The Analyst Problem
Equity analysts consume massive volumes of information.
- • Earnings calls and transcripts
- • Regulatory filings and disclosures
- • Research notes and internal models
- • Years of accumulated context
The problem is not intelligence.
Human memory and attention do not scale with information volume. Critical connections are missed not because analysts lack skill, but because knowledge is fragmented across time and documents.
Why This Matters
When insight velocity slows, opportunity cost compounds.
Missed Insights
Weak signal correlation across documents delays conviction.
Cognitive Waste
Re-reading and manual search drain analytical energy.
Alpha Erosion
Inefficient workflows directly impact performance.
What JENIE AI Does Differently
JENIE is not a chat assistant. It is a persistent research intelligence layer that maintains long-term context across documents, time, and intent.
Persistent Context
JENIE remembers what you’ve read, what matters, and why it matters — across earnings, filings, and research history.
Automatic Synthesis
Related information is connected automatically. No prompts. No resets. No lost context.
Built for Real Analyst Workflows
Not chat-first. Not notebook-first. Workflow-native.
Bespoke Modes: Synthetic Experts
Bespoke modes capture an analyst’s framework, thinking, and domain expertise — and make it persistent, queryable, and continuously updated.
Stock & Theme Specific
Each mode is grounded in a defined investment lens.
Always On
Operates 24/7 with full historical context.
Compounding Intelligence
Gets more valuable as research accumulates.
The Future of Equity Research
Research will no longer be constrained by analyst time. Knowledge will live inside systems — persistent, reusable, and scalable.
JENIE is the platform where that intelligence lives.
Get Early AccessTime Comparison
JENIE AI reduces model development time by up to 85%, allowing analysts to focus on higher-value analysis.