We turn sustainability standards into operating systems.

SaproLab builds the platforms, data layers, knowledge systems and AI agents that help complex sustainability programmes move from guidance to implementation.

Concretely: supplier portals, certification and evidence workflows, knowledge bases, APIs, AI assistants — built to run for years, not just to launch.

Standards to operations
01
Standards

Guidelines, requirements and programme knowledge.

02
Workflows

Roles, approvals and portals.

03
Evidence

Facility records, checks and audit trails.

04
Infrastructure

APIs, data models and shared records.

05
Intelligence

Dashboards, support, AI agents and decisions.

Founded in 2022SaproLab GmbH, Leverkusen.
EU-hosted operationsBuilt for regulated data environments.
Long-term platform partnerProduct ownership beyond launch.
14+ years certified TYPO3 deliverySenior implementation depth through consulting1x1.
Platform · Data · Knowledge · AIOne operating layer, not separate tools.
01 What we build

We build the infrastructure layer sustainability programmes need to operate.

Sustainability programmes do not fail because they lack ambition. They fail when standards, supplier data, evidence and user support live in disconnected tools. SaproLab builds the platforms, data layers and AI systems that turn those moving parts into operating infrastructure.

01

Multi-actor platforms

For programmes where brands, suppliers, certifiers, trainers and internal teams need to work from one shared system instead of scattered documents and inboxes.

  • Supplier and member portals
  • Certification and evidence workflows
  • Role-based access and approvals
  • Dashboards and reporting surfaces
02

Data infrastructure

The integration layer beneath the visible product: APIs, schemas, migrations and audit trails that make fragmented supply-chain data usable.

  • APIs and system integrations
  • Supplier, facility and product data models
  • Legacy migration and data cleanup
  • Evidence trails for regulated workflows
03

Knowledge and AI systems

Knowledge bases, support systems and AI agents that help users navigate complex standards without losing source control or governance.

  • Guideline and document platforms
  • Source-grounded AI assistants
  • Multilingual support workflows
  • Evaluation and governance loops
02 Proof in practice

Proof that standards can become infrastructure.

ZDHC is one long-term example: a global sustainability programme where guidance, training, supplier workflows, facility evidence, shared data and AI support all have to work together.

See all references
Operating chain Guidance becomes daily industry practice ZDHC shows how standards can become training, workflows, evidence, shared data and support at industry scale.
Shared industry backbone

Gateway

Gateway helps brands, suppliers and chemical formulators work from shared data instead of fragmented declarations and spreadsheets.

Industry effect: chemical choices, facility transparency and reporting move into a shared operational record.
Knowledge layer

Guidelines & knowledge base

SaproLab structures the guidance and knowledge resources users rely on to understand and apply sustainability standards.

Industry effect: technical guidance becomes governed implementation knowledge.
Capability layer

Academy

Academy turns technical standards into practical training for suppliers, brands and professionals across regions.

Industry effect: capability scales through repeatable learning.
Supplier implementation

Supplier Platform

Supplier workflows help facilities understand requirements, track progress and show implementation over time.

Industry effect: facilities can see what has been done and what still needs attention.
Facility evidence

OnSite

OnSite supports audits, sampling and evidence capture closer to the production floor.

Industry effect: reported data stays closer to facility reality.
AI support

Zeddy

Zeddy helps users navigate complex guidance, tools and support questions faster across languages and product surfaces.

Industry effect: governed guidance becomes easier to access at scale.
03 How we work

From standard to operating system.

We start by modelling the programme: actors, rules, evidence, decisions and support needs. Then we build the product layer that can run it for years.

ModelMap the standard, actors, decisions and evidence.
BuildTurn the model into portals, workflows and data structures.
OperateRun hosting, monitoring, security and support routines.
EvolveAdd reporting, integrations and AI once the operating layer is stable.

Domain first. We understand sustainability standards, regulated evidence and supplier workflows before we write code. The platform is downstream of the operating model.

