Software development
Platforms, data products and AI agents — from architecture to operations. We develop innovative technologies and roll them out at large, well-known retail groups.
S&W Strategies is an international investment and IT company from Baden-Württemberg, Germany: we build software and AI, launch startups, run investment programmes and hold our own portfolio. With the care of a master workshop, the pace of a startup — and a reliability you can count on in every detail.
We are engineers who build our own products. Founders who take startups to market ourselves. And investors who run programmes and holdings internationally. All three under one roof — and all three with the same conviction: the next decade belongs to companies that master artificial intelligence rather than buy it.
Platforms, data products and AI agents — from architecture to operations. We develop innovative technologies and roll them out at large, well-known retail groups.
Startups built in-house: validation, MVP, market entry and scaling — with our own venture platform as the operating system.
International programmes and holdings in products and IT companies. Long-term capital, operational proximity, clear governance.
From the first analysis to day-to-day operations: we audit, design, build, roll out, train your team and stay by your side. A closed loop — from a single source.
We automate processes in any business: sales, procurement, logistics, finance, customer service. Less manual work, fewer errors, more speed.
We bring artificial intelligence into existing systems and workflows — agents, assistants and data platforms that measurably take work off your hands.
We review processes, data, systems and costs and show where automation and AI have the greatest leverage — with a clear roadmap.
We build, roll out and operate: software, integrations, infrastructure. With support, continuous development and dedicated contacts.
We enable your people to work more efficiently with new tools and AI — hands-on, in their own daily work.
We run marketing, content and social media for your product — data-driven, with AI tools, from strategy to daily execution.
Seven steps, one team, no hand-over gap. The people who run the audit are still there for you in operations.
Step 1 of 7
We look at processes, data, systems and costs — on site or remote, with the people who do the work every day.
What you get
Step 2 of 7
The audit becomes a roadmap: what first, what later, what not at all. With architecture, effort and goals that can be measured.
What you get
Step 3 of 7
We build in short iterations and show working results early. You see progress, not just status reports.
What you get
Step 4 of 7
We bring the solution into your operations: integration with existing systems, data migration, go-live with a fallback plan.
What you get
Step 5 of 7
Your team learns to work productively with the new tools and with AI — in their own daily work, not in a seminar room.
What you get
Step 6 of 7
We operate, monitor and keep developing. Dedicated contacts, clear paths when something breaks.
What you get
Step 7 of 7
Once the system runs, we move it forward: content, campaigns and social media — data-driven and with AI tools.
What you get
Then the loop starts again — with the next audit.
We stay when others hand over. We work with the most advanced AI and software technologies and use them every day in our own products. Our team brings many years of experience from IT, retail, automotive, portals and digital transformation. And we think in terms of your business, not tickets: results, costs and growth — as if they were our own.
Every product is designed AI-first: agents that execute processes, data platforms that check themselves, and products that speak dozens of languages from day one.
AI agents that do not just answer but get work done — in engineering, operations and customer processes.
Product and master data as the operating system of commerce: quality, approvals, compliance, publishing.
Our products speak up to 26 languages — from the first release, not as a retrofit.
EU hosting, data minimisation, GDPR-compliant architecture — especially where data is sensitive.
Good software does not come from speed alone. It comes from method, care and a short path between you and the people who build it.
Service-level authorisation, secrets management, security headers and automated security checks (SAST, DAST) in every pipeline. GDPR-compliant data protection is part of the architecture, not an afterthought.
Code reviews, automated tests plus load and end-to-end tests as a release gate: no release goes live without a green overall report. And documentation the next developer can actually read.
You talk directly to the architects and developers who build your system — no sales layer, no forwarding chains. Decisions are made in conversation, not in tickets.
Short iterations, priorities you can reset every cycle, scope and pace set by your business. When your market turns, the plan turns with it.
Architecture decisions, interfaces and runbooks are updated with every release — straight from code and pipeline. Whoever joins the project finds today's state, not last year's.
Experienced teams, short decision paths and automated pipelines make us fast. Quality remains the yardstick: tests, reviews and security checks are part of every release — not what is left over when there is time.
Sixteen methods our teams and our AI agents work by every day — pick one and the picture rebuilds itself into its principle.
Product & delivery
Domain & quality
Architecture
Operations & security
We deliver in short cycles instead of one big bang: every cycle ends with a working result you can see and accept. A Kanban board with WIP limits shows what we are working on and what is blocked; review and retrospective then improve both the product and the collaboration.
Before we build a feature, we test the assumption behind it: hypothesis, success criterion and review date are fixed up front, interviews and clickable prototypes deliver the answer. What holds up, we expand; what does not, we stop before it burns budget.
