Companies · AI / ML

VybeSpring 2025Active

San Francisco · CA, USA · AI / ML · founded 2025 · https://www.vybe.build

Diligence memoA one-page analyst read on Vybe — recommendation, valuation, rhythm, risks.
Total raised · real
0
Rounds
Latest step-up
Top 39%
Sector rank · raised
Latest stage · inferred

Vybe: limited disclosed financing to assess.

Synthesized from the figures below est. — every claim rests on a number shown on this page.

Where it sits in AI / ML

Vybe is one of 2067 AI / ML companies tracked from San Francisco, CA, USA, on record since 2025. 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

Secure internal apps. Built by AI in seconds. Powered by your data.

We're 2 repeat YC founders. We founded Plato (W16, sold to Coda) and Wolfia (S22). Quang lead Product/GTM for Coda Solutions and Fabien is ex-SWE at Meta and lead Engineering at Wealthfront before. We’re building Vybe: "Lovable for internal apps". We come with pre-built building blocks: Integrations (Gmail, Gcal, Github, Jira, etc.), SSO and AI tools (Websearch, Summarization etc.) so anyone in a company can build and launch internal AI-powered apps. Vibe coding is dramatically lowering the barrier for non-technical users to create full web apps. Lovable, Replit, Bolt, Google, Canva, Figma all launched their vibe-coding platforms. People love them. They're great for prototyping, but it's difficult to roll out inside a company for internal use cases for those reasons: 1. Data: If you want to connect your existing data (e.g. Salesforce, Gmail, Jira), you'd need to rebuild the API auth, pagination, etc. 2. SSO: If you build 20 apps, you'll have 20 different logins 3. Security: AI-built apps have massive risk of exposing data, especially if built by non developers So companies are stuck in the old world: clunky spreadsheets, rigid SaaS solutions or complex no-code tools. Time to build!

B2BEngineering, Product and Designai/mlsaas
Find Vybe online

As reported in public records reported — not modeled.

US
Jurisdiction
Amount raised vs valuation, by round

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.

Financing ladder & sequence gaps

No staged rounds to sequence.

Modeled valuation trajectory
Base estimate est.
Conservative case
Upside case
Modeled post-money

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.

Financing rhythm
Avg between rounds
Capital velocity
On record since
First round
0
Rounds on file
How it compares to the market

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.

Total raised — vs sector median (real $, all stages)
This company
Sector median$4.7M
Modeled value — vs sector median (estimate, all stages)
This company
Sector median$27.9M

Raised more than 62% of sector peers (real $). Modeled value above 62% of peers (estimate).

Full financing history

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.

StageAmount · realAnnouncedPost-money · estValue · estConf.
No rounds recorded.
Intelligence
Modeled next raise
Modeled next size est.
Last step-up
Capital velocity

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.

Registry & provenance

Vybe is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.

United States
Country of record
US
Jurisdiction
Similar companies

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.

CompanySectorStageRaised · realValue · estWhy similar
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Ai AibaAI / MLsame sector
Semantically similar

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.

CompanySectorStageValue · estMatch
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AI / ML76%
Gigacatalyst
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AI / ML76%
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VibeFlow
Lovable, n8n and a database all in one platform
75%
Model ML
AI Workspace for Financial Services.
AI / ML75%
ClearBrain
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Energy75%
Anima App
Design to Code & On-brand Vibe-coding
AI / ML75%
Frequently asked
What does Vybe do and where is it based?
Vybe operates in the AI / ML sector, based in San Francisco, CA, USA. Secure internal apps. Built by AI in seconds. Powered by your data.
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