SOFTWARE / STRATEGY / SYSTEMS
ENDE
FOUNDER-LED. ARCHITECTURE-DRIVEN.

Software for
an AI-native,
agentic future.

RottAgentiX builds and transforms software products — combining senior technology leadership with AI-assisted engineering.

Discuss your projectExplore our capabilities
ROTTAGENTIX / PRODUCT EVOLUTION
01BUILDFrom idea to production
02MODERNIZELegacy to AI-Native
03LEADDirection to delivery
HUMAN JUDGMENT + AI-ASSISTED ENGINEERING
Built around outcomes. Delivered in work packages.JAVA / SPRING / AWS / AI & AGENTS
01 / CAPABILITIES

Three ways to move
your product forward.

01 / BUILD

Start with
what comes next.

New products and platforms, AI-native and agentic by design.

Explore Build02 / MODERNIZE

Make the existing
future-ready.

Transform legacy systems into AI-enabled products with a foundation that lasts.

Explore Modernize03 / LEAD

Give technology
a clear direction.

Hands-on CTO and architecture leadership, from strategic choices to execution.

Explore Lead
ENGAGEMENTS / ENTRY POINTS

Four ways to start.

Start with an assessment, shape a new product, commission a defined outcome or bring senior leadership into your team.

01

AI & Modernization Assessment

For existing products and legacy systems.

Outcome
Current-state assessment, AI opportunities, target architecture, modernization roadmap and defined work packages.

Discuss your project
02

Product & Architecture Discovery

For new products or major product extensions.

Outcome
Product and technical scope, architecture, delivery roadmap and implementation plan.

Discuss your project
03

Defined Software Work Package

For a clearly separable implementation requirement.

Outcome
Agreed scope, deliverables, milestones and acceptance criteria; implementation, tests, deployment and documentation.

Discuss your project
04

Fractional CTO / Principal Architect

For companies needing senior technology leadership without hiring a full-time CTO.

Outcome
Technology and AI strategy, architecture decisions, engineering guidance and transformation leadership.

Discuss your project
BUILD / NEW PRODUCTS & PLATFORMS

From first idea.
To real-world use.

For founders and product teams building a new platform or taking an MVP into production. Design the product, architecture and operating model together.

AI-native applicationsAgentic systemsSaaS platformsAPIs & integrations

Build the right foundation.

Translate the product opportunity into an architecture, a delivery backlog and a working product. Integrate AI where it creates value, with clear boundaries for tools, data access and human decisions.

  • Product & architecture discoveryUse cases, scope, technical decisions and a delivery roadmap.
  • MVP-to-production deliveryBackend, web applications, integrations, automated tests and deployment.
  • AI & agent implementationRetrieval, tool-enabled workflows, evaluations, permissions and escalation paths.

Typical handover Working software, source code, deployment configuration, acceptance evidence and operating documentation.

MODERNIZE / LEGACY TO AI-NATIVE

Your next product
may be the one you already have.

Transform existing software into future-ready, AI-enabled and agentic products. Cloud migration is one part of the journey. The real goal is a product that can evolve.

EXISTING SYSTEM
AI-READY FOUNDATION
INTELLIGENT WORKFLOWS
01 / ARCHITECTURE & APIs

Open up the system.

Map dependencies, reshape legacy architecture and create stable APIs and integration boundaries.

02 / CLOUD & DATA

Build a foundation for change.

Modernize infrastructure, identity and delivery. Connect isolated data through an interoperable, AI-ready data layer.

03 / AUTOMATION & INTELLIGENCE

Make workflows smarter.

Replace repetitive steps with automation and add AI-assisted features with measurable evaluation criteria.

04 / AGENTS & OPERATIONS

Delegate with control.

Introduce agents for bounded workflows, with permissions, observability, human approval and recovery paths.

An illustrative modernization scenario

BEFORE

  • Legacy application
  • Manual workflows
  • Isolated data
  • Limited APIs
  • High maintenance effort

MODERNIZE

  • Modern / cloud architecture
  • APIs and integrations
  • AI-ready data layer
  • Automation
  • AI-enabled capabilities
  • Agentic workflows where useful

AFTER

  • Future-ready product platform
  • New AI-enabled capabilities
  • Reduced manual processing
  • Faster product evolution
  • Foundation for future agentic workflows

An example of the transformation path, not a customer case or a guaranteed result. Scope and acceptance criteria are agreed for each product.

Modernization should restore or strengthen your product’s future competitiveness: unlock new capabilities, reduce manual work and make the next product change easier. Replacing old technology is a means to that end.

Start with a modernization assessment.

System inventory · risk and dependency map · target architecture · phased migration plan · scoped implementation estimate.

Discuss an assessment
LEAD / TECHNOLOGY LEADERSHIP

Clear decisions.
Accountable execution.

Senior technology leadership for teams that need direction, architectural clarity or a partner to connect strategy with delivery.

Fractional CTO & Architect

Recurring leadership, architecture decisions, delivery oversight and a practical technology roadmap.

Technology & AI Strategy

Prioritize product investments, assess AI opportunities and decide what to build, modernize or retire.

Engineering Transformation

Introduce AI-assisted development with repository context, review practices, testing and CI/CD quality gates.

Due Diligence & AI Governance

Assess architecture and technical risk. Define AI ownership, data boundaries, evaluations and operational controls.

Typical handover A prioritized roadmap, documented decisions, risk assessment and an execution plan your team can use.

From leadership to delivery.

Consulting creates a route into implementation. RottAgentiX can turn architecture decisions into defined work packages and deliver them against agreed milestones.