Built for continuity. Architecture, tests and documentation are written so the system can survive roadmap changes, audits and handovers.

AI when useful. We add agents where there is governed knowledge, stable workflow context and evaluation. AI sits on top of infrastructure, not beside it.

04 Durable stack

What the platforms run on.

Mature tools, EU hosting, and boring reliability — because sustainability infrastructure has to keep running long after launch week.

Application layerLaravel, PHP 8+, Symfony components for long-lived workflow platforms
Editorial systemsTYPO3, headless setups and responsive build patterns certified for 14+ years
InterfacesVue, Inertia, Livewire and Alpine for focused operational surfaces
Data layerMySQL / MariaDB, PostgreSQL, Redis and Elastic for structured records, search and reporting
OperationsDocker, GitLab CI, AWS / Hetzner and EU data residency for reliable delivery
QualityPHPUnit, Pest, static analysis and automated reviews for maintainable releases
Continuity Architecture reviews, migration planning, documentation and technical audits for systems that need to outlast individual projects
05 FAQ

Common questions.

Clear answers about SaproLab's infrastructure work, ZDHC and AI in regulated sustainability programmes.

What do you mean by operating systems for sustainability programmes?

We do not mean desktop operating systems. We mean the connected platforms, data models, workflows, knowledge systems and support tools that let a sustainability programme coordinate many actors over time.

How is this different from a normal website or SaaS build?

A normal site publishes information. An operating system for sustainability turns standards into roles, records, approvals, evidence trails, reporting and support. It has to reflect the domain, not just the brand.

What is a Digital Product Passport and who needs one?

A Digital Product Passport is a structured product record that carries compliance, material, sustainability, and supply-chain data across a product lifecycle. Textile and apparel supply chains need DPP-ready platforms as EU rules move from reporting to product-level evidence.

Where does AI fit in this kind of infrastructure?

AI is most useful after the knowledge, workflow and data layers are stable. Then agents can retrieve governed guidance, help users navigate complex tools, flag evidence gaps and support reviewers with traceable context.

What does ZDHC prove about SaproLab's work?

ZDHC shows how sustainability standards can become operational infrastructure across a global industry. SaproLab builds and operates digital platforms supporting that ecosystem, including Gateway, Academy, OnSite, Supplier Platform, Forum and Zeddy.

06 Talk to us

Thirty minutes, no pitch deck.

We'll tell you within 30 minutes whether we're the right fit — and if we're not, who is.

Book a 30-min call

AI built for operational reality, not demos.

Agents embedded in your platform, grounded in your data, and evaluated before release. The kind that works in regulated environments — not just in a slideshow.

Concretely: production AI assistants and quality systems embedded inside existing platforms — grounded in your data, evaluated before release, audited in operation.

GroundedAnswers cite owned sources and knowledge bases
EmbeddedAgents work inside portals, workflows, and APIs
MeasuredEvaluation, regression checks, and audit logs
Agent loop
Inputquery / task
Contextrole · process
ToolsAPIs · DB · docs
Outputcited · traceable
Evaluationscore · flags
SourcesKB · owned
12,236requests · 2025
30+languages
4ZDHC surfaces
02 Production proof

Zeddy: production AI inside a regulated ecosystem.

Zeddy handles compliance questions grounded in a customer-owned knowledge base — about MRSL, InCheck, product restrictions, and regulatory guidance — across 30+ languages. Deployed across four surfaces in the ZDHC ecosystem, it handled 12,236 requests in 2025.

Zeddy metrics

12,236requests handled in 2025
30+languages supported
4surfaces embedded
KBcustomer-owned knowledge base
03 Products

What we're building.

From production tools to products in active design, SaproLab's AI portfolio spans compliance automation, data integrity and regulatory infrastructure. Some products are live now. Others are opening for waitlist and early access conversations.

