Which Proprietary AI Model Should Run Your Enterprise System in Autumn 2026?
Nine proprietary models from four vendors: list price, cache reads, context window, clouds and EU data handling. When is each the reasonable choice?
AI consulting and development for businesses
Invoices, documents, customer service and internal knowledge. We build AI systems and connect them to your existing tools, from the initial assessment through ongoing operation.
operational efficiency gain
in annual client savings
client satisfaction rate
years of hands-on team experience
73% reduction in processing time
94% defect detection vs. 60% before
78% adoption rate in first month
A few projects we've worked on. Clients are anonymized, the results are real.
The company processed around 2,000 supplier invoices per month in 6 different currencies. Their finance team spent 3 full days each month on manual data entry and purchase order matching, leading to delays, errors, and bottlenecks at month-end close.
The manufacturer's existing camera system detected only 60% of solder joint defects on PCB assemblies. Manual inspection added 3 minutes per board, creating a production bottleneck. Defective boards that slipped through caused costly rework and customer returns.
Policy documents, compliance guides, and product specifications were scattered across SharePoint, shared drives, and individual inboxes. New hires took months to become productive, and even experienced staff spent significant time searching for the right document or asking colleagues.
No two businesses are the same. We fine-tune open-source and enterprise AI models to your domain, then integrate them with the tools you already use.
Custom-built document processing pipelines using fine-tuned open-source models, paired with RPA for end-to-end automation. Handles unstructured data, invoices, contracts, and more.
RPA enhanced with AI-powered decision making. We combine the reliability of automation platforms with the intelligence of modern AI models.
Custom AI assistants trained on your industry data and internal knowledge bases. Your team gets instant, accurate answers without searching through documents.
Autonomous AI agents that orchestrate complex multi-step workflows. Built on proven frameworks for reliable, transparent operations at scale.
We add AI capabilities to your existing ERP, CRM, and enterprise systems — without ripping and replacing. Secure APIs, robust authentication, zero downtime.
Custom vision systems for product photography, quality inspection, and marketing content. Fine-tuned models that understand your brand and your standards.
Every solution starts with your specific bottleneck. We don't sell generic AI — we engineer systems that fit your workflows, your data, and your team.
We integrate GPT-5.6, Claude Opus 5, Gemini 3.6, and custom fine-tuned models directly into your business processes — from content generation to complex decision support.
End-to-end process automation with Blue Prism and UiPath. We identify the highest-impact manual workflows and automate them first.
Self-directing AI workflows that adapt in real time — handling exceptions, making decisions, and escalating only when needed.
Multichannel AI support that handles voice and text queries around the clock — freeing your team to focus on high-value interactions.
Each stage has a defined purpose and outcome, from the first conversation to a working system.
Review your process
We review the task and your current process. We identify where automation could help and tell you if a simpler solution would be enough.
From HUF 500,000 + VAT
You receive a prioritized list of processes to automate, with cost and payback estimates. The written plan is yours to use, including with another provider.
What does the assessment include?Separately scoped proposal
We test the solution on one selected process. We measure results and errors before you decide on full implementation.
Integration, training and support
We connect the system to your existing tools, train your team and maintain it. You retain the source code, models and data.
Leventech Solutions was founded on a simple idea: AI should solve real problems, not create new ones. Delivery is carried by a full team — project managers, senior developers, and an AI DevOps engineer — shipping solutions that are production-ready from day one. Over 13 years our team has helped businesses across industries turn AI from a buzzword into a competitive advantage.

Levente Illés
Founder & Lead AI Consultant
I led a multinational corporation's global automation and AI centre of excellence for five years ($6M+ annual savings, 20+ person international team), guided AI adoption at European enterprises as a consultant, and have been building production systems since 2013. I bring the same engineering discipline to small and mid-sized business projects: a measurable goal, a pilot, then production. I also have experience with high-risk AI system implementations — we run the EU AI Act risk classification at the start of every project.
We are engineers: from Budapest, we build, deploy, and maintain production AI systems for SMEs and enterprises. EU AI Act risk classification is part of every project. Our clients choose us for hands-on expertise, transparent pricing, and solutions that deliver ROI within months.
Source code, trained models, data pipelines — all yours. No lock-in. If we part ways, you keep it all.
We don't hand over a system and disappear. Ongoing monitoring, retraining, and support are part of how we work.
If a simpler solution works better, we'll say so. We've talked clients out of AI projects and built them something cheaper that worked.
On-premise and private cloud deployment available. Open-source models that run on your infrastructure. No data leaves your environment.
“The system paid for itself in under 3 months. We process 4x the volume with half the errors.”
“They told us upfront that one of our processes didn't need AI — just a better script. Saved us a lot of money. That's when we knew we could trust them with the bigger project.”
“Other vendors showed us demos. Leventech showed us our own data, processed, with the error rate measured. That was the difference.”
Ready to get similar results?
It depends on scope. A document processing system typically runs €30-80K. An AI assistant or integration project is usually €15-40K. We'll give you an exact quote after the first conversation — no surprises.
Most projects go from kickoff to production in 6-12 weeks. A small proof of concept can be ready in 2-3 weeks. We scope realistically — if we say 8 weeks, it ships in 8 weeks.
Yes. Everything we build — source code, trained models, data pipelines — belongs to you. No vendor lock-in, no proprietary platforms. If we part ways, you keep everything.
Yes. We deploy on-premise or on your private cloud infrastructure when needed. We use open-source models (Meta Muse, Qwen3.8, Mistral Large 3) that run entirely on your servers. Your data never leaves your environment.
That's fine. We'll tell you honestly. Sometimes the answer is a simple script, a better database query, or fixing the upstream data quality. We don't sell AI for the sake of AI.
Based on our 46+ completed projects, AI automation typically achieves a 40-45% operational efficiency increase. Clients commonly realize $1M+ in annual savings, primarily from automating manual data entry, document processing, and customer support workflows. Typical ROI timeframe is 6-12 months.
We select models by task and cost-effectiveness. For enterprise applications we integrate GPT-5.6, Claude Opus 5, and Gemini 3.6. For cost-sensitive or on-premise deployments we use open-source models: Meta Muse, Qwen3.8, DeepSeek V4, and Mistral Large 3. For agentic workflows we use LangGraph, CrewAI, and LangChain.
Yes. The entry point is an AI opportunity assessment from HUF 500,000 + VAT: it shows which of your processes can be automated, what that costs, and how fast it pays back. Details are on our AI Consulting for SMEs page.
The AI opportunity assessment. It is a standalone deliverable: a prioritized list of automation opportunities with cost and payback estimates — a written plan you can use even if you continue without us.
Still have questions?
Lessons from building AI systems.
Nine proprietary models from four vendors: list price, cache reads, context window, clouds and EU data handling. When is each the reasonable choice?
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Same list price, cache reads at a quarter on Fable 5.1, and a different leader depending on who ran the benchmark. When each model is the reasonable choice.
Tell us briefly about the task. We will reply by email to arrange an initial conversation.
The next step is the AI opportunity assessment: from HUF 500,000 + VAT.
In the first conversation we review the task, your existing systems and the outcome you need. Then we discuss whether a detailed assessment would help. We provide a proposal before any paid work.
Or reach us directly:
[email protected]
Monday-Friday, 9:00-17:00 CET