Companies · AI / ML
Tel Aviv-Yafo · Tel Aviv District, Israel · AI / ML · founded 2017 · https://guggy.com
Diligence memoA one-page analyst read on Guggy — recommendation, valuation, rhythm, risks.→Guggy: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Guggy is one of 2067 AI / ML companies tracked from Tel Aviv-Yafo, Tel Aviv District, Israel, on record since 2017. By capital raised it ranks mid-pack (ahead of 62% 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”
Guggy is building the messaging app of the future with real time,…
Guggy developed two innovative communication and creation products that reached global audiences. The Guggy API was a high-scale contextual messaging engine that analyzed text messages—including slang and short conversational fragments—to understand their meaning and automatically generate matching GIF responses. It combined a custom NLP engine, a relevance-matching system, and a real-time GIF regeneration pipeline, and was integrated into leading messaging platforms such as Facebook Messenger, Viber, Kik, Telegram, Slack, and major Asian chat apps, serving millions of requests per day. Guggy also created Bits, a short-form video creation app designed for actors, comedians, and everyday creators to craft original comedic scenes with ease. Bits provided intuitive but powerful tools for scripting, timing, character changes, audio control, and scene composition, enabling fast, high-quality creative expression. The app attracted tens of thousands of creators and was featured in Fast Company for its innovative approach to mobile video creation.
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 2067 companies in AI / ML. 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 62% of sector peers (real $). Modeled value above 62% 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.
Guggy 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.
| Company | Sector | Stage | Raised · real | Value · est | Why similar |
|---|---|---|---|---|---|
| Accord | AI / ML | — | — | — | same sector |
| Acely | AI / ML | — | — | — | same sector |
| Aedilic | AI / ML | — | — | — | same sector |
| Aemon | AI / ML | — | — | — | same sector |
| Affogato AI | AI / ML | — | — | — | same sector |
| Aftercare | AI / ML | — | — | — | same sector |
| Agentic Labs | AI / ML | — | — | — | same sector |
| Ai Aiba | AI / ML | — | — | — | same sector |
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 |
|---|---|---|---|---|
| Chatfuel Platform to easily create chatbots to engage with audiences on… | — | — | — | 72% |
| Quickchat AI Conversation Design platform to build Al Assistants tailored to your… | AI / ML | — | — | 71% |
| Okibi Build AI coworkers using natural language, it's Lovable for agents | AI / ML | — | — | 71% |
| Gupy, Ltd. | Other Technology | Series A | $179.8M | 70% |
| Kindamagical Create + share amazing product GIFs in minutes ⚡️ | — | — | — | 70% |
| TypeLess AI messaging API for smarter, faster communication. | AI / ML | — | — | 70% |
| Latted A Unified Editor For AI Video | AI / ML | — | — | 70% |
| Lovable Labs Inc Build apps, websites, and digital products faster using Lovable's AI-powered platform, no deep coding skills required. | AI / ML | Growth/Late | $4.3B | 70% |
See where Guggy sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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