HappiLabsSummer 2018Acquired☆Watch⊞Compare

HappiLabs is one of 233 Biotech companies tracked from San Francisco, CA, USA; Chicago, IL, USA, on record since 2018. 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”

Virtual Lab Managers for scientists and biotech, research Labs

We're a SaaS company with emphasis on Service, and we have a mission: to improve the happiness of scientists and the quality of their research. HappiLabs provides a service called the Virtual Lab Manager. We offer PhD level, former scientists to help with safety and regulatory, product research, lab shopping, negotiating, purchasing, inventory, and bookkeeping. Our software tools, such as the ETA Dashboard and the HappiApp, make it easy to request purchases, manage inventory, and check-in packages upon delivery. HappiLabs also has one of the most extensive databases of product prices. These tools, and experienced humans, make us the smartest lab managers in the world. Another way to think of us is an outsourced purchasing department and/or a personal assistant for your scientists. Based in Chicago, and some presence in San Francisco. If you're a newly funded PI, a startup, small biotech, or work with purchasing as a big pharma/biotech, you can use our help.

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.

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

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