Mountain View · CA, USA; Remote · founded 2022 · https://flowdeploy.com
Diligence memoA one-page analyst read on FlowDeploy — recommendation, valuation, rhythm, risks.→FlowDeploy: 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”
Bioinformatics pipelines in the cloud
FlowDeploy helps bioinformaticians manage their data analysis pipelines. We provide everything they need to try, run, develop, and share their pipelines. That includes integrations with AWS, Snakemake, Nextflow, GitHub, Slack, SSO, and more, as well as a clean API and web app for launching and monitoring pipelines and managing their data. FlowDeploy is built for bioinformaticians: it doesn't restrict how pipelines are built and managed, as long as a bioinformatics workflow manager like Nextflow or Snakemake is used. But it does eliminate several footguns like idle spend and accidental data egress, and it reduces the potential for users accidentally sharing credentials. FlowDeploy runs the pipelines in either our managed cloud or the customer's cloud – eliminating the need to transfer data externally. Non-computational biologists can use FlowDeploy, too: features like pipelines templates decrease the complexity to launch a new pipeline, which reduces user error and decreases the need for advanced cloud training for non-computational users.
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.
FlowDeploy 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 |
|---|---|---|---|---|
| PipeBio PipeBio is a SaaS bioinformatics platform to develop antibody drugs. | SaaS / Software | — | — | 77% |
| Pipekit Pipekit scales data & CI pipelines for enterprises | — | — | — | 74% |
| Flowdash Quickly build internal tools for your ops team's manual workflows | SaaS / Software | — | — | 74% |
| FlowiseAI Open source GenAI development platform | — | — | — | 74% |
| FlowEQ No-code workflow tool | — | — | — | 74% |
| Novaflow The AI data analyst for biology labs | AI / ML | — | — | 73% |
| Porter Easiest way to deploy on AWS/GCP/Azure | Developer Tools | — | — | 72% |
| PipelineDB Open-source time-series data analytics extension for PostgreSQL | Data / Analytics | — | — | 72% |
See where FlowDeploy sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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