AI Transformation

We implement AI that creates real business impact.

At Saham, we design and integrate bespoke AI tools. We link Large Language Models (LLMs like GPT-4, Claude, Gemini) with corporate knowledge bases (RAG), deploy autonomous agent workflows, and program computer vision models.

70%

Task automation average

340 Hours

Monthly administrative hours saved

5+

Custom LLM systems deployed

99.2%

Inspection model precision

Our AI integration capabilities

We bridge the gap between the latest artificial intelligence research and practical daily business operations.

LLM Customization

Integrating APIs (OpenAI, Anthropic, Gemini) with local system logic to categorize, summarize, and route text strings.

Corporate Knowledge Bases

Designing Retrieval-Augmented Generation (RAG) vector pipelines. Allowing staff to query internal documents safely.

Autonomous Agents

Setting up background agent scripts that execute multi-step routines: parsing emails, updating database tables, and generating files.

Computer Vision QC

Deploying object detection cameras in manufacturing units to automatically log defective products in real-time.

Predictive Models

Training machine learning regression pipelines to identify asset wear patterns and trigger preemptive alerts.

Secure AI Hosting

Configuring private, on-premise open-weight models (Llama 3, Mistral) to satisfy strict data sovereignty requirements.

AI case study

AI Manufacturing Automation

We designed a complete visual inspection AI system for a leading manufacturing client. Deployed directly on edge camera hardware, the custom models automatically log assembly discrepancies with 99.2% accuracy, eliminating manual QC overheads.

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AI Integration FAQ

Yes. We integrate enterprise API subscriptions (which contractually guarantee that your query content is never used to retrain public models) or deploy private open-weight models (like Llama-3) on your own secure cloud hardware.

We typically build a proof-of-concept (PoC) in 3 to 4 weeks to validate model feasibility. Deploying the production-grade integration, including UI components, API connectors, and security permissions, takes an additional 6 to 12 weeks.

Explore AI potential in your business

Schedule a technical scoping session. We help define viable use cases with measurable ROI.

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