RADZLE SYSTEMS / AI ENABLEMENT × INFRASTRUCTURE / SINCE 2025

FROM COMPUTE TO PRODUCTION

Infrastructure, AI engineering, compliance and security for companies building with intelligence.

Radzle helps technology companies access compute and cloud resources, architect and build AI systems, prepare for certification and regulatory requirements, and secure the final production environment.

BUILD WITH RADZLE EXPLORE THE STACK

THE RADZLE JOURNEY / IN ORDER

ACCESS
BUILD
SCALE
COMPLY
SECURE

Radzle is an AI enablement and technology infrastructure partner. We take companies from “we want to build with AI” to “we are production ready”, covering compute, engineering, compliance and security along the way.

LAYER 01 / COMPUTE & CLOUD ACCESS

GREAT AI STARTS
WITH COMPUTE

Before a model runs, someone has to pay for the GPUs. Radzle helps technology companies identify, qualify for, apply to and navigate cloud, compute and infrastructure programs: credits, startup programs, GPU access, partnerships and ecosystem incentives.

We navigate the process. Program acceptance is always decided by the provider, and access is never guaranteed.

IDENTIFYMATCHQUALIFYAPPLYCONNECTOPTIMIZE
CLOUD CREDITSSTARTUP CLOUD PROGRAMSCOMPUTE CREDITSGPU ACCESSAI INFRASTRUCTURE PROGRAMSDEVELOPER PROGRAMSTECHNICAL GRANTSRESEARCH COMPUTE PROGRAMSINFRASTRUCTURE PARTNERSHIPSECOSYSTEM PROGRAMSWEB3 INFRASTRUCTURE PROGRAMSCOMPUTE TOKEN OPPORTUNITIESSTARTUP INCENTIVESPARTNER INTRODUCTIONSCLOUD PROVIDER PROGRAMSINFRASTRUCTURE SPONSORSHIPSGPU PROVIDER SELECTIONCOMPUTE PROCUREMENTCLOUD COST STRATEGY
RESOURCE NETWORK / LIVE ANALYZING...
CLOUD PROVIDERSGPU PROVIDERSSTARTUP PROGRAMSAI ECOSYSTEMSRESEARCH PROGRAMSTECHNOLOGY PARTNERSACCELERATORSINFRA NETWORKSECOSYSTEM INCENTIVES AI COMPANY
COMPANY / ANALYZING
STAGE / SEED
PRODUCT / AI
WORKLOAD / INFERENCE
GPU DEMAND / HIGH
REGION / EUROPE
COMPATIBILITY / SCANNING
POTENTIAL PATHWAYS / 08

LAYER 02 / AI CONSULTING & ENGINEERING

TURN AI
INTO INFRASTRUCTURE

We help companies determine where AI creates real value, how the system should be architected, what models and infrastructure it requires, and how it should integrate into existing operations.

Decide where AI creates real value before anything gets built.

OPPORTUNITY DISCOVERYAI TRANSFORMATIONPRODUCT STRATEGYTECHNICAL FEASIBILITYARCHITECTURE PLANNINGBUILD VS BUYMODEL STRATEGYINFRASTRUCTURE PLANNINGAI ROADMAPS

Technical advisory across architecture, vendors, models, data and cost.

TECHNICAL ADVISORYAI ARCHITECTUREPRODUCT CONSULTINGIMPLEMENTATION STRATEGYVENDOR SELECTIONMODEL SELECTIONDATA STRATEGYINFRASTRUCTURE STRATEGYCOST MODELING

Autonomous systems that interact with tools, APIs, data and human workflows.

CUSTOM AGENTSAUTONOMOUS WORKFLOWSINTERNAL AGENTSRESEARCH AGENTSOPERATIONS AGENTSSUPPORT AGENTSSALES AGENTSDEVELOPER AGENTSFINANCIAL WORKFLOW AGENTSMULTI-AGENT SYSTEMSHUMAN-IN-THE-LOOP

Replace repetitive operational processes with intelligent workflows.

OPERATIONAL AUTOMATIONBACK OFFICE AUTOMATIONDOCUMENT PROCESSINGDATA EXTRACTIONCLASSIFICATIONAUTOMATED ANALYSISAUTOMATED REPORTINGDECISION SUPPORTWORKFLOW ORCHESTRATIONAPI AUTOMATION

Production-grade systems built around modern language models.

