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Reporting · experiments · carefully applied AI

Turn scattered data into a decision you can defend.

We build reporting, experiments and applied-AI tools that show what is happening, what may happen next and where human judgement belongs. Every number can be traced back to the query that produced it — no black box, and nothing you cannot audit.

Data foundations, reporting, decision support, business automation and carefully applied AI. · Editorial, analytical and calm.

See the evidence ↓

LedgerVault.sol

// Illustrative — not a deployed contract
pragma solidity ^0.8.20;

contract LedgerVault {
    mapping(address => uint256) public balances;

    function deposit() external payable {
        balances[msg.sender] += msg.value;
    }

    function withdraw(uint256 amount) external {
        require(balances[msg.sender] >= amount, "Insufficient");
        balances[msg.sender] -= amount;
        payable(msg.sender).transfer(amount);
    }
}
  • L7 deposit()
  • L11 withdraw — sufficient balance
  • L11 withdraw — insufficient balance
  • L13 transfer call
Illustrative Solidity contract — models the Test amplifier research method, not a live deployment.

The decision layer

Evidence first. Intelligence second. Automation only when it earns trust.

Yvios Intelligence turns unclear data and AI opportunities into decisions a team can inspect. We combine discovery, retrieval, evaluation and human controls so useful intelligence reaches the workflow without becoming a black box.

  1. Ground the question

    We define the decision, the evidence it needs and the cost of being wrong before choosing a model or architecture.

  2. Design the evidence

    We make sources, confidence, gaps and evaluation visible, so an answer can be challenged instead of merely accepted.

  3. Operationalise safely

    We place intelligence inside the real workflow with permissions, review points, monitoring and a clear route back to a human.

Research signal / AI at work

AI earns its place in a workflow when the evidence stays inspectable.

Most AI value shows up inside ordinary work — a support reply drafted, a document read, a case routed — not in a chat window. The largest field study of assistants at work found real average gains, and something more useful: the benefit landed hardest on the least experienced staff. That spread is the argument for evaluation, review points and automation you can switch off.

Evidence-bench model

5068%

visible coverage

We build the retrieval, the evaluation set and the escalation path together — so an AI workflow can be audited, and automated only where it has earned it.

Research context is not a forecast for another workflow. A Yvios engagement defines its own baseline, evaluation set and acceptable error cost before anything is automated.

What Intelligence builds

Decision support that stays reviewable.

  • Data foundations

    One trusted place for numbers that already exist — definitions, joins and quality, not a new silo.

  • Reporting & dashboards

    The same question, answered the same way, every week — without rebuilding the file.

  • Experiments & comparisons

    See which option is working before you scale it, with a comparison the team can inspect.

  • Applied checks & automation

    The next step happens when the data says it should — with a trail you can inspect.

AI is used when it adds measurable value — never as a label for everything on the page.

Actual Intelligence directions in the current Yvios project

Evidence, clearly framed. No synthetic case-study theatre.

Status and ownership come from the case registry. Generic analytics photography is not used as proof.

  • Live client systemClient owned · Built by Yvios

    Store recommendation comparison dashboard

    Challenge
    A store could not tell which recommendation option earned more from the data they already had.
    Built
    A data store for transactions and products, A/B comparisons, and an interactive view of those metrics.
    Status
    Delivered as client work. We do not have a product-owned screenshot in this repository.
    Outcome
    The store could inspect which option performed better over time, including seasonal patterns — according to the written record.
    Evidence
    Project notes only. The generic analytics tablet photo on file is not used as proof.
    Read the case →
  • ResearchYvios research · Not a commercial product

    Test amplifier for smart contracts

    Challenge
    Smart-contract teams needed broader coverage without writing every case by hand.
    Built
    A research method that combines generated tests with search-based refinement for Solidity contracts.
    Status
    Research. Not a commercial product and not listed as a Yvios-owned product.
    Outcome
    The approach can widen a test suite and plug into existing developer pipelines. It remains research.
    Evidence
    Method and coverage notes in the case record. No product interface photograph.
    Try the coverage bench →Read the case →
See all work →

How a decision becomes defensible

  1. 01 / Understand

    Name the sources

    Files, tools and events that already exist — kept in their place, labelled clearly, with an owner.

  2. 02 / Anticipate

    Surface what is missing

    Gaps, weak signals and untested paths — visible before anyone commits to a rollout.

  3. 03 / Act

    Decide with a trail

    A comparison, a report or an automated check — with confidence, review owner and status on record.

Human judgement stays in the room.

Useful intelligence is understandable, reviewable and designed around the people accountable for the outcome.

  • Source clarity01
  • Human review02
  • Privacy by design03
  • Measured iteration04

When Intelligence is not the whole answer

Adjacent work has a clear door.

Intelligence clarifies the picture. Running the daily operation or proving hardware still belongs elsewhere.

  • Not the system of record

    If the daily work itself needs a platform, portal or reservation flow, that is Systems.

    Yvios Systems →

  • Not field hardware

    If a sensor, drone or headset must be proven in the real world first, that is Labs.

    Yvios Labs →

Start with the decision

Bring us one decision that needs better evidence.

Start a project ↗