WHAT WE OFFER
AI
LLM features, agentic systems, and operational AI for your product.
We ship AI as engineered software — not demos. Multi-agent pipelines, retrieval, cost-aware LLM workflows, and the eval harnesses that keep them honest in production.
What we do
LLM features in your product
Anthropic / OpenAI integrations with structured prompts, streaming, and graceful fallback.
Multi-agent workflows
CrewAI, DSPy, n8n — agents that complete real work, not chat demos.
Retrieval & knowledge bases
Vector pipelines tuned for Arabic + English content.
AI cost optimization
Caching, routing, and right-sized models — without losing quality.
What we know
- Vanderbilt AI Agent Developer, IBM AI Product Manager, Google AI Essentials.
- Enterprise Open WebUI rollout — 250+ users, 454 models.
- Production Anthropic + OpenAI integrations with eval pipelines.
HOW WE WORK
From use case to evaluated, production-grade AI.
Three phases tuned for AI engagements — scope, ship, then keep it honest in production.
PHASE 01
Scope
Use case, evals, and a working prototype before any commitments.
- 01
Discovery & use case
We map the problem, the data, and the success metrics.
- 02
Eval harness first
We define how we'll measure quality before we build anything.
- 03
Prototype & cost model
A working slice plus a real cost-per-call projection.
PHASE 02
Ship
Engineered AI features behind your product — not a chat demo.
- 04
Integration & guardrails
Streaming, retries, structured outputs, and safe fallbacks.
- 05
Multi-agent workflows
Agents that complete real work, with observable hand-offs.
- 06
Production launch
Rate limiting, cost caps, and an incident playbook on day one.
PHASE 03
Operate
Monthly retainer — keep cost, quality, and behaviour in check.
- 07
Continuous evals
Regression checks every release. No silent quality drift.
- 08
Cost optimization
Caching, routing, right-sized models. Same quality, lower bill.
- 09
Model upgrades
We track the frontier and migrate you when it's safe.
AI
Want to talk about a project?
Tell us what you're trying to build. We respond within a working day.
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