Unlock next dimension of data
to power up your risk management and research
Risk moves through relationships and interactions.
We quantify and index them, helping you and your agents build better models.
Our agent beats frontier models - including Fable, GPT 5.6 Sol*
*Cross-model consensus evaluation vs. Deep Research by Claude Fable, GPT 5.6 Sol, Gemini 3.1 Pro, Perplexity.
What was abstract and intuitive,
became quantified, tracked, and queryable.
Alignment and Interactions tracking
Track relationships, see how they evolve through interactions and time.
Between any two entities, we record every action, statement, transaction, and event — typed and scored. You can answer questions no terminal can touch.
What events affected [Modi] and [Adani] alignment in 2026
Pathfinding and Relationship Browser
Trace any chain. Uncover risk and exposure vectors.
See how exposure travels through suppliers, investors, governments, executives, intermediaries, and events. Via direct query or a browsing experience on our UI.
StreetQuery
Query by abstract structure.
Go from abstract schema to real-world entity sets matching it.
“Find public companies whose executives or their immediate family have financial ties to the regulator overseeing their industry.”
“Find CEOs of public companies that had a large drop in alignment with the owners / board within last 2 weeks.”
These questions would take a team of researchers a week, and now its just a query.
Asking complex open-ended questions is not penalized by a huge cost anymore.
Navigate your research with Ergen Agent.
DeepQuery
Get answers to your most complex questions.
Harness engineered for financial research and risk analysis, backed by native access to Ergen's DBs.
This is a real transcript from a real agent run.
What-If Impact Propagation
Model how the impacts would propagate through the world.
Explore how remote theoretical events could indirectly affect your portfolio, and be ready for it.
All features
Entity Tracking
“Show every action taken against X in the last 12 months, who took it, and how X’s counterparties responded.”
Anomaly Detection
“Surface every entity with a 2-sigma spike in negative-interaction volume this week versus its trailing baseline.”
Interactions
“List every pair of entities that shifted from partnered to adversarial in the last year, and the event that flipped them.”
Alignment
“Show every entity whose alignment with X reversed in the last 12 months, and what drove the change.”
Pathfinding
“Show how X and Y are connected, up to six hops away, through suppliers, shared investors, and litigation.”
DeepQuery
“Investigate X end-to-end - chase every lead across entities, events, and relationships, and return a sourced brief.”
StreetQuery
“Find every public company whose executives have non-obvious family or financial ties to the regulator overseeing their industry.”
What-If Impact
“If X fails tomorrow, which of my holdings are exposed, through what chain, and how many hops away?”
Routines
“Run my watchlist every morning and surface only what materially moved overnight, with the events behind each shift.”
Notifications
“Notify if any of [X, Y, Z]’s clients gets sued via email/slack”
MCP Server
MCP Server Available
Our MCP server exposes every Ergen capability as a callable tool — entity lookup, relationship traversal, pathfinding, StreetQuery, event feeds. Any agent that speaks MCP can use it directly. No custom integration required.
Works with Claude, GPT, Gemini, Kimi, and any other LLM with tool-use support.
// .mcp.json — drop this in your project root { "mcpServers": { "ergen": { "type": "http", "url": "https://app.ergen.ai/mcp" } } }
For developers
API Access Available
Every object in Ergen is accessible via authenticated REST. Build portfolio monitoring tools, integrate intelligence into your workflow, or feed structured news data into your own models. MCP server in beta — use it from any AI agent.
// GET /v1/pathfind · 3 paths · 0.6s [ { "chain": ["R. Mehra", "P. Sharma", "A. Sharma (Min. Finance)"], "rel_types": ["family", "professional"], "confidence": 0.94 }, { "chain": ["D. Vo", "Aisha Rahman", "I. Chowdhury (Jt. Sec.)"], "rel_types": ["family"], "confidence": 0.88 } ]
Built for
Three disciplines.
One infrastructure.
Trusted by traders, analysts, and risk teams across buy-side and sell-side. The same structured data that powers our UI is available via API and MCP.
Hedge Funds & Trading Desks
Financial Intelligence
Buy-side · Prop · Multi-strat
Track sentiment shifts around public companies before they surface in filings. Trace indirect exposure through ownership and relationship chains. Detect competitive moves the moment they appear in the news.
Geopolitical Analysts
Geopolitical Analysis
Government · Think Tank · Risk
Map state actors and trace how influence propagates across borders through business, family, and institutional ties. Detect structural patterns across regions — before they become headlines.
Risk & Compliance
Due Diligence
Banks · Brokerages · Legal
Build complete entity histories automatically. Surface connections to sanctioned parties through shell companies and intermediaries — the kind of exposure that doesn't show up in a name check.
Your real exposure isn’t the position. It’s the web of relationships, interactions, and events around it.
Start using Ergen.
Currently in alpha. Reviewing access requests from investment firms, analysts, risk/compliance teams, and research firms.