01

Zeddy

In production

Production AI assistant grounded in customer-owned knowledge bases, embedded across four surfaces in the ZDHC ecosystem. Handled 12,236 requests in 30+ languages in 2025.

See live deployment
02

Quality & Integrity Suite

Waitlist

AI checks uploads for duplicates, metadata errors, and value ranges, paired with human review for edge cases.

Join waitlist
03

Claim & IP Monitoring

Waitlist

Web-wide detection of false certification claims with evidence packages prepared for legal review.

Join waitlist
04

Digital Product Passport Backbone

Waitlist

A structured product record layer for textile and apparel supply chains, timed around emerging EU product data requirements.

Join waitlist
05

Compliance Copilot

Design partners

CSRD, EUDR, AI Act and LkSG gap analysis with source-linked evidence trails for teams preparing regulated reporting workflows.

Join waitlist
06

Regulatory Intelligence Agent

Design partners

Monitors regulatory change and maps new requirements to internal knowledge bases and workflows as obligations become operational.

Join waitlist

Building for upcoming regulatory workflows?

Join the waitlist for upcoming AI products if you have real compliance workflows, data and review processes to test against.

04 Regulatory context

The regulatory infrastructure gap is real.

CSRD, EUDR, the EU AI Act, and Digital Product Passports don't just require compliance — they require connected, auditable, operational data infrastructure. Most organisations don't have it yet.

2024

CSRD / ESRS reporting begins for first-wave companies.

2025

EUDR and LkSG increase supply-chain due diligence pressure.

2026

EU AI Act obligations begin shaping AI governance.

2027

DPP, Green Claims, and fuller AI Act obligations require traceable systems.

The organisations building that infrastructure now will not need to rebuild it under pressure later.

Preparing for DPP, Green Claims or AI governance?

Join the waitlist for early product updates and product access conversations.

05 Services

How to start without a full product build.

Use SaproLab when the AI layer has to survive compliance, source scrutiny, and operational use.

01

AI Discovery workshops

1-3 days to turn candidate use cases into a prioritised business case.

02

Custom agent builds

From workflow design to a productive agent embedded in your platform.

03

Quality retainer

Continuous prompt tuning, evaluation, regression tests, and knowledge-base governance.

06 FAQ

Common questions.

Questions from compliance teams, product owners, and procurement leads evaluating AI for regulated work.

Are these AI products live, or still being built?

Zeddy is live in production, handling thousands of compliance questions across four surfaces of the ZDHC ecosystem. The other products — Quality & Integrity Suite, Claim & IP Monitoring, the DPP Backbone, Compliance Copilot, and the Regulatory Intelligence Agent — are in active design with early partners. We are not selling vapourware; the waitlist exists so we can build with the people who actually have the workflows we're designing for.

What's the difference between a chatbot and an AI agent?

A chatbot mainly answers prompts. An AI agent works inside a defined workflow, uses platform context and tools, cites sources, creates audit trails, and can be tested against expected outcomes.

What is a Digital Product Passport and who needs one?

A Digital Product Passport is a structured product record that carries compliance, material, sustainability, and supply-chain data across a product lifecycle. Textile and apparel supply chains need DPP-ready platforms as EU rules move from reporting to product-level evidence.

What makes an AI agent operational rather than just a demo?

An operational agent is grounded in real data, embedded in an actual workflow, connected to the tools users already use, and tested against expected outcomes before it ships. It has audit trails, source citations, and a governance process — not just a good demo. That's the standard SaproLab builds to.

What is the EU AI Act and how does it affect compliance platforms?

The EU AI Act introduces risk classifications, audit trail requirements, and human oversight obligations for AI systems used in regulated contexts. Platforms that embed AI agents need to demonstrate governance — which requires evaluation infrastructure, not just a model.

07 Talk to us

Build now, or shape what comes next.

Book a call for a current AI workflow, or join the waitlist for product infrastructure we are building with early partners.

