01
No risk signals
Behaviour consistent with the customer profile, no signals from typologies, in a class approved by your AMLRO. Clara closes the alert on its own, with a rationale, and a second person checks randomly selected closures.
Available now in Early Access: due diligence on corporate customers
In development: Clara. We are looking for a pilot bank.
Alerts with reasons.
Decisions with evidence.
Trim Alert is an application for banks and other obliged entities. In it, Clara puts the alert queue from your AML system in order, and agents gather facts about customers from registries and the media within minutes.
Automation only where there are no risk signals. People decide the rest.
Early Access by invitation, indicative results, no SLA.
01 — Problem
An alert takes a second. Explaining it doesn’t.
11,071suspicious transaction reports reached Poland’s FIU (GIIF) in 2025 — 36% more than a year earlier (GIIF annual report for 2025).
Every alertfrom 10 July 2027 must have a record of its assessment: information, circumstances and outcome — even when it does not end in a report (Art. 77(1)(b) AMLR).
No backlogfrom alert to closure — without undue delay, with the backlog under control. That’s what AMLA’s draft guidelines on ongoing monitoring expect (paras 75–76), issued under AMLR, which applies from 10 July 2027.
„There’s no shortage of data. There’s a shortage of interpretation. More data means more alerts — we deliver a ready assessment.”
The volume keeps growing. The AMLA draft guidelines on ongoing monitoring allow alerts to be closed automatically, but only when they carry no risk signals, never for a higher-risk customer, and only if a person regularly checks randomly selected closed alerts (paras 78–79). The rest need due diligence — often through a thicket of tangled information: registries, media, the web, connections, conclusions. That’s hours of analyst time and a fixed line in the compliance budget — time and money that could be working on what really matters. And what matters keeps piling up: above all, suspected money laundering, plus new regulations, inspections and risk assessments.
02 — Clara
First, order in the alerts
Clara works inside the Trim Alert application and puts the alert queue from your AML system in order. It assesses each alert against the customer profile, typologies and data completeness: it closes some on its own and prepares the rest for the analyst. Clara is in development — we are looking for a pilot bank.
We do not replace your AML system. Clara works on the alerts it already generates. It closes alerts without risk signals on its own, only in classes approved by your AMLRO, with a rationale, and a second person checks randomly selected closures. People decide the rest.
02
Customer case for approval
Clara combines a customer’s alerts into one case, even when your systems record the customer under several different identifiers, so the analyst sees the whole picture. It checks the payment description, amount and counterparty on every alert and compares the case with the customer profile. The analyst approves the outcome or passes selected alerts on for separate assessment.
03
For in-depth analysis
Mismatch with the profile, risk signals, missing data or no profile, a new currency or a different payment description. Doubt means escalation: the alert goes to the right person, who decides whether to bring in Trim Alert agents.
04
Urgent
Sanctions, PEPs, a higher-risk customer or a typology pattern, e.g. many customers paying into one new account. Straight to the right person; they never close on their own. This is where Trim Alert agents help most: they gather the relevant facts fast when time is short.
How Clara works with your system
Alert batch
Alerts from your AML system arrive in the Trim Alert application in batches, e.g. every hour.
Result a queue to put in order
Clara
Sorts alerts into four groups, ranks them by urgency and writes a rationale for each. It closes alerts without risk signals on its own.
Result an ordered queue in the application
Analyst
Decides the remaining alerts in the Trim Alert application, starting with the most urgent. Agents help with the analysis, and Clara drafts the rationale; the analyst approves or edits it.
Result a decision with a rationale
Your system
Receives the decision rationale — also when Clara closed the alert — and records it with every alert.
Result a record with every alert (Art. 77(1)(b) AMLR)
For every alert Clara shows a direction (towards a report, towards closure or “cannot be assessed”), facts with source and date, and a rationale. The result is calculated by code from explicit rules and typologies, so it can be explained and reproduced.
The AMLRO approves the alert classes Clara closes on its own. The analyst decides the rest.
Two models: on your premises or in the cloud, in a dedicated, isolated environment. In the on-premises model alert data never leave the bank.
03 — Agents
The analyst is not left alone with a difficult case
The analyst decides whether and when to bring in Trim Alert agents. The registry, media, sanctions and credibility agents help them gather the relevant facts fast — above all for important and urgent alerts, when time is short. Each gives facts with sources and shows what could not be checked. A bank can also use them without Clara.
