Finance
75%
of UK Financial Firms Use AI
Credit algorithms reject applicants with no human-readable rationale - violating trust, fairness, and in many jurisdictions, the law.
Why We Exist
"We believe that any AI making decisions about human lives - a loan, a diagnosis, a job offer - has a fundamental obligation to explain itself. Transparency isn't a feature. It's a right."
At DhiSys, we built XAi because the world's most consequential decisions shouldn't live inside a black box.
Explore the Why
AI systems now influence life-changing outcomes across finance, healthcare, and employment - yet most organisations cannot produce a single coherent explanation for their model's decisions.
Finance
75%
of UK Financial Firms Use AI
Credit algorithms reject applicants with no human-readable rationale - violating trust, fairness, and in many jurisdictions, the law.
Healthcare
5B+
medical imaging exams annually
Diagnostic AI assists physicians in triage, imaging, and risk scoring - yet most clinicians cannot interrogate or audit the underlying reasoning.
Employment
68%
of companies use AI in hiring
Automated CV screening and candidate ranking systems carry hidden biases that disadvantage protected groups - silently, at scale, without accountability.
"The question isn't whether AI should make decisions. It's whether those decisions can ever be trusted without explanation."
- The founding principle behind DhiSys XAi
Hover the fields. Click the verdict. See what was hidden.
Move your cursor to see everything behind it.
weights[0] = 0.847
weights[1] = -0.312
weights[2] = 0.614
The raw weights and activations your model computed. Numbers with no meaning.
DhiSys Explain running simultaneously on every inference.
What most systems show you. The decision without the reasoning.
DhiSys XAi shows you everything behind the output - automatically, in real time.
REST API or Python SDK. Works with TensorFlow, PyTorch, scikit-learn, XGBoost - any framework.
Our engine intercepts each prediction, runs multi-method XAI analysis - DhiSys Explain - and stores a signed, timestamped audit record.
Data scientists see waterfall charts. Compliance officers get regulatory-ready summaries. Customers receive plain-language explanations.
Continuous monitoring detects data drift, concept drift, performance degradation and fairness violations - before regulators do.
Watch a raw AI inference get cryptographically logged and compliance-stamped in real time.
Article 13 transparency requirements automatically satisfied for high-risk AI systems.
Right to explanation for automated decisions - human-readable output on every inference.
Adverse action notices generated automatically for credit and financial decisions.
AI Management System standard - governance controls and risk traceability mapped to every model decision.