Our Solutions

End-to-end data solution for the AI era. Everyone can be a top-tier AI data researcher.

Our Solution

Research-Driven Custom Datasets

Analogy AI builds the automation layer for data — an end-to-end infrastructure that sources, processes, and selects the best training data through standardized pipelines, not manual labeling.

Text reasoning dataset

Advanced text-based reasoning tasks designed to enhance logical thinking and comprehension capabilities in language models.

Text reasoning dataset

Advanced text-based reasoning tasks designed to enhance logical thinking and comprehension capabilities in language models.

Text reasoning dataset

Advanced text-based reasoning tasks designed to enhance logical thinking and comprehension capabilities in language models.

Multi-modal Reasoning Dataset

Integrated datasets combining text, images, and other modalities to develop cross-modal understanding and reasoning.

Multi-modal Reasoning Dataset

Integrated datasets combining text, images, and other modalities to develop cross-modal understanding and reasoning.

Multi-modal Reasoning Dataset

Integrated datasets combining text, images, and other modalities to develop cross-modal understanding and reasoning.

Coding Dataset

Comprehensive programming datasets covering multiple languages, frameworks, and problem-solving scenarios for code generation models.

Coding Dataset

Comprehensive programming datasets covering multiple languages, frameworks, and problem-solving scenarios for code generation models.

Coding Dataset

Comprehensive programming datasets covering multiple languages, frameworks, and problem-solving scenarios for code generation models.

Agent Dataset

Task-oriented datasets for training autonomous agents with decision-making, planning, and multi-step execution capabilities.

Agent Dataset

Task-oriented datasets for training autonomous agents with decision-making, planning, and multi-step execution capabilities.

Agent Dataset

Task-oriented datasets for training autonomous agents with decision-making, planning, and multi-step execution capabilities.

Domain-Specific Dataset

Specialized datasets tailored to specific industries and domains such as healthcare, finance, legal, and scientific research.

Domain-Specific Dataset

Specialized datasets tailored to specific industries and domains such as healthcare, finance, legal, and scientific research.

Domain-Specific Dataset

Specialized datasets tailored to specific industries and domains such as healthcare, finance, legal, and scientific research.

Custom Dataset as Requested

Fully customized datasets built to your exact specifications, requirements, and use cases for unique research needs.

Custom Dataset as Requested

Fully customized datasets built to your exact specifications, requirements, and use cases for unique research needs.

Custom Dataset as Requested

Fully customized datasets built to your exact specifications, requirements, and use cases for unique research needs.

Our Solution

AI Generation

Expert-in-the-Loop Annotation

Our datasets are enhanced through rigorous expert annotation processes, ensuring high-quality, accurate, and domain-specific data for your AI models.

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Our Solution

AI Generation

Rigorous Evaluation & Benchmarking

A smooth 4-step process to evaluate your model with more granular insights and safety boundry. Will be ready in 2026 Q1.

Expert Benchmarks

Pick a template Pick a template

Comprehensive benchmarks designed to push AI models capabilities to their limits, identifying model strengths and weaknesses under challenging scenarios.

Clean, confident. Sets the foundation with minimal words.

Safety & Alignment Probes

Rigorous evaluation of model safety, ethical alignment, and responsible AI behavior across diverse prompts and scenarios.

Safety & Alignment Probes

Rigorous evaluation of model safety, ethical alignment, and responsible AI behavior across diverse prompts and scenarios.

Safety & Alignment Probes

Rigorous evaluation of model safety, ethical alignment, and responsible AI behavior across diverse prompts and scenarios.

Domain-Specific Assessments

Specialized benchmarks tailored to evaluate performance in specific industries and domains with expert-validated metrics.

Domain-Specific Assessments

Specialized benchmarks tailored to evaluate performance in specific industries and domains with expert-validated metrics.

Human Verification

Critical data samples undergo expert human verification

Robustness & Generalization

Testing model performance across varied conditions, edge cases, and unseen scenarios to ensure reliable generalization.

