Enterprise
AI ResourcesÂ
Not all AI matching solutions are the same.
Built Different
While most vendors still rely on outdated keyword searches, basic skill extraction, and historically biased activity logs, Fastr.ai delivers true enterprise-grade intelligence: Transformer-based dense retrieval that understands context and transferable skills, architecturally embedded bias prevention, and SOC 2 + ISO 27001 security.
Download our complete March 2026 technical library below and get straight answers to the questions that matter:
What makes our matching technology superior?
Why is our bias mitigation architecturally superior with zero adverse impact?
How do we provide real transparency and explainability?
Why is our resume parsing far more reliable than generic parsers?
How does Fastr.ai deliver proven enterprise-grade information security?
Technical Resource Library
Candidate Matching & Recommendation Technology Fact Sheet
AI-powered candidate matching platform using dense retrieval. Covers model architecture, training methodology, performance metrics, bias evaluation, and responsible AI practices.
Bias Mitigation & Fairness Overview
Details Fastr.ai’s multi-stage approach to bias prevention: debiased training data, demographic data handling, automated auditing at scale, and how it compares to industry norms.
Resume Parsing Technology Fact Sheet
Multi-stage ML pipeline for resume parsing. Covers NER extraction, entity linking, skills disambiguation (64k taxonomy), performance metrics, limitations, and responsible AI considerations.
Bias Evaluation Report
Statistical bias audit across 12M+ candidate-job pairs. Reports gender and race/ethnicity fairness metrics including Cramér’s V, rank fairness ratios, selection rates, and EEOC 4/5ths rule results.
Buyer’s FAQ: Understanding AI Matching Technology
Buyers don’t know what they don’t know when evaluating AI matching vendors. This FAQ arms you with the exact questions every enterprise buyer should be asking — and our clear, technical answers — so you can confidently compare explainability, bias-testing rigor, training data quality, dense retrieval vs. filter-based systems, and real production performance.
Information Security Overview
Comprehensive overview of Fastr.ai’s technical and organizational security controls. Covers AES-256 data encryption, Azure cloud infrastructure, SOC 2 Type II & ISO 27001 certifications, role-based access control, network segmentation, penetration testing, vulnerability management, disaster recovery planning, and third-party subprocessor vetting policies.
Compliance, Integrity, and Confidentiality
Data protection comes above everything we do. Reliability and security is at the core of our technology and culture.Â
Annual Pen Test
Report Provided During
InfoSec Stage
100% Data Encryption
When Data in Motion and at Rest
