AI Consulting Services for B2B Companies

CODING SERVICES

AI on your own terms.

AI is not a feature you bolt on. It is a set of strategic decisions about data, integration, and infrastructure. We help you make those choices, then build and operate the result to deliver AI that fits your business, engineered by humans who code.

Consulting & Conception
Workflow & Systems Integration
LLM Hosting — SaaS & Self-Hosted
RAG & Vector Database Integration
Ongoing Platform Support & Operation
AI in Our Own Products (elytra, SellOn)
Agents, Chatbots & Multi-Agent Orchestration

Custom AI deployments establish true data sovereignty, maximize internal efficiency, and ground models in what your business actually knows.

Our strategic advice is backed by over thirty years of deep systems integration history and active AI features shipped inside our live production platforms.

30+

We configure and support both open-weights architectures and closed APIs, bringing experience across multiple foundational models like Gemini, Qwen and Gemma.

3+

We guarantee absolute data sovereignty by securing your private vector databases so that your internal company knowledge bases never leak.

100%

Model & Framework Experience

Tailoring model selections like Qwen or Gemma precisely to your operational scale is at the core of our approach. Our expertise spans leading generative frameworks, handling both closed-source cloud APIs and cutting-edge open weights architectures to fit your needs

Sovereignty & Data Control

Protecting your corporate knowledge is our priority. By establishing strict data walls around your vector databases, our setups ensure your sensitive data stays entirely within your perimeter and never leaks into public training sets.

Custom Agent Infrastructure

Moving far beyond standard prompt interfaces, our team builds bespoke agent tooling and multi-agent systems. These intelligent solutions are designed to communicate via secure APIs seamlessly across your legacy setups and custom web backends.

Proven Operational Integrity

Turning slide-deck concepts into real production value is what defines our delivery. Our successful deployments for enterprise products and highly regulated sectors like just-medical! prove that our pipelines are built to be robust, secure, and production-grade.

Advanced AI services and custom infrastructure

We help you decide what AI to use, build it into your systems, and host it where you want it, including on your own infrastructure. We provide flexible, scalable AI deployment models tailored entirely to your data control and performance requirements.

Human-centric consulting & conception

Before any model gets called, there are decisions to make. Which use cases actually justify AI? Where is a deterministic system the smarter choice? The point isn't to push AI everywhere; it's to help you put it where it pays off.

H4: Self-hosted LLM architecture

Some workloads belong on a hosted API. Others need to run on your own infrastructure due to data sovereignty, cost at scale, compliance, or control. We support both. Self-hosting LLMs is not a side experiment for us; it's part of what we offer and operate, with extensive experience in models such as qwen3.5 and gemma4 with MTP.

Product-integrated AI workflows

We ship and operate AI features in production within our own platforms like elytra and SellOn. This direct operational experience flows back into how we advise and build for customers. The exact same professional approach we use for our own platforms is available as a service for your products.

Our comprehensive AI implementation process

We guide you smoothly from initial use case evaluation to secure multi-agent production workflows. Our technical execution ensures your models are safely grounded, performant, and deeply integrated into your company's operational infrastructure.

Step 1

TitleStrategic use case screening

Evaluating strategy, conception, and the trade-offs of each path forms the starting point of our collaboration. Our objective analysis of your workflows tells you early where AI brings measurable payoffs, while honestly identifying where it doesn’t belong.

Step 2

Data grounding & mapping

An LLM without your data is just a generic assistant. We map your internal document landscapes, structured data pools, and corporate knowledge bases to prepare them for seamless custom model ingestion.

Step 3

RAG & Vector pipeline engineering

Building the retrieval-augmented generation (RAG) frameworks and wiring up the necessary vector databases keeps answers firmly grounded in what your business actually knows, maintaining strict boundaries on what gets exposed.