Robustness & Generalization

Testing model performance across varied conditions, edge cases, and unseen scenarios to ensure reliable generalization.

Robustness & Generalization

Testing model performance across varied conditions, edge cases, and unseen scenarios to ensure reliable generalization.

Our Solution - Coming Soon

End-to-End Data Infrastructure API

Backed by researchers from industry and academia, we publish clean, high-quality datasets created with our latest research methods and the same infra our customers use.
Visit the “Contact” section to explore recent work or contact us for dataset access.

Step 1

Intelligent Data Sourcing

Analogy Sourcing Agent automatically identifies and ranks PhD-level data sources from the web, targeting specific domain and difficulty requirements.

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Step 2

Automated Processing

Analogy Processing Pipeline performs OCR, formatting, deduplication, diversification, balancing, bias mitigation, sample-level evaluation, and data mixing.

def main():
analogyai = AnalogyAI(user_id="user_12934nf93nv", api_key="your_api_key")
job_id = analogyai.submit_job(request_prompt="I want 5000 PhD-level Physics Question-Answering with Rubrics samples for LLM RL-training")
dataset = analogyai.StreamingDataset(job_id=<your_job_id>)
for batch in dataset:
# Your training step
def main():
analogyai = AnalogyAI(user_id="user_12934nf93nv", api_key="your_api_key")
job_id = analogyai.submit_job(request_prompt="I want 5000 PhD-level Physics Question-Answering with Rubrics samples for LLM RL-training")
dataset = analogyai.StreamingDataset(job_id=<your_job_id>)
for batch in dataset:
# Your training step

def main():
analogyai = AnalogyAI(user_id="user_12934nf93nv", api_key="your_api_key")
job_id = analogyai.submit_job(request_prompt="I want 5000 PhD-level Physics Question-Answering with Rubrics samples for LLM RL-training")
dataset = analogyai.StreamingDataset(job_id=<your_job_id>)
for batch in dataset:
# Your training step
def main():
analogyai = AnalogyAI(user_id="user_12934nf93nv", api_key="your_api_key")
job_id = analogyai.submit_job(request_prompt="I want 5000 PhD-level Physics Question-Answering with Rubrics samples for LLM RL-training")
dataset = analogyai.StreamingDataset(job_id=<your_job_id>)
for batch in dataset:
# Your training step

def main():
analogyai = AnalogyAI(user_id="user_12934nf93nv", api_key="your_api_key")
job_id = analogyai.submit_job(request_prompt="I want 5000 PhD-level Physics Question-Answering with Rubrics samples for LLM RL-training")
dataset = analogyai.StreamingDataset(job_id=<your_job_id>)
for batch in dataset:
# Your training step
def main():
analogyai = AnalogyAI(user_id="user_12934nf93nv", api_key="your_api_key")
job_id = analogyai.submit_job(request_prompt="I want 5000 PhD-level Physics Question-Answering with Rubrics samples for LLM RL-training")
dataset = analogyai.StreamingDataset(job_id=<your_job_id>)
for batch in dataset:
# Your training step

Step 3

Expert Human Verification

Critical data samples undergo expert human verification, blending AI automation with specialized domain insight.

Our solution

Your Model

Our solution

Your Model

Our solution

Your Model

Step 4

Data Intelligence Engine

Leveraging model feedback, our frontier research to provide early performance-driven signals for data selection, mixing, augmentation, synthetic generation.

Training Quality

Loss decreased by 15%

Data Diversity

Balanced distribution

Automated Review

Running checks...

Training Quality

Loss decreased by 15%

Data Diversity

Balanced distribution

Automated Review

Running checks...

Training Quality

Loss decreased by 15%

Data Diversity

Balanced distribution

Automated Review

Running checks...

In the compute-rich world ahead, data quality will define intelligence

Request Demo

In the compute-rich world ahead, data quality will define intelligence

Request Demo

In the compute-rich world ahead, data quality will define intelligence

Request Demo