Commercial Landing Page
AI Software Development
Makrops builds production-grade AI software around LLMs, RAG, AI agents, computer vision and workflow automation.
What we build
Document assistants, internal knowledge bots, support chatbots, recommendation systems, computer vision models and multi-step AI agent workflows.
Why this page exists
GSC already shows impressions for AI/ML commercial queries. This page exists to target that intent directly with a dedicated offer.
Delivery model
Data audit, risk review, PoC, evaluation, security controls and production deployment.
Frequently Asked Questions
What is the difference between an AI chatbot and RAG architecture?
A chatbot is just the chat UI; RAG (Retrieval-Augmented Generation) is the enterprise retrieval backbone that connects LLMs to your private PDFs, databases, and ERPs without hallucinations.
Is our proprietary data used to train public AI models?
No. We deploy enterprise endpoints (Azure OpenAI, AWS Bedrock) that contractually prohibit data retention for model training, or host air-gapped open-source models (Llama 3, Mistral) on-premise.
What are typical AI project timelines and costs?
PoC validation ships in 3–6 weeks ($10,000–$25,000); enterprise RAG and autonomous agent workflows ship in 6–12 weeks ($25,000–$80,000).
What workflows can autonomous AI Agents automate?
Document indexing, ERP invoice entry, natural language SQL queries, CRM ticket triaging, and multi-step customer support escalations.
What are ongoing monthly LLM token costs?
Internal corporate assistants typically consume $50–$300/month in API tokens. On-premise self-hosted models incur zero token fees.
Do clients retain full ownership of AI pipelines and prompts?
Yes. 100% of orchestration code, prompt blueprints, and vector index configurations transfer upon delivery.
Let’s scope your project
In a 30-minute discovery call we clarify scope, timeline and the right delivery model.
Request a Free Call