AI For Technical Businesses,
Built By Engineers,
Not Salespeople.
Strategy, engineering, and deployment - end to end.
By engineers who actually understand what the businesses do.
Our Methodology
How We Approach AI
We're engineers who also strategize, not strategists who occasionally engineer, so every phase below is grounded in what we've actually built and shipped ourselves.
Our four-phase methodology ensures every engagement delivers measurable impact.
Readiness Before Roadmap
Before a single line of code or vendor contract, we conduct an AI Readiness Assessment across five dimensions: Strategy, Data, Technology, People, and Governance. The lowest score is what actually limits your outcome - not the highest. Most AI/ML pilots fail not because of model quality, but because organizations bought tools before checking if they had the data, skills, or governance to use them.
Validate Before You Build
Every AI idea goes through our nine-question Use Case Canvas before development begins: business problem, success metrics, data requirements, technical feasibility, team competencies, timeline, costs, and value. It puts real numbers next to enthusiasm - and catches failures on paper instead of in production.
Sequence, Don't Spray
Too many pilots, too little focus. We map every use case by business impact and feasibility. Quick wins with high impact and high feasibility go first to create trust and momentum. High-impact but complex use cases become strategic bets. Low-value projects don't quietly survive just because someone important proposed them.
Engineering Depth, Not Just Strategy
We are engineers who also strategize, not strategists who occasionally engineer. Having built and shipped production AI products ourselves - from visual AI platforms to cross-language RAG systems - we bring hands-on expertise that pure consulting firms can't replicate. That's how real AI transformation happens.
What We Do
Full-Spectrum AI Capabilities
From strategy through deployment, every capability backed by our own production experience building and shipping AI systems, by engineers, for technical businesses.
AI Strategy & Roadmapping
We define actionable AI strategies anchored to your business objectives - starting with AI readiness assessments, use-case definition, and rigorous prioritisation and sequencing. Every initiative is ranked by feasibility, impact, and time-to-value so you invest where it counts.
Agentic AI Systems
We design and deploy autonomous AI agents that interact dynamically with your systems, automating complex multi-step workflows while maintaining reliability and control.
Ready-to-Deploy RAG Systems
We build intelligent document management and search systems that let your team find, retrieve, and act on information across all your files, contracts, and knowledge bases - instantly. No more digging through folders or losing critical information. Powered by the same technology behind our awRAG.io platform.
AI Governance & Structural Assessment
We evaluate your organization's AI readiness at a structural level - identifying governance gaps, data risks, and deployment vulnerabilities before they become costly failures. Responsible AI isn't an afterthought; it's the foundation every initiative must be built on.
AI-Enabled Growth Systems
We architect AI-powered systems that directly drive revenue, retention, and operational efficiency - from intelligent chatbots and conversational interfaces to complete customer management and success platforms. Turning AI from a cost center into a measurable growth engine for your business.
Data Engineering & Pipelines
We architect data pipelines that ingest, transform, and structure data from multiple sources - ensuring your AI systems operate on clean, reliable, well-governed data.
Capabilities in Action
We Don't Just Advise on AI - We Build It
Below are concrete examples of what we can build for your business. Each one grounded in real engineering, not abstract concepts.
Multi-Dimensional & Visual AI Interactions
A professional AI platform powered by proprietary LAICS™ Technology - Laiers Adaptive Intelligent Context Management System - enabling multi-dimensional visual interaction with Large Language Models through branching conversations, visual flow diagrams, and intelligent context optimization.
40%
Time Saved
+37%
Accuracy Gain
50%
Cognitive Fatigue Reduction
Knowledge Storage — AI-Powered Document Intelligence
Cross-language semantic search across 100+ languages, powered by advanced two-stage hierarchical RAG with intent-aware retrieval. The AI-era alternative to Google Drive and iCloud — upload your documents once, ask questions in plain language, and get cited answers built from your files, accessible everywhere via a browser extension on Gmail, Slack, Google Docs, or any AI tool. Private by design: EU servers, encrypted storage, never scanned, sold, or handed over.
