AI Core
Generative AI / LLM Integration
RAG systems, custom LLM fine-tuning, AI assistants, and enterprise knowledge bases built on Claude, GPT-4o, and open models.
What We Deliver
Deliverables, not features.
Every engagement ships concrete artefacts. You always know what you're getting and when.
- RAG architecture with vector search
- Custom fine-tuned models on proprietary data
- Enterprise prompt governance
- Guardrails, evaluation harnesses, red-team testing
- Multi-model routing and cost controls
- On-prem or VPC deployment options
Our Process
Four phases. Zero surprises.
01
Discovery
Map your context, constraints, and success criteria.
02
Architecture
Design the system: data, models, integrations, governance.
03
Build & Deploy
Ship to production in 8–16 weeks with full observability.
04
Measure & Optimize
90-day hypercare, retraining, and continuous KPI tracking.
Typical Outcomes
70%
reduction in support handle time
92%
answer accuracy on internal QA
6 wks
to first production assistant
Ready to ship Generative AI / LLM Integration?
Tell us about your context. We'll respond within 24 hours with a scoped proposal.