The team behind the platforms.

SaproLab is a team of around 20 people across SaproLab GmbH and its sister company consulting1x1 GmbH. We build and operate the platforms, data layers and AI agents that sustainability programmes run on — and we stay close to the work for years after launch.

01 The people

Who runs the work.

Björn Bock

Björn Bock

CEO

Leads SaproLab and has led consulting1x1 GmbH since 2003 — one of Germany's longest-running certified TYPO3 agencies. Oversees platform architecture, long-term client relationships, and the operating model connecting both companies.

LinkedIn
Maximilian Michel

Maximilian Michel

Product Delivery Lead — AI & Digital Platforms

Leads AI product delivery across the ZDHC ecosystem. Built and iterates Zeddy from first deployment to 12,236 production requests in 2025, and drives evaluation loops, data analysis, and platform integrations.

LinkedIn

And around twenty more people across SaproLab and consulting1x1 — platform engineers, designers, and operations — based in and around Leverkusen.

02 Selected work

Where the platforms run.

A multi-year SaproLab engagement powering a global sustainability programme — alongside long-running platform references delivered through consulting1x1, SaproLab's sister company, for federal authorities, state ministries and regulated industry.

Through consulting1x1 — sister company, founded 2003

consulting1x1 was established in 2003 and is a certified TYPO3 agency, sharing leadership and operational practice with SaproLab. The references below are consulting1x1 engagements; SaproLab inherits its platform delivery DNA from that work.

consulting1x1 sister-company references
Federal Authority · Bonn

Bundesanstalt für Post und Telekommunikation (BAnst PT)

Federal authority administering civil servant pensions and social functions following the privatisation of Post, Telekom and Postbank. consulting1x1 delivers and operates the BAnst PT web platform, including the citizen-facing service centre for pension recipients, the careers portal, and editorial workflows for news and policy. The platform meets BITV 2.0 accessibility requirements with Leichte Sprache, Gebärdensprache, and contrast modes built in.

Insurance Group · Regulated Industry

Rheinland Versicherungsgruppe

Insurance group based in the Rhineland. consulting1x1 delivers custom software development, TYPO3 platform work, and long-term hosting operations. Insurance carries strict requirements for data residency, audit trail, and operational continuity — the kind of engagement designed to run reliably over many years.

Pharmaceutical Industry · Regulated

Trommsdorff

Pharmaceutical manufacturer based in Berlin. consulting1x1 built and maintains the Trommsdorff TYPO3 platform across multiple product domains, with editorial workflows for regulated product information.

Other consulting1x1 engagements
Jade Hochschule
Jade Hochschule TYPO3 · responsive · extensions

TYPO3 CMS implementation with responsive web design, LDAP integration and a research database.

PartyLite
PartyLite TYPO3 multidomain · API · hosting

TYPO3 multi-tier architecture across 14 countries and 19 languages, including SOAP/REST APIs and server hosting.

Trommsdorff
Trommsdorff TYPO3 multidomain · SEO

Multidomain TYPO3 setup for 16 product sites, with concept, consulting and search-engine optimisation.

Frauenrath
Frauenrath TYPO3 · responsive · content

TYPO3 CMS implementation with responsive web design, content support and search-engine optimisation.

Universum Group
Universum Group WordPress · SEO · operations

WordPress CMS work with SEO, plugin development, patch management and ongoing technical support.

UBC Collection
UBC Collection TYPO3 · custom software

TYPO3 CMS implementation with custom software development, extension programming and SEO.

BMW Felix
BMW Felix TYPO3 · responsive · integration

TYPO3 CMS implementation with responsive web design and an extension for Carpresenter integration.

Further references available on request — including engagements under NDA and active long-term contracts. Get in touch.

04 Talk to us

Want to know if we're a fit?

Same offer as everywhere else on this site — thirty minutes, no pitch deck. We'll tell you whether we're the right team for your problem, and if we're not, who is.