Investor profile for Amplify Partners: stage-based planning range, investment stages, sector focus, portfolio companies, sources, and verification status. Part of the Venture Capital Tracker directory.

VC fund profile · evidence-aware directory data

Amplify Partners stages, portfolio and investment profile

Amplify Partners is an early-stage venture firm focused on technical founders building data infrastructure, developer tools, AI systems and enterprise software. Its portfolio includes Datadog, Temporal and Modal. It is a stronger match for deep technical products than for generic consumer-app pitches.

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Stage-based planning range

$1M–$10M

This is a planning range inferred from stage coverage, not a firm-disclosed check size.

Methodology: Stage bucket inferred from the rounds a fund leads or invests in.

No firm-specific check-size disclosure is recorded.

Source link not recorded Confidence: 25% Verified: October 25, 2026 View methodology

Investment stages

Leads: Seed, Series A, Series B

Participates: Seed, Series A, Series B, Series C

Sector focus

ai-ml · hardware-semiconductors · generalist-tech

Geography

Menlo Park, California, United States

Founded 2012

Fund size / AUM

Not recorded

A separate fund-size evidence record is not yet available.

Portfolio in our directory

1

Linked startup profiles

Recent tracked investment

Not recorded

No dated round explicitly links this fund.

Rounds they lead

Seed Series A Series B

Rounds they invest

Seed Series A Series B Series C

Last verified: 2026-10-25. Check-size evidence is labeled by basis so planning estimates are not presented as firm disclosures.

Related reading

Recent investments, portfolio developments and our research on this investor.

1 story · newest first

Portfolio companies we track

Startups in our directory that list Amplify Partners as an investor (1 total).

By Venture Capital Tracker

Last updated:

Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.