Registry agent
Early Access KRS · CRBR · VAT white list
Full KRS extract, beneficial owners from the CRBR and VAT status from the white list — based on the VAT ID, including former board members and shareholders. Signals from the KRS: changes of management and name, corporate shareholders, higher-risk PKD activity codes.
Result registry data with retrieval date, within minutes
Media agent
Early Access Adverse media · PL and EN
Adverse information about the entity, also under former names, and about beneficial owners and board members. Every item found comes with a relevance score.
Result hits with a link and publication date, or a clear “no hits”
Sanctions agent
In development EU · UN · OFAC · MSWiA
For those who want to cross-check their own screening and for those who have none. The entity, beneficial owners and related persons on four lists, including the Polish MSWiA list, plus control and ownership above 50%, individually or collectively (Art. 20(1)(d) AMLR).
Result hits and ownership links for the analyst to assess
Credibility agent
Planned Customer and counterparty · operations and finances
Whether and where the customer or counterparty actually operates, in which markets, what its financial statements show, and which facts explain or offset risk factors.
Result facts about the business with sources, noting what could not be confirmed
Every agent records its sources and shows what could not be checked. Agents only receive data identifying the entity, e.g. the VAT ID — no transaction data. The bank switches each agent on separately.
One case: from alerts to a decision
Illustrative example: three alerts on one company from different scenarios.
Alerts
Within one week the bank’s AML system raises three alerts on the same company: many incoming payments from different people, quick onward transfers and cash withdrawals.
Result Three alerts from different scenarios
Clara
Combines them into one case and sees a typology pattern in them together: a pass-through account. Marks the case as urgent and routes it to the right person.
Result Urgent case with the analyst
Agents
The analyst brings them in, and within minutes they check registries, media and whether the company actually operates. They show what could not be checked.
Result Facts with source and date
Analyst
Assesses the case in the Trim Alert application. Clara drafts the rationale from the agents’ facts, and the analyst escalates the case to the AMLRO or closes it.
Result Rationale recorded in your system
Available today: due diligence for an alert in minutes
Running in Early Access for companies in the KRS. The analyst enters the VAT ID and the alert reason; the application gathers data from the KRS, the CRBR, the VAT white list and the media, and code builds a five-level assessment.
- 1The analyst enters the VAT ID, the alert reason and — optionally — what the institution already knows, e.g. related persons.
- 2The system runs the due diligence: registries, ownership structure, beneficial owners, media.
- 3Code builds the risk score, and the system records the analysis: who, when, what result and on what basis.
- 4The analyst gets the full picture: the score, key factors, sources of findings and a recommendation. The decision is theirs.
The result is a report with a five-level risk assessment, from low to critical, and a score from 0 to 100. It lists the key factors with reasons and the source of every finding: for media, a link to the article with publication and retrieval dates; for the KRS and CRBR, the registry and data date. It ends with a recommendation for the analyst.
The analyst always makes the decision.
Typical analysis time: a few minutes.
LOW
MEDIUM
ELEVATED
HIGH
CRITICAL
0score100
Due diligence for an alert is available today in Early Access.
For analysts at banks and other obliged entities. Access by invitation, free of charge.
Periodic reviews of corporate customers. The registry and media agents check a list of corporate customers in the KRS, the CRBR and the media and flag discrepancies with the bank’s data, ownership changes and media signals. A review covers the whole portfolio or a batch, e.g. 100 corporate customers. From 10 July 2027, data on higher-risk customers must be updated at least once a year, on others every 5 years and after a change in circumstances (Art. 26(2)–(3) AMLR), and a discrepancy with the beneficial ownership register must be reported within 14 days (Art. 24(1)).
04 — AML basics
Accountants, estate agents and dealers: AML with evidence for inspections
For accounting firms, real estate agents and premium car dealers: AML from the ground up, checks on your customers and the Trim Alert application. Each can be taken separately.
Accounting firms
Already an obliged entity today; under AMLR as external accountants. From 10 July 2027 customer data must be updated at least once a year for higher risk, every 5 years for others and after a significant change in circumstances.
AMLR, Art. 3(3)(a) and 26(2)–(3)
Real estate agents
Already an obliged entity today. AMLR requires checking both parties to a transaction and covers lettings with a monthly rent of EUR 10,000 or more. A non-EU company must register its beneficial owner before buying property.
