Private LLM chat for the enterprise
Self-hosted ChatGPT-style assistants for staff, built on Open WebUI or LibreChat with models served by Ollama or vLLM, so prompts and files stay in the organization's own infrastructure.
Data, AI and integration
Data, AI and integration functions implemented with open-source platforms.
RAG knowledge assistant implementation
Retrieval-augmented assistants that answer from internal documents with citations, built on RAGFlow, AnythingLLM, Dify or Open WebUI with a self-hosted vector database.
Self-hosted AI gateway
A gateway such as LiteLLM or Apache APISIX between applications and model providers for routing, keys, budgets, guardrails and logging, run in the organization's own infrastructure.
Open source LLM observability
Tracing, evaluating and monitoring LLM applications with self-hosted Langfuse or Phoenix so prompts, outputs and costs are recorded in the organization's own storage.
Self-hosted workflow automation
Automating integrations and business tasks with n8n, Node-RED or Temporal in the organization's own infrastructure, with credentials and execution data kept on premises.
Open source BPM and process orchestration
Modeling and running BPMN processes, cases and human tasks with Flowable or Camunda, integrated with existing systems and run in the organization's own infrastructure.
Open source API management
Running an API gateway and management layer with Apache APISIX or Kong in the organization's own infrastructure, covering authentication, rate limiting, observability and partner access.
Open source data pipelines
Ingestion, streaming and orchestration with Airflow, Dagster, Airbyte, Kafka and NiFi in the organization's own infrastructure, from source systems to warehouses such as ClickHouse.
Open source embedded analytics
Embedding dashboards in a product, portal or intranet with Apache Superset or Metabase, with row-level security, SSO and the licensing that governs distribution.
Open source data catalog
A metadata catalog with DataHub or OpenMetadata for discovery, lineage, ownership and governance across the data estate, or CKAN where the goal is a published data portal.
Self-hosted LLM inference platform
Running open-weight language models as a shared internal service on the organization's own GPUs or servers with vLLM, Ollama or llama.cpp, so applications call an OpenAI-compatible endpoint that never leaves its infrastructure.
Self-hosted LLM guardrails
Input and output controls that run in the organization's own infrastructure around language models, built on NeMo Guardrails or Guardrails AI and enforced at an AI gateway, to block prompt injection, data leakage and unsafe output.
Self-hosted vector database
Storing and searching embeddings for RAG, semantic search and recommendations on self-hosted Qdrant, Milvus, Weaviate or PostgreSQL with pgvector, so document-derived vectors stay in the organization's infrastructure.
Open source event streaming
Real-time event streaming and messaging between systems on self-hosted Apache Kafka, Apache Pulsar, NATS or RabbitMQ, run in the organization's own data centers or cloud accounts instead of managed streaming services.
Open source data lakehouse
Analytical data platforms on open table formats such as Apache Iceberg or Delta Lake over self-hosted object storage, queried with Trino, Spark or ClickHouse, instead of a proprietary cloud warehouse.
