Capital efficiency
Use transparent risk analytics to identify inefficient collateral usage and, where permitted, support partner-delivered collateral optimization.
What this unlocks — Potential collateral efficiency.
Platform evolution
Prediction markets are becoming an institutional information layer, but contracts, data, risk and workflows remain fragmented. Predict Here is being built sequentially: first make each event and number understandable and auditable; then build increasingly valuable institutional workflows on that foundation.
If two contracts do not mean the same thing, every layer built above them — composite probabilities, portfolio offsets, risk, collateral optimization and execution — can be wrong. That is why Predict Here starts with semantics.
Use transparent risk analytics to identify inefficient collateral usage and, where permitted, support partner-delivered collateral optimization.
What this unlocks — Potential collateral efficiency.
Connect verified semantics, market liquidity and risk to RFQ, blocks and cross-venue execution where permissions, licensing and regulation allow.
What this unlocks — Workflow from intelligence to action.
A neutral coordination layer connecting institutions, venues, liquidity providers, brokers, data providers and capital providers.
What this unlocks — Event-market financial infrastructure.
Repricings. Divergences where coverage permits. Liquidity changes. Distributions. Watchlists. Alerts.
What this unlocks — Professional monitoring.
Deliver the event graph, semantics and analytics into institutional research and systematic workflows.
What this unlocks — Machine-readable integration.
Map positions into the canonical event graph for event-state P&L, concentration, deterministic offsets and liquidity stress. The organization risk workspace remains private beta and requires an eligible plan. The public terminal offers a separate bounded demonstration using synthetic fixed-USD long positions and manual scenarios.
What this unlocks — Institutional event-risk management.
Define the real-world event. Normalize venue contracts. Verify which contracts actually mean the same thing.
What this unlocks — Reliable comparison.
Normalize quotes, order books, freshness, quality and provenance around canonical events. Sampled quote observations and minute bars accrue from eligible collector runs; provider historical backfill and bulk point-in-time exports remain planned.
What this unlocks — A trusted event-data layer.
Built sequentially, not all at once. Current availability is identified above. Future capabilities are directional and may depend on customer validation, market-data rights, venue permissions, regulatory requirements and qualified third-party partners. Predict Here does not currently provide custody, credit or trade execution through its institutional intelligence platform.
WORKING SAMPLE · SYNTHETIC DATA
Open Monitor, screen the universe, inspect contract terms, compare eligible outcomes and retain a research brief. Watchlists, saved views and adjustable workspaces keep the same event in context.
No account required for the sample. Its fictional records, local alerts and research stay separate from organization data. Portfolio scenarios are a bounded private beta; organization access still requires sign-in, plan and source permissions.
Explore the connected research terminal with synthetic records. Organization Monitor, alerts and authenticated data routes remain subject to plan, source and rollout permissions. The organization portfolio/risk workspace is private beta; historical bulk exports and the higher infrastructure layers remain planned or directional.