Step 4

Intelligent agent orchestration

We build the AI that does the heavy lifting: smart chatbots that handle real interactions, autonomous agents that complete tasks across your software stack, and multi-agent setups where specialized entities coordinate to solve complex problems.

Step 5

Infrastructure & hosting deployment

Provisioning the right environment guarantees alignment with your strict security guidelines. Whether deploying secure SaaS endpoints or configuring full self-hosted model instances on your private cloud, the technical setup is managed end-to-end.

Step 6

Production integration & monitoring

Embedding the finalized AI capabilities directly into your existing enterprise software workflows secures long-term value. Post-launch, our ongoing maintenance, monitoring, and pipeline optimization guarantee operational success.

END-TO-END SYSTEM COHESION

Connecting custom AI pipelines directly to your core systems

Isolated AI demos create structural fragmentation and lack corporate context. True digital modernization requires a comprehensive AI strategy that directly links your analytical models and orchestrators to your existing business infrastructure.

We specialize in end-to-end delivery spanning strategy, execution, database grounding, and custom hosting. By wiring up your multi-agent applications and retrieval setups directly to your enterprise platforms, ERPs, or custom web products, we eliminate data silos and automate highly complex tasks securely.

This holistic engineering approach ensures your custom AI models operate seamlessly as an organic extension of your daily processes. It establishes a trusted single point of execution, guarantees compliance with strict security requirements, and empowers your internal teams to scale output efficiently.

Dive deeper into our ecosystem

Explore the core services and proprietary platforms we use to accelerate digital growth and automate your operations.

Custom Digital Solutions

We engineer custom systems, robust web platforms, and critical operational middleware designed completely around how your enterprise actually functions.

Digital Strategy & Consulting

Strategic clarity before writing code. Our experienced developers assess your architecture, evaluate tech options, and design practical system integration roadmaps.

Elytra Product Experience

Take absolute control of your Master Data. A modern, no-code Product Information Management (PIM) platform built to handle complex, multi-language catalog structures seamlessly.

SellOn Marketplace Engine

Your shortcut to Swiss digital sales channels. Seamlessly map data sources, enforce quality gates, and synchronize order flows directly with dominant local marketplaces.

Plan your custom AI strategy with us

Deploying robust, enterprise-grade AI requires deep technical foresight, secure data patterns, and direct coding execution. Let us discuss how we can engineer a custom AI architecture that fits your exact processes.

Martin Polak

Digital Transformation Manager

Book an appointment Contact us

FAQ Heading

We cover the full arc, from strategy and use-case consulting through RAG and vector databases, multi-agent orchestration, chatbots and LLM hosting as SaaS or self-hosted, to workflow integration and ongoing operation. We work with closed-source APIs like Gemini as well as open-weights models like Qwen and Gemma. We clarify what you specifically need in an initial call.

The investment depends on how deeply AI is built into your processes. A consulting sprint for use-case evaluation is billed as a fixed fee, a custom RAG system or a multi-agent setup is a longer project with its own budget, and ongoing operation runs as a retainer. On top come the costs for infrastructure and model APIs, which you pay directly to the provider. In an initial call we clarify your needs and put together a quote that fits.

Inside your perimeter. We place private vector databases behind clear data boundaries, so your internal knowledge bases never leak into public training data. For workloads with high requirements on data sovereignty, compliance or cost control, we host LLMs directly on your infrastructure, with deep experience in models like Qwen and Gemma. Hosted APIs are only used where they fit and are approved.

We work in six steps, from use-case evaluation through data mapping, RAG and vector pipeline build, agent orchestration and hosting deployment, to integration into your systems with ongoing monitoring. You approve each phase. We deliberately start with the honest question of where AI pays off and where it does not. In some places a deterministic system is the smarter choice.

Yes. We build and operate AI features inside our own platforms elytra and SellOn as well as in regulated environments like just-medical!. That operational experience flows back into the consulting and delivery we do for you. You get recommendations from a team that runs the pipelines, not one that reads blog posts about them.