LLM INTEGRATIONRAGVECTOR SEARCHKNOWLEDGE SYSTEMSTOOL CALLINGMODEL ROUTINGPROMPT ARCHITECTURESTRUCTURED OUTPUTSEVALUATIONOBSERVABILITYFINE-TUNING STRATEGYPRIVATE MODELS

FLAGSHIP / RADZLE AI READINESS

ONE ASSESSMENT
THE WHOLE PICTURE

A structured review of everything an AI initiative depends on: business case, data, compute, infrastructure, architecture, cost, compliance and security, with a clear roadmap at the end.

BUSINESS / ANALYZED
DATA / ANALYZED
COMPUTE / MAPPED
INFRASTRUCTURE / ARCHITECTED
AI / DESIGNED
COST / MODELED
COMPLIANCE / MAPPED
SECURITY / REVIEWED
ROADMAP / GENERATED

LAYER 03 / INFRASTRUCTURE & CLOUD ARCHITECTURE

THE MODEL IS ONLY
ONE PART OF THE SYSTEM

C-01

CLOUD ARCHITECTURE

AWSAZUREGOOGLE CLOUDSPECIALIZED GPU INFRAHYBRID CLOUDPRIVATE INFRASTRUCTUREMULTI-CLOUD

C-02

AI INFRASTRUCTURE

GPU WORKLOADSMODEL HOSTINGINFERENCE SYSTEMSTRAINING INFRAVECTOR DATABASESDATA PIPELINESAI APISAGENT INFRASTRUCTUREMODEL GATEWAYSOBSERVABILITYSCALING

C-03

COST OPTIMIZATION

GPU UTILIZATIONCLOUD SPEND ANALYSISINFERENCE COSTMODEL ROUTINGRESERVED CAPACITYCOMPUTE PLANNINGENVIRONMENT OPTIMIZATIONINFRA SCALING

C-04

DATA INFRASTRUCTURE

AI DATA PIPELINESETLDATABASESVECTOR INFRASTRUCTUREDATA WAREHOUSINGKNOWLEDGE ARCHITECTURESECURE DATA ACCESS

LAYER 04 / CERTIFICATION, ISO & REGULATORY COMPLIANCE

BECOME
ENTERPRISE READY

Building the product is only part of the journey. Customers, partners, investors and regulators increasingly require structured governance, security controls, operational processes and responsible AI practices. Radzle helps organizations prepare for those requirements.

ISO/IEC 27001ISO/IEC 42001ISO/IEC 27701SOC 2 READINESSGDPR REQUIREMENTSNIS2 READINESSDORA READINESSPCI DSSAI REGULATORY REQUIREMENTSCUSTOMER SECURITY REQUIREMENTSENTERPRISE PROCUREMENTVENDOR ASSESSMENTS
CERTIFICATION READINESSGAP ANALYSISCONTROL IMPLEMENTATIONAUDIT PREPARATIONDOCUMENTATIONEVIDENCE COLLECTIONREMEDIATIONCERT BODY COORDINATION

Radzle assists through preparation and implementation. The independent certification body performs the actual certification.

CERTIFICATION PATH

01 SCOPE
02 GAP ASSESSMENT
03 CONTROL DESIGN
04 IMPLEMENTATION
05 DOCUMENTATION
06 EVIDENCE
07 INTERNAL REVIEW
08 EXTERNAL AUDIT
09 CERTIFICATION

AI SYSTEMS NEED
GOVERNANCE TOO

Models, agents and the data they touch need the same structure as the rest of the company: inventories, policies, oversight, monitoring and incident processes.

AI GOVERNANCEAI RISK ASSESSMENTSAI INVENTORYMODEL GOVERNANCEAGENT GOVERNANCEDATA GOVERNANCEHUMAN OVERSIGHTAI POLICIESMODEL DOCUMENTATIONTHIRD-PARTY MODEL ASSESSMENTAI VENDOR MANAGEMENTAI USAGE CONTROLSMODEL MONITORINGAI INCIDENT PROCESSESAI RISK REGISTERSCOMPLIANCE MAPPINGRESPONSIBLE AI PROCESSES

PRODUCT READY ≠ ENTERPRISE READY

PRODUCT READY
↓ INFRASTRUCTURE READY
↓ AI READY
↓ DOCUMENTED
↓ CONTROLLED
↓ AUDIT READY
↓ COMPLIANT
↓ SECURITY VERIFIED
↓ ENTERPRISE READY

LAYER 05 / SECURITY & TECHNICAL ASSURANCE / ADVERSARIAL MODE

NOW TRY
TO BREAK IT

Once infrastructure, AI systems and operational controls are in place, Radzle validates the technical environment against real attack scenarios and verifies that everything you have built can survive contact with the real world.