AMLR, Art. 3(3)(d), 19(6)(c) and 67(1)(b)
Premium car dealers
From 10 July 2027 an obliged entity when regularly trading cars worth more than EUR 250,000. Due diligence covers the buyer and the car’s supplier, and a sale of EUR 250,000 or more for non-commercial use must be reported to GIIF.
AMLR, Art. 3(3)(f), 19(6)(a), 74(1) and Annex IV
AML basics
A review of what you have: obligations, risk assessment, procedure. Then we fill the gaps at the scale of your business: roles, a procedure with document templates, reports to GIIF and record keeping. For dealers we start with a scope test. Role-based training on request.
Result documentation, an evidence file and a decision log for inspections
Let’s talk →Checking your customers
We check a batch of your corporate customers, e.g. all current ones, and return findings for each: registries, beneficial owner, media and risk assessment.
Scope today companies in the KRS
Ask about a check →Trim Alert application
Check a corporate customer in minutes: KRS, CRBR, media and a five-level risk assessment, with sources and a record of the analysis.
Scope today companies in the KRS. Individuals and sole proprietors: procedure and templates from us. Sanctions: in development.
Join Early Access →05 — Expert services
Your AML system works. The question is whether it works as it should.
We check whether your monitoring system works as it should: whether scenarios and thresholds cover the institution’s risks and whether the data reach the system. Conclusions and recommendations are always formulated by Agnieszka and Grzegorz.
Does it meet the standards?
We map monitoring scenarios against the risks from the institution’s risk assessment and assess the vendor’s default settings.
Does it work as required?
We rebuild the rules, test thresholds on data from one period and check that every record reaches the system.
Outcome
A report with assessed findings, a map of how scenarios cover risks, threshold test tables and a findings log with owner, deadline and status.
When
When implementing or changing a tool, after a material change of logic — and periodically. From 10 July 2027 AMLR provides for an independent audit function that tests policies, procedures and controls, or a test commissioned from an external expert (Art. 9(2)(b)).
We will align the assessment of ongoing monitoring with the final AMLA guidelines on ongoing monitoring, announced for Q4 2026.
Let’s talk about an auditIndependence you can show your supervisor. Our audit report describes problems and their consequences, but does not recommend any products, including ours. We recommend thresholds and rules; the bank approves them (Art. 18(3)(f) AMLR). We do not audit a system we helped change.
Other services
AMLR changes in the system
We translate AMLR changes into system requirements: fields, rules and deadlines, e.g. a record of the assessment for every alert, including those closed without a report (Art. 77(1)(b)).
Result vendor specification, test scenarios and acceptance protocol
System owner and IT · by 10 July 2027
Data for the new GIIF system
Mapping fields from your systems to the new GIIF system and a completeness test on data from recent months.
Result field map, gap list and IT requirements
Deadline: 1 April 2027 under the draft amendment to the AML Act
Sanctions screening test
A test in your test environment: name variants, Polish transliteration of Cyrillic, matching thresholds and how quickly new list entries are loaded.
Result names the system lets through, and threshold recommendations
EBA Guidelines EBA/GL/2024/15: review at least once a year
Sanctions for exporters and importers
Training and a procedure review, a sanctions check of a batch of counterparties, e.g. 100, and from January 2027 counterparty checks in the tool. The draft Act on restrictive measures provides for fines of up to PLN 20 million.
Result an evidence file for each counterparty
Tool: in development, pilots from January 2027
Also on request: AMLR readiness (gaps and action plan), a quality review of closed cases before a supervisory inspection, and training — for AML, IT and audit teams or by role.
In our expert services we work with agents
The source review agent prepares AML Radar, and the validation agent and data quality agent help Agnieszka with analysis, audits and reviews. Conclusions and recommendations are always formulated by Agnieszka and Grzegorz.
Read AML Radar →
Source review agent
Live 230+ sources · 25 languages
Regulations, supervisory positions and sanctions in the EU, EEA, Switzerland, the UK and the US, plus FATF and MONEYVAL publications. It keeps our analyses and audits based on the current state of the law.
Result an AML Radar issue, checked by an expert before publication
Validation agent
Live Monitoring rules and thresholds
Supports the validation of monitoring models during a system audit: rebuilds the rules and tests thresholds on data from one period.
Result threshold test tables for the audit report
Data quality agent
Live Source systems · AML system
Reconciles source data with data in the AML system: checks whether every record reaches the system and whether the same customer is recorded under several different identifiers, scattering their transactions and alerts.
