OpenAI, Claude or Gemini? Criteria for Enterprise LLM Selection
How to choose between OpenAI GPT, Anthropic Claude and Google Gemini for enterprise use: data residency, cost, context length, tool use, compliance, lock-in.
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Generative AI & LLM Integration
We connect large language models (LLMs) to your ERP, CRM, document management and internal applications. A multi-model architecture routes each task to the best-fit model, optimizing cost and latency. Every integration ships with logging, access control, data masking and quality evaluation built in.
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Service area: Ankara, all of Türkiye and international clients (remote).
What we deliver
- OpenAI, Azure OpenAI, Anthropic Claude and Google Gemini API integration
- Multi-model routing and fallback
- Prompt engineering and structured (JSON) output design
- PII masking and security guardrails
- Cost, latency and quality monitoring dashboards
- On-premise open-source model deployment
Outcomes you can expect
- Production-ready LLM services
- Measurable quality metrics
- Predictable cost
Frequently asked questions
Will our data be used to train the models?
Under enterprise API and cloud agreements, data is not used for training by default. We still verify contracts and settings on your behalf and can deploy on-premise models when required.
Which model should we choose?
There is no single best model. We benchmark on your tasks against data sensitivity, cost and latency requirements; most projects combine more than one model.
Can it integrate with our existing software?
Yes — via REST/GraphQL services, message queues or direct database connectors into your current stack.
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