We steer by impact, not by the amount of work: a few objectives, each with measurable key results such as revenue, lead time or conversion. Every important decision is recorded with its expected outcome and later checked against the result.
We model software along your business: clear domains (bounded contexts), a shared language with your experts and domain events between them. That keeps the system understandable as it grows.
Test first, then code: red, green, refactor. Every function is verifiable from the start — changes become safe instead of risky.
For AI features we define measurable evaluations before we build: test cases, quality thresholds, regressions. An AI feature goes live only when it passes its evals.
AI agents write code with us, but never without a brief. First comes a specification with goals and boundaries, then a plan in small, verifiable steps. The agents work by fixed rules, every step passes tests and review, and a human signs off.
Systems talk through events instead of rigid coupling: Kafka as the backbone, outbox and saga patterns for reliable flows across service boundaries. New features plug in without touching existing ones.
Microservices, API-first, cloud-native, headless: we replace monoliths step by step (strangler pattern) without stopping live operations. Commerce and platforms can then be renewed piece by piece.
The interface is the contract and comes first: OpenAPI and AsyncAPI, versioned and secured by contract tests. Web, app, partners and AI agents use the same clean interface.
AI is part of the architecture, not an afterthought: agents, retrieval (RAG) and automation with clear boundaries, human approval where it is needed and measurable quality through evals.
Business logic sits at the core and knows no frameworks; databases, interfaces and third-party systems attach from outside through ports and adapters. Technology can change, the business stays stable.
Security runs in every pipeline: static and dynamic checks, dependency scans with SBOM, secrets management and zero-trust access via OAuth2/OIDC. Gaps are found before they go live.
Infrastructure is built from versioned code: Terraform for cloud resources, Kubernetes and GitOps with Argo CD for deployments. Every environment is reproducible, every change traceable.
From commit to operations in one automated line: build, tests, security checks, deployment, monitoring. End-to-end tests with Playwright and load tests with k6 check the system the way your users experience it.
Data protection and regulation belong in the architecture, not in the aftermath: data minimisation, encryption and hosting in the EU from the first draft; GDPR, the EU AI Act and NIS2 sit in the backlog as requirements. Evidence for audits is produced along the way.
Data is the most valuable thing you entrust to us. That is why we implement legal requirements technically before the first line of code is written — and keep to them across the whole lifecycle.
Art. 25 GDPR
Data minimisation, purpose limitation, deletion and permission concepts, encryption at rest and in transit, data residency in the EU. We prepare data protection impact assessments on the technical side.
Art. 9 GDPR · Trade Secrets Act
Health, biometric and financial data or trade secrets demand more: separated tenants, complete access logs, pseudonymisation and — where needed — operation entirely within your own infrastructure.
Reg. (EU) 2024/1689
We classify AI features by risk level, implement transparency and documentation duties and build in human oversight wherever the law or common sense calls for it.
External · internal · hybrid
From a single workflow to the entire company landscape: we make processes AI-ready — with external models, with internal models in your environment or hybrid, depending on what your data allows.
The legal assessment of each case is carried out together with your data protection officer and legal counsel; we deliver the technical implementation and the evidence.
A system is only finished when it runs reliably. Logging, monitoring, alerting and release management come included — and the documentation keeps itself up to date.
release: needs: [unit, contract, e2e, security] if: github.ref == 'refs/heads/main' steps: - run: k6 run load/checkout.js --threshold 'p(95)<300' - run: zap-baseline.py -t $STAGING_URL -c zap.conf # DAST - run: syft . -o cyclonedx-json > sbom.json # SBOM - uses: ./.github/actions/canary-deploy with: { traffic: 10%, rollback-on: slo-burn }export class OrderPlaced implements DomainEvent { readonly type = "order.placed.v1"; constructor(readonly orderId: OrderId, readonly tenant: TenantId, readonly total: Money, readonly at = Instant.now()) {}} await tx.run(async (db) => { await orders.save(db, order); await outbox.append(db, new OrderPlaced(order.id, order.tenant, order.total));}); // atomic: state and event in one transactionmodule "shop_cluster" { source = "./modules/k8s-cluster" region = "eu-central-1" # EU data residency node_pools = { app = 3, ai = 1 } encryption = { at_rest = true, kms_key = var.kms_key } backup_policy = "daily-35d" tags = local.compliance_tags}- alert: CheckoutLatencyHigh expr: histogram_quantile(0.95, rate(http_request_duration_seconds_bucket{route="/checkout"}[5m])) > 0.3 for: 10m labels: { severity: page, team: commerce } annotations: summary: "Checkout p95 above 300 ms" runbook: "docs/runbooks/checkout-latency.md"@eval_suite(model="assistant-v4", threshold=0.92)def test_product_answers(case): answer = assistant.ask(case.question, context=catalog.search(case.question)) assert grounded(answer, case.sources) # no hallucination assert not contains_pii(answer) # no personal data return score(answer, case.expected)
Simplified excerpts from typical projects; names and values are examples.