Result a data map with reconciliation results
The source review agent uses public sources; the validation agent and the data quality agent work on data the institution provides for analysis or audit.
06 — Why us
Why Trim Alert?
A team without barriers and design decisions you will appreciate on inspection day.
No interpreter needed between AML, legal and IT
AML, IT and legal often speak different languages. Here, one team turns regulations into working software.
Agnieszka Czaja — AML and compliance. Grzegorz Czaja — IT, data and AI.
Tailored to Polish obliged entities
Designed from the ground up for the Polish AML Act and AMLR, as well as GDPR, DORA and the AI Act, taking into account the guidelines and positions of the EBA, AMLA, KNF and GIIF and FATF standards.
KRS, CRBR and the MSWiA list; typologies from the national risk assessment and GIIF, MONEYVAL and FATF reports.
The AMLRO sets the limits of automation
Clara closes only alerts without risk signals, in classes approved by the AMLRO. People decide the rest.
In due diligence the analyst always decides.
Code builds the score, not the model
Aggregation, weights and limits are computed deterministically in code. Where the model proposes a partial score, code puts hard limits on it.
Validated on a steadily growing set of test scenarios.
A record of the analysis
Every media finding comes with a link to the article, its publication date and retrieval date; for KRS and CRBR — with the register and the date of the data.
In the database: who, when, what result and on what basis.
Reproducible results
The same alert and the same versions of rules, typologies and settings give the same result — even years later.
For inspections: results with version and sources.
Two deployment models
The application with Clara runs on your premises or in the cloud, in a dedicated, isolated environment. In the on-premises model alert data never leave the bank.
Agents only receive data identifying the entity, e.g. the VAT ID.
The AMLRO approves changes
Clara does not learn from your decisions. We propose changes to the settings and the AMLRO approves them — with version, author and reason.
Starting settings with a rationale for every threshold.
One application: in the cloud or on your premises.
Trim Alert with Clara and agents — for banks and other obliged entities.
In the cloud
A dedicated, isolated and secured environment for your institution in Microsoft Azure. Data are stored in the Poland Central region. You can try due diligence today in Early Access.
Join Early Access →On your premises
The application with Clara in the bank’s infrastructure: alert data never leave the bank. In development — let’s talk about a pilot now.
Let’s talk about a pilot →Agents only receive data identifying the entity, e.g. the VAT ID — no transaction data. In the on-premises model Clara’s alert data never leave the bank.
07 — Scope and plan
Scope today and plan
We are at the start. Honestly: what works, what we are building and what we plan.
TodayLive
Application, AML Radar and services
Application in Early Access for companies in the KRS: registry agent, media agent and five-level risk assessment. AML Radar: 230+ sources in 25 languages. Expert services with the validation agent and data quality agent.
Invite-only SaaS, up to 50 users
Building nowIn development
Clara and the sanctions agent
Clara in the application: ordering the alert queue, pilot with the first bank. Sanctions agent: EU, UN, OFAC and MSWiA sanctions lists, plus control and ownership above 50%.
Counterparty sanctions checks: pilots from January 2027
NextPlanned
Credibility agent
Whether and where the customer or counterparty actually operates, what its financial statements show and which facts explain or offset risk factors.
The order of further work depends on the Clara pilot and Early Access results.
Security and compliance — designed in, not bolted on.
In a regulated sector, compliance with the law is a precondition for any cooperation. That is why we design Trim Alert from the start for the Polish AML Act and AMLR, GDPR and DORA, and the expectations of the EBA, AMLA, KNF, GIIF and FATF — for banks and other obliged entities.
For the AMLRO
A record of the analysis with every alert: who, when, what result and on what basis. Due diligence never closes anything on its own. Clara closes only alerts without risk signals, in classes approved by the AMLRO. The bank decides on escalation and reports.
For the CISO
The application with Clara runs on your premises or in a dedicated, isolated Microsoft Azure environment: data in the Poland Central region, a private network, databases unreachable from the internet, keys in Azure Key Vault and an access log — who, when, what, from which address and in which role.
08 — Who it’s for
Who it’s for
We tailor the scope to the institution’s size and obligations. Pricing is always individual.
Larger banks
Trim Alert application with Clara
Order in the alert queue, faster in-depth analysis, a system and data audit, a screening test and a review of a batch of alerts or corporate customers. Due diligence for alerts already in Early Access.
