inferenceFI

The real-time market for verified inference produced on @Tensorcash, built on its rails.

[inferenceFI @inferenceFI]

This account is now @inferenceFI, formerly @AskTillyAI.

inferenceFI will become the commercialization layer for the verified inference produced on @Tensorcash, and we’re looking forward to finding a home for the verified compute running on the network.

inferenceFI is being built on the TensorCash rails, using its verification protocol and settlement layer.

AskTilly, the consumer app, comes online later at @AskTillyAI.

[inferenceFI @inferenceFI]

With public bids and trades, prices set by real supply and demand, and proof of the model behind every eligible answer, inferenceFI is building the real-time market for verified inference produced on @Tensorcash, built on its rails.

Stay tuned.

[inferenceFI @inferenceFI]

Last month we explained why inference will trade as a commodity.

Below, we explain how we are building the market where it does: buyers and sellers trading inference at open prices, with proof of what they get.

[inferenceFI @inferenceFI]

This lets buyers trade inference just like any other asset: with market orders that run now, limit orders that wait for their price, and in time the possibility to hedge inference costs.

Opening the door to what was not possible before.

[inferenceFI @inferenceFI]

As companies use AI for more and more of their work, inference is becoming a fixed cost in every budget. A cost that size needs certainty about what you get, what you pay, and what you’ll pay next month.

Imagine a market where every answer comes with proof of the model that wrote it, prices are open, and costs can be hedged like energy.

That’s the market inferenceFI is building on @Tensorcash.

[TensorCash @Tensorcash]

An independent benchmark by @boblabs_eu showed that mining on TensorCash adds at most 0.3% GPU time to inference.

Qwen3.8-27B ran on three GPUs over a full agentic session, once without mining and once with every request mined.

GPU time changed by −1.1% to +0.3%.

At close to zero overhead cost, a miner can serve inference together with a proof of the model that wrote it, and compete for the block reward at the same time.

[inferenceFI @inferenceFI]

The thesis inferenceFI was founded on: inference will trade like any other commodity. https://t.co/0FxSxceVv6

[TensorCash @Tensorcash]

@AskTillyAI, founded by @enrico_otta and @samjavadi, offers AI chat and agents with a built-in $TSC wallet and an API for developers.

Users pay in regular currency, miners are paid in $TSC, and every answer can be checked with a Verify receipt button.

[TensorCash @Tensorcash]

TensorCash is a proof-of-work chain where the work is AI inference. Miners can sell this inference and get a chance at the next block with the same work.

It sets the standard for verifiable inference by attaching a proof of the model used to every answer.

[inferenceFI @inferenceFI]

Prompt and output: https://t.co/DLS3hKnFNR

Miner payment: https://t.co/uOH7RzaphC

Receipt, blob and chain state: https://t.co/xHrrx8mb8p

[inferenceFI @inferenceFI]

An autonomous coding agent ran for 28 minutes on a @Tensorcash miner via the AskTilly API. One prompt, and it built this animation on its own for the client.

We sold the session for $0.16 and the miner was paid in tensorcash:native. A day after the model went live, already at market rates.

[inferenceFI @inferenceFI]

Every model turn came with a proof. A turn is one round: the agent asks, the model answers, the agent acts and reports back. 42 rounds in this session.

Each proof covers 256 tokens of what the model wrote, so anyone can check which model actually did the work.

[Samad Javadi @samjavadi]

Verified inference at this scale needs a buyer. We're building it at @AskTillyAI: the market where TensorCash capacity gets bought, paid for, and settled. Tokens per second in, revenue per second out.

[Enrico Ottavian @enrico_otta]

@crypto_popseye @AskTillyAI main product is InferenceFI - order books for LLM tokens - not a vision. Just the natural evolution of inference as a commodity.

[Enrico Ottavian @enrico_otta]

Inference is becoming a massive and rapidly growing market.

As inference costs become a material P&L line item, enterprises will increasingly focus on optimizing cost, performance and value extracted from AI models.

But a fundamental question remains: how do you verify you’re actually getting the model you’re paying for?

TensorCash solves the verification problem. inferenceFI builds the marketplace for open, verifiable inference.

The next frontier isn’t just cheaper inference. It’s trusted, efficient and transparent inference markets.