Solutions
Some of what teams hand to Nyckel. Underneath they're the same idea — a call somebody makes over and over, made automatically instead.
Decide what's allowed on your platform — in text and in images — consistently, at whatever volume you get.
Moderation rules are rarely written down well enough for a rule engine, and they're specific to you: what's fine on one platform gets someone banned on another. Nyckel learns your line from the calls your team already makes, and gives every decision a confidence score — so the obvious cases clear themselves and your reviewers only see the genuinely ambiguous ones.
Put every incoming item into the right category, so your catalog, library, or feed stays organized without anyone filing things by hand.
Works on product photos, listings, documents, uploads, and messages — anything arriving in a steady stream that somebody currently sorts. The categories are yours, not a fixed taxonomy, so the output drops straight into the structure your system already uses.
Spot defects, damage, wear, or unusable inputs before they cause a problem further down the line.
Quality checks are a good fit because "acceptable" is easier to demonstrate than to define. You show examples of good and bad, and the model picks up the distinction — including the parts nobody wrote into the spec. Confidence scores matter here: borderline items go to a human instead of being waved through.
Send each message, ticket, or form to the right team — and flag the ones a person needs to look at first.
Routing is where the confidence score earns its keep. Set a threshold, auto-route everything above it, and put the rest in a queue. As your team works that queue, their decisions feed back in and the threshold's worth of traffic keeps growing.
Given one item, return the closest matches from a collection you already have — matched on meaning, not keywords.
Useful when the answer isn't one of a fixed set of categories but "which of these existing things is this most like." Matching a new support ticket to the one that already got solved, finding the product that fits a customer's description, spotting near-duplicates in a library.
Pull the words out of a photo, scan, or document image so the rest of your system can use them.
Receipts, labels, forms, signs, screenshots — anywhere the information you need is trapped in a picture. Often the first step in a longer chain: read the text, then sort or route on what it says.
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