MelderFall 2024Active☆Watch⊞Compare

Melder is one of 2067 AI / ML companies tracked from New York, NY, USA, on record since 2024. By capital raised it ranks mid-pack (ahead of 62% of sector peers), and mid-pack 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”

AI formulas and document support for Microsoft Excel

Melder is an Excel add-in that brings AI functions and document support into your spreadsheets. Upload files directly into cells, use smart formulas like =GEN, and build automations—all without leaving Excel. Core features: - File-to-Sheet: Drop PDFs directly into cells, then reference them in formulas. - AI-Powered Functions: Write formulas like =GEN() or =EXTRACT() to summarize, classify, and analyze content. - Chat Assistant: Use our AI assistant to help build your sheets or answer questions from your data, live in the workbook. Business users use Melder to: - Accelerate diligence by extracting insights from data rooms - Review contracts by identifying key terms and clauses instantly - Run market research by pulling information from competitor websites - Synthesize transcripts by generating summaries from interviews and calls Melder brings the power of structured spreadsheet logic to the messy, unstructured data world—no coding needed.

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 2067 companies in AI / ML. 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 62% of sector peers (real $). Modeled value above 62% 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.

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

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