Gather · Compose · Render
Gather
Deterministic where the shape is known (fast, exact), agentic where it's open-ended. Always live data — never invented.
Compose
An AI pass turns the gathered data into typed UI blocks — metrics, tables, charts, the read-through.
Render & own
Deterministic React renders it. Pin views, chain workflows, export to branded Excel & PDF — the loop is yours.
One Studio, four ways to build
The same gather→compose→render engine, surfaced as everything from a one-off view to a saved, repeatable workflow.
Views
Describe a view — a cross-asset dislocation read, a reverse-DCF, a comp-set re-rating — and get a live, interactive GUI in seconds.
Workflows
Chain steps into an end-to-end research process. The agent drafts the reasoning chain; you edit, run, and save it.
Dashboards
Compose boards of live tiles that re-run on open — your morning briefing, sector command, idea bench.
Skills
Reusable research playbooks the analyst runs on cue — deep dives, regime checks, earnings post-mortems.
The loop is the IP, not the model
Most AI tools forget every session. beyalan compounds — every run you keep makes the next one sharper, for you and your team.
A learning loop
Every run is captured; your up/down ratings promote the best into institutional memory that's RAG-injected into future runs. Private evals and a model-swap test keep quality honest as models change.
Team workspaces
Invite your desk by email to share institutional memory and approved upgrades. What one analyst validates, the whole team inherits — per-user work stays private by default.
Agent-ready over MCP
Point Claude Desktop, Cursor, or n8n at one endpoint and run the same gather→compose loop the in-app Studio uses — not just raw data, the owned loop.
For developersA proprietary 10-year daily valuation database, a deep tool suite across markets, fundamentals, macro and quant, and exports to beautifully branded Excel & PDF. The same surface powers the in-app analyst and any external agent over MCP — the loop is yours.
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