Reachedly

AI-native influencer marketing operations for agencies and brands.

The problem

Influencer research is manual: spreadsheets, DMs, and scattered profile checks
Brand and creator vetting is inconsistent across team members
Outreach lists go stale before a campaign even launches
Agencies and brands lack a repeatable, auditable research process

The solution

Reachedly replaces manual research with an AI-native pipeline: brand and creator discovery, fit scoring, suitability and safety checks, and outreach-ready contact intelligence — all reviewed by humans before a deal moves forward. The same platform also runs campaign and deal management once outreach turns into a partnership.

Why now

Generative AI makes large-scale profile and contact research economically viable

Influencer marketing spend continues to shift budget from traditional channels

Agencies need a defensible, repeatable process as client scrutiny increases

Cloud-based model inference makes per-task AI cost predictable at scale

Use of cloud & model credits

Every discovery, scoring, and enrichment task consumes a metered credit tied directly to underlying cloud compute and model inference cost. This keeps unit economics transparent: as usage grows, credit consumption — and revenue — scales with it. Credits also let us extend compute or model grants directly into customer-facing usage without changing the product.

Usage-based cost

Transparent unit economics

Grant-compatible

Proof checklist

Working product: discovery, scoring, and outreach workflows live today
Paid subscription tiers with credit-based usage already in market
Real campaign, deal, and contact data flowing through the platform
Clear unit economics: credit consumption scales directly with usage