7 Phases. From mapping to production.
A proven framework that starts with understanding your context and ends with a Private AI system in production. Every phase has measurable outputs and concrete deliverables.
Discovery & Assessment
Before writing a single line of code, we map your context. We audit the data sources you already have, interview the people who will use the system, assess the team's digital maturity and catalog external sources relevant to your domain.
Output: Data Map + Opportunity Matrix
Data Collection & Primary Sources
Set up the data collection infrastructure. We configure the OSINT engine, activate crawlers on industry sources, ingest internal data and configure change detection.
Output: Structured Data Lake
Gold Standard Construction
We build the quality baseline: curated gold documents, annotated and validated. We define the domain ontology and the benchmarks to measure answer quality.
Output: Gold Standard + Benchmark + Ontology
Knowledge Graph & RAG Build
We deploy the RAG pipeline, build the Knowledge Graph, configure hybrid search and activate the Explorer. The system starts answering questions.
Output: Operational Knowledge Base
Model Tuning & AI Agents
We select and calibrate AI models on the specific domain. We design specialized agents, configure tool use and validate performance against benchmarks.
Output: Calibrated AI Agents
Integration & Deploy
On-premise or private cloud deploy. We integrate with the existing ERP/CRM, customize the interface, configure RBAC and audit trail. We train the team.
Output: System in production
Continuous Improvement
The system improves over time. We gather feedback, update the knowledge base, add new collections, re-tune the model and produce monthly reports.
Output: AI that improves over time
Let's start here
Every transformation starts with a conversation.
Tell us your challenge: together we'll find the right solution.
