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Data for
frontier
AI

Data for
frontier
AI

The custom data engine for frontier models, agents, multimodal systems, and physical AI.

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Built for AI leaders

OpenFinLab designs, collects, annotates,
validates, and evaluates the data behind
frontier AI systems

OpenFinLab builds the data behind frontier AI systems

Not a one-off dataset — a managed engine spanning the full model lifecycle, where every evaluation feeds the next data cycle.

Explore the data engine
06

Data product lines

14

Data modalities covered

08

Steps in the data engine

05

Layers of QA on delivery

100%

Customer-owned data

08

Industry solutions

Data Products

Six product lines spanning alignment, agents, multimodal, speech, physical AI, and evaluation

FrontierAlignment

CoT reasoning, SME RLHF, SFT demonstrations, DPO data, and red teaming for frontier model post-training.

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Signal

RLHF · DPO

Experts

STEM · Law · Med

Stage

Post-training

Agentic AIData

Golden trajectories, tool-use logs, RL environments, and workflow simulations for agents that ship.

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Data

Golden trajectories

Environments

RL · Tool-use

Metric

Task success

MultimodalAI Data

Image-text data, video understanding, document AI, and cross-modal alignment at production quality.

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Modalities

Image · Video · Doc

Tasks

VQA · OCR

QA

Cross-modal

Speech &Audio

ASR, TTS, expressive speech, diarization, emotion, accents and dialects — with consent and privacy built in.

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Tasks

ASR · TTS

Coverage

Accents · Locales

Privacy

Consent · PII

Physical AI& Robotics

Robot demonstrations, teleoperation, RGB-D, LiDAR, sensor fusion, and embodied trajectories.

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Sensors

RGB-D · LiDAR

Formats

MCAP · ROS bag

Sync

Timestamp-aligned

ModelIntegrity

Private benchmarks, hallucination evaluation, safety red teaming, bias and compliance audits.

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Evals

Private benchmarks

Audits

Safety · Bias

Output

Risk reports

  • Frontier Alignment

  • Agentic AI Data

  • Multimodal AI Data

  • Speech & Audio Data

  • Physical AI & Robotics Data

  • Model Integrity & Evaluation

Case Studies

Programs delivered for AI teams in production, across alignment, agents, multimodal, and physical AI.

Foundation Models

Scaling Expert Reasoning Data for Frontier Model Alignment

Expert reasoning and preference data for domain-specific model alignment — 40+ qualified SMEs producing calibrated CoT and preference labels across STEM and finance.

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Enterprise AI

Policy-Driven Task Environments for Enterprise Agent Evaluation

Policy-driven task environments and failure taxonomies for enterprise agents — executable evaluation suites covering tool use, recovery behavior, and escalation accuracy.

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Foundation Models

A Production Multimodal Pipeline for Document and Video Understanding

Image, video, document, and text annotations for multimodal model training and evaluation — one calibrated pipeline across four modalities with cross-modal QA.

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Robotics

Synchronized Multi-Sensor Episodes for Embodied AI Training

Synchronized sensor data workflows for embodied AI training and validation — teleoperation episodes with RGB-D, force, and kinematics aligned to a common clock.

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