Digital studio in Valais — web applications, AI and computer vision for Swiss SMEs.
Digital studio in Valais — web applications, AI and computer vision for Swiss SMEs.
AI for companies — LLMs, machine learning, RAG, GDPR & nFADP compliant.
A Swiss AI consultancy based in Sierre, Valais. We integrate large language models, ship retrieval-augmented assistants and train custom machine-learning models for companies across Europe — with GDPR and Swiss FADP compliance built in, not bolted on.
Artificial intelligence has left the research lab and is now embedded in almost every industry. Between the marketing hype, the dazzling demos and the reality of day-to-day operations, though, there is a wide gap. TechSolve, a Swiss machine-learning agency based in Sierre, helps European companies cross that gap with grounded, measurable projects that comply with GDPR and the revised Swiss Federal Act on Data Protection.
Our philosophy is simple: we do not sell AI, we sell outcomes. Every engagement starts with a concrete business question — reduce case processing time, automate tier-one support, forecast demand 30 days ahead — and ends with verifiable KPIs. When AI is not the right answer, we will say so before writing a quote.
Assistants built on OpenAI, Anthropic Claude, Mistral or Azure OpenAI, with your organisation's SSO, prompt traceability, cost monitoring and domain-specific guardrails.
Conversational agents wired into your documents, CRM or ERP: 24/7 customer support, decision support tools, employee onboarding copilots, intelligent FAQs.
Retrieval-augmented generation over your procedures, manuals, case law, product catalogue or engineering wiki, with citations and verifiable sources for every answer.
Email, invoice and contract parsing, ticket classification, meeting summarisation and agents connected to your Microsoft 365 or Google Workspace tools.
Sales forecasting, anomaly detection, customer scoring, predictive maintenance. We train models on your historical data with scikit-learn, XGBoost, PyTorch and TensorFlow.
When generic LLMs fall short, we fine-tune open-source models (Llama, Mistral, Qwen) on your domain corpus while keeping your data strictly inside your perimeter.
We pick the model and infrastructure per use case — long-context reasoning, low latency, token cost, data sovereignty — rather than defaulting to whichever was fashionable last quarter. Everything is tested, versioned and monitored in production.
A virtual assistant deployed on your website, intranet or Microsoft Teams that answers common questions 24/7, escalates to a human when needed and logs every conversation in your CRM. Typical result: 40% to 70% of tier-one inquiries handled automatically, often with higher user satisfaction than tired end-of-day human agents.
Contracts, invoices, purchase orders, medical files — AI reads, extracts, classifies and indexes them in seconds. We have helped accounting firms cut their data-entry time by 60% to 80% while actually reducing error rates, because the model does not get tired by five in the afternoon.
For retailers, wholesalers and industrial SMEs, forecasting demand at 7, 30 or 90 days unlocks better purchasing, staffing and cash flow. Our models factor in seasonality, weather, local events and historical patterns to deliver forecasts that typically land in the 85% to 95% accuracy band.
In financial transactions, server logs or industrial sensor streams, AI spots unusual events in real time: suspicious transactions, upcoming failures, production drift. We combine classical ML (Isolation Forest, autoencoders) with automated alerting into your existing tools.
For visual anomalies on the production line, we deploy computer vision directly at the camera instead.
Deploying AI in Europe demands a proper ethical and legal framework. We design around the EU AI Act, GDPR for European users and the revised Swiss FADP for Swiss entities. Concretely, that means data minimisation, transparent disclosure to users, a right to explanation, a traceable register of AI processing and a data protection impact assessment (DPIA) for sensitive cases.
For clients where data sovereignty is critical, we deploy every component inside Switzerland or the EU: open-source models on Exoscale, Infomaniak or Swisscom servers, vector databases in Europe, logs in Europe. No data transits through the United States. AI projects also pair naturally with our web application development and machine vision work — see the full services overview.
A well-targeted support chatbot absorbs 40 to 60% of tier-one tickets and frees your team for high-value cases. A RAG search tool on your internal documents cuts information lookup from 10 minutes to 10 seconds — multiplied by twenty employees, that is several weeks of work recovered every year. A quoting agent saves 1.5 hours per quote for a salesperson, meaning 30 to 40 extra quotes handled each month by the same team. We always recommend a 2 to 4 week proof of concept to measure these gains on your own data before committing further.
Our clients typically see ROI between 6 and 18 months. The fastest wins come from customer support automation (up to 70% of tier-one tickets handled automatically) and document processing (50% to 80% time savings on manual data entry). Predictive use cases — sales, inventory, churn — deliver slower but more structural gains.
We deploy through enterprise API tiers with 'no training' flags enabled, which means your data never feeds back into model training. For the most sensitive use cases — healthcare, finance, legal privilege, public sector — we deploy open-source models (Mistral, Llama, Qwen) on Swiss or EU infrastructure, so that prompts and responses never leave your perimeter.
Yes. We design every AI engagement with GDPR as a baseline: lawful basis for processing, data minimisation, right to explanation, records of processing activities and, where required, a data protection impact assessment (DPIA). All data can be hosted inside the EU or Switzerland, with EU standard contractual clauses for any sub-processor that sits outside. We also track the EU AI Act closely and adjust our delivery accordingly.
A chatbot with a knowledge base (RAG) usually ships in 3 to 6 weeks. A business assistant integrated with your CRM, ERP or Microsoft 365 tenant typically takes 6 to 12 weeks. A custom machine-learning model with data collection, cleaning and training takes 8 to 20 weeks. We always deliver a usable pilot at the end of the first phase.
Yes. AI is not a fire-and-forget project. Commercial LLMs are updated by their providers, but your prompts, knowledge base and workflows still need to evolve. For custom ML models, we monitor data drift and typically retrain every 3 to 12 months. An MLOps maintenance contract covers monitoring, quality alerts and scheduled retraining.
Three layers. First, grounding through RAG on your own trusted sources to stop the model inventing answers. Second, guardrails — system prompts, content filters, mandatory citations. Third, continuous evaluation on representative test sets to catch bias and regressions as you ship. We also document known limitations so your teams know when to trust the model and when to override it.
AI shines on text processing, document extraction, classification, structured-data prediction and tier-one support. It is less reliable on complex legal reasoning, precise arithmetic (unless paired with tools), decisions that carry legal liability, and any domain with no training data. We scope every engagement honestly so you do not end up with a disappointing pilot.
Yes, when you target a task that already takes several hours a week: quote automation, document classification, customer support chatbot, data extraction. We start with a 4-week POC that typically frees up 1.5 to 2 days of weekly capacity — 15 to 25% extra headroom without hiring — before any long-term commitment. Around 70% of our POCs for Swiss SMEs move into production.
Book a free 30-minute scoping call. We will listen to the problem, sketch the architecture and tell you honestly whether AI is the right tool for the job.
TechSolve Ribeiro — Sierre, Valais, Switzerland — +41 78 925 66 30 — info@techsolve.ch