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Unlock the potential of AI for your organization. Our AI solutions leverage cutting-edge machine learning, deep learning, and generative AI to automate processes, extract insights, and create intelligent experiences. From predictive analytics to conversational AI, we help businesses harness the transformative power of artificial intelligence.
Enterprise-grade AI solutions that transform data into actionable intelligence and automate complex processes.
Custom ML models tailored to your data and business objectives. Predictive analytics that drive decisions.
Custom ML models tailored to your data and business objectives. Predictive analytics that drive decisions.
Build intelligent chatbots, sentiment analysis, and document processing systems that understand context.
Build intelligent chatbots, sentiment analysis, and document processing systems that understand context.
Image recognition, object detection, and video analytics powered by deep learning.
Image recognition, object detection, and video analytics powered by deep learning.
LLM integration, content generation, and AI-powered creative tools using GPT, Claude, and custom models.
LLM integration, content generation, and AI-powered creative tools using GPT, Claude, and custom models.
Detect anomalies, surface actionable insights, and support confident data-driven decisions.
Detect anomalies, surface actionable insights, and support confident data-driven decisions.
MLOps pipelines, model deployment, monitoring, and scaling for production AI systems.
MLOps pipelines, model deployment, monitoring, and scaling for production AI systems.
Custom ML models tailored to your data and business objectives. Predictive analytics that drive decisions.
We apply AI to solve complex challenges across diverse industries.
Automate repetitive tasks with intelligent workflows that learn and improve over time.
Understand customer behavior, predict churn, and personalize experiences at scale.
Medical image analysis, patient risk prediction, and clinical decision support systems.
Fraud detection, algorithmic trading, risk assessment, and regulatory compliance.
Product recommendations, customer journey personalization, and intelligent merchandising.
Quality control, assistant-led operations, and AI-supported production visibility.
Artificial intelligence is no longer exclusive to Big Tech. With the right implementation and integration, companies of every size, from mid-market businesses to large enterprises, can extract measurable efficiency gains from AI. At Makrops, we build production-ready solutions across generative AI, large language models (LLMs), machine learning, and computer vision, focused on deployment, not demos.
Document processing and data extraction, customer service automation, demand forecasting, quality control, recommendation systems, and anomaly detection are among the highest-ROI AI application areas. That said, not every problem needs AI: some situations are better solved with simpler rule-based automation or a structured analytics dashboard. We help you distinguish between the two before any code is written.
Integrating large language models like GPT, Claude, and Gemini into existing workflows, when configured properly, delivers dramatic productivity gains. Using RAG (Retrieval-Augmented Generation) architecture, we connect company-internal knowledge bases to LLMs, building assistants that produce accurate, contextually grounded responses. For scenarios requiring custom fine-tuning, we develop models trained on domain-specific data.
The most critical success factor in AI projects is data quality and integration realism. Makrops begins every AI engagement with a technical audit of existing systems and data pipelines. Models validated in staging are deployed to production with monitoring and retraining pipelines in place, because an AI system that degrades silently is worse than no AI at all.
Let's explore how artificial intelligence can transform your business and give you a competitive advantage.
Key insights on enterprise Large Language Models, RAG vector architectures, autonomous AI agents, data privacy, and ROI metrics.
Top-performing AI use cases: 1) RAG knowledge assistants querying internal docs, 2) Automated customer support copilots deflecting 50%+ of tickets, 3) Autonomous AI Agents executing multi-step business workflows, 4) Automated document parsing for legal/finance, 5) E-commerce semantic search engines.
RAG connects LLMs directly to your private enterprise databases and documents. Instead of hallucinating from public data, the model retrieves verified internal facts in real time, eliminating factual errors while preserving confidentiality.
Yes. We use enterprise API agreements (Azure OpenAI, AWS Bedrock, GCP Vertex) that contractually prohibit using client data for model training. For strict security, we deploy open-source models (Llama, Mistral) in air-gapped on-premise setups.
Technical feasibility & PoC: 2–4 weeks. Production-ready MVP: 6–8 weeks. Full enterprise-scale deployment with CRM/ERP integrations: 10–16 weeks.
Discovery & PoC validation: $5,000–$20,000. Production RAG knowledge assistants: $20,000–$80,000. Multi-agent autonomous workflow systems: $80,000–$250,000+.
We build model-agnostic architectures across OpenAI (GPT-4o, o1), Anthropic (Claude 3.5), Google (Gemini 1.5), Meta (Llama 3), and Mistral, orchestrating with LangChain, LangGraph, LlamaIndex, Pinecone, Qdrant, Weaviate, and pgvector.
An AI Agent is an autonomous system capable of breaking down high-level business goals, formulating action plans, querying databases, executing APIs, and validating results with human-in-the-loop oversight.
RAG is faster, cheaper, and always up-to-date for internal Q&A and knowledge retrieval. Fine-tuning is reserved for teaching models unique stylistic tone, specialized syntax, or proprietary code formats.
No. We build automated data ingestion, chunking, and embedding pipelines to normalize legacy PDFs, Word files, and SQL databases into vector indexes.
We apply automated PII redaction and deploy across European (Frankfurt), US, or on-premise regional clusters with end-to-end encryption.
We deploy automated evaluation frameworks (Ragas, TruLens) and human-in-the-loop test suites to track hallucination rates, latency, and token economics.
Yes. We build bidirectional integrations with Salesforce, HubSpot, SAP, Zendesk, Jira, and custom REST/GraphQL systems.
Internal enterprise assistants typically incur $50 to $500/month in API tokens. For high-volume applications, self-hosted open-source models keep operational costs predictable.
Yes. We build real-time voice agents combining Whisper, ElevenLabs, and low-latency LLM streaming for automated telephony customer service.
Yes. All prompt templates, orchestration code, RAG embeddings, vector configurations, and API bridges are 100% transferred upon delivery.
Schedule an AI discovery call at calendar.makrops.com/info/gorusme to evaluate your use cases with our AI research and engineering squad.