Bright Data alternatives for AI teams: a shortlist that's honest about the tradeoffs

Bright Data is the category leader in commercial proxy networks. The reason most AI teams look for alternatives isn't that Bright Data is bad at its job — it's that Bright Data is priced, packaged, and supported for a workload shape that doesn't always match an AI team's actual usage pattern.

This page is a working shortlist of alternatives for AI-focused work in 2026. SquadProxy (the site you're on) is one of them; the comparison below is honest about where we fit and where we don't.

What Bright Data does very well

Before the alternatives: the cases where Bright Data is the right answer and no substitute will do.

• Enormous scale. Pulling 50+ TB of residential per month at consistent quality. Bright Data's network depth matters here; no alternative matches it at that volume.
• Bright Data products beyond the proxy layer. The Unblocker, Archive API (50+ PB of historical web archive), SERP APIs, and dataset marketplace are distinct products that ship with the account. If your procurement is for those specifically, Bright Data is the obvious answer.
• Enterprise contracting. Bright Data has a full compliance stack (DPA, SOC 2, GDPR posture, enterprise MSA) and a dedicated account management team. For companies that already have a procurement relationship, staying on Bright Data is frictionless.

Where an alternative fits

Three situations where looking elsewhere is worth the effort:

1. AI-specific workload framing. Bright Data's product surface is deliberately broad — scraping is the primary framing, AI is a subset. Vendors that frame around AI workloads specifically (RAG ingestion, LLM evaluation, training-corpus collection) often fit better on the header/session controls that AI pipelines actually use.
2. Provenance documentation. Bright Data has published sourcing statements, but the network is large enough and historically diverse enough that publication-grade provenance documentation is non-trivial. Smaller networks with tighter pool composition sometimes document cleaner.
3. Medium-scale budget. Bright Data's entry pricing is higher than volume-committed competitors, and the product breadth is wasted money if you only need residential + ISP + datacenter.

The shortlist

Ordered by fit for AI-native workloads, not by market share.

SquadProxy (this site)

The AI-focused newcomer. Operates across 10 countries with a ~40M residential pool, full ISP / datacenter / 4G / 5G stack, and a pricing model that treats residential as metered and datacenter as unlimited (because for AI workloads that's the honest shape).

Fits when:

• Your workload is AI-specific: training corpus, RAG, LLM evaluation, safety red-team
• You need provenance documentation that survives academic review
• Medium scale: sub-10 TB residential per month
• Per-source routing via one gateway and header-based class switching matters

Doesn't fit when:

• You need >10 TB residential per month at committed pricing
• You need coverage in a country outside the 10 we operate
• You need Bright Data's Archive API or Unblocker specifically
• You need a vendor with multi-year enterprise procurement history

See pricing, the residential proxy page, or the RAG data collection use case for the workload framing.

Oxylabs

The closest full-service alternative. Similar scale to Bright Data, similar product breadth, somewhat different positioning (more scraping-tool focused, less data-marketplace focused). Third-party benchmarks (G2, AIMultiple) consistently score Oxylabs competitively against Bright Data on residential success rate and response speed.

Fits when:

• You need a full-service alternative with enterprise contracting
• You want the OxyCopilot AI assistant integrated with proxy infra
• You're willing to pay premium rates for support quality

Doesn't fit when:

• Budget sensitivity is real — Oxylabs is at the premium end
• You need a vendor specifically framed around AI workloads rather than web-scraping generally

SOAX

Mid-market residential provider with published ethical-sourcing claims. ~155M IP pool claimed, 195+ country coverage, strong on granular rotation controls.

Fits when:

• You need broad country coverage at medium scale
• You value documented opt-in SDK sourcing
• You want mid-tier pricing, not the premium tier

Doesn't fit when:

• You need datacenter + ISP + mobile at parity with residential (SOAX's strength is residential specifically)
• You need AI-workload framing on the account side

IPRoyal

Budget-tier residential with honest per-GB pricing. Smaller pool, less coverage depth, but priced competitively for workloads that don't need premium-tier success rates.

Fits when:

• Budget is the dominant constraint
• Your target sources tolerate lower-grade residential IPs

Doesn't fit when:

• You're pulling training data at volume where per-request success rate compounds into real time cost
• You need provenance documentation

Comparison table

Numbers below are drawn from each vendor's own published figures and from third-party reports (G2, AIMultiple, Proxyway's 2025 Web Scraping API Report). SquadProxy hasn't independently benchmarked the others; these are positioning numbers, not a blind comparison.

	Bright Data	Oxylabs	SOAX	IPRoyal	SquadProxy
Residential pool (vendor claim)	150M+	100M+	155M+	32M+	4M+ (10-country focus)
Countries	195+	195+	195+	195+	10 (focused)
Mobile (4G/5G)	Yes	Yes	Yes	Limited	Yes
Static ISP	Yes	Yes	Yes	Yes	Yes
AI-workload framing	Subset	Subset	No	No	Primary
Header-based class routing	No (endpoints)	Partial	Yes	Yes	Yes
Entry pricing (residential, 10 GB)	~$8.40/GB	~$8/GB	~$6-7/GB	~$1.75/GB	Metered in plan
Enterprise procurement	Mature	Mature	Mid	Emerging	Emerging
Published sourcing policy	Yes, broad	Yes	Yes, stronger	Limited	Yes, opt-in SDK

Use-case fit by workload

If you know your workload shape, the shortlist compresses:

• Training-corpus collection at 10+ TB residential per month: Bright Data or Oxylabs. Nobody else has the sustained depth.
• Training-corpus collection at 1-10 TB/month: SquadProxy, Oxylabs, or SOAX.
• RAG ingestion for a production assistant (mixed source classes, per-source routing): SquadProxy, SOAX. Bright Data can do this but the multi-endpoint model adds pipeline complexity.
• Regional LLM evaluation across 10-30 countries: Bright Data if you need 30+ countries, SquadProxy if 10 focused countries cover the evaluation set, Oxylabs for anything in between.
• Safety red-team workloads: SquadProxy (AI-framing AUP, DPA) or Bright Data (enterprise compliance depth).
• Budget-first proof-of-concept: IPRoyal, then graduate when the workload stabilises.

Frequently asked questions

Is SquadProxy a fork of another proxy network? No. SquadProxy operates its own residential pool (opt-in SDK integration) and contracts its own datacenter / ISP / mobile capacity. The infrastructure stack is independent.

Does switching from Bright Data require rewriting the collector? The proxy endpoint and auth shape is HTTP Basic + gateway URL — standard across major vendors. The place that sometimes changes is the per-exit-class routing: Bright Data uses separate endpoints per exit class, SquadProxy uses one endpoint with a header (X-Squad-Class). Rewriting that is usually a ~20-line PR.

What happens if our workload grows past SquadProxy's 10-country scope? We'll tell you at sign-up. For workloads that need 30+ countries at material volume, one of Bright Data, Oxylabs, or SOAX will fit better. We'd rather be off a shortlist than be the wrong choice.

How current is this comparison? Vendor pricing and pool-size claims move every few months; this page is dated in the frontmatter. Rely on each vendor's live pricing page for the current numbers.

Bottom line

Bright Data is the right answer for high-scale, enterprise- procurement, product-suite-dependent workloads. For AI-native medium-scale work where provenance and routing controls matter, a smaller alternative usually fits better. SquadProxy is one such alternative; the comparison against Oxylabs, SOAX, and IPRoyal is real and the recommendation depends on your specific workload shape.

For the AI workload framing specifically, see proxies for RAG pipelines, regional LLM evaluation, or the residential vs datacenter routing matrix.