AI & Generative AI
ML platforms, LLM apps, RAG systems, and agentic workflows.
01 —Overview
We design and deploy production AI systems — from classical ML to LLM-powered products. We build retrieval-augmented generation (RAG) stacks, agentic workflows, evaluation harnesses, and the MLOps tooling to run it all reliably.
02 —Capabilities
What we deliver.
- 01Generative AI applications with LLMs (OpenAI, Anthropic, open-weight)
- 02Retrieval-Augmented Generation (RAG) and vector search architectures
- 03Agentic workflows, tool-use, and multi-step automation
- 04Custom model fine-tuning and evaluation pipelines
- 05MLOps: model serving, monitoring, drift detection, and CI/CD for ML
03 —Tech stack
Tools of the trade.
OpenAIAnthropicLangChainLlamaIndexPineconeWeaviatePyTorchMLflow
04 —Outcomes
- →Production-grade AI features shipped on a measurable cadence
- →Higher answer quality with retrieval, eval, and guardrails
- →Lower run-cost via right-sized models and caching
05 —Related services
Explore further.
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