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Advisory & Consultancy

Model & Framework Selection

Strategic evaluation between public APIs (OpenAI/Claude) vs. private open-weight models (Llama 3/Mistral), alongside framework choices (LangGraph vs. CrewAI).

What's included

  • Public API vs. Open-Weight Models — comparative analysis of OpenAI GPT-4o / Claude 3.5 vs. Llama 3 / Mistral for latency, cost, and security.
  • Framework Evaluation — architectural comparison of LangGraph, CrewAI, LangChain, and custom orchestration pipelines.
  • Benchmarking & Proof-of-Concept Tests — evaluating accuracy, speed, and token cost on your actual business datasets.
  • Build vs. Buy vs. Fine-Tune — clear recommendation on whether to adopt off-the-shelf APIs, build custom agents, or fine-tune models.
  • Vendor Lock-in Mitigation — designing model-agnostic abstraction layers so you can swap foundation models seamlessly.
  • Total Cost of Ownership (TCO) Projections — 12-to-36 month cost modeling comparing API usage against self-hosted infrastructure.
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