AI proposes. You decide.
Castena reasons across performance evidence, staffing, compensation, and recruiting — simulates decisions before you commit, shows the evidence chain behind every recommendation, and keeps a human veto on every action. Evidence-grounded. Human-gated. Audit-ready.
Cass
From Score-and-Rank to Intelligent Staffing
Deterministic Scoring + AI Reasoning
- Two-Phase Staffing: Combines deterministic scoring with provable performance evidence (objective KPI outcomes, reviews) and qualitative AI reasoning
- Evidence-Based Risk Mitigation: Cross-references manager reviews, retention risk ≥80%, and workload overload alerts to automatically swap at-risk staff before resignation
- Mentorship Pairing: Matches senior engineers with junior team members for skill transfer and career growth on every project
- Team Chemistry & Overload: Evaluates seniority mix, cross-project load, and domain fit — factors no scoring formula can capture

Weighted Scoring & Greedy Selection
- Score-and-Rank Only: Scores candidates on skills, cost, and availability — then picks the top N within budget. No second opinion
- Blind to Retention: Cannot detect that a top-scored employee has 89% retention risk or requested zero new allocations due to workload overload
- No Growth Routing: Assigns the same senior engineers repeatedly — juniors never get stretch assignments or mentorship pairing
- No Team Awareness: Treats each slot independently — ignores seniority balance, cross-project overload, and domain context
Build the Perfect Team in Minutes
Phase 1: A deterministic engine scores every candidate across 7 weighted dimensions — skill match, availability, cost, experience, competency, certifications, and timezone.
Phase 2: An AI layer reasons over everything the numbers cannot capture — retention health, workload balance, team chemistry, mentorship fit, and cross-project allocation.
- • Marcus Webb's retention risk: 89% — talent assessment shows alignment gaps
- • His sprint task velocity decreased — workload overload risk invisible to the score
- • Unresolved conflict with Jennifer Lee from a prior code review — no metric captures this
- • Retention risk enforcement — excluded Marcus (89% risk) to protect project continuity
- • Mentorship pairing — Robert under Jennifer's guidance accelerates his IC3 readiness
- • Budget optimized — $3,400/mo freed for future project headroom
Scoring Engine — Why Marcus ranks higher but gets excluded
| Dimension | MWMarcus WebbDet. pick | RTRobert TaylorAI pick |
|---|---|---|
| Skill Match/30 | 26 | 21 |
| Availability/20 | 19 | 20 |
| Cost Efficiency/15 | 13 | 15 |
| Experience/15 | 14 | 9 |
| Competency Fit/10 | 9 | 6 |
| Certifications/5 | 3 | 2 |
| Timezone/5 | 2 | 1 |
| Total | 86/100 | 74/100 |
| Decision | Selected by algorithm — excluded by AI | Substituted in by AI |
Project milestones, task completions, peer kudos content — the AI reads the qualitative outcomes, not just aggregate stats.
Past collaboration history, unresolved conflicts, seniority balance — reasoned over holistically.
Whether an assignment hits an IC milestone or builds long-term team strength.
Retention health, workload balance, concurrent project overload — none of which fit in a score column.
Numbers find the candidates. AI finds the right team.
8 Specialized AI Agents
An intelligent mesh of specialized agents that manages the full talent lifecycle — led by the Project Staffing Engine, the most powerful capability in the platform.
Agentic Project Staffing
Hybrid AI + Deterministic Engine
Phase 1: A 7-dimension deterministic engine scores every candidate on skill match, availability, cost efficiency, experience, competency, certifications, and timezone fit.
Phase 2: An AI reasoning layer reviews actual, provable outcomes from your project deliverables and talent tools to evaluate key qualitative signals — like team fit, retention health, workload balance, mentorship pairing, and cross-project allocation.
KPI-Backed Reviews
An industry-agnostic engine that auto-generates objective performance reviews from closed deliverables in your systems of record (project tools, CRM, support desk) and peer kudos — no more word-of-mouth.
Linguistic Bias Audit
Detect unsupportable and gendered language in reviews in real-time, presenting evidence-based objective rewrites side-by-side to eliminate subjective claims.
Calibration Sandbox
Run interactive, department-wide rating distributions to calibrate talent reviews and balance organizational growth in real-time.
Smart Merit Modeler
Model merit raise cycles under strict budget pools, automatically optimizing for compa-ratio alignment, pay equity, and retention risks.
