Data & Technology · Applied AI Engineering
LLMs, RAG and agents that survive enterprise reality.
We build production AI systems not demos. Retrieval that stays accurate, agents that stay in control, and evaluation and guardrails that make it safe to ship into regulated, high-stakes environments.
Agentic RAG pipelineIN CONTROL
01 User query
Retrieve
Hybrid search + rerank
Vector
store
store
LLM + agent tools
Reasoning, tool calls, orchestration
✓
Guardrails & eval
Grounding checks before response
What we deliver
From prototype to production-grade AI.
01
LLM applications & copilots
Domain copilots and assistants embedded into real workflows, with the UX and controls to match.
02
RAG & knowledge retrieval
Grounded retrieval over your data — chunking, embeddings, re-ranking and citations that hold up.
03
Agentic systems & orchestration
Multi-step agents with tools, memory and orchestration — scoped, observable and controllable.
04
Evaluation & guardrails
Eval harnesses, quality gates, safety guardrails and human-in-the-loop review before go-live.
05
MLOps / LLMOps
Deployment, monitoring, prompt & model versioning, cost controls and drift detection in production.
06
Model strategy & tuning
Model selection, routing, fine-tuning and distillation to balance quality, latency and cost.
AI & LLM stack we build with
Production AI, built on the models and tooling teams trust.
OpenAI
LangChain
LangGraph
Pinecone
Vertex AI
ClaudeLlamaIndex
pgvector
AWS Bedrock
Hugging FaceThe AI-native difference
Powered by Praveg AI, delivered by Cyborg Teams.
Agentic SDLC
Plan, build, test, review, ship and operate agents accelerate every stage, humans own the gates.
Safe by construction
Guardrails, evals and human review built in so AI ships responsibly into real operations.
Reusable AI layer
Praveg AI gives a consistent operating layer across use cases, reducing delivery risk.
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