// APPLIED ARTIFICIAL INTELLIGENCE
AI Implementation
Practical AI that pays for itself.
Artificial intelligence is not a magic trick — it's a lever. We identify the processes where AI genuinely saves money or creates revenue in your business, then implement it with production-grade rigor. No demos that break in the real world; systems that work under real load with real users.
From integrating large language models into your product to training custom models on your data, we cover the full spectrum — always with evaluation frameworks, monitoring and privacy controls built in from day one.
WHAT WE IMPLEMENT
LLM Integration & Prompt Systems
GPT, Claude and open-source models wired into your product with structured prompts, guardrails and caching.
Custom AI Agents
Autonomous agents that research, plan and execute multi-step tasks — from sales outreach to ops coordination.
RAG — Chat With Your Data
Ask questions in natural language over your documents, wikis and databases with accurate, cited answers.
Document Intelligence
OCR and extraction pipelines that turn invoices, contracts and forms into structured, searchable data.
Predictive ML Models
Demand forecasting, churn prediction, pricing optimization and recommendation systems trained on your data.
MLOps & Monitoring
Model versioning, performance dashboards and drift alerts so your AI keeps its quality over time.
WHAT YOU GET
- AI features running in production, not just prototypes
- Evaluation suite with measurable accuracy targets
- Privacy controls — your data never trains public models
- Monitoring dashboard for cost, latency and quality
- Documentation and playbooks for your team
- Training session so your team can operate the system
COMMON QUESTIONS
Not necessarily. LLM-based solutions work well with little or no training data. For custom machine learning we start with a data audit and tell you honestly what's possible — sometimes a small, clean dataset is enough.
We sign NDAs by default, use enterprise APIs that don't train on your data, and can deploy fully private models in your VPC or on-premises for sensitive workloads.
We're model-agnostic: OpenAI, Anthropic, Gemini and open-source models like Llama and Qwen. We choose per project based on quality, cost and privacy — never by hype.
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