Cooperative banks and financial institutions
Ready for 10 July 2027
A monitoring system and data audit, a screening test, data for the new GIIF system, a review of corporate customers and the Trim Alert application, with Clara for the alert queue. AMLR readiness and training on request.
Accounting firms, real estate, dealers
AML basics
Obligations, risk assessment and procedure at the scale of your business, checks on your corporate customers and the Trim Alert application. For dealers, a scope test: does AMLR apply to you?
Exporters and importers
Sanctions in trade
Training and a procedure review, a sanctions check of a batch of counterparties with an evidence file, and from January 2027 pilots of counterparty checks in the tool.
Pricing depends on size and scope.
In Early Access the application is free — for banks and other obliged entities, by invitation, without an SLA. Clara: pilot with the first bank.
Clara pilot: it assesses the same alerts as the analysts
Until go-live Clara does not influence the analysts’ decisions, and we compare the results. We agree the criteria it must meet with the AMLRO before the start.
What we measure
Misses: alerts escalated by analysts must be flagged by Clara as urgent or towards a report.
Agreement with the analysts’ decisions.
How many alerts analysts pass on for separate assessment.
Queue handling time and clarity of rationales.
What you get
A report of the measurements on your alerts.
A diagnosis of scenarios against typologies.
A description of the settings with a rationale for the supervisor.
An indication of which alert classes Clara could close on its own. The decision is yours.
What we need from you
Alerts and decisions from one period.
A description of scenarios and thresholds.
The AMLRO, 1–2 analysts and the scenario owner.
IT and security approval.
We are looking for a pilot bank. Book a 30-minute call — no obligations.
We respond within one business day: contact@trimalert.com
We test ourselves on the hard cases
We compare the system’s results with an AML expert’s assessment on a test set — from obvious false positives to straw-man structures and high-risk jurisdictions. The set grows with every new case; we’ll publish the numbers once the full measurement is ready.
The golden dataset is an internal test set used to validate the pipeline before launch. Golden dataset results do not guarantee production outcomes for all company types and alerts.
09 — Team
A startup that thinks like a bank
We built AML systems inside financial institutions and went through GIIF and KNF inspections ourselves. That’s why we address the real needs of AML analysts, not assumptions about them.
AML needs are hard to translate into software. We can do it because we know them from the inside.
Who you’ll be talking to
Agnieszka Czaja
COO / Chief Compliance Officer
- AML expert — translates regulations into technical requirements
- 20+ years in AML, compliance & financial crime prevention
- Personally went through GIIF and KNF inspections
- AML Lead at KIR — STIR, SINF, SCU AML systems
- Ex-AML Lead at PKO BP — 3rd AML Directive implementation
Grzegorz Czaja
CEO / CTO
- Translates compliance requirements into modern software
- 20+ years in IT, Data & AI in banking and insurance
- Product architecture, AI pipeline, tech strategy
- Technology Advisory Manager at Elitmind
- Ex-CTO at DataScience House, Ex-Banking Data Manager at Santander CIB
Our unicorn
A rare combination
In startups, a unicorn is a valuation. Ours is a combination of roles: 20+ years in AML and compliance and 20+ years in IT, data and AI — at one table, no interpreter needed.
Looking for a partner
Let’s build Trim Alert together
One bank that wants to develop Trim Alert with us — on its own alerts, for its own risk profile — will give us the most. We offer that opportunity now, in the pilot.
We’re not chasing investors — but if you share our belief and energy, we’d be glad to talk.
The 6S canvas
Six checkpoints on the road to a decision
This is how we run Clara and our agents: each has an answer to six questions, and a person decides what an agent may resolve on its own.
S1 · Source
Source
What a person brings, and what an agent can’t replace.
S2 · Success
Success
What “done” looks like — concrete enough for someone else to recognise it.
S3 · Safety
Safety
What must never go wrong, and who is accountable if it does.
S4 · Steering
Steering
Who decides what: where the agent ends and the person begins.
S5 · Switch
Switch
When a person takes over immediately.
S6 · Sharpen
Sharpen
How we turn mistakes into better work.
The 6S canvas: P. Bornet et al., “The Human-Agent Orchestrator” (2026), as developed by Grzegorz Czaja.
