Prediction Market Integration Services
We help teams launch prediction market products that fit the real product and operating model: branded venues, embedded market layers, cross-source discovery products, and managed infrastructure around them. The goal is not only to expose markets, but to deliver a prediction experience your team can actually run after launch.
Who This Is For
What We Build
Branded Prediction Experiences
We build prediction market products that feel native to your app, media property, or standalone venue instead of dropping users into a disconnected third-party flow.
Market Discovery & Curation
Structure category pages, featured-event modules, watchlists, and market organization so users can find relevant markets quickly and operators can shape the experience intentionally.
Operator Tooling
Give internal teams the controls they need for featured markets, moderation, permissions, configuration, reporting, and launch workflows once the product is live.
Venue Integration & Aggregation
Support direct venue-oriented builds or cross-source prediction workflows where discovery, comparison, and normalized market data matter more than a single market source.
User Flow & Trading-State Design
Map onboarding, wallet or account handoffs, market detail pages, state transitions, and support-sensitive product states around your actual operating model.
Reporting & Performance Visibility
Add operator-level dashboards and product visibility so teams can understand market activity, configuration changes, and usage patterns without relying on ad hoc manual checks.
Managed Infrastructure Support
Set up the deployment, environment structure, monitoring, and production-readiness layer that keeps a prediction product supportable after launch.
Product-Led Launch Scoping
Scope the implementation around the actual product shape: standalone venue, embedded market layer, vertical experience, or aggregation-focused discovery product.
Workflow-Aware Expansion Paths
Plan for add-ons such as automation, curation workflows, analytics, and deeper trading infrastructure once the first live market experience is stable.
Core Platform Features
Branded prediction-market frontends and embedded experiences
Market discovery, curation, and category structure
Operator dashboards for launches, permissions, and moderation
Venue integration and aggregation-oriented market workflows
User-state, account, and market-flow coordination
Reporting, visibility, and internal review tooling
Managed deployment and production-readiness support
Launch scoping shaped around the actual product model
Expansion paths into analytics, automation, and deeper trading systems
Technical Architecture
Branded Frontend Layer
- Venue homepages, market hubs, and category navigation
- Market detail pages, featured-event modules, and watchlists
- Embedded market components inside an existing app or media surface
- Brand, domain, and conversion-flow alignment around the market experience
- Product states that stay coherent across discovery, action, and follow-up flows
Market & Integration Layer
- Venue-oriented or cross-source market ingestion workflows
- Market matching, categorization, and normalized data handling
- Discovery and aggregation logic for comparison-oriented products
- Backend services that keep market state consistent across the UI and operator systems
- Integration boundaries shaped around the product model rather than a generic feed drop-in
Account & Experience Flows
- User onboarding and state handling that matches the surrounding app
- Wallet, account, or session handoffs where required by the experience
- Support-sensitive flows for gated access, navigation, or product guidance
- Clear paths from market discovery into the intended user action
- Operationally realistic flows for teams embedding markets into a broader product
Operator & Market Controls
- Featured-market selection and category-management tooling
- Permissions, internal approvals, and moderation visibility
- Configuration controls for market presentation and business rules
- Performance reporting, activity review, and support workflows
- Admin surfaces that reduce manual operational noise after launch
Infrastructure & Launch Operations
- Environment setup, deployment coordination, and production-readiness support
- Monitoring and operational visibility across the product stack
- Backend, frontend, and operator-tool rollout planning
- Handoff structure for internal teams that will own the product day to day
- Managed support patterns that keep the launch model maintainable
Compliance & Regulatory Note
Prediction-market products can involve venue-specific obligations, regional restrictions, compliance-sensitive workflows, and legal review that depend on your business model and the providers or venues involved. Gizmolab builds the software, product, and infrastructure layer around the experience, but regulated services, market-operation obligations, and legal or compliance decisions should be reviewed with the relevant providers and advisors before launch.
Build Scope
A focused first build that delivers core value.
- 1One defined product shape: standalone venue, embedded module, or aggregation-focused experience
- 2Core branded frontend flows and market-surface implementation
- 3A practical market organization and curation model
- 4Baseline operator controls for featured markets, visibility, and workflow handling
- 5Managed deployment and production-readiness setup for the agreed stack
- 6A handoff structure for the internal team that will operate the product after launch
Capabilities to add once the core is live.
- Cross-source market normalization and comparison workflows
- Expanded operator permissions, approvals, and reporting systems
- More specialized curation and discovery models for vertical or audience-led products
- Automation and workflow tooling around market operations
- Deeper infrastructure support for trading-oriented or data-heavy products
- Broader ecosystem integrations tied to the surrounding trading or media stack
Why Work With Us
We structure the implementation around the product you are actually trying to launch instead of forcing every prediction-market idea into the same template.
The launch includes the internal workflows required to run the product, not only the visible frontend.
Our work in adjacent market products such as Predictions Studio keeps the integration discussion grounded in real venue, tooling, and launch concerns.
We can shape market experiences that fit inside an existing app or audience product instead of defaulting to a separate destination every time.
When the value is in discovery or comparison, we can emphasize normalized market workflows and operator control over what gets surfaced.
For teams that need routing, analytics, or supporting market infrastructure, we can connect the service to the larger trading-development stack.
Frequently Asked Questions
What do prediction market integration services include?
Can Gizmolab help with both standalone venues and embedded market features?
Do you only support white-label prediction products?
Can you support aggregation or comparison workflows across multiple market sources?
Do you provide the regulated market, brokerage, or compliance service directly?
When should a team choose integration services instead of only evaluating a product?
Planning a Prediction Market Launch or Integration?
We can help define the product shape, implementation path, operator workflow, and infrastructure scope before development expands in the wrong direction.