Startup profile for Tigris Data: latest funding, latest known valuation, total disclosed funding, investors, status, sources, and why the company is interesting. Part of the Venture Capital Tracker startup directory.
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Tigris Data funding, valuation and investors

Globally distributed S3-compatible object storage optimized for AI and serverless workloads.

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Funding, valuation & investors

Answer-first snapshot

Latest funding

Series A

$25M · October 2025

Latest known valuation

Not publicly disclosed

Total disclosed equity funding

$25M

Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.

Current status

private

series a

Investors in latest funding

Lead: Spark Capital

Other: Andreessen Horowitz , General Catalyst

Sources: latest funding Last verified: 2026-07-25

Overview

Tigris Data offers globally distributed, S3-compatible object storage designed for AI training, inference, and serverless applications requiring low-latency multi-region access. Founded by engineers from Uber's storage infrastructure team, Tigris raised a $25M Series A in October 2025 led by Spark Capital with Andreessen Horowitz and General Catalyst participating. The platform targets teams outgrowing single-region S3 but wanting cloud-native semantics without operating MinIO clusters themselves.

Why Tigris Data is interesting

Ex-Uber storage team built multi-region object store for AI training — Spark-led $25M Series A with a16z returning from seed.

Product & use cases

Tigris provides S3-compatible APIs with global distribution, strong consistency options, and performance tuning for AI dataset access — managed cloud service versus self-hosted object stores.

  • AI teams storing and fetching large training datasets globally
  • Serverless apps needing low-latency object reads across regions
  • Startups avoiding single-region S3 egress and latency bottlenecks

Key facts

  • Series A (Oct 2025): $25M led by Spark Capital; a16z and General Catalyst participated (TechCrunch)
  • S3-compatible globally distributed object storage for AI workloads
  • Founded by ex-Uber storage infrastructure engineers
  • Targets AI training and serverless low-latency access

Funding history (newest first)

Series A

2025-10 $25M

Source: https://techcrunch.com/2025/10/15/tigris-data-raises-25m-for-distributed-object-storage/

Investors in our directory

Funds linked from Tigris Data's profile — open a fund page for stage focus and related deal articles.

Andreessen Horowitz Spark Capital General Catalyst

Competitive landscape

Edge: Founders built Uber-scale storage — product decisions reflect multi-region AI workload patterns early.

Object storage is price-competitive; Tigris wins on AI-specific latency/global semantics and developer UX, not raw $/GB versus S3.

  • Amazon S3 incumbent

    Default object store; multi-region options require architecture work.

  • Cloudflare R2 direct

    S3-compatible with zero egress positioning.

  • MinIO (self-hosted) alternative

    Open-source S3 API; operational burden on teams.

Notable stories

  • Tigris founders left Uber's storage org to sell what AI labs need now — globally reachable object storage without rewriting apps for S3 quirks (TechCrunch, Oct 2025).

Industries

Infrastructure & Cloud AI & Machine Learning Developer Tools

Related funding articles

Venture Capital Tracker pieces that cover Tigris Data's financing or category context.

FAQs about Tigris Data

Practical answers founders, operators, and investors typically search for.

Tigris provides globally distributed, S3-compatible object storage optimized for AI and serverless workloads.
Spark Capital led the $25M Series A; a16z and General Catalyst participated. See /fund/andreessen-horowitz, /fund/spark-capital, /fund/general-catalyst.
Tigris offers S3-compatible APIs with global distribution tuned for AI latency; S3 is single-cloud with multi-region options you architect yourself.
October 2025 — $25M led by Spark Capital.
Engineers from Uber's storage infrastructure team per TechCrunch.
Tigris is a managed cloud service with S3-compatible APIs — verify OSS components on tigrisdata.com.
Not publicly disclosed.
AI dataset storage, multi-region serverless apps, and teams needing low-latency global object access.
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