Data for
frontier
AI
Data for
frontier
AI
The custom data engine for frontier models, agents, multimodal systems, and physical AI.
The custom data engine for frontier models, agents, multimodal systems, and physical AI.
Not a one-off dataset — a managed engine spanning the full model lifecycle, where every evaluation feeds the next data cycle.
Data product lines
Data modalities covered
Steps in the data engine
Layers of QA on delivery
Customer-owned data
Industry solutions
01
CoT reasoning, SME RLHF, SFT demonstrations, DPO data, and red teaming for frontier model post-training.
Signal
RLHF · DPO
Experts
STEM · Law · Med
Stage
Post-training
02
Golden trajectories, tool-use logs, RL environments, and workflow simulations for agents that ship.
Data
Golden trajectories
Environments
RL · Tool-use
Metric
Task success
03
Image-text data, video understanding, document AI, and cross-modal alignment at production quality.
Modalities
Image · Video · Doc
Tasks
VQA · OCR
QA
Cross-modal
04
ASR, TTS, expressive speech, diarization, emotion, accents and dialects — with consent and privacy built in.
Tasks
ASR · TTS
Coverage
Accents · Locales
Privacy
Consent · PII
05
Robot demonstrations, teleoperation, RGB-D, LiDAR, sensor fusion, and embodied trajectories.
Sensors
RGB-D · LiDAR
Formats
MCAP · ROS bag
Sync
Timestamp-aligned
06
Private benchmarks, hallucination evaluation, safety red teaming, bias and compliance audits.
Evals
Private benchmarks
Audits
Safety · Bias
Output
Risk reports