Investigate faster.
Defend every decision.
Cut compliance costs 70%. Catch what humans miss.
Mizan AI is the compliance investigation workspace that screens names the way Gulf regulators actually think — transliteration-aware matching, explainable risk scores, and an agent that writes its own reasoning trace, so your file is regulator-ready before you are.
Exact-match screening misses the names that matter.
The same person, six spellings — and six different "people" to a naive matcher. Meanwhile generic-vocabulary collisions bury real risk in noise. Both failures are structural, not operational.
Weigh every name — mīzān means balance.
Mizan (ميزان) canonicalises before it compares, guards against vocabulary artefacts, and writes down how every score was weighed — in plain language, in the file. No black boxes, no noise, no surprises.
One workspace, from first hit to filed report
Everything between a suspicious transfer and a defensible disposition — screening, investigation, reporting — in a single ledger-clean interface.
Name intelligence that speaks Gulf Arabic
Canonicalises transliterations (Mohammad → Muhammad), strips diacritics, ignores corporate noise — then scores with Jaro–Winkler and token-set matching, guarded by a distinctiveness test.
similarity 0.97 · alias match
Composite scores, factor by factor
Name, DOB, nationality, jurisdiction and behaviour combine into one 0–100 score with five bands — every factor's contribution itemised, every score reproducible from the same inputs.
five bands · CRITICAL → MINIMAL
The agent writes its own reasoning trace
Mizan's investigation agent reads the file the way a senior analyst would — and leaves a plain-language record of every step: what it normalised, which list it matched, which behavioural pattern it saw, and why it recommends a disposition. That trace is your audit trail.
AGENT RISK_SCORED — composite 78 · HIGH
AGENT DISPOSITION_RECOMMENDED — escalate to MLRO
[ANALYST] PENDING_HUMAN_REVIEW — agent never files autonomously
Behavioural patterns, not just names
Beyond watchlists: structuring below thresholds, round-value bias, rapid pass-through, counterparty concentration, dormancy spikes and profile deviation — each a named, inspectable signal in the trace.
patterns read together · never a black-box flag
Queue, dossier, disposition
A risk-ranked alert queue; a dossier with score dial, factor breakdown, transaction timeline and reasoning trace; and one-click dispositions: close, request info, escalate to MLRO, file STR, freeze.
Regulator-ready output
Filing narratives drafted by the agent, goAML-shaped XML export, and a complete event log. What you file is what the agent reasoned — nothing hidden, nothing invented.
From data to disposition in four moves
Connect your data
Transactions, counterparties, customers — via API, SFTP batch or direct file upload. Internal descriptors are filtered at ingestion, not screened.
Mizan reads every name
Names are normalised, matched against your watchlist stack (OFAC, UN, EU, UK, PEP, adverse media, your own lists) and scored with the full factor model.
The agent builds the file
The investigation agent assembles the dossier, runs the reasoning trace and recommends a disposition. Humans review; the agent never files autonomously.
File with confidence
Export the narrative, the trace and the evidence in goAML-compatible XML — or keep the full audit trail in the case file for the examiner.
What compliance teams say
We cut our alert queue from 2,300 to 640 a month. The distinctiveness guard alone removed an entire class of nonsense hits. The trace is what sold our MLRO — and later, the regulator.
Our examiner asked how we could defend a cleared case. We opened the file and showed the trace: normalisation, similarity, DOB mismatch, done. She closed her notebook.
The agent's reasoning trace turned our STR files from an afternoon's work into twenty minutes. It drafts the narrative from evidence it actually used. That's a different product category.
Simple plans. Serious screening.
Start free for 14 days. No card, no procurement theatre — production data the moment you're ready.
For teams finding their feet
Core screening for small compliance teams and early fintechs.
- 1,000 screenings / month
- 1 analyst seat
- OFAC · UN · EU · UK watchlists
- Agent reasoning trace
For serious volumes
Full detection stack, API access and multi-seat teams.
- 25,000 screenings / month
- 5 analyst seats
- PEP & adverse-media screening
- Behavioural pattern detection
- API · goAML XML export
For institutions under the lens
Private deployment, custom lists, dedicated programme.
- Unlimited screenings & seats
- SSO / SAML · private cloud or on-premises
- Your watchlists & typologies
- 99.9% SLA · dedicated CSM
Every plan includes a 14-day free trial. Prices in USD, excluding VAT. Compare plans in full →
Questions, answered
What watchlists does Mizan screen against? +
How is Mizan different from a generic fuzzy-match tool? +
Can the agent make decisions without a human? +
How do we export filings to our regulator? +
Where does our data live? +
What does implementation actually look like? +
Put your queue on trial.
Sign up, upload a file, and see what your alert queue looks like when it stops shouting about "Falcon Trading LLC" and starts finding the pattern underneath.