Ground Truth.Ag
AI NativeAutomated grain grading from farm to destination. Get full quality results anywhere in the supply chain with one system.
Est 2021|Raised $7.5M
MarketsQuality Assurance
Published Jun 25, 2026
| Typical use case | Automating grading workflow with combined MV + NIRS to support supply-chain standardization | Portable spot checks for protein/moisture; on-farm screening | Established lab/industrial NIR workflows for standardized quality measurement |
| Starting Price | Not publicly listed (quote-based; typically a one-time purchase plus annual fees) | Published retail pricing available from vendor and retail channels (public retail examples have been observed) | Not consistently public; often quote-based for industrial instruments |
| Key strength | Combines visual defect detection and NIR-based non-visual analysis in one benchtop workflow | Low barrier to entry and portability; relatively clear retail pricing channels | Mature vendor ecosystem with long-term service networks and recognized calibration libraries |
| Key limitation | Limited public, third-party benchmarks and limited publicly documented enterprise security/certification information | Narrower scope (primarily quality metrics such as protein/moisture) and unlikely to replace full grading workflows | Higher capital and service costs; may not directly address kernel-level visual defect quantification |
Established analyzers (FOSS/Perten) often win on:
Handheld NIR devices (e.g., GrainSense) can win on:
Ground Truth Ag’s differentiators as presented by the vendor include: