Prediction markets price the Fed before economists. On-chain flows reveal institutional intent before earnings. Tokenized credit settles overnight. Most wealth platforms weren't built for any of it. Turyn is the decision layer that reads this signal landscape and turns it into proposals your book can act on.
CPI<3 diverging across venues — Polymarket 54¢ vs Kalshi 60¢. Six cents of arbitrage on the same outcome.
Turyn reads across asset classes that don't share a research feed today. Each category produces actionable patterns. Examples below are real.
The same outcome priced differently across Kalshi and Polymarket. Recent example: CPI<3 at 54¢ on one venue, 60¢ on the other. Six cents of edge on identical contracts.
On-chain treasuries (OUSG, BUIDL) frequently yield 20–60bps above equivalent T-bills. Settlement is daily. Most advisors don't have these on their menu yet.
Wallet addresses holding >1,000 BTC are public. Spot ETF flows are public. Together they show institutional intent in real time — not in a 13F filed 45 days late.
Kalshi FED CUT traded at 68¢ while economist consensus showed 45%. A 23-point gap was actionable signal, not noise. The 23-point delta — months ahead of confirmation — is the kind of pattern Turyn surfaces.
Apollo ACRED offers daily NAV access to a tokenized feeder fund of Apollo's diversified credit strategy. Institutional private credit without a seven-year lockup. Yields tracked continuously, underlying targeting 8–11%.
2s10s spread shifts ahead of policy moves. Recent example: +37bps steepening lined up with the Kalshi cut signal weeks before economists confirmed it.
The next 24 months are when wealth management's next decade gets decided. Three specific forces land in the same window.
Kalshi prices shift in seconds. Tokenized treasuries re-price every block. Digital assets don't sleep. Prediction markets settle in minutes. Advisors running their books on platforms designed for quarterly rebalancing can't touch these categories as a fiduciary — and their clients are already asking.
A portfolio management system that wants to handle digital assets, tokenized RWAs, and prediction markets as a fiduciary has to be agentic, real-time, and multi-asset from day one. Bolting any of that onto a quarterly-rebalancing platform doesn't work — the data model, the risk engine, and the compliance layer all assume the wrong asset shape.
The clients inheriting this wealth bring different expectations. They watch their money in real time on the apps they already use. A quarterly PDF reads to them as a signal the advisor is behind. The advisor who can deliver the right decisions and a modern experience keeps these clients through the transfer. The advisor who can't loses them when the parents die.
Signals, allocations, and risk checks run continuously, not on quarterly cycles. The advisor sees opportunities as they form — not after they've closed.
Agents propose. Advisors decide. Every recommendation comes with a reasoning trace and compliance pre-clearance. Human judgment stays in the loop where fiduciary duty requires it.
Traditional equities, digital assets, tokenized real-world assets, and prediction-market positions on one continuous canvas — advisor-facing and client-facing, in one architecture.
Turyn wins deals on portfolio intelligence in asset categories no one else supports. Once you're running your book on it, the operational layer — compliance, client comms, meeting notes, research — comes free. Same architecture, same agents, same surface.
Today's wealth platforms were built for assets that trade during business hours and settle on quarterly cycles. Digital assets trade all night. Tokenized treasuries reprice every block. Kalshi settles in minutes. A platform that wants to hold those positions next to the traditional book needs a different data layer underneath — one where real-time is the default, not the exception. That's what Turyn is.
Prediction markets aren't just a new asset class on the book. They're a proprietary signal source. When Kalshi prices a Fed cut at 68% against a 45% consensus, that 23-point gap is actionable intelligence — and it isn't sitting in any research feed the firm already pays for.
A swarm of purpose-built agents watching the book 24/7. Signal detection, drift monitoring, tax-loss harvesting, rebalancing, compliance review, and live research synthesis across every asset class. Every proposal comes with a full reasoning trace — sources cited, models named, confidence scored. Advisors decide. Agents do the work between decisions.
Most RIAs hit an operational ceiling around 40 households per advisor. Each new client adds meetings, compliance touches, reporting, research. Turyn takes the per-household overhead off the advisor's desk — compliance pre-clearance, portfolio-triggered outreach, meeting intelligence, cross-asset research — so the advisor can carry more households without the service quality dropping. Everything goes through the advisor for review before it reaches the client.
Wealth-tech today was designed for a world of traditional assets, quarterly rebalancing, and annual client reviews. The next generation of wealth doesn't operate that way. Turyn is the system designed for the way the next generation actually invests.
Document ingestion, meeting notes, CRM updates, form auto-fill, report generation. Valuable work — but all of it happens downstream of portfolio decisions already made.
Legacy platforms bundling CRM, portfolio management, billing, and reporting. Designed for quarterly rebalancing across traditional equities and bonds, with AI added as a feature bolt-on.
A single platform that manages the advisor's book across traditional equities, digital assets, tokenized RWAs, and prediction markets in real time. Agents draft proposals, compliance pre-clears every output, and the advisor approves every decision that reaches the client. The automation of meetings, research, and communications comes with it.
Six data points. Tier-1 capital landing in every adjacent layer. None of these rounds existed at this scale eighteen months ago.
