Catch a crop problem before it spreads
Start from the field: a photo of the leaf, a voice note, or a symptom that cannot wait, and get a clear read on what you are seeing.
Field Intelligence
Know what worked in your field before starting a new season.
FildraAI remembers what happens on your farm: your crops, your livestock, the problems you hit, and what actually worked. Your next season starts with your own history behind you, not from zero.
Every season should teach the next.
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.
Never lose what you did and what it cost
Keep diagnoses, treatments, local practices, costs, and follow-ups tied to the field, not scattered across notebooks and chats.
Get guidance that fits your field, not a textbook
Guidance uses your crop stage, location, weather pressure, and field history before suggesting a next step, and shows its limits.
Know the money and the work were real
Turn worker updates, expenses, livestock events, and crop actions into a record you can check later.
Start by speaking, in your own language
Field work is not a typing environment. Begin from voice or plain language when typing is slow or impractical.
Tell verified advice from local practice, clearly
Verified guidance, your farm's memory, and farmer-reported local practices stay labeled, never mixed together.
Why you can trust it
Trust is the whole point. We do not ask you to take our word for it.
A farmer should never have to trust a black box with their season. So FildraAI shows its reasoning, points to real research, and keeps your record yours.
Built on published research
Our maize disease model was developed through formal computer-vision research and published with IEEE. We point to the work; we do not hide behind it.
Guidance that shows its reasoning
Every answer explains why, and says what it is unsure about. FildraAI surfaces what it sees; you make the decision for your field.
Your farm record stays yours
We are clear about what we store and for how long. Your history stays available to you, and we never present AI as the final authority on your field.
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
One loop. Two core tools.
FieldGuide helps farmers decide what to do. FieldState remembers what happened. Together, they turn field work into trusted farm intelligence.
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.
- 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.
Maize block by the road
Updated today
What's happened this season
Last 5 moments
Today
Checked the lower leaves, looking better
2 days ago
Treated rust on the south rows
8 days ago
Top-dressed with urea
12 days ago
First yellow spots showed up
16 days ago
Planted after the first long rains
Next season starts with what we learned this season, not from zero.
The farm record keeps decisions, open tasks, observations, and follow-ups visible after the first answer is gone.
Why farm memory matters
Remember what happened. Understand what matters. Decide with confidence.
Farms make valuable memory every day: feed bought, eggs down, harvest stored, money spent. But too much of it is lost before it can help. FildraAI captures what happened naturally, so the next decision starts with your own history behind it.
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.
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.