AI where it makes sense
Integrate OCR, speech-to-text, embeddings, and LLMs without building the infrastructure yourself.

Integrate OCR, speech-to-text, embeddings, and LLMs without building the infrastructure yourself.

Connect LLMs and APIs seamlessly, with full control over how intelligence is applied.
Avoid unpredictable answers. Control how models interact with your data.
Integrate your own LLMs or third-party APIs without heavy lifting.
Adapt AI to your use cases, from simple automations to enterprise pipelines.
Built-in pipelines convert scanned documents, images, and audio recordings into structured text ready for indexing and analysis.


Run entity recognition and linking automatically, so documents and transcripts become part of the connected knowledge graph.
Plug into OpenAI, Anthropic, Hugging Face, or on-prem models. Inference APIs handle embeddings, Q&A, and classification out of the box.


Retrieval-augmented (RAG) and knowledge-augmented (KAG) pipelines combine precise retrieval with LLMs, so generated answers stay accurate and verifiable.
Define multi-step agents that call Curiosity search, graph, and AI services — enabling automated workflows without glue code.
