Company task histories can help buyers train and evaluate AI agents on real multi-step work. SHINT explores sourcing these records from authorized owners.
Training environments are a possible buyer use case, not a SHINT product already delivered.
Aligned Export
Linked tickets, approvals, decisions and outcomes show how work actually moves through a company.
Structured Corpus
Every opportunity starts with owner authority, privacy review and a signed licence.
Agent Episodes
Company task histories can help buyers train and evaluate AI agents on real multi-step work. SHINT explores sourcing these records from authorized owners.
Training environments are a possible buyer use case, not a SHINT product already delivered.
Curated Pockets
Linked tickets, approvals, decisions and outcomes show how work actually moves through a company.
Structured Video
Every opportunity starts with owner authority, privacy review and a signed licence.
Expert-Narrated
Company task histories can help buyers train and evaluate AI agents on real multi-step work. SHINT explores sourcing these records from authorized owners.
500K+
hours native action-aligned gameplay
5M+
hours action-labeled real-world video
95%
exclusive, rights-cleared for AI training
7K+
companies in expert network
Training environments are a possible buyer use case, not a SHINT product already delivered.
mise_en_place
recipe phase
knife.dice
technique
1 ingredient
prepped
0.97
Live confidence
Objects & Farming
framing static, ~45deg overhead
Outcome & Skill
mise_en_place
recipe phase
1 ingredient
prepped
knife.dice
technique
0.97
Live confidence
Objects & Farming
Training environments are a possible buyer use case, not a SHINT product already delivered.
Every opportunity starts with owner authority, privacy review and a signed licence.
Company task histories can help buyers train and evaluate AI agents on real multi-step work. SHINT explores sourcing these records from authorized owners.
Step 1
Training environments are a possible buyer use case, not a SHINT product already delivered.
Step 2
Linked tickets, approvals, decisions and outcomes show how work actually moves through a company.
QA & iteration loop across every step
Step 3
Every opportunity starts with owner authority, privacy review and a signed licence.
QA & iteration loop across every step
Step 4
Company task histories can help buyers train and evaluate AI agents on real multi-step work. SHINT explores sourcing these records from authorized owners.
Training environments are a possible buyer use case, not a SHINT product already delivered.
Linked tickets, approvals, decisions and outcomes show how work actually moves through a company.
Every opportunity starts with owner authority, privacy review and a signed licence.
Company task histories can help buyers train and evaluate AI agents on real multi-step work. SHINT explores sourcing these records from authorized owners.
Training environments are a possible buyer use case, not a SHINT product already delivered.
Linked tickets, approvals, decisions and outcomes show how work actually moves through a company.