OrgOrgSummer 2024Active☆Watch⊞Compare

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”

Organizational productivity suite for companies

OrgOrg is a suite of apps that keeps teams productive and healthy regardless of the size of your organization. Founded by the creator of Zenter (YC 07, acquired by Google and became Google Slides), OrgOrg is designed to be a natural extension of Google Workspace Apps to help run organizations collaborate better leading to higher productivity. Today the suite includes apps like: • Go links: Go links allows anyone in the org to easily name any link so team members can jump directly to the information that matters most: go/sales, go/production, go/anything-you-want. • Profiles with Personality: OrgOrg profiles are as insightful as they are delightful. They not only show you the expected org chart data, but also highlight accomplishments, how you like to work, and who you are as a person. • Goal tracking: Track, share, and collaborate on "big rock" goals on the cadence that makes sense for your team from daily to annually. • Branded New Tab: Keep the team focused the next major milestone, broadcast announcements, and keep important links top of mind every time a new browser tab is opened. • All Hands Q&A: Crowdsource questions, anonymously if desired, for large team meetings to make sure everyone's voice is heard, and the most top of mind questions are answered and recorded. • Smart Groups: Create rules based groups of people and use them to make sure the right people are in the right conversations and have the right access. For example, anyone with the title of "Software Engineer" should be in the #eng slack channel and eng@ google group. • On-call: Schedule smart rotations that take into account balancing the load and using signals from calendar schedules to make sure you don't waste time figuring out who can cover what in a fair way. Easily page the on-call from slack, API, or OrgOrg directly. • And more... All the tools you need so you can spend more time focusing on your core business, and less time focusing on the complexity that comes from running an organization.

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.

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.

OrgOrg 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.

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

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