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Artificial Intelligence
AI Agents & Automation for Real-World Workflows
We build AI agents and automations for development teams, support teams and operations.
Focus on embedded & software-intensive industries (industrial, automotive, railway, robotics, IoT).
Goal: turn repetitive workflows into autonomous, measurable, and reliable processes.

Challenges in the industry today
Lack of standardization and compliance regarding LLMs.
Need for additional qualified personnel
High volume of repetitive, focus-intensive tasks (e.g. testing, documentation).
Debugging and error analysis become increasingly complex for large-scale projects.
Company knowledge is spread across multiple teams and individuals.
On-boarding processes are complex and could be streamlined.
AI That Delivers Real Results
We build Artificial Intelligence that works in the real world.
From powerful Large Language Models to advanced Machine Learning systems, we turn data, language, and automation into measurable business impact.
Not all AI is the same. We don’t sell generic tools or one-size-fits-all models.
Benoli Tech designs custom AI solutions that fit your workflows, your data, and your goals—so you get results, not experiments.

AI Powered by Large Language Models
We harness the latest Large Language Models to help your business understand, generate, and act on information faster than ever.
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Custom AI Assistants for customer support, internal operations, and knowledge management
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Document Intelligence: summarisation, classification, extraction, and search across large document sets
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Workflow Automation using natural language instructions
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Domain-specific AI fine-tuned to your data, terminology, and business rules
Machine Learning That Drives Decisions
Beyond language, we build Machine Learning systems that predict outcomes, optimize processes, and uncover hidden patterns.
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Predictive analytics and forecasting
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Recommendation and personalization systems
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Anomaly and fraud detection
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Image, signal, and structured data analysis
Combining LLMs and Machine Learning
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