APPLIED AI
Accelerating innovation and intelligence through applied AI.
Artificial Intelligence and data engineering are redefining how businesses operate, scale, and compete. At Hesli, we help organizations turn their data into strategic advantage — automating manual processes, predicting outcomes, and personalizing experiences with precision.
We approach AI not as an experiment, but as an engineered system — blending real-world development with emerging models like LLMs (Large Language Models) and SLMs (Small Language Models). Our focus is on impact, efficiency, and scalability — helping clients adopt AI that’s powerful, sustainable, and cost-effective.
A roadmap before the model.
AI Strategy & Planning
Every successful AI initiative begins with clarity. We guide clients through defining measurable goals, identifying automation opportunities, and selecting the right model strategy — whether that means leveraging an existing LLM, deploying a fine-tuned SLM, or training a hybrid architecture.
Our strategic approach ensures each AI investment aligns with business outcomes and budget constraints, without over-engineering or overspending.
Core Expertise:
- AI Readiness Assessments & ROI Analysis
- Use Case Prioritization & Model Selection (LLMs vs. SLMs)
- Cost Optimization & Model Efficiency Planning
- AI Governance & Data Ethics
Intelligent systems designed for your business
Applied AI Solutions
We develop and integrate AI models that fit your workflows, not the other way around. From predictive analytics to conversational interfaces and knowledge retrieval, our solutions use SLMs and domain-tuned models to deliver accuracy and speed while minimizing compute costs.
Core Expertise:
- Custom Model Development & Fine-Tuning (OpenAI, Anthropic, Gemini)
- SLM Architecture for On-Premise or Private Cloud Environments
- Predictive, Generative, and Conversational AI Systems
- AI-Driven Process Automation
Building the foundation for intelligent systems
Data Infrastructure & Engineering
AI is only as effective as the data it learns from. We design modern, scalable data architectures that enable clean, real-time access to business-critical information. From ingestion to transformation, our engineers create data ecosystems ready for AI and machine learning.
Core Expertise:
- Data Pipeline Design & ETL Automation
- Real-Time Data Streaming & API Integration
- Data Lake & Warehouse Architecture (AWS, GCP, Azure)
- Secure, Compliant Data Management
From prototype to production — efficiently.
Model Training & Deployment
We help clients move from concept to operational AI. Using structured experimentation, model fine-tuning, and SLM compression techniques, we reduce training costs while maintaining high performance. Once validated, we integrate models into intuitive applications and automate retraining pipelines to ensure continued accuracy.
Core Expertise:
- Fine-Tuning & Transfer Learning (LLMs & SLMs)
- Model Compression & Quantization for Cost Efficiency
- Continuous Validation, Bias Testing, and Monitoring
- Deployment via API or Embedded Systems
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