Agentic AI

Agents that do real work.

Multi-agent frameworks on LangChain and LangGraph with RAG, knowledge graphs and MCPs, from data-product automation to agent-driven migrations.

See the 36-agent framework

What we build.

Multi-agent orchestration

With tool calling and MCP.

Retrieval

With RAG, GraphRAG and knowledge graphs.

Guardrails and human-in-the-loop review

Review stays in the loop.

Evals and observability

With Ragas, DeepEval, LangSmith and Langfuse.

Configurable LLMs

Claude, GPT, Gemini, Llama or Mistral.

Bounded agents. Reviewed output.

Bounded agents

Agents act only through defined tools, MCPs and native connectors, with scoped access.

Review at every stage

Review steps for code, pipelines and tests, with human sign-off wherever it's required.

Model and cost control

Configurable LLMs and intelligent token management keep model choice and spend in your hands.

Cloud- and model-neutral

AWS, Azure or GCP; Claude or GPT, to fit your stack.

Works with your stack.

Agentic AI

LangChainLangGraphCrewAIAutoGenLlamaIndexSemantic KernelOpenAI Agents SDKMCPA2ATool callingMulti-agent orchestrationGuardrailsHuman-in-the-loop

GenAI and LLMs

RAGGraphRAGKnowledge graphsPrompt engineeringFine-tuning (LoRA)EmbeddingsClaudeGPTGeminiLlamaMistralHugging Face

AI platforms

Amazon BedrockAmazon SageMakerAzure OpenAIVertex AI

Evals and observability

RagasDeepEvalLangSmithLangfuse

Vector stores

PineconepgvectorWeaviateChromaFAISSOpenSearch

Tools and platforms our team has worked across. No vendor partnership or certification is claimed.

Since 2024Agentic & Generative AI delivery (founder).

Have an open requirement? Let's map it in 15 minutes.

Bring one data, agentic AI or governance requirement, and we will map it to the right engagement model.

hello@soamiq.ai · +91-9599654303 · We reply within 1 business day.