Liberating Trapped Intelligence ⧉ Fueling agents, automation, and robotics. Structured, tokenized, perpetual. linktr.ee/inflectivai
discord.gg/inflectiv
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A year from now:
A search API is the same web, crawled again.
A licensed file is a year out of date.
Your own build is as good as the time you put in.
An Inflectiv dataset has grown.
See the full comparison 👉 inflectiv.ai/compare
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Before you sign. Before you transact. Before you take the money.
One thing you can build on Inflectiv: a dataset of wallets, exploits, sanctioned addresses, and linked entities. Reputation Graph is one example of it.
Due diligence in a question.
See what people build 👉 app.inflectiv.ai
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A vendor's security report tells you they were safe.
It does not tell you when. Compliance Radar tracks how current each one is and writes the summary with its sources.
See it 👉 inflectiv.ai/usecases
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You published a dataset. How do you actually get paid?
Two ways, and they work independently 👇
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2. Tokenization, if you want it.
Keep up to 49% of supply, locked for 30 days, then unlocking linearly.
Your token trades on a bonding curve in $INAI and graduates to a DEX at around $5,000.
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The dataset works either way.
If it is never tokenized, agents still query it, credits still flow, and you still earn.
Two layers. One of them is optional.
Publish now app.inflectiv.ai
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Uploading to Inflectiv does not transfer your intellectual property.
You keep it. Access policies live on-chain. Buyers get answers, never your source files.
Your knowledge stays yours.
👉 app.inflectiv.ai
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This is exactly why we’ve been building so closely around the Sui stack.
Inflectiv intelligence already lives on @WalrusProtocol, with access secured through Seal. Now VAA adds verifiable agent authority on top.
@SuiNetwork verifies the action. Walrus anchors the evidence. Inflectiv provides the intelligence behind the decision.
The full agent stack is starting to come together.
nitter.siddz.com/i/trending/21074831883…
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Six products already run on Inflectiv.
Same pattern every time: messy sources in, structured dataset out, agent writes back.
Here they are 👇
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VC Portfolio Intel. Funds, partners, check sizes, and real portfolio activity, matched against your pitch.
VoiceVault. Customer complaints from Reddit, G2, Trustpilot and Discord, structured by product area, updated daily.
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Every one of them gets better as agents use it.
That is the difference between building on a dataset layer and building on a file.
See them: inflectiv.ai/usecases
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Encrypted with Seal, access controlled on-chain.
Your agent gets answers; nobody gets your files.
👉 app.inflectiv.ai
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Your agent asks a dataset a question.
What actually happens in that second? Five steps 👇
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3️⃣ You are charged one credit.
If the dataset cannot answer well enough, it is a miss, and you are charged nothing.
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4️⃣ Your agent writes back what it learned.
5️⃣ Your next question lands on a dataset that has grown.
That last step is the whole product.
👉 Try it app.inflectiv.ai
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