Custom AI
Building AI agents that take actions (not just talk)
How to build AI agents that execute tasks in CRM, email, support tools. Agentic patterns, tool-use, guardrails, and reliability evaluation.
Read moreServices2–8 weeks depending on scope
Custom AI Models
RAG, agentic systems, custom logic, and integrations — when you need AI tailored to your business.
Outcomes 1
AI features grounded in your real data
Outcomes 2
End-to-end integrations with your workflows and tools
Outcomes 3
Quality control and safer behavior
What you get
Everything Included
📚
RAG + Sources
Connect docs, products, policies, and knowledge bases with citations.
AI Agents
Agents that take actions: create tickets, update CRM, trigger workflows.
Evaluation
Tests, metrics, and reviews — so quality improves and stays stable.
Best for
Perfect for
Internal Knowledge Base
Search + answers across docs with citations.
Ops Agents
Automation with human-in-the-loop approvals for critical steps.
Product AI
AI in-product: recommendations, assistance, personalization.
Implementation timeline
How we do it
1
Requirements + Risks
3–7 daysGoals, data, integrations, safety, constraints.
2
Build
2–6 weeksRAG/agents/integrations, prototype, testing.
3
Launch + Monitor
ongoingLogs, metrics, alerts, and iteration.
FAQ
Common Questions
Related Articles
Related Articles
Custom AI
Multimodal AI agents for customer experience
How multimodal AI agents combine text, voice, and image understanding to improve customer experience across channels.
Read moreChatbots
RAG chatbot for B2B: what works and what doesn’t
How to build a RAG chatbot for B2B that answers from your knowledge base without hallucinations. Architecture, guardrails, and real pitfalls.
Read moreReady to start?
Let's build this together
Book a free consultation to discuss your project and see how we can help
Switzerland • EU • US
Fast delivery
Custom solutions