Prediction markets,
institutional-grade.
Unified data, execution tooling, and prediction market intelligence across
Kalshi,
Polymarket, and soon more venues.
Gliss helps hedge funds, family offices, research firms, and enterprises turn event markets into a tradable, observable, auditable workflow - without stitching together fragile pipelines.
Built for professional teams:
Why prediction markets now
Prediction markets convert real-world uncertainty into continuous prices and probabilities - and the category is scaling quickly as regulated and crypto-native venues expand access and product scope.
Polymarket volume in 2024
Markets outperformed polls
Kalshi CFTC designation
For institutions and research firms alike, the edge is simple: better inputs, faster feedback loops, and cleaner signals. Prediction markets offer a uniquely responsive data source - one that polling firms increasingly use to benchmark forecasts and enhance the accuracy of traditional methodologies.
What Gliss delivers
One platform. Three ways to engage.
Query Playground
Instant observability over historical markets.
Explore and analyze normalized history from Kalshi and Polymarket - built for research workflows, forecast validation, and professional analysis.
- Cross-market search and filtering
- Clean, comparable schema
- Benchmark and validate forecasting models
- More venues coming soon
Professional Trading + Data API
Production-grade access for trading and monitoring.
A single integration point for market data and execution workflows across venues - designed for reliability, speed, and operational clarity.
- Unified endpoints across markets
- Streaming + historical data access
- Built for systematic strategies
- Enterprise onboarding and support
Markets + Wallet Intelligence
See the full landscape - then track the flows.
Monitor what's listed, what's moving, and how capital is positioning across Kalshi and Polymarket.
- Cross-venue market discovery
- Wallet tracking and watchlists
- Signals for risk and sentiment
- More venues coming soon
Who we serve
Hedge funds & prop firms
Backtesting, signal research, execution tooling, market monitoring.
Family offices
Simple visibility into a new asset class + operational support.
Enterprises
Internal forecasting, decision support, and scenario planning.
Market research & polling firms
Benchmark your forecasts against real-time market consensus. Validate surveys, enhance models, and deliver sharper insights to clients.
Prediction-market businesses
Data infrastructure, observability, and APIs that scale.
What makes Gliss different
Institutional posture, end-to-end
We focus on the unglamorous requirements that matter: observability, consistency, and operational control.
Cross-venue normalization
Stop building one-off adapters. One schema, one workflow.
Designed for trust
Enterprise support, clear documentation, and a product experience aligned with professional financial teams.
Built by specialists
We live in prediction markets - market structure, data quirks, and how institutions actually operationalize new venues.
Engagement models
Use the products
Platform + API access for research, trading, and monitoring.
Commission custom work
Data pipelines, strategy tooling, monitoring solutions.
Consulting for institutions
Evaluation, integration, and operating model for event markets.
Frequently asked questions
Is this only for crypto-native shops?
No - Gliss is built for financial teams that want institutional workflows, regardless of venue rails.
Do you support more venues?
Yes. We're expanding coverage beyond Kalshi and Polymarket.
Can polling or market research firms use Gliss?
Yes - many research firms use prediction market data to benchmark forecasts, validate survey results, and track sentiment in real time. Our normalized data makes it easy to integrate into existing research workflows.
How do we start?
Book a demo - we'll map your use case (research, execution, monitoring) and get you live quickly.
Bring prediction markets into your stack - confidently.
Request a demo or speak with an expert about your workflow.