risk of circumvention.

SkillVee's answer

SkillVee offers tailored interview practice for data-science professionals, complete with adaptive feedback and verified skill profiles that help users stand out to employers. The platform is fully free to use and focuses on real performance rather than generic coding questions or résumé screening.

Split Fee's answer:

Most "split fee networks" are just directories or social groups where agencies post and hope someone responds. Split Fee is an actual matching engine. It scores candidate-vacancy pairs, handles the legal agreements (non-circumvention, self-billing), automates invoicing and fee splits, and manages the entire placement lifecycle from match to payment. Everything that normally requires trust, phone calls, and spreadsheets is handled by the platform.

SkillVee's answer

The primary audience includes data-science, machine-learning, and analytics professionals preparing for technical interviews, as well as early-career candidates transitioning into data roles who want realistic practice and objective skill validation.

Split Fee's answer:

UK recruitment agencies; from boutique firms with a handful of consultants to mid-sized agencies with specialist sector coverage. Any agency that has either strong candidates without the right vacancies, or client vacancies they can't fill from their own candidate pool. Split Fee turns those dormant assets into placements.

SkillVee's answer

SkillVee was created after seeing talented data professionals repeatedly struggle with hiring processes dominated by automated résumé filters and inconsistent interview expectations. The founders built SkillVee to give candidates a fair way to practice real interview scenarios, demonstrate their abilities, and connect with opportunities based on skill—not keywords. The platform joined Stanford StartX, gaining mentorship and support to bring this vision to life.

Split Fee's answer:

Abbie, our founder, knew that although split fee arrangements have existed in recruitment for decades, the process has always been manual: find a partner agency, negotiate terms, trust them with your candidate data, chase invoices. Most agencies avoid it because the overhead and risk outweigh the reward. Abbie built Split Fee to remove that friction entirely, with automated matching, progressive identity disclosure, built-in legal agreements, and automated billing, making split placements as straightforward as direct ones.

SkillVee's answer

SkillVee is built using modern web and AI technologies, including:

Large Language Model–based AI interviewers

Python and Node.js for backend services

React for the frontend

PostgreSQL for data storage

AWS and Vercel for hosting and infrastructure

Split Fee's answer:

A next-generation serverless platform, built for AWS.

SkillVee's answer

Data-science professionals preparing for FAANG-level interviews

Users who have landed interviews at companies such as Google

Users who have landed interviews at companies such as Meta

Users who have landed interviews at companies such as Airbnb

Users who have landed interviews at companies such as Microsoft

Users who have landed interviews at companies such as Netflix