LibrettoSpring 2025Active☆Watch⊞Compare

Libretto is one of 327 Robotics companies tracked from San Francisco, CA, USA, on record since 2025. By capital raised it ranks in the long tail (ahead of 35% 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”

Turn website workflows into reliable APIs

Libretto is an open-source CLI that lets agents turn website workflows into fast, reusable scripts you can deploy The problem: Most browser automation tools work by sending an AI agent to operate a website in real time, like a robot typing and clicking on your behalf. This is slow, expensive, and unpredictable. They rely on fragile DOM parsing that breaks on legacy and complex sites, and you can never fully trust what the agent will do on unintuitive or inconsistent workflows. Our approach: Libretto helps your coding agents generate workflows as actual, readable code during development, not at runtime. Under the hood it combines Playwright with direct in-session network/API calls for reliability and bot detection evasion. It also supports step-through debugging and a read-only mode to prevent accidental data changes while your agent builds and debugs workflows. This makes Libretto cheaper, faster, and easier to maintain, especially for more complex websites and high stakes workflows.

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 327 companies in Robotics. 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 35% of sector peers (real $). Modeled value above 35% 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.

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

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