TressWinter 2017Inactive☆Watch⊞Compare

Tress is one of 1052 Media & Content companies tracked from Accra, Greater Accra Region, Ghana, on record since 2016. By capital raised it ranks in the long tail (ahead of 22% of sector peers), and in the long tail by modeled valuation est..

Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.

AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%

operates a technology-led product inferred from public copy

Grounded in: “You are a venture analyst”

Tress is a social community for black women's hairstyles. We are…

Tress is a social community app to discover and share beautiful hairstyles. Many ladies are crazy about their hair. They change their hairstyles often, a lot and radically. Whether they have natural, relaxed, texlaxed or dreads, women are always on the lookout for new and beautiful hairstyle inspiration. Equally important to many ladies is information about a preferred hairstyle. Information such as the name and location of the salon that had the hair done, the name of the hair-piece/extension or hair-product used on the hair and also the cost of having the hairstyle done at the salon. Women can admit to walking up to complete strangers to ask the detailed questions about hairstyles or stalk accounts on social media for the above information. Tress is a fun, simple and easy to use app that addresses the hairstyle needs of women. It is a social community mobile app for women to find hairstyle inspiration. Women additionally have access to important information about each hairstyle. Information such as the name of the extension/weave used, name of hair-care product, name and location of salon /stylist and price range of the hairstyle. Users on the app can create a profile and upload their beautiful hairstyles with information such as the salon/stylist name, name of hairpiece/product used and price range for the hairstyle. A user can follow other users and have other users following them thus creating a vibrant community. Users can have people liking and commenting on their post, increasing engagement and creating a vibrant hair community. Over time women will have a database of all their hairstyles done over a period of time and can always refer back for

As reported in public records reported — not modeled.

Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.

No round amounts on record to chart.

No staged rounds to sequence.

Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.

Not enough modeled valuation points to chart a trajectory.

Benchmarked against 1052 companies in Media & Content. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.

Raised more than 22% of sector peers (real $). Modeled value above 22% of peers (estimate).

Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.

Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.

Tress is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.

Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.

Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.

See where Tress sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

If you work at Tress, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.