10 — FAQ
Frequently asked questions
Clara
Does Clara close alerts?+
Yes, but only alerts without risk signals, in classes approved by your AMLRO, with a rationale for every alert, and a second person checks randomly selected closures. People decide customer cases for approval, cases with risk signals and doubtful ones, and urgent alerts never close on their own. The pilot shows which classes qualify. The decision is the bank’s.
Do alert data leave the bank?+
In the on-premises model — no. In the cloud model we process alerts on your behalf, in a dedicated, isolated Microsoft Azure environment, under a contract: data are stored in the Poland Central region. Agents always receive only data identifying the entity, e.g. the VAT ID.
Does Clara learn from our decisions?+
No. We propose changes to the settings and the AMLRO approves them — each with version, author and reason. This way every result can be explained and reproduced.
When will Clara be available?+
We are building Clara now. The first deployment is a pilot with one bank: Clara assesses the same alerts as the analysts and does not influence their decisions until go-live. We agree the timeline together.
What is needed for a Clara pilot?+
Alerts and decisions from one period, a description of scenarios and thresholds, time from the AMLRO, 1–2 analysts and the scenario owner, and IT and security approval. In the on-premises model alert data never leave the bank.
Trim Alert application
What is the Trim Alert application?+
The Trim Alert application (Trim Alert AI Assistant) is our application for banks and other obliged entities. Today, in Early Access, it runs due diligence based on the VAT ID: it checks registries, ownership structure, beneficial owners and media, and the analyst receives a risk assessment built by code, with sources and a record of the analysis — within minutes. We are building Clara into the application to put the alert queue in order.
What data does the application analyse?+
In Early Access the application gathers data from the KRS (full extract, including former board members and shareholders), the CRBR, the VAT white list and media in Polish and English. The sanctions agent is in development, and the customer and counterparty credibility agent is planned.
How long does analysing one entity take?+
A typical analysis takes a few minutes.
Does the application replace the AML analyst?+
No. The analyst always decides cases with risk signals. Clara closes only alerts without risk signals, in classes approved by the AMLRO, and due diligence recommendations await the analyst’s approval.
What is deterministic scoring?+
Code builds the final score: weights, thresholds and overrides live in the algorithm, not in a prompt. The model proposes the agents’ partial scores, and code applies deterministic limits so they can’t inflate the final result.
Which entities can I analyse?+
Today the application checks entities in the KRS — commercial companies. For individuals, sole proprietors and civil-law partnerships we provide a procedure and templates.
What if I disagree with the risk assessment?+
The analyst always has the final say: the alert awaits their decision — approval or escalation.
How are you different from existing screening systems?+
Existing systems rely on matching names against lists — Trim Alert AI runs automated due diligence: corporate registries, media, ownership structures. Analysis in minutes instead of hours.
Security & compliance
Can I run the system in my bank’s infrastructure?+
Yes — the application with Clara runs on your premises or in the cloud, in a dedicated, isolated environment. Today, Early Access runs in the cloud.
What does the audit trail look like?+
We record the analysis in the database: who, when, what result and on what basis.
Commercial
How much does it cost?+
Participation in the Early Access Programme is free of charge and by invitation only. Pricing for the commercial version is set individually — it depends on the scale and the deployment mode.
Is there a trial version?+
Yes — the invite-only Early Access programme: 10 free analyses a month.
What does a Clara pilot look like?+
Clara assesses the same alerts as the analysts and does not influence their decisions until go-live, and we compare the results: misses, agreement with the analysts’ decisions and queue handling time. We agree the criteria with the AMLRO before the start. The pilot also shows which alert classes Clara could close on its own — the decision is the bank’s.
How do I move from EA to the commercial version?+
Terms are agreed individually after participation in the Programme ends. Early Access does not oblige either party to enter into a commercial agreement.
Does a retry count toward the alert limit?+
No — retries don’t count toward the limit. If an analysis fails for technical reasons, you can retry without losing your quota.
SaaS vs Enterprise
What’s the difference between SaaS and Bank Mode?+
The same set of collaborating AI agents; different deployment configuration, authorization and data location.
Can I start with SaaS and switch to Bank Mode?+
Yes, you can start with the application in the cloud. We deploy Clara on your premises or in the cloud, in a dedicated, isolated environment.
Join Early Access
For banks and other obliged entities. Be among the first users. Access by invitation, up to 50 places.
Let’s talk
A question about deployment, a pilot or a demo? Write to us — we’ll reply within one business day.
You can also write directly: contact@trimalert.com