Text.aiSpring 2025Active☆Watch⊞Compare

Text.ai is one of 1052 Media & Content companies tracked from San Francisco, CA, USA, on record since 2025. By capital raised it ranks in the long tail (ahead of 22% 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”

Alfi - your group chat with social skills to bring friends closer

We're building the first group chat with social skills. While everyone else is stuck with boring individual chatbots, we've cracked the impossible: Alfi reads the room, understands each person, and creates custom intelligence for every group chat. Alfi is your new social friend. The one who remembers everything, plans effortlessly, and keeps the crew together. Here's what that looks like: - Book restaurants together, with Yelp built in, directly in the chat. No more "where should we go?" spirals. Reserve instantly. - Create images with your friends: drop your crew into funny hats, wild scenes, anything you can dream up. Multiplayer image gen, first of its kind. - Social calendar: upcoming hangs, all in one place. Everyone on the same page. - Group Wrapped: who's the chattiest? Top inside jokes? Now you'll know. - Reminders & Memory: Alfi remembers your spots, your preferences, and nudges you to actually hang out. We're in the middle of a quiet shift. Gen Z is leaving broadcast social media. They're retreating to group chats, smaller, more intentional and personal spaces where they're honestly themselves. But group chats are also where plans go to die. Someone has to be "the planner" or nothing happens. We believe the group chat is the real social network. Where the funniest moments and real conversations happen in real time. With Alfi, we hope to bring you together more expressively, a lot more often. This technology will bring humanity closer than it's ever been before. Not replace connection, deepen it. That's the future we're building toward.

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 1052 companies in Media & Content. 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 22% of sector peers (real $). Modeled value above 22% 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.

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

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