Industry Context

AI is reshaping investing.

Until recently, the data that drives fundamental investing was too unstructured for machines to read: filings, transcripts, news, alternative signals. That barrier has fallen. Machines now read this material faster, more consistently, and at a scale no human team can match.

Scale and consistency

Our investment engine processes more signals, faster and more consistently, than any human team. No herding, no anchoring, no style drift.

Continuously improving

Models improve continuously. The edge grows over time rather than eroding with market cycles.

New data, new signals

Alternative data, news, earnings call transcripts, satellite imagery. Signals humans cannot analyse at scale, now tractable.

Our approach

Three ways to invest with Thinking Capital.

One investment engine, delivered through a segregated mandate, a pooled fund, or a technology partnership.

Mandate

A segregated mandate configured to your objectives and constraints. Your assets remain at your own custodian, in your own name, with full transparency and control. We are building for investors who want institutional discipline without commingling.

Fund

We are planning to launch pooled vehicles to facilitate distribution, in collaboration with partner organisations.

Technology partnership

We are willing to enter into a limited set of technology partnerships. Get in touch to discuss.

Configuration

The levers you control.

Whichever route, every mandate is configured around these parameters. The investment engine respects them as hard constraints.

Active risk target
Tracking error vs. benchmark
Universe selection
Base index for strategy inclusion
Holding constraints
Min/max distinct positions
Annual turnover
Trading limit to manage tax drag
Sector exclusions
Hard GICS sector constraints
Risk profile
Volatility limits, stop-loss triggers
Process

How we build a portfolio.

The investment process we are building. The same four steps apply whichever route the capital takes. Client configuration, investment engine, bespoke portfolio. A team of specialist AI agents will run this process continuously, under human supervision.

1
Universe screened

ETF and security universe filtered for liquidity, factor exposure, mandate eligibility.

2
Signals generated

Fair-value signals, investment theses, unified BUY / HOLD / SELL scores per security.

3
Portfolio constructed

Macro regime, mandate parameters and signals combined by the PM agent into the bespoke portfolio.

4
Monitored and rebalanced

Live risk and drift monitoring. Rebalancing triggers fire against configured tolerances and client policy.

Human oversight Investment committee · quarterly review · risk sign-off

Building for family offices, institutions and principals who hold capital for the long term. Get in touch.