Our Thesis

Intelligence is the next thing crypto decentralizes.

We built Metagraph around a single conviction, and a disciplined way to act on it.

The third great wave

Crypto's history is a sequence of decentralizations. Bitcoin decentralized money, proving a global network of strangers could secure something valuable with no central authority. Ethereum decentralized computation: programmable money and applications. We believe the third wave is the most consequential of all: Bittensor is decentralizing intelligence itself.

Artificial intelligence is the defining technology of the coming decade, and today it is overwhelmingly controlled by a handful of large companies. Bittensor offers a credible alternative: an open, incentive-driven market where anyone can contribute machine intelligence and be paid for its quality. We think that is a multi-decade trend, and that owning the network early will compound for years.

In one sentence

Bittensor takes crypto's most proven idea, paying a decentralized network to do something valuable, and points it at the largest market of the next decade. Metagraph exists to give serious investors a disciplined way to own that.

Strategy

How we build our portfolio.

Two complementary sleeves: one for durable base exposure, one for venture-style upside.

01

Core TAO allocation

We acquire and stake TAO as the fund's strategic reserve. With Bitcoin-style tokenomics (fixed supply, halving emissions), TAO is our durable, liquid base exposure to the entire network's growth, earning staking yield while we hold.

02

High-conviction subnet positions

We take venture-style positions in a focused set of subnets: the alpha-token investments with the largest potential return. This is where deep, hands-on diligence separates signal from noise, and where we spend most of our research.

Diligence

What earns our conviction.

Most subnet tokens are created through emissions. We pay closest attention to the rarer case: subnets earning real revenue and routing it back into their own token, turning product usage into token demand. Every subnet we back has to clear the same bar: real businesses, not narratives.

01 · Tokenomics

Token utility & buybacks

We favor subnets where the token does real work and where the team uses product revenue to buy back its alpha token, linking token value directly to usage rather than emissions.

02 · Traction

Product-market fit

Is anyone actually paying for the output? We want subnets with real customers, real usage, and a product that stands on its own outside the incentive game.

03 · Market

Large addressable market

The opportunity has to be big enough to matter. We back subnets aimed at large, growing markets where decentralized intelligence has a structural edge.

04 · Team

Operators who ship

Tokenomics and TAM mean little without a team that executes. We weight credible, technical teams with a track record of shipping and engaging their community.

05 · Position

Defensibility

We look for a durable edge, whether data, distribution, network effects, or a technical moat, that makes a subnet hard to displace as the space matures.

06 · Risk

Liquidity & sizing

Alpha tokens are young and volatile. We size positions to that reality, manage liquidity actively, and treat every subnet investment as high-risk venture capital.