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Prediction Market Development Services

Odds That Move With Real Belief, Resolved Without Disputes.

Quecko builds prediction and opinion market platforms — AMM-based probability pricing, oracle-driven resolution, and dispute mechanisms — for forecasting markets spanning politics, sports, crypto, and beyond, engineered around the part that actually determines whether users trust the platform.

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400+clients across 20+ countries
$300M+in funds generated
250+products built
150+engineers worldwide
400+clients across 20+ countries
$300M+in funds generated
250+products built
150+engineers worldwide
400+clients across 20+ countries
$300M+in funds generated
250+products built
150+engineers worldwide
400+clients across 20+ countries
$300M+in funds generated
250+products built
150+engineers worldwide
What We Build

What Quecko Delivers for Prediction & Opinion Market Development

01

AMM-Based Odds Pricing

LMSR or constant-function market maker pricing models that update probability in real time as positions are taken, tuned specifically to the liquidity and volatility patterns typical of event-based markets.

02

Oracle-Based Resolution

Integration with decentralized or optimistic oracle networks for objective, verifiable outcome resolution on markets with a clear, checkable real-world answer.

03

Dispute & Community Resolution

Escalation and dispute mechanisms for genuinely ambiguous outcomes, including community-vote or arbitration-based fallback resolution designed to be resistant to manipulation by any single large stakeholder.

04

Market Creation Tooling

Permissioned or permissionless market creation workflows with category curation and quality control, preventing low-quality or manipulable markets from undermining platform trust.

05

Position & Portfolio Tracking

User dashboards showing open positions, historical performance, and settlement outcomes, giving users clear visibility into how and why a market resolved the way it did.

06

Multi-Category Market Support

Infrastructure supporting politics, sports, crypto prices, and custom event categories simultaneously without requiring separate platform instances per category.

The Challenge

Why Trust Collapses at Resolution, Not at Trading

Prediction markets have moved from a niche academic curiosity into mainstream financial attention, with major platforms now processing meaningful volume around elections, sports outcomes, and macroeconomic events — treated by increasing numbers of users as a genuinely more reliable forecasting signal than traditional polling or punditry. That growing trust is fragile, though, and it rests entirely on whether users believe the platform will settle ambiguous or contested outcomes fairly, which is a harder engineering and governance problem than the trading mechanics themselves. A prediction market lives or dies on its resolution process — if users don't trust that outcomes will be settled fairly, promptly, and consistently, no amount of clever AMM pricing design matters, because nobody wants to hold a position they're not confident will settle correctly. Building a genuinely credible resolution mechanism — oracle-based, community-dispute-based, or some hybrid of the two — is significantly harder engineering and governance work than the trading mechanics themselves, and it's exactly the part most teams under-invest in relative to how much it determines the platform's long-term credibility.

The Old Way
Design the AMM pricing curve carefully, treat resolution as a simple admin function
Rely on a single centralized party to determine outcomes with no dispute process
Launch without a plan for genuinely ambiguous or contested real-world events
Support only one market category without infrastructure flexible enough to expand
The Quecko Way
Design the resolution and dispute mechanism first, since it determines whether the market is trusted at all
Integrate decentralized or optimistic oracle networks for objective, verifiable settlement
Build an explicit escalation path for ambiguous outcomes, whether community-vote or arbitration-based
Architect the platform to support new market categories without requiring a rebuild
Execution Blueprint

Execution Timeline

01Day 1–22

Market Mechanism Design

Define the AMM pricing model (LMSR or an equivalent), target market categories, and — critically — the resolution mechanism approach before any trading infrastructure is built.

02Day 23–44

Platform Development

Build market creation, trading, and position-tracking infrastructure alongside the resolution/dispute system as parallel, equally-prioritized workstreams rather than sequencing resolution as an afterthought.

03Day 45–66

Resolution & Dispute System Build

Implement oracle integration for objective outcomes and a clear escalation path — community vote, arbitration, or hybrid — for the genuinely ambiguous cases that inevitably arise in real-world event markets.

04Day 67–88

Security Audit & Resolution Stress-Testing

Audit trading and settlement contracts, then specifically stress-test the resolution and dispute process against historical examples of ambiguous or contested real-world outcomes.

Technology

Technologies We Master

Tools, frameworks, and protocols we use to build secure and scalable solutions.

AMM Models

LMSRLMSR
Constant-function market makersConstant-function market makers

Oracles

Optimistic oracles (UMA-style)Optimistic oracles (UMA-style)
ChainlinkChainlink

Backend

Node.jsNode.js
PostgreSQLPostgreSQL
Our Edge

Why Quecko for Prediction & Opinion Market Development

First Design — We design the dispute/resolution mechanism first in every engagement, since it determines whether users trust the market at all, rather than treating it as a secondary concern behind trading UX.

Resolution

First Design — We design the dispute/resolution mechanism first in every engagement, since it determines whether users trust the market at all, rather than treating it as a secondary concern behind trading UX.

AMM Modeling Depth

Experience with LMSR and constant-function pricing models specifically tuned for prediction-market liquidity behavior, which differs meaningfully from typical DeFi AMM liquidity patterns.

Oracle Integration Expertise

Direct experience integrating optimistic and decentralized oracle networks for objective settlement across a range of event categories.

Multi

Category Flexibility — Platforms built to support diverse market categories from day one, without needing a separate rebuild each time a new vertical is added.

Our Work

Our Projects

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Social Proof

“With hard work, determination, and an amazing team at Quecko, we can overcome any obstacle and achieve anything we set our minds to.”

Tom Blears

Bitcast Protocol
Engagement

How We Collaborate

Full Platform Build (4–7 months typical)

End-to-end prediction market platform from mechanism design and resolution architecture through launch.

Resolution System Only (6–10 weeks)

Oracle and dispute-resolution infrastructure built for an existing trading platform that needs a stronger settlement layer.

Dedicated Markets Engineering Pod (Ongoing)

Embedded engineers for continuous platform development and new market category rollout.

FAQ

Frequently Asked Questions

Through a combination of oracle-based objective resolution for clear-cut events, and a community-dispute or arbitration fallback specifically designed for the genuinely ambiguous cases that inevitably arise — such as disputed election results or delayed sporting event outcomes. We design this escalation path before launch, not as a reactive fix after the first disputed market.

Typically LMSR (Logarithmic Market Scoring Rule) or a constant-function market maker, tuned to your expected market liquidity and the typical trading pattern of your target event categories — sports markets and election markets, for instance, often warrant different liquidity parameter choices given their different trading volume profiles over time.

Yes, we support both permissioned (curated, operator-approved) and permissionless market creation, depending on your platform's quality-control needs — fully permissionless creation offers more flexibility but requires stronger automated fraud and manipulation detection to maintain platform trust.

Politics, sports, crypto prices, and custom event categories are all supported within the same underlying infrastructure, since the core trading and resolution engine is designed to be category-agnostic with category-specific oracle integrations layered on top.

Through liquidity-aware pricing curves that make it progressively more expensive to move the price in thinly-traded markets, combined with position size limits and monitoring for wash-trading-style patterns that would otherwise let a single actor artificially manipulate a low-volume market's displayed odds.

Yes — for markets with a clear, continuously verifiable data source (live sports scores, crypto asset prices), we integrate directly with relevant oracle feeds so the market can resolve automatically and immediately once the underlying data confirms the outcome.

Blogs

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Ready to build a prediction market people actually trust when it matters most — at settlement?

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