Best AI Data Companies

What are the best alternatives to Surge AI in 2026?

Answer in brief: Surge AI is a premium choice, but it is geared to large labs and its best terms go to its Trusted Program. If you need published license terms, fast samples or a smaller first purchase, the best alternatives are Mercor (commercial training license stated, same-day samples), Snorkel AI (non-exclusive, tiered products), Toloka (24-hour samples), Appen (perpetual non-exclusive license with a spec sheet for each dataset) and Defined.ai (marketplace with free samples). For data no catalog holds, Protege brokers proprietary real-world data and Tonic.ai generates synthetic data from $0. This is independent research as of November 9, 2026. We have not tested any vendor.

Top pick: Mercor. It is the closest match to Surge's expert-built quality, with a published catalog, same-day samples and a commercial-training license stated in its FAQ.

Where Surge leaves gaps

Alternatives ranked by how easy they are to buy from

AlternativePublished termsSample speedWhere it beats Surge
MercorCommercial training license statedSame dayPublished task counts; knowledge-work depth
Snorkel AINon-exclusive; buy by difficulty tierOn requestQuarterly refresh; harnesses and verifiers included
TolokaNon-exclusive commercial license24 hoursPhysical-AI video and mobile-use RL gyms
AppenPerpetual, non-exclusiveUnder NDASpeech, 500+ locales, provenance spec sheets
Defined.aiQuotes from the marketplaceFree samplesMulti-vendor choice across modalities
ProtegeCustomOn requestPrivate healthcare, media and audio data
Tonic.aiPublic plan pricesInstant (self-serve)Synthetic data you own

Expert-built catalogs

Mercor. 50K+ tasks across 30+ domains, written by PhD researchers, lawyers and senior engineers. The catalog includes APEX-Agents, SWEBench Ext., TerminalBench and BrowseComp, and Mercor can extend sets with custom projects. · Review

Snorkel AI. The Snorkel Data Series covers terminal coding, software engineering, enterprise environments, computer use, scientific workflows and STEM reasoning. A frontier tier is available where leading models pass only a minority of attempts. · Review

Toloka. Enterprise RL Gyms (2,500+ tasks in 11 environments), WorkBench and Frontier STEM, all with deterministic grading. Check its geographic restrictions for your region. · Review

Labelbox. If you mainly want Surge's long-horizon tool-use environments, Labelbox Horizon generates RL environments at scale against your pass@k targets. · Review

Catalogs and marketplaces with fewer hoops

Appen. 646 datasets, each documented for source, consent, annotation method and limitations, plus SOC 2 Type II and ISO 27001. · Review

Defined.ai. Filter the marketplace, customize format and sample rate, request free samples and quotes, and receive data by file transfer or API.

When the data does not exist yet

Protege licenses and curates private, real-world data for pre-training, post-training and uncontaminated evaluation. It has raised $65 million since 2024, according to the company.

Tonic.ai Fabricate generates relational and unstructured synthetic data through a chat-driven Data Agent. Tonic says you own the generated data, but it may use your prompts to improve the agent.

When Surge is still the right call

If you are a frontier lab that qualifies for the Trusted Program, pay-on-results is hard to beat. · Compare it directly in Mercor vs Surge AI and Surge AI vs Scale AI.

FAQ

Which Surge AI alternative is best for a smaller team?

Defined.ai and Appen offer catalog licensing with samples. For synthetic data, Tonic.ai publishes a free tier and a $29/month Plus plan.

Who is the closest competitor to Surge AI for expert datasets?

Mercor, Snorkel AI and Toloka all sell expert-built, licensable post-training datasets and RL environments.

Can I get exclusive data instead of a shared catalog?

Yes, through custom builds. Snorkel, Toloka and Appen describe their catalog products as non-exclusive, so negotiate exclusivity separately.

← Back to the ranked list · Alternatives to Scale AI · How to choose

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