Truth Before Growth

Vriksh Vani Source of Truth

The single canonical reference for every Vriksh Vani claim. Each statement carries an explicit status so you always know what is established science, what is being tested, and what remains a future vision.

VERIFIED: 4VALIDATED: 2TESTING: 0HYPOTHESIS: 3CONCEPT: 4TARGET: 7VISION: 3

23 canonical claims registered across 6 categories.

Brand Truth

3 claims

Vriksh Vani means "Voice of Trees" in Hindi.

VERIFIED

Linguistic fact.

Last reviewed: Aug 2026

Vriksh Vani is pioneering Nature Intelligence as a category.

CONCEPT

Category positioning. No existing market category named "Nature Intelligence" exists.

Last reviewed: Aug 2026

The master tagline is "Let Your Plants Speak."

VERIFIED

Brand governance document.

Last reviewed: Aug 2026

Scientific Truth

5 claims

Foliar transpiration causes evaporative cooling of leaf surfaces.

VERIFIED

Established energy balance physics. Monteith-Unsworth (2013).

Last reviewed: Aug 2026

VPD governs transpiration rate in most vascular plants.

VERIFIED

Established plant physiology. Ranges are species-dependent.

Last reviewed: Aug 2026

Leaf thermal delta can indicate pre-wilting stomatal stress.

HYPOTHESIS

Research Note #001 illustrative model. Physical FLIR trial pending.

Last reviewed: Aug 2026

BME688 MOX gas resistance shifts correlate with root zone moisture.

HYPOTHESIS

Research Note #003 methodology draft. Experiment pending Phase 05.

Last reviewed: Aug 2026

Boundary-layer micro-airflow affects stomatal conductance.

HYPOTHESIS

Research Note #002. Literature-supported but VV-specific data pending.

Last reviewed: Aug 2026

Technical Truth

6 claims

NIH-01 targets FLIR Lepton 3.5 (160x120) as the thermal sensor.

TARGET

Product specification. FLIR hardware not yet physically integrated.

Last reviewed: Aug 2026

ESP32-S3 achieves 38ms INT8 TinyML inference.

VALIDATED

Lab Journal LOG-001. Benchtop verified on DevKit.

Last reviewed: Aug 2026

BME688 is the target gas resistance sensor.

TARGET

Candidate hardware. Baseline drift characterization in progress.

Last reviewed: Aug 2026

SHT41 provides ambient T/RH compensation.

TARGET

Candidate hardware for BME688 environmental compensation.

Last reviewed: Aug 2026

NTE (Nature Translation Engine) produces natural language from sensor data.

CONCEPT

Architecture design. No trained TTS or NLP model deployed.

Last reviewed: Aug 2026

NIOS is a 6-stage sense-to-care intelligence pipeline.

CONCEPT

Conceptual operating model architecture.

Last reviewed: Aug 2026

Product Truth

4 claims

NIH-01 is the first Nature Intelligence hardware concept.

CONCEPT

No physical prototype assembled. Target architecture defined.

Last reviewed: Aug 2026

NIH-01 uses a kiln-fired ceramic shell (stoneware, 1250C).

VALIDATED

Lab Journal LOG-002. Zero-porosity vitrification confirmed on test tiles.

Last reviewed: Aug 2026

NIH-01 contains no RGB cameras. Privacy by design.

TARGET

Architectural commitment. LWIR thermal only.

Last reviewed: Aug 2026

All sensor data processed locally. No cloud dependency.

TARGET

Architecture target. ESP32-S3 local inference design.

Last reviewed: Aug 2026

Legal & Privacy Truth

2 claims

Frame buffers stored in volatile SRAM only. Overwritten immediately.

TARGET

Architecture commitment. Hardware not yet assembled.

Last reviewed: Aug 2026

No continuous room video or audio recording.

TARGET

Architecture commitment. No RGB sensor in NIH-01 design.

Last reviewed: Aug 2026

Vision Truth

3 claims

Nature Intelligence can eventually apply to ecosystems beyond individual plants.

VISION

Long-term strategic direction. No current technical capability.

Last reviewed: Aug 2026

Community-contributed observations can improve Nature Intelligence models.

VISION

Future data flywheel architecture. Requires deployed hardware.

Last reviewed: Aug 2026

Nature Intelligence OS (NIOS) can become a platform for third-party research.

VISION

Long-term platform strategy. Requires mature product.

Last reviewed: Aug 2026