  1. 01ASSESS
  2. 02TARGET ARCHITECTURE
  3. 03DEFINE WORK PACKAGE
  4. 04DELIVER AGAINST MILESTONES
  5. 05ACCEPT & HAND OVER
Discuss your project
02 / DOMAIN DEPTH

Life Sciences.
Complexity understood.

A strong specialization in clinical technology, alongside software delivery across other industries.

Clinical systems bring together data integrity, interoperability and demanding operational workflows. We bring this context into architecture, migration and AI implementation from the start.

Clinical TrialsGxP contextEDC / ePRO / eTMFCDISC / FHIRClinical Data
  • Clinical platforms & integrationsApplication architecture, workflow design and standards-aware data exchange.
  • Migration & decommissioningSystem discovery, data mapping, reconciliation, archive and retirement planning.
  • AI for clinical workflowsUse-case assessment, controlled pilots and evidence for human review.
AIMEDTRIALS / PLATFORM EXPERIENCE

An agentic approach across the trial lifecycle.

Protocol development and evidence synthesis. Study definitions and CDISC data standards. Agent-enabled EDC, TMF/document knowledge and Trial Safety workflows. Statistical analysis planning, execution and reporting.

The shared architecture supports these domains through reusable agents, governed tool access and versioned clinical artifacts. GCP and GDPR requirements inform the design, including audit trails, electronic approval records, tenant isolation, EU-hosted infrastructure and controlled data flows.

Validation scope, quality responsibilities and acceptance evidence are agreed with your quality and regulatory teams for each engagement.

03 / DELIVERY MODEL

Own the outcome.
Keep the quality gates.

AI-assisted. Human-accountable.

Codex, Claude and Copilot support implementation, investigation and test creation. Human architecture, review and acceptance guide the work.

Automated testing, CI/CD, security checks and governance are part of delivery. Tool use follows agreed confidentiality, data-handling and access boundaries.

  1. 01

    Assess

    Understand the product, risks and intended outcome.

  2. 02

    Define

    Agree scope, milestones, acceptance criteria and ownership.

  3. 03

    Deliver

    Build in reviewable increments, test and demonstrate progress.

  4. 04

    Hand over & evolve

    Transfer software and knowledge, then plan the next step.

Have a Java, AWS, AI or architecture requirement? Where the scope can be separated, RottAgentiX can structure it as an owned work package with agreed deliverables, milestones and acceptance criteria.

Work packages

Bounded scope with concrete deliverables and acceptance criteria.

Milestone delivery

Phased investment tied to demonstrable product progress.

Fixed price after assessment

A defined price once scope, dependencies and risks are understood.

CTO / Architect retainers

Ongoing leadership with an agreed cadence and decision scope.

04 / SELECTIVE PARTNERSHIPS

Build with a partner
invested in the journey.

For selected startups, RottAgentiX can combine paid delivery or fractional CTO leadership with equity participation.

We look for a credible team, a meaningful product opportunity and a technical contribution that can change the trajectory. Scope, valuation, vesting and responsibilities are negotiated case by case.

Cash + equity and fractional CTO + equity are partnership options. Paid work packages and retainers remain the foundation of our business.

Discuss a venture partnership
05 / ABOUT ROTTAGENTIX

Founder-led.
Close to the work.

Peter Rottmann / Founder

RottAgentiX is founder-led. Peter Rottmann leads architecture and delivery, keeping senior technical responsibility close to every engagement.

RottAgentiX brings together technology leadership, software architecture and hands-on product engineering. Peter's background spans CTO and CEO roles, entrepreneurship and clinical technology.

Peter is Co-Founder and Chief AI Officer (CAIO) at AimedTrials, combining entrepreneurial responsibility with hands-on AI leadership in clinical technology.

Previously, as CTO and Co-Founder of Exom Group, Peter helped digitalize clinical trials. At AimedTrials, as Co-Founder and CAIO, he continues that journey with agentic AI — bringing experience from clinical digitalization into a new generation of intelligent trial systems.

AIMEDTRIALS / AGENTIC CLINICAL ARCHITECTURE

From protocol development to statistical analysis.

As Co-Founder and CAIO at AimedTrials, Peter brings experience in a complete clinical-trial platform architecture and reusable agentic framework. The architecture connects protocol development, clinical data standards, EDC, TMF and Trial Safety with statistical analysis through a shared agent mesh.

A common framework and SDK bring agent orchestration, human review, quality gates, traceable evidence and versioned artifacts into the clinical workflow.

Framework & applications
Python · FastAPI · LangGraph · Next.js · TypeScript · PHP experience
Google Cloud
Cloud Run · Cloud SQL · Cloud Storage · Vertex AI
AWS
Lambda · Cognito · DynamoDB · Amazon Bedrock
Microsoft Azure
Azure OpenAI
Regulated design
ICH Good Clinical Practice (GCP) · GDPR requirements · Auditability · Human oversight

This describes platform architecture and framework experience. It does not imply that every capability is deployed in production or independently certified.

Architecture and implementation stay connected. You work directly with senior leadership, with delivery structured around agreed outcomes.

Java · Spring · Python · PHP · LangGraph · Amazon Bedrock · AWS · Azure · Google Cloud · APIs · Clinical Systems · CDISC · FHIR · AI & Agentic Systems

06 / YOUR NEXT MOVE

What should your
software become?

A new product, a modernization challenge or a technology decision.
Start with the outcome you want to achieve.

RottAgentiX GmbH
Vogelbergstraße 17
89079 Ulm

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