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The Hybrid AI Platform Under Argivio

A complete, operated AI stack inside your own cloud account: a policy check on every request, private models for client data, managed models where they help, retrieval over your policies, evaluation gates, and the observability to prove it all works.

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Hybrid AI: Private Where It Matters, Managed Where It Helps

Hybrid AI is the core of Argivio. Every request passes a policy check before any model sees it. Transaction, client and risk data runs on LLMs on GPUs in your own cloud, with no per-token fees. Work with no client data, such as tracking new regulation or market research, can use Claude or GPT, billed per token for that share only. When in doubt, it stays private.

Battery of LLMs GPU Claude / GPT API

A RequestFrom an analyst or workflow

Policy CheckClient data?

Private Where It MattersLLMs on GPUs in your own cloud

Managed Where It HelpsPer token, public work only

One AnswerLower cost per answer

Sovereign Where It Matters

Client, transaction and risk-model data is handled only by open-source models you control. When in doubt, a request stays private.

Frontier Capability Where It Helps

Managed models such as Claude, GPT or Grok track new regulation and market research without ever seeing an account. You pay per token only for this share of the work.

The Right-Sized Model for Each Task

Most alerts are handled by small, fast models. Large models are reserved for complex investigations that need them.

What goes where: the policy check routes each task, and you can tighten any line
TaskRouteWhat the model sees
Fraud alert triagePrivate AICard and payment transactions, device and customer data
AML case summaries and SAR/STR draftsPrivate AICustomer identities, transaction chains, investigator notes
KYC and beneficial-ownership reviewPrivate AIIdentity documents, registry extracts, ownership structures
Credit memos and risk scoringPrivate AIFinancial statements, exposures and your proprietary risk models
Explainability packs for auditorsPrivate AIModel inputs, scores and decisions on real cases
Regulatory change trackingManaged AIPublic texts from supervisors and standard setters
Market and sector researchManaged AIPublished reports, filings and news, never your positions
General drafting from public sourcesManaged AITemplates and public material, formatted privately in your house style

Everything Under the Hood, Built for Financial Risk Work

A complete hybrid AI stack, operated for you. Each capability runs where it belongs: private for client data, managed where public sources help.

Battery of LLMs

Several large models on call, each chosen per task, so no single model or vendor limits your work.

Private + Managed

Small Language Models

Fast, efficient SLMs handle most alerts first, keeping each answer quick and low-cost at transaction volume.

Private

Fine-Tuned Models

Models tuned on your typologies, case outcomes and memo templates, so drafts read like your team wrote them.

Private

Agentic Case Assembly

Supervised agents gather the alert, KYC file, prior alerts and linked accounts into one case, with an analyst approving each outcome.

Private + Managed

Transaction Pattern Analysis

Sequence and network analysis over your own transactions surfaces mule networks and structuring, next to your existing risk models.

Private

Regulatory and Market Research

New rules, supervisory guidance and market research, read from public sources and kept current.

Managed

Structured Citations

Every answer cites its source to the policy, section or transaction, with observation kept separate from interpretation.

Private + Managed

Purpose-Built Document Parsing

Bank statements, annual accounts, registry extracts and ID documents read accurately, with low-quality pages flagged for review.

Private

Score Explainability

Plain-language reasons for every risk score and alert, written to your model documentation standard for validators and auditors.

Private

Policy Check, Audit Trails and Four-Eyes Access

Governance built in from day one, the way banks already work.

Private
  • Client-Data Policy CheckEvery request is checked before any model sees it. Anything involving client, account or transaction data, or where the check is unsure, stays private.
  • Audit TrailsEvery request, source, route, score and approval is logged in your account, ready for compliance, model risk, internal audit and supervisors.
  • Role-Based and Four-Eyes AccessAnalysts, investigators, credit officers and business users see only what their role allows, with second approval where your policy requires it.

Private runs in your cloudManaged public sources onlyPrivate + Managed routed per request

  • Your Knowledge
  • Hybrid AI
  • Your Analysts Approve

Not a Prototype. Argivio Runs on XePlatform.

XePlatform is our production AI operations platform, already running private and managed AI side by side inside customers’ own cloud accounts. Underneath is platform engineering on Kubernetes: a wide ecosystem of interconnected open-source tools for model serving, scaling, observability and security, integrated, tested and operated as one platform. Argivio is the financial-services product built on it, so the engineering underneath is proven before your first pilot begins.

See the Platform About XePlatform Akasiio for Hospitals Arvocatus for Law Firms
Kubernetes-Native Platform EngineeringIntegrated Open-Source EcosystemInfrastructure ProvisioningStaged Releases with RollbackObservability for AI and InfrastructureGPU Autoscaling and Backup

Financial AI Without the Build Project

Building hybrid AI for risk and compliance yourself means hiring a team, building a platform and passing third-party and model risk reviews before a single analyst benefits. With Argivio, you skip straight to the part that matters: your analysts using it.

Hours, Not Months

Your private environment is running in hours, while a build-it-yourself project typically spends its first months on hiring and infrastructure. A supervised pilot with your analysts follows within weeks.

No Hiring Race

No AI engineers, MLOps specialists or GPU experts to recruit in one of the tightest talent markets. Your IT team stays focused on the systems it already runs.

No New on-Call Rota

Upgrades, monitoring, scaling, security patches and model releases are handled around the clock. No infrastructure for your team to babysit.

Build it yourself
Hire the teamBuild the platformIntegrate modelsBuild evaluationSecurity reviewPilot
With Argivio
Set upKnowledgePilotLive

Illustrative comparison of typical phases. Your timeline depends on scope and your own review processes.

Hybrid AI That Costs Less as You Grow

Every AI workload has a break-even point. Below it, paying per token is cheaper; above it, owned capacity wins. Risk work scales with every transaction, so most of it crosses that line early. Argivio puts each workload on the right side of the line, and moves it when it crosses.

Pay-per-use AI: cost rises with every request Private AI you build and staff yourself Argivio hybrid: engineered to stay lean

Illustrative. Monthly cost (vertical) against monthly usage (horizontal); dots mark each break-even point.

Where the Savings Come From

  • Small Models FirstMost requests never reach the most expensive models.
  • Capacity That Follows Your Day and Batch WindowsComputing scales with trading hours, overnight batch runs and month-end peaks, so you do not pay for idle hardware.
  • Shared HardwareSeveral models and tasks share the same processors instead of each needing their own.
  • No Platform Team on Your PayrollWe run the engineering that would otherwise need a dedicated team.
  • Managed AI Only Where It PaysPer-token spend is limited to the tasks that need it, under a monthly cap. Client-data work carries no per-token fee.

At very low volumes, pay-per-use can be cheaper. Our break-even calculator shows where your institution sits. Cost is one reason for hybrid AI, not the only one: client confidentiality and banking secrecy often justify private AI before the numbers do.

From Introduction to a Supervised Pilot

Start with one workflow, often one alert queue. Your compliance, model risk and security teams review in parallel, with documentation we supply.

  1. Set Up

    Hours

    Argivio is installed in your cloud account or data centre, in the region you choose, in Europe or North America.

  2. Add Your Knowledge

    Days

    Policies, typologies, playbooks and templates are indexed, each source traceable. You choose which tasks may use managed AI.

  3. Pilot with Your Analysts

    About four weeks

    Analysts use Argivio on real alerts and cases, in parallel with today’s process, and rate every answer.

  4. Go Live

    When your standard is met

    The configuration your analysts and model risk team approved goes live. Rolling back takes one step.

See the Platform on Your Own Workflow

We’ll walk your engineering, security and risk teams through the architecture, then set it up in your own account for a supervised pilot.

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