We build AI that
governs itself.
Responsible AI is not a feature we add later. It is the architecture we start with. Every model call audited. Every source cited. Every output approved by the professional whose name is on the cover page.
What we build
Product
Zypher
Professional intelligence companion. Source-cited, confidence-scored deliverables from a companion that remembers your professional world. Your name on the cover page.
Open Source
Experiment 002Elektra Skills
Open-source RAI governance framework for AI agents. Godspeed execution engine, responsible-ai gates, project management — built on Claude Code.
How it works
From research to board memo
in minutes, not weeks.
Every step audited. Every source cited. Every number computed deterministically.
Pull live data from 10+ sources
SEC filings, Bloomberg feeds, news wires, social sentiment — each source tagged with a trust tier (T1-T5). No stale training data.
4-model council cross-validates claims
Gemini, Claude, GPT, and Grok independently assess. Disagreements are surfaced, not hidden. Consensus builds confidence.
Deterministic math — never hallucinated
CAGR, DCF, WACC, Monte Carlo, NPS — computed by Python, not generated by LLMs. Financial figures are never approximate.
Section-by-section, framework-enforced
MECE structure, Pyramid Principle, per-section confidence scores. Each claim linked to its source. Professional .docx, .pptx, or .pdf.
You approve. Not the AI.
Human acceptance gate before anything ships. Amber confidence flags surfaced. Intelligence Receipt verifiable at a public URL.
Your name on the cover page
Web, email, WhatsApp, Google Drive, OneDrive — choose your channel. The professional gets the credit. Zypher stays invisible.
Use cases
Built for professionals who ship.
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
Investor update with live data
Workflow
Portfolio companies → market sentiment → DCF valuation (deterministic) → Pyramid Principle structure → branded .pptx
Output: Monthly investor update deck
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
Our commitment
Responsible AI is our architecture,
not our marketing.
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.
Built on
Credit where it’s due
garrytan
skills.shgstack
Governor Stack — structured AI agent workflow governance
obra
skills.shsuperpowers
AI agent composition, planning, and code review skills
affaan-m
GitHubeverything-claude-code
100+ Claude Code skills, agents, hooks, and patterns
karpathy
GitHubautoresearch
Autonomous iteration loop — the original inspiration
Anthropic
Nativedocument-skills
Official PDF, DOCX, PPTX, XLSX generation skills
skills.sh
Ecosystemskills.sh
Open agent skills ecosystem — discovery + distribution
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