SkyscrapeSummer 2017Active☆Watch⊞Compare

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”

Skyscrape makes temperature-responsive insulation

Skyscrape makes temperature responsive fabrics for a new type of clothing. These fabrics literally change shape in response to a change in temperature: the fabrics become thicker and insulate more as the temperature drops, and they become thinner and insulate less as the temperature rises again. This "intelligent insulation" has no wires or sensors, and the fabric's shape-changing behavior comes from a natural materials response. Skyscrape’s fabrics offer expanded thermal comfort across a wider temperature range than conventional clothing. Creating textiles that could change shape with changing temperatures required years of laboratory work by an interdisciplinary team of scientists, engineers, designers, and weavers, designing and refining machines and processes to make yarns and fabrics that could adapt to the environment. Skyscrape's first market entry was with Ralph Lauren in the 2022 Team USA Winter Olympics Opening Ceremony.

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 8525 companies in this sector. 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 96% of sector peers (real $). Modeled value above 96% 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.

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

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

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