Citadel Agentic Labs

Foundation models commoditized.
Orchestration is the moat.
Trust is the product.

Two products. One responsible-AI thesis.

Zyphercommercial flagship·Elektra Skillsopen-source engine

Built with Human and AI
  • 447+PRs across 4 repos
  • 5,600+tests
  • 0human engineers
  • 11layer stack
YC S26 applicant ↗

How it works

Responsible AI is our architecture,
not our marketing.

The hero said trust is the product. This is what that means in practice — the same 7-pillar framework runs inside Zypher and ships as Elektra Skills. Auditable, not asserted.

Your graph is yours

Identity anchored to personal email. Change jobs — your career context moves with you. GDPR Article 20 by design.

One companion, one professional

No enterprise resale of individual intelligence. No aggregation across users. Your data compounds for you — and only you.

Show the work

Every source cited. Every number deterministically computed. Every document includes an Intelligence Receipt you can verify.

The mechanisms behind the commitments

Sources

T1–T5 trust tiers at fetch time

SEC filings, wire services, news, social — each tagged before reaching the council.

Council

4 purpose-built councils

Analysis, Research, Generation, Monitoring — task-routed across Gemini, Claude, GPT, Grok.

Compute

Deterministic figures (L3.5)

DCF, WACC, CAGR, Monte Carlo — computed by Python, never generated by an LLM.

Acceptance

Your sign-off, not the AI’s

Per-section confidence scores. Amber flags surfaced. Intelligence Receipt verifiable at a public URL.

Read our full RAI framework

7 pillars · audit trail · compliance roadmap

Use cases

Built for professionals who ship.

E1 — Consultant

Competitive landscape in 20 minutes

Workflow

Client brief → 10-source crawl → 4-model consensus → MECE framework → 40-page .docx with citations

Output: Board-ready competitive landscape memo

V1-S4 — Founder / CEO

Investor update with live data

Workflow

Portfolio companies → market sentiment → DCF valuation (deterministic) → Pyramid Principle structure → branded .pptx

Output: Monthly investor update deck

Quant / Risk

ML model governance report

Workflow

IBKR trade history → backtest against indices → model performance audit → bias detection → compliance memo with audit trail

Output: Model governance report with Intelligence Receipt

Built on

Credit where it’s due

Founding Cohort

50 professionals. $50 starting credit.

Help shape the future of professional intelligence. Early access to Zypher, influence on the product roadmap, and a founding badge on your profile.

Join Founding Cohort