Autonosis Get outcomes right.
Know why.
Decisions you can trust, from data you can't.
Examples
Pick one, or let it play. Each asks what is true and what would change it, and the answer shows its reasoning.
01Query
02Reasoning
03Answer
Use cases
One pattern, applied wherever a decision has to be made from messy evidence. Each card is a decision we have helped someone make: the outcome it serves, and the reason behind it.
Disaster response
Is this street passable? Storm photos read for debris, water and damage.
- outcome
- A crew sent where it can get through.
- know why
- Debris, not water, is the blocker.
Threat assessment
Is this compound active? Overhead frames read for vehicles, movement and supplies.
- outcome
- Attention on the route, not the compound.
- know why
- Resupply depends on a single bridge.
COVID-19 triage
A conversational agent gathers symptoms; a causal model makes the diagnosis.
- outcome
- Faster triage with a consistent call.
- know why
- Each symptom’s weight is visible.
Autism Q&A
Answers grounded in trusted scientific sources by retrieval-augmented generation, not the open web.
- outcome
- An answer a parent can act on.
- know why
- Every claim cites its source.
Skin lesion triage
A phone photo plus the patient’s answers: refer or reassure.
- outcome
- The right people get seen first.
- know why
- What was seen, what was said, what’s unknown.
Defect inspection
Is the flagged board really defective, and what would fixing the process save?
- outcome
- Fewer rejects, fixed at the source.
- know why
- Scratches, not missing parts, drive rejects.
Hardware configuration
A budget-aware PC build from real compatibility and pricing data.
- outcome
- A build that fits and works first time.
- know why
- Every part traces to a constraint.
Crop disease
What a leaf photo shows, and how far it has spread.
- outcome
- Treatment where it’s needed, early.
- know why
- Spot pattern and extent, not a guess.
Land cover
What a satellite patch is: crop, forest, industrial, residential.
- outcome
- Maps a planner can defend.
- know why
- The features the model keyed on.
Capabilities
Every example runs through the same five stages. Watch one pass through, and what it takes at each step.
About Us
Autonosis starts from the outcome. We agree on the result that matters, then build the systems that help your people reach it: finding the right knowledge, making better calls and catching problems early. We have done this in healthcare, public safety, manufacturing and consumer technology.
Our Approach
Our team spans research, data science, software engineering and domain expertise. We choose methods to fit the problem, not the other way around, and we judge our work by what changes for the people it serves.
We believe the best systems make people more capable, not less necessary. That is intelligence amplification: human judgment stays in charge, and our tools extend what it can reach. We hold that work to a high bar. It has to be ethical, accessible and good for society.
- Knowledge discovery.
- Triage and prediction.
- Inspection and optimization.
We don't measure our work by the technology we ship. We measure it by the outcomes it makes possible: better-informed decisions, earlier answers and services that include everyone. Join us in engineering them.
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