Multi-Agent Debate Panel
Structured three-agent debates — Peer Advocate, Auditor, and HR — to evaluate promotion eligibility, pay raises, and project fit without human bias.
RPG Career Skill Tree
Gamified visual career roadmap with branching bezier curves, wind-swayed foliage, and quest lines populated by the Training Agent — employees unlock nodes as they grow.
Succession & Retention Risk
Succession depth trees map organizational readiness, while retention risk analysis flags at-risk employees with actionable retention plan recommendations.
Multi-Candidate CV Comparison
Upload multiple candidate CVs, extract skills and professional experience automatically, and evaluate candidate fit scores side-by-side across active projects.
Interactive Restructuring Sandbox
Drag and drop cards between departments or trigger actions directly to test Castena's AI guardrails against skill gaps and workload imbalance.
Engineering Dept
4 MembersProduct Dept
3 MembersLive Agent Audit Logs
Evaluates org structural moves against historical performance scores, workload alerts, and compensation pools.
Unified Talent Operations.
Castena is completely industry-agnostic, integrating seamlessly with your engineering, sales, customer support, and HR systems of record (like Workday and Personio) to form a unified, evidence-based performance record.
Your Talent & Staffing Lifecycle
An end-to-end multi-agent platform that manages your entire talent lifecycle based on verifiable outcomes—not guesswork. The interactive workflow seamlessly adapts to your processes, allowing you to customize steps like Linguistic Bias Audits, Calibration Debates, and Hybrid AI Project Staffing.
Recruitment Agent
Analyzes candidate CV PDFs, extracts skills and timeline career gaps automatically, and maps candidate fit scores across active projects.
Project Assignment Agent
Automates hybrid project staffing by scoring candidates across 7 dimensions and adjusting for team chemistry, mentorship, and workload balance.
Performance Review Agent
Automatically aggregates objective work achievements (such as completed deliverables, customer satisfaction scores, sales quota progress, or support tickets) and drafts objective performance reviews based on hard evidence.
Talent Intelligence Agent
Evaluates promotion readiness, career progression roadmaps, succession depth, and models organizational restructure scenarios.
Calibration Agent
Audits review comments for linguistic bias, checks rating distributions, and runs multi-agent debates to normalize ratings.
Compensation Modeler Agent
Models merit salary raise cycles under strict budget pools, optimizing for pay equity, compa-ratio alignment, and retention.
Manager Copilot Agent
Prepares manager-employee 1-on-1 meeting agendas and actionable coaching logs based on recent project achievements.
Training Recommendation Agent
Suggests targeted course recommendations and study plans to bridge identified skills and competency gaps.
Ready to Get Started?
Experience the power of AI-driven talent operations. Streamline your evaluations, eliminate rating bias, and optimize your project staffing cycles today.
Get StartedBuilt for European
Labor Standards
Castena is designed from the ground up to respect employee privacy rights and comply with the strictest data protection regulations, including GDPR/DSGVO and German labor law.
GDPR / DSGVO Datenschutz
We apply strict Datenschutz guidelines and data minimization. Castena tracks no sensitive PII or private employee details, keeping all evaluations focused strictly on objective performance deliverables.
BDSG § 26 & Works Council Friendly
Designed to align with German co-determination laws. Performance evaluation relies strictly on objective business outcomes (sprints, targets, KPIs) rather than intrusive behavioral surveillance (keystrokes, active hours).
Anti-Profiling (GDPR Art. 22)
Our AI operates strictly as an advisory copilot. There is no automated profiling or automated employment decisions; managers retain final approval and ownership over all staffing and performance calibrations.
Data Sovereignty
EU-region processing today, fully on-premise language models on the roadmap. Platform and data stores deploy in your environment, and every recommendation is documented in a printable, works-council-ready decision dossier.
Join Our Beta Program
Be part of our exclusive early adopter program and help shape the future of governed talent operations. Get early access to our MVP, influence product development, and secure founder pricing.
Early Adopter Benefits
Ready to be part of the talent operations revolution?
Limited beta spots • Founder pricing • Help shape the product
Talk to Our Team
Have questions about project staffing, raise modeling, bias audits, or talent calibration? We’ll help you explore the best fit for your organization.
Let's Build the Future Together
We're building something revolutionary in agentic talent operations. Whether you're interested in joining our beta program or forming strategic partnerships, we'd love to connect with you.
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