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06 / 07

Data & AI

Pipelines, warehouses and applied AI on the data you already have, with models and agents your team can actually run.

What you get_

  • LLM features, RAG and embeddings in production

  • Multi agent systems with Hermes Agent and OpenClaw

  • Computer vision, OCR and document AI

  • Data pipelines, warehouses and search

  • Evaluation, guardrails and handover your team can operate

Nxiom builds applied AI into real products, not demos. That means RAG over your documents, agents that complete work, computer vision on images and PDFs, and the data pipelines that feed them.

We pick the model for the job, OpenAI, Claude, Gemini, open weights or a mix, then we add evaluation so you can tell whether it is actually working after launch. Hermes Agent and OpenClaw sit here when the work should run on its own.

If the problem is visual, we use detection, OCR and document AI. If the problem is knowledge, we use embeddings and retrieval. If the problem is operations, we automate the path with agents instead of another dashboard nobody opens.

Technology

The stack we ship this work with

Models, retrieval, vision, warehouses and the agent runtimes we deploy when the work should run without a person in the loop.

Models & training_

OpenAI
Anthropic Claude
Google Gemini
Meta Llama
Mistral AI
Hugging Face
TensorFlow
PyTorch
Fine-Tuning
Prompt Engineering
Function Calling

Agents, RAG & embeddings_

Hermes Agent
OpenClaw
LangChain
LangGraph
LlamaIndex
CrewAI
AutoGen
MCP
RAG
Embeddings
Pinecone
Weaviate
ChromaDB
FAISS

Computer vision_

YOLOv8 / YOLOv11
Segment Anything
Grounding DINO
CLIP
BLIP / BLIP-2
Florence-2
Detectron2
OpenCV
MediaPipe
EasyOCR
PaddleOCR
Tesseract OCR
Stable Diffusion
FLUX
DALL·E
ControlNet
Real-ESRGAN
Document AI

Warehouses & search_

Snowflake
BigQuery
dbt
Airflow
PostgreSQL
MongoDB
Elasticsearch
Meilisearch
Redis

Next step

Talk to us about data & ai

Describe the workflow you want to automate or the data you want to query. We will recommend a model, a retrieval path or an agent, and what it takes to ship it.