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AI / ML / NLP
LLMs, RAG, decision copilots and enterprise AI rollouts.
We design, build and run AI solutions in production, focused on measurable business impact.
Full AI lifecycle — use cases and data, models, integration, monitoring and operational evolution.
Scope:
- predictive and analytical models for decisions,
- NLP and LLM-based solutions,
- document and data processing automation,
- integration with business systems,
- enterprise rollouts with governance, security and control over data and models.
Who it is for
Companies adopting LLMs, RAG or document automation with control over cost, answer quality and GDPR compliance.
Why work with us
Enterprise, not a demo
Evaluation, guardrails, prompt logging and model versioning.
Data under your control
On-prem, VPC or Azure OpenAI per client policy.
Measurable value
KPIs: handling time, accuracy, operational cost reduction.
What you get
- Use case and source data assessment
- RAG / agent pipeline with regression tests
- Business system integration
- Cost and answer-quality dashboard
- Retention and anonymisation policies
Engagement formats
RAG PoC (4–8 weeks)
Validation on a representative document set.
Production copilot
Go-live with SLA and monitoring.
AI governance advisory
Policies, roles and model approval process.