Deployable, traceable software connected to your systems, your rules, and your infrastructure.
Four real situations we hear every week in discovery calls. If any rings true, keep reading — below you'll see how we solve it in production.
Your team spends hours each week classifying tickets, emails or leads that an operations agent would handle in minutes — without losing traceability.
How we solve itYour data lives scattered across Notion, Slack, Drive, SharePoint and the CRM, and nobody connects them. When someone asks a question, the answer takes days.
How we solve itYou tried an LLM, but it can't be audited or governed. Legal won't sign off, Compliance asks for trails, and the CISO blocks the deployment.
How we solve itYou need to reduce dependency on OpenAI, control where the models run, or deploy on-prem — without becoming an infra company.
How we solve itSales, support, and ops teams handle repetitive tasks that consume time without adding process value.
CRM, helpdesk, ERP, email, and internal tools via API or native connector.
Multi-agent orchestration · persistent memory · configurable human oversight
Reduced operational time, lower manual load, and traceability of every agent action.
Relevant knowledge is scattered across documents, legacy systems, and external sources with no structured access or traceability.
Document bases, SharePoint, Confluence, S3, external APIs, and proprietary sources.
Augmented retrieval · embeddings · permission control · per-query audit log
Source-verified responses, role-based permissions, and operational memory that improves with use.
Internal processes depend on manual steps and coordination between systems that don't communicate.
Internal flows, notifications, bidirectional integrations with ERP, CRM, and custom apps.
Native or webhook integration · configurable business logic · no stack replacement
Connected processes, in-tool copilot assistance, and reduced cycle times.
Data and connectors entering the system.
Memory, agents, and rules reasoning over the data.
Visibility, traceability, and audit of every decision.
Applied AI is our core. Behind it is a team that also designs, builds, and ships web products and custom software — end to end, to the same standard.
Your product
In production, end to end.
Fast, accessible interfaces with the experience polished to the detail.
Solid business logic and well-designed APIs that scale with you.
Modeling, persistence, and search built to grow without friction.
Continuous deployment, observability, and releases without surprises.
Pipelines, quality control, and agents that remove manual work.
We deploy on your cloud, with the models you choose, on the infrastructure you already have. No vendor marriage required.
We map your current processes, available data, and infrastructure to identify where an AI system creates real value and what is viable to build.
We design the system architecture, build a scoped pilot on a real process, and validate results with your team before scaling.
We deploy the full system with monitoring, audit, and governance controls. The system evolves with usage and operational team feedback.
We're not for everyone. If your organization is looking for large-scale deployment consultancy or a 20-person in-house team, there are better alternatives. If you want a small senior team that delivers production fast and respects your autonomy, we fit.
Typical engagements: €30k–€300k · 2-12 months. We don't sell discovery without a path to production.
We audit your process, available data, and infrastructure to identify where an AI system creates real value, what's viable, and the concrete path to production.
Deliverable: Technical report + architecture proposal + pilot estimate
We build the system over a real process, deploy it to your staging, and validate measurable metrics before rollout. If metrics aren't met, no production rollout.
Deliverable: Functional system in production + measured metrics + operational runbook
Continuous operation, metric-based adjustments, system evolution with new cases, and production support. All code remains yours.
Deliverable: Stable system + new cases in backlog + SLA support
We work on your infrastructure whenever possible (private cloud or on-prem). If we use our own cloud, we sign DPA and NDA, and data stays in the region you specify. We never use your data for model training.
Between 6 and 10 weeks. Week one is technical discovery, the following 4-6 weeks are pilot construction over a real process, and the last 1-2 weeks are validation with measurable metrics before going to production.
We work with your stack. We have tested integrations with Salesforce, HubSpot, Zendesk, ServiceNow, custom ERPs, and common databases. If you need a new connector, we build it. We don't replace your systems.
Role-based permissions applied pre-retrieval (not post-filtering at the LLM). Structural audit log on every agent decision. Compliance with GDPR, EU AI Act, PSD2 depending on the sector. We work with your compliance team from week one, not at the end.
If the agreed metrics aren't met, there's no production rollout and we don't bill the deployment phase. The pilot is billed at a fixed independent price. We've lost pilots before — we prefer that to selling deploys that don't add real value.
Yes, fully. Your team receives the repository, technical documentation, operational runbook, and full infrastructure access. No IP lock-in.
Yes. A significant portion of our deployments are on on-prem Kubernetes or client's private cloud. This is common in regulated sectors (banking, healthcare, public sector) or when data can't leave the perimeter.
Mid-sized companies (50-2,000 employees) in regulated or operationally complex sectors. Typical engagements: €30k–€300k, 2-12 months. We're not the right fit for large corporations needing armies of consultants nor startups looking for a quick PoC without infrastructure.