Aspire AI

Sourcing can take weeks.
Now it takes an afternoon.

Sourcing is the tax you pay before a creator program returns anything. Aspire AI finds creators who will perform, checks each one against your risk rules, and hands back a shortlist in an afternoon. Two people can run what used to take twelve.

Creator applying skincare product on camera
Discovery Brief

"Find US skincare creators, 25 to 34 audience, 20k to 150k followers, 3%+ engagement. Skip anyone we've already worked with."

Discovery agent · scanning 2.1M creator profiles
Done
Brand Safety agent · screening 148 candidates
Running
Ranked shortlist
Fit · Safety
@maya.skinjournal
Niche match · 4.8% eng · 62k followers
94
98
@thegloweffect
Look-alike of a proven partner · 3.6% eng
89
91
@dailyderm.co
2 aged findings · review before outreach
84
61

AI already finds creators. Fast, confident, and impossible to verify.

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Fake followers
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Hallucinated creators
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Wrong-market audiences
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Scraped, stale numbers
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Fake followers
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Hallucinated creators
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Wrong-market audiences
!
Scraped, stale numbers

Because AI can't vet what it can't see

Get the two weeks back

Nobody makes money during sourcing. Describe what you want in plain English. Aspire AI does the searching, screening and list-building, and hands back a ranked shortlist you can start outreach from.

Ranked on one scale
A score out of 100 on niche, audience and performance. Same scale for everyone, so the budget goes to the top of the list.
It shows its work
Every ranking cites the posts and numbers behind it. Check any of them.
More of what already worked
Point at a creator who did well and get others like them. Anyone already on your roster is left out.
Creator video 1
Creator video 2
Creator video 3
Fit rationale · @maya.wanders.well
94
fit score
Niche relevance96
Audience match93
Performance91
Cited evidence
4 wellness travel Reels in 30 days, averaging 41k views. Audience 68% US, 61% aged 25 to 34. No prior contact.
Creator video 1
Creator video 2
Creator video 4
Safety findings · @thecitylist.co
Score 61
412 of 480 posts analyzed · high confidence
Profanity, moderate
Two captions with strong language on nightlife posts.
14 mo ago
Alcohol, mild
Rooftop bar Reel with a cocktail in frame. Your standard blocks this.
8 mo ago
Ban list, competitor
Paid hotel stay with a brand on your competitor list.
3 mo ago
It reports, it doesn't decide. No pass, no flag, no block. Your team makes that call.

Find out now, not after the post goes up

One bad partner costs more than a quarter of sourcing. Set your standard once. The categories you won't touch, the competitors and terms you won't be near. Every candidate gets checked against it before you pay them, with the posts cited.

Your tolerances, category by category
Allow mild language. Block alcohol outright. Add the competitors and terms only your team would flag.
How bad, and how long ago
Every finding carries severity, recency, tone and frequency. A joke from four years ago isn't a post from March.
One number across the shortlist
One score out of 100 for every candidate. Override anything, with the reason on the record.
Public Beta · August 17th

Seats are limited.
Secure your spot.

Join the waitlist and we'll set you up with your own brief and safety standard the day the beta opens.

Talk to ProductNo spam. One email when your seat is ready.

Insights beyond just the caption

Slow Sunday at home. Same four bars, over and over.

10 words. 3 hashtags.
Nothing about the room, the coffee pot, the books, the rug, or the second person in the shot.
Two people at a piano in a city apartment
01
Window opens onto a dense city street, an apartment block rather than a suburb
02
A stovetop espresso pot, a competing coffee brand, sitting on the piano lid
03
Stack of secondhand books and loose sheet music, spines worn
04
Cast-iron radiator and a newspaper on the sill, an older rental, not a new build
05
A second person in the frame, uncredited, and he is the one playing
06
Patterned kilim rug over scuffed parquet, white sneakers still on
07
A cigarette resting in a mug at the near edge of the keys
Under the hood

Plain-language search is the easy part

Any tool can put a chat box in front of a filter. The hard part is the data underneath: processing millions of posts with enough depth and structure that a nuanced question comes back with a usable answer. So we built that first.

Every post is fetched, traced and enriched once into a shared index. Agents are thin and single-purpose, and read from that index instead of wiring up their own pipelines. New agents ship without touching the data layer, and every run makes the index better for the next one.

Enriched once, read by every agent
Profiles, posts, sightings and observations land in one index. Discovery ranks against it, Brand Safety judges against it, both on the same snapshot.
Judged against twelve risk categories
Severity, recency, tone and audience response are recorded per finding. Every result reports its own coverage, so you can see how much of a creator's history was analyzed.
Traceable back to the source snapshot
Every score cites the posts and metrics it came from, captured at a point in time. No number floats free of its evidence.
Scoped to your brand
Runs are attributed to your organization and rule-checked on read. No other customer sees what you searched or who you screened.
One doorway, wherever you work
Ask in Slack or from Claude. Same agents, same governed data, same answer.

Frequently Asked Questions

Two agents working together: Discovery and Brand Safety. Describe your campaign, your goal, or the creator you have in mind. Discovery works out who fits. Brand Safety checks them against your standard before you reach out.

Filters return everyone who ticks a box. Aspire AI goes looking, then ranks what it finds on one 0 to 100 scale across niche, audience and performance, citing the posts and numbers behind each one.

It recommends. Every creator comes back with a score, the evidence behind it, and one or two suggested next steps. You approve, override or ignore. Nothing goes out and no one gets contacted without your say-so.

Yes. Set your tolerance category by category, add a ban list for what a standard framework misses, and write your own rules on top. Every override is recorded with a reason.

More agents are coming: how creators actually perform, who your competitors are paying, and what it takes to win someone. Discovery and Brand Safety come first.

Public Beta opens August 17th. Seats are limited. Reserve one and we will set you up with your own brief and safety standard.