TranscripticWinter 2015Inactive☆Watch⊞Compare

Transcriptic is one of 233 Biotech companies tracked from Menlo Park, CA, USA, on record since 2014. By capital raised it ranks mid-pack (ahead of 67% 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”

The robotic cloud laboratory for the life sciences.

Founded in 2012, Transcriptic has developed the first robotic cloud lab platform for on-demand life science research. It’s powered by the Transcriptic Common Lab Environment (TCLE) a scalable, digital infrastructure that integrates laboratory processes, instruments and IoT technologies into a single user interface. Researchers can carry out scalable, reproducible and rapid experimentation from anywhere in the world. Top ten pharmaceutical companies, as well as emerging biotech companies, are using the platform to gain more reproducibility and flexibility in the design and control of their experiments. By leveraging cloud-based technologies, users can access the power of a fully automated laboratory – whether in their own labs through an on-premise deployment of TCLE or through Transcriptic’s Bioassays services – all through a simple web-based interface. Transcriptic is transforming drug discovery and synthetic biology research by helping scientists focus on accelerating discoveries instead of labor-intensive bench work.

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 233 companies in Biotech. 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 67% of sector peers (real $). Modeled value above 67% 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.

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

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