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8 alternatives · updated Sep 2026

The best Defined.ai alternatives in 2026

8 tools that do the job Defined.ai does. Each one is measured against Defined.ai on price, free plan and our rating, so you can see what you gain by switching.

Shortlist by what you need

Start here if you know why you are leaving Defined.ai.

  1. Want the closest match?

    Dataloop

    Most similar to Defined.ai in what it does, its category and its price.

    Visit (opens Dataloop in a new tab)
  2. Need a free plan?

    Activeloop

    Has a free plan, rated 4.1 out of 5. Defined.ai has none.

    Visit (opens Activeloop in a new tab)
  3. Want the lowest price?

    Plivo

    From $0.03/mo, the lowest starting price here.

    Visit (opens Plivo in a new tab)
  4. Want the best rated?

    Surge AI

    Rated 4.3 out of 5 in our review, against 3.6 for Defined.ai.

    Visit (opens Surge AI in a new tab)

At a glance

Green means better than Defined.ai, red means worse. Prices are starting prices per month.

ToolOur ratingStarts atFree planBest forCompare
Defined.aiBaseline3.6Not listedNoThe world's largest ethically-sourced AI data marketplace - trusted by Adobe, Amazon, Google, Meta, and OpenAI, custom data collection across 150+ countries and 500+ languages.
Dataloop3.8+0.2Not listedNoFoundation-model integration, RLHF/RLAIF, and RAG workflows in one platform - claimed 20x faster AI development, trusted by NVIDIA, Ford, and Microsoft.vs Defined.ai
Surge AI4.3+0.7Not listedNoReached $1B+ ARR bootstrapped, with zero venture funding until mid-2025vs Defined.ai
syntheticAIdata3.6SameNot listedNoGenerates synthetic training data for computer vision, for the cases where collecting and labelling real images is impractical.vs Defined.ai
DatologyAI3.9+0.3Not listedNoAutomated data curation that strips redundant or harmful examples out of AI training datasets before a model ever sees them.vs Defined.ai
Plivo4.3+0.7$0.03/moNoCommunications platform for building voice AI agents on carrier-grade telephony, with a no-code agent studio, programmable agents for LiveKit and Pipecat, AI noise cancellation, turn detection and automatic simulations.vs Defined.ai
SKY ENGINE AI3.9+0.3Not listedNoSynthetic data generation for training computer vision models at scale.vs Defined.ai
Activeloop4.1+0.5$40/moYesDefined.ai has noneDatabase built for AI workloads that stores and streams multimodal training data, embeddings, images, video, and text, at scale.vs Defined.ai
Datavolo3.6SameNot listedNoCloud-native, Apache NiFi-based pipelines that move and prepare multimodal data for generative AI applications.vs Defined.ai

The alternatives in detail

In order of how closely each one matches Defined.ai.

  1. Dataloop

    3.8Not listed

    vs Defined.ai+0.2

    Foundation-model integration, RLHF/RLAIF, and RAG workflows in one platform - claimed 20x faster AI development, trusted by NVIDIA, Ford, and Microsoft.

    • Foundation model / GenAI integration and model management
    • RLHF/RLAIF - reinforcement learning from human/AI feedback
    • RAG (retrieval-augmented generation) workflow support

    Combines data labeling, model management, and RLHF/RAG in one platform

    No published pricing - requires a demo or consultation

  2. Surge AI

    4.3Not listed

    vs Defined.ai+0.7

    Reached $1B+ ARR bootstrapped, with zero venture funding until mid-2025.

    • Data annotation and reinforcement learning from human feedback for AI training
    • Network of roughly 50,000 expert contributors worldwide
    • Reached $1.2B in annualized revenue entirely bootstrapped, no funding until 2025

    Trusted by nearly every major frontier AI lab for training data quality

    Quote-based pricing requires a sales conversation, no published self-serve rates

  3. syntheticAIdata

    3.6Not listed

    vs Defined.aiSame

    Generates synthetic training data for computer vision, for the cases where collecting and labelling real images is impractical.

    • Synthetic image datasets for computer vision training
    • Pre-labelled output with no annotation cost
    • Generation of rare and hard-to-capture cases

    Covers rare events that cannot practically be photographed

    Domain gap - synthetic-trained models can underperform on real images

  4. DatologyAI

    3.9Not listed

    vs Defined.ai+0.3

    Automated data curation that strips redundant or harmful examples out of AI training datasets before a model ever sees them.

    • Modality-agnostic data curation across text, image, and other data types
    • Label-free algorithms for identifying redundant or harmful training examples
    • Designed to cut training compute cost for a given model quality target

    Research pedigree (Meta AI, DeepMind, MosaicML alumni, award-winning papers) backs the technical claims

    No published pricing, and the sales-led model suits large labs more than small teams

  5. Plivo

    4.3$0.03/mo

    vs Defined.ai+0.7

    Communications platform for building voice AI agents on carrier-grade telephony, with a no-code agent studio, programmable agents for LiveKit and Pipecat, AI noise cancellation, turn detection and automatic simulations.

    • No-code AI Agent studio with prompt-based setup
    • Programmable agents on LiveKit, Pipecat or Plivo voice APIs
    • AI noise cancellation and smart turn detection

    Telephony and agent tooling from one provider

    Telephony is billed on top of the agent rate

  6. SKY ENGINE AI

    3.9Not listed

    vs Defined.ai+0.3

    Synthetic data generation for training computer vision models at scale.

    • Synthetic image generation with exact labels by construction
    • Deliberate generation of rare and edge-case scenarios
    • Cloud platform for scaling data generation

    Exact labels eliminate annotation error entirely

    Domain gap means synthetic data usually supplements rather than replaces real data

  7. Activeloop

    4.1$40/mo

    vs Defined.ai+0.5Free plan

    Database built for AI workloads that stores and streams multimodal training data, embeddings, images, video, and text, at scale.

    • Open-core database purpose-built for multimodal AI training data
    • Built-in dataset versioning and visualization
    • Streaming access to public and private datasets for model training

    Open-source core (Deep Lake) lets teams self-host and inspect the code

    Free tier's 3 queries/day and 100MB storage cap suit only small experiments

  8. Datavolo

    3.6Not listed

    vs Defined.aiSame

    Cloud-native, Apache NiFi-based pipelines that move and prepare multimodal data for generative AI applications.

    • Natural-language-to-dataflow generation built on Apache NiFi
    • Multimodal data support spanning text, image, audio, and video sources
    • Pipeline observability and governance tooling for AI data flows

    Founding team's Apache NiFi pedigree brings real production data-pipeline expertise

    November 2024 Snowflake acquisition creates real uncertainty about Datavolo's future as a standalone, independently purchasable product

FAQ

Questions people ask

Is Defined.ai free?

Defined.ai does not list a free plan. Check its pricing page for current plans.

What is the best free alternative to Defined.ai?

Activeloop is the highest-rated alternative here with a free plan (4.1 out of 5).

What is the cheapest alternative to Defined.ai?

Among paid plans, Plivo has the lowest starting price (from $0.03/mo). If you need it free, start with Activeloop.

How did you pick these alternatives?

We match tools on what they do, their category and their price, using the details in our directory. Ratings come from our reviews and reader reviews.