Every adjacent category has closed serious rounds with tier-1 capital. The one that correlates all of them at the advisory layer hasn't been built yet.
Big custodians will eventually integrate agentic execution natively. That's not a threat — that's where we land. Turyn is the decision and reasoning layer that sits on top of whatever execution surface each custodian exposes. Today we generate ready-to-paste execution packets. Tomorrow we push approved rebalances via API. Always within advisor-authorized scope, always fully audit-logged.
Today's correlation and orchestration layer is the asset. Phase 2 is a quantitative model that scores cross-asset signals against historical regimes and weights agent proposals by attribution rather than observation. That's what turns a decision layer into an alpha engine.
We're recruiting a senior quant lead with deep institutional experience to architect and validate the model through extensive backtest modeling — across the asset categories we route. In design now, deploying to design partners through 2026.
Three numbers we're targeting with design partners. Not promises — targets. Different firms will see different figures.
Managing other people's money under a fiduciary standard requires a different kind of infrastructure than the AI products most firms have evaluated. Four specifics worth knowing before any serious conversation.
The biggest shift in infrastructure right now is the convergence of AI and blockchain — cognition paired with verifiable trust. In the long run, most financial execution moves to agent swarms running on trust-minimized infrastructure. What stays with humans is strategy, relationships, and taste. We're building for the wealth management version of that future. The wedge is portfolio management today. The longer arc is the infrastructure behind it.
Kai and Javan have been deploying agents against real operational workflows inside mid-market companies, and both work in digital asset markets directly.
Strategy, sales, and partnerships. Co-founder of REGEN8 AI, an AI transformation practice deploying agents against real operational workflows for mid-market firms. Active in digital asset markets since 2020. Drives thesis, design, and capital strategy.
Engineering, architecture, and client delivery. Co-founder of REGEN8 AI, where he architected the agent orchestration and context-layer systems that run the practice. Technical lead on infrastructure and the path to decentralized inference.
The questions RIA principals ask first when they see the workspace.
Jump and Zocks live in the meeting layer — recordings, summaries, follow-up tasks. They make existing workflows faster.
Turyn lives in the decision layer. We watch your book in real time across asset classes most platforms don't support, surface signals before economists confirm them, and draft compliant proposals routed to the relevant households.
The two coexist. Jump captures what was said in the meeting. Turyn surfaces what should be discussed in the next one.
Equities and indices via standard market-data feeds. Digital assets via on-chain APIs and exchange feeds (CoinGecko, native L1/L2 nodes for the addresses we monitor). Tokenized RWAs directly from the issuer (Ondo, BlackRock, Apollo, Securitize). Prediction markets via Kalshi and Polymarket APIs. Macro/rates from US Treasury and FRED.
Refresh ranges from 15 seconds for crypto and prediction markets to 60 seconds for equities. RWA NAVs reprice on issuer cycles (typically daily). Custody data syncs from your existing custodian connections.
What's proprietary today is the correlation and orchestration layer that connects signals across asset classes nobody else connects — and the agent swarm that drafts proposals against those signals with full reasoning traces. Feeds are commodities. The architecture is the asset.
Phase 2 is a quantitative signal-attribution model. We're recruiting a senior quant lead with deep institutional experience to architect and validate it through extensive backtest modeling. The model will score cross-asset signals against historical regimes and weight agent proposals by attribution rather than observation. That's what turns a decision layer into an alpha engine. In design now, deploying to design partners through 2026.
Schwab, Fidelity, and Pershing for traditional. Coinbase Custody and BitGo for digital. Native on-chain reads for tokenized RWAs and stablecoins. Wealthbox and Redtail for CRM. Addepar and Black Diamond for performance reporting and rollups.
We sit on top of your existing custodian and reporting stack — not in place of it. Read access to the book, write access for proposals after advisor approval. No changes to underlying custody or accounting.
Turyn is a fiduciary-compatible decision layer. Agents surface signals and draft proposals. Advisors approve or decline. Trades execute through your existing custody stack with your existing approval workflow.
The AI does not make investment recommendations to clients directly, does not execute trades autonomously, and does not communicate with clients without advisor review. Every proposal carries a full reasoning trace and source attribution.
The Phase 2 quantitative model weights and ranks signals — it does not act on them. Advisors remain the decision-maker on every proposal. IPS constraints are enforced at proposal generation. Compliance pre-clearance happens before the advisor sees the draft, not after.
Client data lives in infrastructure you own and control. We deploy into your environment (AWS, GCP, Azure) under your account, your keys, your audit logs. We don't pool data across firms.
The roadmap includes confidential-compute deployments where the inference layer can't read the inputs in cleartext. That's Phase 2 — post first-round capital, currently in design.
Pricing is per-firm, monthly, scaled by AUM tier. Specifics on the call rather than the website — the right structure depends on your book composition and which categories you enable.
First production deployments target Q3 2026, limited to a small group of design partners. No general availability date — we're building the first cohort first.
We're running closed pilots with a small number of independent RIAs through 2026. If you're running a firm that wants to be on the decision layer rather than under it — or you know a principal who should see this — get in touch.