PythonData Analysis
● BUILT FOR SAUDI WORKFORCE READINESS
Turn verified student evidence into workforce-ready talent.
Fursah helps students prove readiness. Employers can identify qualified applicants, and universities can address curriculum gaps. Every result links to inspectable evidence.
Deterministic scoring · Grounded AI explanations · Human decisions
Career Readiness Score84%
Evidence public speaking
AI Research InternAramco • Dhahran5/6 requirementsEvidence-linked
Explainable AI
No black boxes. Every recommendation includes clear reasoning based on evidence-based data points.
Human Oversight
AI acts as a co-pilot. Decisions are reviewed and validated by university career advisors and hiring managers.
Privacy-First
Privacy-conscious data handling. Students own their data and control who can see their professional profile.
Start with the decision you need to make
Every workspace turns verified evidence into a specific next action.
I’m a student
- ✓ Prove what you can do
- ✓ See what is missing
- ✓ Take the next best action
I’m hiring
- ✓ Define evidence-based requirements
- ✓ Compare qualified applicants
- ✓ Record a human decision
I represent a university
- ✓ See verified cohort gaps
- ✓ Connect demand to curriculum
- ✓ Assign measurable interventions
Seamless Workflow
Upload & Extract
Students upload certificates, projects, and experience. Fursah reads each document and proposes the skills it evidences, with the supporting text and a confidence level, for a human to confirm.
Identify & Upskill
Receive a Readiness Score and a custom roadmap to bridge gaps identified by real employer demands.
Match & Hire
Smart matching pairs ready candidates with roles and gives employers an explanation report for each fit.
Explainable AI as a Foundation for Trust
Fursah provides a reasoning card for each recommendation. The card explains the evidence and rules behind the result.
- ✓ Gender, nationality, age and GPA are not collected. They cannot affect a score.
- ✓ Scoring weights are published and inspectable
- ✓ Each decision records its ruleset version and reasoning
S.A.Sara Al-OtaibiCandidate ID: #88219
The candidate demonstrated advanced problem solving in CS401 and reached the 98th percentile in the 2024 Coding Olympiad.
Full-Stack Engineering High
13Illustrative student records
8Illustrative opportunities
4Illustrative employers
174Skills in shared taxonomy
Start with one readiness decision.
Explore an illustrative workspace, inspect the evidence behind every result, and follow the next action through to completion.