AI Consultation
Strategic and technical advisory — we help you decide what to build, what not to build, and how to measure whether AI is actually the right tool.
Applied AI Consultancy
The right path to applied AI.
We don't sell a product. We build the one that fits you.
- Engagement model
- On-demand, bespoke
- Starts with
- Understanding, not selling
- Ends with
- Measured, evaluated outcomes
What we help you build
Every engagement is tailored. These are the capabilities we most often bring to the table.
RAG Solutions
Retrieval-augmented generation grounded in your data: chunking strategies, embeddings, vector stores, hybrid search, re-ranking, and honest evaluation.
Agentic Solutions
Tool-using agents and multi-step workflows — with the guardrails, observability, and eval harnesses needed to run them safely in production.
Real-time Stream Processing
Event-driven AI pipelines on top of Kafka, Flink, or similar — for fraud signals, personalization, anomaly detection, and low-latency decisioning.
LLMOps & Evaluation
Offline and online evals, tracing, prompt versioning, cost and latency telemetry — so your AI system keeps working, not just demos well.
Bespoke AI Systems
Custom solutions combining classical ML, LLMs, and domain logic — designed around your data, your constraints, and your definition of success.
A five-step path, walked with you
We only work on demand. Every engagement begins with a conversation, because the wrong solution to the right problem is still the wrong solution.
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01
Conversation
We start by listening. What is the business problem, the constraints, the data you already have, and what "done" actually looks like?
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02
Solution Design
We design an architecture that fits — not the trendiest stack, the right one. Trade-offs, cost, and maintainability are on the table from day one.
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03
Verification
Before we build, we prove the approach works on your data with offline experiments and evaluation metrics agreed upon with you.
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04
Implementation
We build production-grade systems — with observability, testing, and clean hand-off — not demoware that falls over at the first edge case.
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05
Evaluation
We measure the solution against the success criteria we agreed on, in production, and iterate until it truly delivers the outcome.
Our approach
Honest AI engineering, not hype.
We don't sell a product. We build the one that fits you.
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Problem before solution
If AI isn't the right tool, we'll tell you. Early.
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Evaluation is not optional
Every system we ship carries its own measurement harness.
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Your data stays yours
We design for data governance, privacy, and residency from day one.
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Built to hand off
Clean code, documentation, and knowledge transfer so your team can own it.
About Rushd AI
رُشْد — the right path.
In Arabic, rushd means being on the right path — guided by clarity, maturity, and sound judgment. That is the spirit we bring to every AI engagement.
We are a consultation-driven AI practice. We don't push packaged products, and we don't pretend that one stack fits every problem. We start each project by understanding what you actually need, then design, verify, implement, and evaluate — step by step, together.
Start a conversation
Tell us about your business case.
Share the problem, the context, and the outcome you're after. We'll reach out to start the conversation.
Fill out our intake form →The form takes about 5 minutes. We'll get back to you shortly.