Bengaluru · KA, India · founded 2019 · https://getbinks.com/
Diligence memoA one-page analyst read on Binks — recommendation, valuation, rhythm, risks.→Binks: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
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”
A zero inventory, zero returns factory-to-consumer apparel company
Getting clothes tailor-made is very common in India, especially for women. Saree blouses have to be tailor-made always due to their fitted nature & the non-stretchiness of typical Indian fabrics. The tailoring market however, hasn't evolved at all. It is highly fragmented with a low NPS. The end user experience demands a significant amount of the customer's time, involving visits to a physical shop & avoidable back & forth. This is increasingly unviable for busy urban Indian women. We make it super easy by letting women place an order online, get fitted at the comfort of their homes, help them with styling their fabric & deliver the made-to-measure clothes directly to their doorstep.
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.
| Stage | Amount · real | Announced | Post-money · est | Value · est | Conf. |
|---|---|---|---|---|---|
| No rounds recorded. | |||||
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.
Binks 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.
| Company | Sector | Stage | Value · est | Match |
|---|---|---|---|---|
| Tailor Headless ERP for retail operations | AI / ML | — | — | 73% |
| Sweat Tailor, Inc. | Retailing | Pre-Seed | $3.9M | 71% |
| Garmentory Inc. | Retailing | Seed | $8.2M | 71% |
| Dressd Make infinite $$$ off of clothes in your closet without selling them | — | — | — | 70% |
| Tailornova/Couturme AI for Instantly Manufacturable Fashion | AI / ML | — | — | 70% |
| Bumpline Captain Tailor is the Uber for tailoring. | — | — | — | 70% |
| Tailorie, Inc. | Other | Pre-Seed | $4.6M | 70% |
| KAAL South African company, based in Cape Town. Sector: clothing industry. | clothing industry | — | — | 69% |
See where Binks sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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