WEB APPLICATION TESTINGAPI PENETRATION TESTINGMOBILE TESTINGNETWORK TESTINGCLOUD PENETRATION TESTING

ARCHITECTURE REVIEWSSOURCE CODE REVIEWSAUTHENTICATION TESTINGAUTHORIZATION TESTINGAPI SECURITYDEPENDENCY RISKTHREAT MODELING

CLOUD SECURITYIAM REVIEWSKUBERNETES SECURITYCONTAINER SECURITYNETWORK SECURITYHARDENINGSECRETS MANAGEMENT

AI RED TEAMINGPROMPT INJECTION TESTINGAGENT SECURITYRAG SECURITYMODEL ACCESS TESTINGDATA LEAKAGE TESTINGLLM APPLICATION TESTINGTOOL PERMISSION TESTINGADVERSARIAL TESTINGMODEL SUPPLY CHAIN
BUILT SYSTEM / UNDER TEST ADVERSARIAL MODE / ARMED
USER INPUTAGENTTOOLSCLOUDDATABASE PROMPT INJECTIONEXCESSIVE PERMISSIONSRAG SOURCE INJECTIONCOMPROMISED IDENTITYDATA EXFILTRATION RADZLE / PATHS TESTED & REPORTED

SECURITY IS
THE PROOF

Architecture tells us how a system should behave. Compliance tells us what controls should exist. Security testing tells us what happens when somebody actively tries to defeat them. Radzle closes the loop.

THE RADZLE STACK / ACCESS ↓ ARCHITECT ↓ BUILD ↓ SCALE ↓ COMPLY ↓ SECURE

ONE STACK
SIX LAYERS

01 /

ACCESS

CLOUD CREDITSCOMPUTE CREDITSGPU RESOURCESINFRASTRUCTURE PROGRAMSTECHNICAL PARTNERSHIPS
02 /

DESIGN

AI STRATEGYARCHITECTURECLOUDDATAINFRASTRUCTURE
03 /

BUILD

AI SYSTEMSAGENTSAUTOMATIONRAGINTEGRATIONS
04 /

SCALE

CLOUD OPTIMIZATIONGPU OPTIMIZATIONPRODUCTION INFRASTRUCTUREOBSERVABILITYRELIABILITY
05 /

COMPLY

ISO READINESSGOVERNANCEPOLICIESCONTROLSDOCUMENTATIONREGULATORY READINESSAUDIT PREPARATION
06 /

SECURE

PENETRATION TESTINGAI RED TEAMINGAPPLICATION SECURITYCLOUD SECURITYINFRASTRUCTURE SECURITYSECURITY VALIDATION

RADZLE / PRODUCTION VERIFIED

CLIENT JOURNEY / 09 STAGES

FROM IDEA
TO PRODUCTION READY

01

DISCOVER

What are you trying to build?

02

RESOURCE

What compute, credits and infrastructure opportunities are available?

03

ARCHITECT

What cloud, data and AI infrastructure is required?

04

BUILD

Implement the AI system and integrations.

05

OPTIMIZE

Improve infrastructure cost, performance and scale.

06

GOVERN

Establish policies, processes and AI governance.

07

COMPLY

Prepare for certification, customer and regulatory requirements.

08

SECURE

Validate the finished environment through technical and adversarial testing.

09

SCALE

Continue supporting the organization as requirements evolve.

RADZLE / SYSTEM INTERFACE

RZ-SHELL v3.0 CONNECTED

WHAT ARE YOU
BUILDING?

Whether you need infrastructure to start, AI expertise to build, compliance to enter enterprise markets, or security validation before production, Radzle connects the entire journey.

I NEED →

BUILD WITH RADZLE [email protected]