95%+
Recall Accuracy
100+
Languages
EU-Based
Data Sovereignty
Automated Reputation Management
An AI pipeline that automatically requests reviews after every completed job, screens negative feedback internally before it reaches public platforms, and connects directly to your Google Business Profile and Trustpilot — so more high-rating reviews surface while problematic ones are handled privately.
Past customers reactivated for reviews
Auto-trigger on completed work
AI sentiment screening & filtering
Google & Trustpilot integration
Positive review amplification
AI-Powered Customer Communication Hub
Incoming inquiries are answered instantly by AI — leads are qualified, meetings are booked automatically into your calendar, and you get real-time notifications so nothing slips through the cracks. No missed calls, no delayed replies, no lost opportunities.
Instant auto-reply to all inquiries
Smart lead qualification
Automatic meeting & call scheduling
Real-time owner notifications
Missed-call voice AI callback
Technical Knowledge Copilot
Feed your documents, manuals, guidelines, and internal knowledge base into a RAG-powered Q&A system that answers customer and team questions accurately from your own corpus — freeing up hours of repetitive support work, especially for solo founders and small teams.
Document & knowledge base ingestion
Q&A on your business corpus
Missing information detection
Accurate source-grounded answers
Continuous learning from updates
AI-Powered Workflow Automation
End-to-end automation of repetitive business processes — from lead intake and quote generation to invoicing and follow-ups. AI agents orchestrate multi-step workflows across your tools, eliminating manual handoffs and reducing errors so your team focuses on work that actually requires human judgment.
Map existing manual processes
AI agent orchestration design
Cross-tool integration & triggers
Automated execution & monitoring
Exception handling & escalation
The Team
Three Minds. One Mission.
We're engineers first, which means we speak your language before we speak AI.
Three leaders with a combined 35+ years across enterprise technology, AI product development, and digital transformation - from Bosch to Liberty Mutual, from AWS infrastructure to production GenAI platforms.
Muhammed Alp
Founder & AI Strategist
Muhammed is an energy systems and thermodynamics engineer, not another AI agency salesperson. He graduated from the University of Stuttgart with an M.Sc. (Dipl.-Ing.) in Thermodynamics and Energy Systems from the Aerospace Engineering Institute, and spent over 15 years working at Bosch and Turkish Aerospace, at the intersection of engineering and innovation. Since 2019, he's been building AI hands-on: computer vision, digital twins, and production GenAI systems using LLM and RAG architectures. Speaking the language of classical thermo-fluid and industrial engineering, he helps technical businesses implement AI that works in practice, not AI theater sold by people who've never touched their industry.
LinkedIn Profile
Qanit Al-Syed
Technology Strategy Advisor
He earned a Master's in Information Technology from Harvard University in the United States, along with degrees from INCEIF University in Malaysia, the University of Michigan in the United States, and Technische Universität Berlin in Germany. A technologist with 15+ years across multiple markets and positions, spanning from developer to Regional CTO, specializing in digital transformation, M&A integration architecture, and deploying AI-enabled engineering workflows for regulated clients.
LinkedIn Profile
Muhammad Muhaimin
Director of Data & IT
He holds an MSc in Computing Science (Big Data) from Simon Fraser University in Canada and a Bachelor's in Computing Science from Queen's University in Canada. As Director of Data & IT at ME SOLshare, he led a multidisciplinary team of 12, defined roadmaps for data infrastructure modernization, and deployed ML-based classification capabilities into production. Previously as CTO at PropCloud, he architected Airflow-based ETL pipelines on AWS, introduced Terraform-driven infrastructure as code, and engineered CI/CD pipelines for FastAPI-based ML model deployment.
LinkedIn ProfileCutting through the noise of AI hype, our mission is clear: strategize and deliver reliable AI technology that survives the real world. Grounded in governance principles, designed to scale, and measured by tangible business impact - that's what we bring to every engagement.
Ready to Move from AI Strategy to AI in Production?
Schedule a discovery call. We'll discuss your AI initiatives, assess where you are, and outline a path forward - informed by real production experience.