Totalis

Competitive Intelligence & Product Roadmap

Parlay RFQ and settlement layer for prediction markets.

Company Overview

Totalis is a derivatives layer that lets traders combine prediction-market outcomes into one parlay trade. Serving active prediction-market traders and market makers; no public customers found.

Latest Intel

Zeitgeist tracks private signals to determine where the company is heading strategically.

New Intel: Totalis is building parlay RFQ and Solana settlement on top of Kalshi, with Polymarket planned next. That moves the company toward structured prediction-market order flow, where Kalshi and Polymarket become inputs rather than only competitors.

What They're Building

The company's public product roadmap & what they're committed to building.

Custom Prediction-Market Parlays

Totalis lets users combine 2 to 5 Kalshi market outcomes into one parlay across categories such as sports, crypto, politics, weather, and economics.

Market Maker RFQ Workflow

Users submit an RFQ, market makers quote payout odds, and accepted quotes move through a short confirmation flow.

Solana Vault Settlement

The product uses persistent participant vaults and position accounts on Solana to handle collateral, payouts, and settlement.

Portfolio Margining

Totalis documents an integer linear programming solver that calculates incremental worst-case exposure for market-maker collateral.

Multi-Venue Expansion

Docs state Kalshi is the starting venue, with Polymarket and other prediction markets planned next.

Founder and Key Execs

Eric Liu

Founder (University of Waterloo Math/BBA, ex-Coinbase)

Pravesh Mansharamani

Founder (Waterloo math, previously EigenLabs, SquidRouter, Nethermind, EasyLabs, and Rivvi)

Tolga Gokturk Cohce

Founding Engineer (public GitHub profile identifies him as Founding Engineer at totalis.trade)

Founder Force Multiplier

Waterloo math backgrounds plus crypto infrastructure experience fit the core problem: pricing correlated event risk while settling collateral on-chain. Pravesh’s work across EigenLabs, SquidRouter, and Nethermind gives the team direct exposure to DeFi infrastructure and Ethereum systems.

Funding History

2026 | YC Spring 2026
2026 | $500K seed financing with Y Combinator participation, reportedly paid in USDC on Solana

Competitors

Kalshi:

Kalshi is the first venue Totalis builds on top of and could compete if it expands native parlay or RFQ tooling.

Polymarket:

Polymarket is an adjacent prediction-market venue with parlay-tagged markets and a natural integration target for Totalis.

Limitless:

Limitless is an adjacent prediction-market app in the post-Kalshi and post-Polymarket ecosystem, with a broader application surface than Totalis.

Totalis

's Moat:

Technical infrastructure is the candidate moat: RFQ liquidity, vault settlement, and portfolio margining could become hard to replace if market makers route flow through it.

How They're Leveraging AI

Portfolio Margining for Market-Maker Collateral

Totalis uses optimization to calculate incremental worst-case exposure for market makers, so correlated or offsetting parlay positions do not require full naive collateral. The user is the liquidity provider, not the end trader.

AI Use Overview:

No clear AI/ML differentiation.

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