Knowd Technologies
Knowd homepage

Knowledge connected
to verified outcomes.

The architecture behind the 3xF Crop Intelligence System.

Knowd’s outcome-based learning architecture connects evidence, recommendations, grower decisions, actions and verified outcomes to improve both knowledge and guidance across crop cycles.

3xF integrates AI, crop modelling and sensing technologies with Knowd’s validation and personalised reasoning architecture.

Close the loop.
Carry the learning forward.

Our benchmarking of more than 30 market solutions identified two technical gaps: better connecting observation, recommendation and action (Monitor & Act); and using verified crop outcomes to improve future knowledge and decisions across crop cycles (Learn & Evolve).

3xF is designed to turn fragmented agronomic sources into trusted knowledge and adapt guidance to individual growers’ goals and constraints, while learning from what actually works.

Knowd’s development perspective

Qualitative categories from our market review, not product performance ratings.

Plan & Guide

Crowded

Observe

Established

Detect & Decide

Contested

Act & Mitigate

More limited

Learn & Evolve

Less mature

Crop Intelligence GAP: connecting action and learning

From evidence to guidance.
From outcomes to knowledge.

Crop-intelligence modelling

Connect crop development, environmental conditions and observations to interpret what is happening in a growing space.

Provenance & confidence validation

Keep track of where evidence comes from and assess its reliability before using it to support guidance or future learning.

Multi-objective reasoning

Consider grower goals and competing constraints, including resources, skills, time and the conditions of the crop.

Outcome-based learning

Link recommendations to actual grower decisions, actions and results. Use outcomes that pass validation to refine future knowledge.

Software intelligence.
Real-world evidence.

Natural-language interaction lets growers state goals, explain constraints, challenge recommendations and provide feedback.

USER INTERFACE

3xF Grow

App and dashboard: goals, constraints, personalised plans, photo checks, observations and grower actions.

SOFTWARE LAYER

3xF AI Engine

3xF AI Engine brings together three connected engines to connect knowledge, crop models, evidence and user context through validation and personalised reasoning.

DATA & COMMUNICATIONS

Gateway

Ingest, store, analyse and route data between the grower interface, intelligence layer and connected sources.

SENSING & PERCEPTION

Phone-based + 3xF Smarter Kit

Crop imagery, plant health, climate and soil observations, with field-data filtering and communication.

The 3xF AI Engine

Three Connected Engines. One Shared Foundation.

Intelligence Engine

From data to personalised, actionable knowledge.

  • Knowledge fusion
  • Crop models
  • AI reasoning and recommendations
  • Continuous learning

Production Engine

Turn insight into action in the growing space.

  • Sensing and perception
  • Field-data processing
  • Future automation and control
  • Integration with APIs and machinery

Exchange Engine

A longer-term vision for people, knowledge and opportunities.

  • Community and collaboration
  • Grower networks
  • Market access
  • Resource sharing

Shared data layer

Field observations, environmental context, user feedback and trusted knowledge sources, within a secure, scalable and federated architecture.

Validation and Development

Monitoring outcomes matters.
Shaping the inputs makes the difference.

Learning must earn its place.

3xF brings validated multi-source agronomic knowledge, grower context, real-world crop evidence, user constraints and verified outcomes into one adaptive architecture.

Successful and unsuccessful interventions can improve later decisions when the evidence is sufficiently reliable. Decision quality and the knowledge base can improve across successive crop cycles, seasons and geographies.

The intended result is cumulative knowledge, rather than a static crop database or a series of isolated recommendations.

To maximise each user’s experience, 3xF learns from the inputs behind every growing journey — context, decisions, actions and outcomes. Commercial growers, households, communities, schools and restaurants may grow for very different reasons, and each interaction helps 3xF understand what matters to them.

Your goal might be commercial performance, motivation, exploration, wellbeing, learning or simply the satisfaction of growing. We don’t define the goal. We help you move closer to it.

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