01
Fine-tuned operational LLMs
Domain-aligned models trained on your corpus, evaluated against production tasks — not benchmarks.
Generative AI Practice
Custom LLM alignment & agentic workflow employees.
We design, fine-tune, and deploy language models that live inside your operational stack — with role-scoped memory, bilingual voice, and hard security boundaries.
Practice
Generative AI Practice
Delivery
Riyadh · London · Lahore
Model
Fixed-scope · Retainer
Timeline
6–16 weeks / phase
01 — What we do
Three pillars that carry the practice.
02
Bilingual voice agents
Enterprise-grade voice AI in English + regional languages, hooked into your CRM and calendar in real time.
03
Secure agentic workflows
Agents with tool-use, database access, and policy guardrails — deployed on your VPC, not a third-party SaaS.
“
We ship this practice as a small, opinionated system — running infrastructure, evaluation harnesses, and the rituals that make leadership trust the numbers.
02 — Capabilities
What we build inside this practice.
Every engagement is scoped as a small system, not a slide deck. You get running infrastructure, documentation, and the metric-store hooks to measure it.
Scope an engagement01Custom LLM fine-tuning & LoRA adapters
02Retrieval-augmented generation (RAG) pipelines
03Multilingual voice-to-voice agents
04Agentic orchestration (LangGraph / custom)
05Function-calling into internal APIs
06Prompt & policy evaluation harness
07Quantization for low-latency execution
08Full observability & guardrail layer
Reference architecture
How the pieces move.
03 — In production
Numbers from the field.
92%
Call automation for a sales floor
Bilingual voice agent handled inbound qualification with human-level conversion.
18×
Faster inside-sales response
Agentic follow-ups replaced a manual triage queue across 6 regional teams.
0
Third-party token spend
Self-hosted models eliminated per-request billing on high-volume workflows.
Ready to scope this into your stack?
Book a working session with a lead architect.