We know the reality of large organisations — factory floors, store networks, public authorities — and build technology that actually runs there.
Production, processes, master data and automation in industrial organisations.
Innovative technologies for large, well-known retail groups: product data, omnichannel, fulfilment.
Digital solutions for governmental and public institutions — with the security and traceability requirements that apply there.
Compact assignments, mid-sized projects and programmes that run inside corporations for years — plus products of our own. That work has built experience across the industries and disciplines that matter in digital business: from retail to SAP, from product design to AI. We know what holds up in practice. And what doesn't.
Shops, marketplaces and checkout journeys for retailers and retail groups — with payment, marketing and promotion whose impact shows in revenue.
Shops and multi-checkout for car manufacturers, portals for media groups and newspaper publishers, digital platforms for trade fairs and their exhibitors.
From idea to market-ready product: consulting, product design and the development of products and services that prove themselves in daily use.
Big data, analytics and AI at the core: we build AI-first platforms and agentic systems — and make data the basis of your decisions.
End-to-end processes across system boundaries: SAP integration, microservice architectures and interfaces that stay reliable under load.
Deployment, infrastructure and support: we take systems into production securely — and keep them stable there, day after day.
150+clients and projects — from compact assignments to multi-year corporate programmes
15+ yearsof project experience for every senior expert
35tenants on a single platform — our largest multi-tenant build to date
−60 %in operating costs in one modernisation programme
We make companies and processes AI-ready — step by step, measurably.
Less manual work, less friction, lower operating costs.
Shorter paths from idea to release: new products reach your customers sooner.
Near real-time analytics instead of monthly reports — decisions grounded in data, not gut feel.
Automated tests, code reviews and clear quality gates before every release.
Security is not a project phase for us — it is the foundation.
Processes, costs and progress traceable at any time — documented against GDPR, the Data Act and the EU AI Act.
We measure where you stand, forecast effort and impact — and say openly what is realistic.
Plans and roadmaps that hold — milestone by milestone. No empty promises.
Founder, visionary and the source of ideas behind S&W Strategies. More than 18 years in product development and product design, driven by one conviction: data and new technologies only matter once they become products that move markets. His home turf is e-commerce — he has been responsible for digital platforms for corporations in retail, media and automotive, in B2B as well as B2C, and brings big data and digital transformation to the places where they create revenue.
Founder and visionary — and the strategic counterweight in the duo. Many years of experience taking products from a first idea to market readiness, on a solid technical footing. His special field is the public sector: he knows how administrations work and turns that into digitalisation that actually lands there. In B2B transformation he guides companies from the status quo to new business models. Together the two lead S&W as equals: two strategists, two perspectives, one standard for products.
Experienced architects, developers and consultants with 15 or more years of project experience each, plus specialised partners, engaged per project.
Young, well-trained developers in frontend (React, Next.js), backend (Java, Kotlin, Python), mobile (React Native), cloud & DevOps, QA automation and data & AI, supported by senior mentoring.
Our leads take responsibility for results and people: clear goals, pairing and reviews instead of lone fighters. Knowledge belongs to the team, not to one person.
A strong team of consultants and architects accompanies you from analysis to operations. Every request has an owner and a next step — no task is left lying.
170technologies across 14 fields — used in real projects
AI & language models14
RAG, vectors & search8
Backend & languages17
Frontend, mobile & 3D13
Big data & streaming11
Databases8
Geo, maps & coordinates14
Computation & algorithms10
Media, image & video7
Cloud, DevOps & operations16
Security & quality9
Enterprise: SAP, Microsoft, Oracle, IBM18
Management & collaboration7
Design, product & CAD18
Figures and industry references relate to projects our experts have contributed to, including before S&W Strategies GmbH was founded. We name clients only with their consent.
Strategy before code: understand first, then build.
Decisions on solid data — confidence instead of gut feeling.
The pace of a startup, the care of a manufactory.
Every euro where it achieves the most — invested with precision.
Processes that get measurably leaner — and a business that grows.
Our promise
Spend with precision and raise the efficiency of your processes and your entire business.
Partnerships, investment programmes, software projects or a first conversation about your plans — write to us.
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