Put AI to work on real business problems
We build customer-facing AI features, autonomous agents that take on repetitive work, and data pipelines that connect modern AI to your existing databases.
Every AI model and workflow is tested directly on your real business cases, customer questions, and proprietary files before production deployment.
From discovery sprint to live testable feature.
Built and tested natively for Arabic and English.
Under your control, zero training on your data.
Empirical benchmarks against real business cases.
Prokoders adds AI features to products and internal tools for modern enterprises and high-growth businesses worldwide: Arabic and English assistants grounded in company data (retrieval-augmented generation), semantic search, document extraction, classification and drafting. Each feature is tested against real business cases before launch.
Your customers ask the same questions all day, and the answers are already in your documents.
Your team re-types data from invoices, contracts and forms.
You tried an AI chatbot. It sounded confident and got things wrong.
Answers people can trust.
Assistants that answer from your content and say when they don't know.
Hours back every week.
Documents read, sorted and filled in automatically.
Arabic that actually works.
Built and tested on Arabic questions and documents, not just English.
What we deliver
AI-Powered Product Features · AI Agents & Workflow Automation · Systems Integration & APIs
AI Assistants Trained on Your Content & Data
Assistants that answer exclusively from your verified company content, documents, and databases. Citing exact source paragraphs, admitting when they do not know, and tested on real Arabic and English benchmark cases before launch.
- Hybrid RAG pipelines connected directly to your documentation
- Native Arabic and English language understanding & evaluation
- Direct source citation links with zero hallucinations defense
- Complete telemetry dashboard tracking queries, latency and cost
AI Agents & Workflow Automation
Supervised agents that triage customer requests, run multi-step database actions, and stage outputs for human sign-off.
Systems Integration & APIs
Connect modern AI models and web applications directly into SAP, Oracle, SQL databases, and internal enterprise architectures.
Our rule: Grounded in your data, tested on your real cases.
AI should never guess. We build comprehensive evaluation test sets from your real business records and measure accuracy, latency, and running cost before anyone relies on it in production.
AI Feature Sprint (3–4 weeks)
Take one concrete AI use case from idea to production-ready software in 3 to 4 weeks. Fixed scope, fixed price, evaluated on your real data, with human approval checkpoints and telemetry from day one.
How it works
A 4-step engineering roadmap from identifying the high-volume use case to live production measurement.
Pick the use case
Identify the one with the clearest volume, operational payoff, and immediate measurable ROI.
Build a test set
Gather real questions, documents, and edge cases from your business to benchmark accuracy.
Build and integrate
Embed the feature directly into your product, CRM, or internal portal with strict guardrails.
Measure and launch
LaunchTrack accuracy, latency, user adoption, and token running costs from day one on live dashboards.
What you get
Concrete production deliverables tested and benchmarked on your real client records.
Live AI feature in your product
Production-ready code connected to your systems, fully owned by your company.
Test set & quality report
Empirical benchmark results showing exact accuracy and hallucination defense metrics.
Usage & cost dashboard
Real-time telemetry tracking queries, response latency, and inference cloud spend.
Safeguards & limits documentation
Clear governance manuals, redaction policies, and fallback protocols for your team.
Typical use cases
Three high-volume business problems where tailored AI features deliver immediate operational payoff.
Student & Course Questions
Invoices & Paperwork Extraction
Document & Knowledge Search
FAQ (AI)
Direct answers on Arabic support, retrieval-augmented generation (RAG), preventing hallucinations, and proprietary data privacy.
Discuss your company's documents, privacy needs, and feasibility directly with an AI engineer.
Want to see it on your own data?
Tell us what AI feature you want working in your product. We'll show you how it works on your data and what it costs to build and run.
- 1Direct reply from a senior AI engineer within 24 hours
- 230-minute discovery call to evaluate data feasibility
- 3Fixed-price proposal for a 3–4 week AI Feature Sprint