Field Intelligence

Every season should teach the next.

Keep your farm's memory, understand practical guidance, and make better-informed decisions with FildraAI.

FieldGuide helps you act. FieldState helps your farm remember.

Why this matters

Important farm decisions deserve memory, reasoning, and respect.

Field decisions happen under pressure: weak signal, changing weather, unclear symptoms, limited money, and real consequences. Farming in the dark (forgetting last season, acting on advice without reasons) is the gap FildraAI is built to close.

Understand crop problems

Use photos and field notes to make visible symptoms easier to explain and act on.

Keep farm memory

Save diagnoses, tasks, costs, observations, and follow-ups as a working record.

Use local context

Connect guidance to crop stage, location, weather pressure, and the farm history already recorded.

Track field logs

Turn daily farm activity into structured notes that are easier to review later.

Support language access

Let farmers start from voice or plain language when typing is slow or impractical.

Ground diagnosis in research

Build from crop-specific disease research and show evidence where the product can support it.

Who Fildra is for

Built for the people closest to the decision.

FildraAI is shaped for smallholder farmers across Africa and Asia first, then for the people who support them. Every feature is tested against whether it actually helps in the field, not whether it looks good in a dashboard.

Smallholder farmers

Farming maize, rice, vegetables, mixed crops, and livestock on phones with weak signal and limited time. The product is shaped around your reality first.

Farm owners and managers

Running multi-plot operations or remote farms. You need farm memory and accountability that works across workers, seasons, and decisions.

Agronomists and extension reviewers

Giving advice that farmers act on. You need explainable, inspectable AI output you can trust before passing it along.

How the system works

FieldGuide, FieldState, and FieldVision work as one farm workflow.

Each part of Fildra has a clear job: guide the next decision, preserve the farm record, and explain visual evidence when images are used.

Operating record Available now

FieldGuide

Guides the farmer through the next decision, using the field situation and recorded context.

FieldState

Keeps the farm memory alive between visits, seasons, tasks, and follow-up questions.

FieldVision

Reads crop images and explains what visual evidence the model noticed.

Input
Photo, voice, note, crop, location, or field update.
Context
Farm history, crop stage, known issues, and local conditions.
Output
A next step and a saved record that can improve the next decision.
The Field Series

What Fildra brings to the field.

Crop diagnosis, farm memory, and regional context, connected into one working farm record.

01
FieldGuide Guides the next field decision using crop stage, local conditions, and the farm record.
02
FieldState Keeps the farm memory alive between visits, seasons, tasks, and follow-up questions.
03
FieldVision Image-supported diagnosis with explainable visual evidence.
FieldState farm memory screen

The farm record keeps decisions, open tasks, observations, and follow-ups visible after the first answer is gone.

Why farm memory matters

The next answer should know what happened last time.

A one-off answer disappears. A record compounds into practical operating memory for field work.

Less repetition

Farmers should not need to explain the same crop, issue, or treatment history every time.

Better follow-up

Open tasks, costs, diagnoses, and observations stay visible until the farm resolves them.

More accountable guidance

Advice becomes easier to review when the evidence and previous decisions are part of the record.

Built for real farming conditions

The product has to work where farm decisions actually happen.

Smallholder farmer in the field Fieldwork collage with crops and farm activity Harvested maize loaded for transport Goat herd on a farm Rice fields under field conditions

Mobile first

Fildra is designed to be readable and useful on a phone first, where most field decisions actually happen.

Low-connectivity aware

Field work continues when signal is weak, and the record should still make sense when the user returns.

Honest about limits

Fildra shows what it knows, what it used, and where a farmer or agronomist should still verify.

What you get when you join

Early access is not a marketing list.

Joining early interest gives you a real seat at the table while we shape FieldGuide and FieldState for your region, crop, and field reality.

Early product access

Try FieldGuide and FieldState before public release, and use them on your own farm or with the farmers you work with.

Direct feedback channel

Talk to the people building the product. Tell us what is confusing, what is missing, and what is wrong for your context.

Founding contributor recognition

Shape which crops, regions, languages, and decisions we support next. We will credit you, with permission, when your input ships.

Try it now

Show Fildra what is happening on the farm.

Start with the practical slice: describe the field problem, get a useful next step, and keep a record the farm can use next time.