Project Staffing  ·  Performance Reviews  ·  Merit Cycles

   

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.

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Industry-Agnostic Project Staffing

From Score-and-Rank to Intelligent Staffing

Efficient team collaboration using Castena
Castena Hybrid Engine

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
Frustrated team using spreadsheets for hiring
Deterministic Only

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
#1 Feature — AI Project Staffing Engine

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.

Deterministic Only
Pure algorithmic scoring — no AI reasoning
Step 1
Project Phoenix — Proposed Team
SC
Sarah ChenIC3
Backend Engineer · $12,400/mo
91
/100
JL
Jennifer LeeIC4
Lead Frontend · $10,800/mo
88
/100
MW
Marcus WebbIC3
Backend Engineer · $11,200/mo
86
/100
Monthly cost$34,400 / $30,000
115% utilization · $-4,400 headroom
What the algorithm cannot see:
  • 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
Hybrid — AI Reasoning Layer
Scores + qualitative judgment on real work signals
Step 2
Project Phoenix — AI-Adjusted Team
SC
Sarah ChenIC3
Backend Engineer · $12,400/mo
91
/100
JL
Jennifer LeeIC4
Lead Frontend · $10,800/mo
88
/100
MW
Marcus WebbIC3Excluded
Backend Engineer · $11,200/mo
86
/100
Marcus excluded by AI — retention risk (89%) and workload overload alerts
RT
Robert TaylorIC2AI Pick
Junior Backend · $7,800/mo
74
/100
Robert substituted in — mentored by Jennifer Lee to close skill gaps
Monthly cost
$31,000 / $30,000↓ $3,400 saved
103% utilization · $-1,000 headroom
What the AI added beyond the score:
  • 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
Total86/10074/100
DecisionSelected by algorithm — excluded by AISubstituted in by AI
Objective Output Evidence

Project milestones, task completions, peer kudos content — the AI reads the qualitative outcomes, not just aggregate stats.

Team Chemistry

Past collaboration history, unresolved conflicts, seniority balance — reasoned over holistically.

Growth & Career Fit

Whether an assignment hits an IC milestone or builds long-term team strength.

Risk the Score Misses

Retention health, workload balance, concurrent project overload — none of which fit in a score column.

See it live

Numbers find the candidates. AI finds the right team.

Platform Capabilities

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.

Top Feature

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.

Ready to experience these features?
Talent Sandbox Playground

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.

Talent Sandbox
Live Playground

Engineering Dept

4 Members
Drag me
Jennifer Lee
Jennifer LeeM2
Engineering Director
Performance: 94/100
Allotted:
Drag me
Sarah Chen
Sarah ChenIC3
Senior Backend Developer
OVERLOAD RISK: High Allocation
Performance: 98/100
Allotted:
Drag me
Robert Taylor
Robert TaylorIC2
Junior React Developer
PERFORMANCE GAP: 42% Coverage
Performance: 62/100
Allotted:
Drag me
Lisa Wang
Lisa WangIC3
DevOps Engineer
Performance: 89/100
Allotted:

Product Dept

3 Members
Priya Sharma
Priya SharmaIC3
Product Lead
Workload Status: Optimal
Allotted:
Amira Hassan
Amira HassanIC2
Associate PM
Workload Status: Optimal
Allotted:
Felix Meier
Felix MeierIC4
Lead UI/UX Designer
Workload Status: Optimal
Allotted:

Live Agent Audit Logs

COGNITIVE AUDIT AGENT

Evaluates org structural moves against historical performance scores, workload alerts, and compensation pools.

Compliance Checklist
System idle. Drag employees between departments or click promote / project triggers to evaluate restructuring.
Salary pool utilization96% allocated
Used: $47,900Remaining: $2,100
Fully Connected

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.

Sync completed repository milestones, closed issues, pull request merges, and peer appreciation updates
GitHub Integration
Track sprint milestone progress, completed task delivery, and high-level project targets
Jira Software Integration
Sync department-level closed-won deal values, total sales revenue, and team quota achievements
Salesforce CRM
Sync overall support SLA compliance rates, average customer satisfaction scores, and queue volumes
Zendesk Support
Import organizational structure, reporting lines, and target base salary bands
Workday HCM Integration
Sync team composition details, contract types, tenure milestones, and holiday capacity calendars
Personio Integration
Bulk-ingest historical team performance metrics, merit cycle budgets, and skills matrices from spreadsheet templates
Excel Data Ingestion
Don't see the tools your team uses? We build custom integrations in 48 hours.
Interactive Lifecycle

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.

Tailor your workflow:Linguistic Bias AuditSelf AssessmentManager AssessmentAdd / Remove
Tip: drag any card to reorder the workflow
#1

Recruitment Agent

Analyzes candidate CV PDFs, extracts skills and timeline career gaps automatically, and maps candidate fit scores across active projects.

#2

Project Assignment Agent

Automates hybrid project staffing by scoring candidates across 7 dimensions and adjusting for team chemistry, mentorship, and workload balance.

#3

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.

#4

Talent Intelligence Agent

Evaluates promotion readiness, career progression roadmaps, succession depth, and models organizational restructure scenarios.

#5

Calibration Agent

Audits review comments for linguistic bias, checks rating distributions, and runs multi-agent debates to normalize ratings.

#6

Compensation Modeler Agent

Models merit salary raise cycles under strict budget pools, optimizing for pay equity, compa-ratio alignment, and retention.

#7

Manager Copilot Agent

Prepares manager-employee 1-on-1 meeting agendas and actionable coaching logs based on recent project achievements.

#8

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 Started
Enterprise Security & Privacy

Built 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.

Strict Data Minimization · No Behavioral Surveillance · Human-in-the-Loop Oversight
Early Adopter Program

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

Dedicated Copilot training pairing for managers and team leaders
Tailored KPI & objective milestone configuration based on actual project deliverables
Priority support channel directly to our core engineering team
Locked founder pricing for subsequent merit planning cycles

Ready to be part of the talent operations revolution?

Limited beta spots • Founder pricing • Help shape the product

Get Involved

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.

Email Us

hany.erfan@castena.aimaja.preusse@castena.ai

We'll respond within 24 hours

Schedule a Call

Book a 30-minute discovery call

Mon–Fri, 9 AM–6 PM (CET)

Call Us

+49 162 7917069

Direct line to the founding team

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