PhD-level research agents powered by data graphs, tools, and our research harness to inform high stakes decisions.
Cascadian builds a living map of cause and effect across markets, geopolitics, supply chains, and policy, then answers the five questions that matter: what changed, what caused it, what it hits next, what others are missing, and what to do about it.
Cascadian builds a living map of cause and effect across markets, geopolitics, supply chains, and policy, then answers the five questions that matter: what changed, what caused it, what it hits next, what others are missing, and what to do about it.
Cascadian builds a living map of cause and effect across markets, geopolitics, supply chains, and policy, then answers the five questions that matter: what changed, what caused it, what it hits next, what others are missing, and what to do about it.
We pull markets, macro, news, filings, and policy into one normalized stream.
Signals resolve into entities, events, and relationships, versioned over time.
Agents call quant models and qualitative reasoning over the graph.
We forecast where the odds head and what reprices, by how much and when.
Ranked, scored decisions become memos, signals, and a compounding ledger.
| Capability → | Market data | Research and analysis | Agent-native | Forecast and decision intelligence |
|---|---|---|---|---|
Research Tools AlphaSense · Hebbia · Rogo · Brightwave |
||||
Terminals Bloomberg · LSEG · FactSet · S&P Capital IQ |
||||
Research Firms Gartner · S&P Global · Goldman Sachs · Kearney |
||||
Cascadian Analysis engine |
The whole market. Terminals, research, expert networks, alt data & analyst labor, plus agent forecast-intelligence, roughly half the $180–250B AI-API economy as agents run 24/7 and outnumber human analysts.
What we can serve. The $15B of intelligence subscriptions our ICPs pay today, plus the forecast API their agents will call as Claude & ChatGPT become the default interface.
What we’ll capture. ~1,500 accounts, macro HFs ($500M+), family offices, F500 treasuries & SWFs, × ~$200K ACV → $300M ARR by 2031; agent · API overtakes seats in 2029.
The entire market size of terminals, research analysts, and expert networks.
The market size of external research analysis firms.
The market size of capital allocation research analyst firms.
Proactive daily brief & real-time alerts across high demand categories
Cascadian inside Claude or ChatGPT, sourced, probability-weighted answers
Bespoke monitoring + dedicated agents with SLAs & support
Build on the forecasting layer, forecast + simulate endpoints, the 27-tool MCP
Daily brief, real-time alerts, full report library · 3 watchlists
An agentic analyst in Claude or your stack · 10 watchlists · 3-seat minimum
A named agent on your data · 25 watchlists · from $50k deployment
Attended monitoring, forward-deployed agents, SLAs · unlimited watchlists
A mid-level analyst costs $220k/yr fully loaded.·API & MCP access included from Analyst Seat up.
Raising to land 10+ enterprise customers and ship the beta.
The same engine that prices a forecast, pointed at us: here's the round, the plan, and the people running it.