Companies · Fintech

FazeshiftSummer 2024Active

San Francisco · CA, USA · Fintech · founded 2024 · https://www.fazeshift.com/

Diligence memoA one-page analyst read on Fazeshift — recommendation, valuation, rhythm, risks.→
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Total raised · real
0
Rounds
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Latest step-up
Top 35%
Sector rank · raised
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Latest stage · inferred

Fazeshift: 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 Fintech

Fazeshift is one of 1063 Fintech companies tracked from San Francisco, CA, USA, on record since 2024. By capital raised it ranks mid-pack (ahead of 66% 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”

AI agent for Accounts Receivable

Fazeshift is an AI agent for automating Accounts Receivable. What used to take teams of people and hours of manual work can now be fully automated with Fazeshift. Caitlin and Timmy met while getting their MBA at Harvard. After graduating, they started a B2B marketing software startup, which is where they first experienced the pain of this process. The problem stems from fragmented data across software platforms like QuickBooks, Stripe, NetSuite, DocuSign, HubSpot, and Salesforce. Fazeshift’s infrastructure connects the data across these software platforms and uses LLMs to automate the previously manual workflow.

AIB2BFintechai/ml
Find Fazeshift 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
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Base estimate est.
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Conservative case
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Upside case
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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
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Avg between rounds
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Capital velocity
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On record since
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First round
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Rounds on file
How it compares to the market

Benchmarked against 1063 companies in Fintech. 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$4.3M
Modeled value — vs sector median (estimate, all stages)
This company—
Sector median$45.1M

Raised more than 66% of sector peers (real $). Modeled value above 66% 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
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Modeled next raise
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Modeled next size est.
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Last step-up
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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

Fazeshift 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
2WB TRADING ASFintech———same sector
AbacusFintech———same sector
AbhiFintech———same sector
Absa BankFintech———same sector
AccendFintech———same sector
Accept.inc (formerly BoardRE)Fintech———same sector
AerFintech———same sector
Agent Banking CompanyFintechGrowth/Late——same 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
Fini
Fini | Automate 80% of enterprise support with AI agents
Fintech——79%
Clarum
AI agents for private market diligence, monitoring, and reporting
Fintech——78%
Fintelite
Intelligent Process Automation for Lending.
Fintech——78%
Two Dots
AI fraud prevention and underwriting agent
Fintech——78%
Eloquent AI
The AI Operator for Financial Services
Fintech——78%
Q2Q
We help private equity teams find acquisition targets faster
Fintech——77%
Bluebook
AI for accounting
Fintech——77%
Finto
AI accounting for enterprise finance teams
Fintech——77%
Frequently asked
What does Fazeshift do and where is it based?
Fazeshift operates in the Fintech sector, based in San Francisco, CA, USA. AI agent for Accounts Receivable
Explore related

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

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