Hiring was never designed
to be fair.
We're changing that.
TalentInfra is a network of six AI agents that strip bias, verify skills with evidence, and issue cryptographic credentials — so every hiring decision is transparent, defensible, and provably fair.
6
Specialized AI Agents
Real-time
Pipeline Visibility
100%
Auditable Steps
W3C VCs
Verifiable Credentials
Hiring is broken.
And everyone knows it.
A talented developer in Lagos writes better code than most of Silicon Valley — but her resume never reaches a human because an ATS filtered her out by school name. A senior engineer who took two years off for caregiving gets ranked below a fresh graduate because the algorithm penalizes employment gaps. A non-binary candidate is auto-rejected because the job description was written with unconscious gender coding.
This isn't a hypothetical. This is the default. Résumé screening tools optimize for pattern-matching against historical data — data that encodes decades of structural bias. The result? Talent is systematically overlooked, and no one can explain why.
75%
of resumes never seen by a human
46%
of job posts contain biased language
88%
of candidates want transparent feedback
0%
of rejections come with verifiable proof
What if hiring
started with evidence?
We built TalentInfra on a radical premise: strip away everything except what a person can do. No names. No photos. No school brands. No demographic signals. Just verified skills matched against real role requirements.
Six specialized AI agents work in sequence — each with a single responsibility, each explainable, each auditable. Together, they form a pipeline where every decision has a receipt and every outcome can be challenged.
"We don't just promise fairness. We prove it — cryptographically."
Traditional Hiring
- Name recognition bias
- School prestige filtering
- Gap penalization
- Black-box ATS scores
- No feedback trail
TalentInfra Pipeline
- Blind, anonymized review
- Evidence-based skill verification
- Transferable skills considered
- Transparent match reasoning
- Verifiable credential for every outcome
Six agents. One mission.
Every decision explained.
Each agent has a single responsibility, runs on its own LLM instance, communicates through the Zynd Protocol registry, and logs every action for full auditability.
Privacy Guardian
The Anonymizer
Before anyone sees your application, the Privacy Guardian strips away everything that doesn't matter — your name, photo, age, gender, ethnicity. What remains is pure signal: your skills, your work, your evidence. This is how blind screening should have always worked.
Rule-based PII removal + LLM-powered refinement for subtle identifiers. GDPR-aligned anonymization.
Bias Detector
The Equalizer
Job descriptions carry invisible filters — gendered language, age-coded requirements, elitist credential demands. The Bias Detector reads between the lines, flagging patterns humans miss and suggesting inclusive alternatives. It scores every posting for fairness before a single candidate is evaluated.
Linguistic + structural bias detection with severity rating. Diversity score and suggested rewrites.
Skill Verifier
The Evidence Seeker
Anyone can list "Python" on a resume. The Skill Verifier goes deeper — cross-referencing claims against portfolios, GitHub contributions, project complexity, and measurable indicators. It assigns confidence scores, not checkboxes. It finds the proof behind the promise.
Evidence-based skill verification with confidence scoring. Transferable skills considered.
Candidate Matcher
The Connector
With verified skills and an anonymized profile, the Candidate Matcher calculates fit purely on capability alignment. No school prestige. No company brand recognition. Just an honest answer to: can this person do this job? Skill gaps are listed transparently — no black boxes.
Objective skills-based matching with transparent weight reasoning and gap analysis.
Credential Issuer
The Notary
Every decision becomes a tamper-evident record. The Credential Issuer mints W3C Verifiable Credentials for every assessment — cryptographically signed, DID-anchored, and portable. Your evaluation is yours to keep, share, and challenge. Hiring outcomes finally have receipts.
W3C Verifiable Credentials with SHA-256 integrity proof and DID-based issuer identity.
Orchestrator
The Conductor
The Orchestrator is the intelligence that binds all agents into a single coherent pipeline. It sequences operations, resolves conflicts, synthesizes a final ADVANCE / HOLD / REJECT recommendation, and broadcasts every step in real-time. Nothing happens in the dark.
Full pipeline coordination with real-time WebSocket streaming and audit trail generation.
From application to credential
in under 20 seconds.
Every step is streamed to the frontend in real-time via WebSocket. You watch the agents work. Nothing happens behind closed doors.
Submit
0sApplication enters the pipeline
Anonymize
~2sPII stripped for blind review
Audit
~5sJob posting scanned for bias
Verify
~8sSkills cross-referenced with evidence
Match
~11sCapability alignment scored
Credential
~14sVerifiable credential issued
Decision
~16sFinal recommendation delivered
Built on principles,
not promises.
Every architectural decision in TalentInfra serves one goal: making hiring outcomes something both sides of the table can verify, challenge, and trust.
Privacy by Design
Identities are stripped before evaluation begins. No one sees what shouldn't influence the outcome.
Open Audit Trail
Every agent decision, score, and reasoning step is logged and reviewable — by the team and the candidate.
Cryptographic Trust
Outcomes are anchored with W3C Verifiable Credentials, signed by DID-authenticated agents via Zynd Protocol.
Bias Accountability
Job posts are scored for fairness. Biased language is flagged with severity ratings and rewrite suggestions.
Portable Credentials
Assessment results belong to candidates. Take them anywhere — they're cryptographically verifiable.
Human-Centered AI
Agents assist, they don't replace. Every recommendation is explainable in plain language a human can challenge.
Decentralized agent identity
for accountable AI.
Every agent in TalentInfra authenticates through the Zynd Protocol registry using Decentralized Identifiers (DIDs). This means each agent's actions are cryptographically attributable — you can verify which agent made which decision, and when. No spoofing. No ambiguity. Full accountability.
Agent Authentication
DID-based identity for every agent in the network
Credential Issuance
W3C Verifiable Credentials for assessment outcomes
Integrity Proofs
SHA-256 hashes ensure credential tamper-evidence
Registry Discovery
Agents discover and authenticate via protocol registry
Talent deserves better
than a black box.
Whether you're a candidate who wants proof of a fair process, or a team that wants defensible decisions — TalentInfra is built for you.
Open pipeline · Real-time agent streaming · Verifiable credentials · Zynd Protocol