Everything in the catalog

Elasticsearch as a vector database, combining vector search with hybrid lexical search, filters and reranking.

Managed Ray platform for distributed training, batch inference and data processing on GPU clusters.

Open-source tool that converts PDFs, images and Office files to markdown, JSON, chunks and HTML.

Open-source durable execution platform for building reliable applications and AI agents.

Platform that turns PDFs, tables, forms and scans into structured, agent-ready data.

Orchestration platform for AI agents, background tasks and durable workflows.

Open-source, self-hostable orchestrator for agent workloads built on durable Actors.

CPU and GPU machines and sandboxes for agents, billed by the millisecond, with VMs that pause with memory intact.

Database for AI with a deep-learning storage format for embeddings, media and datasets, plus vector search.

Web search API for AI applications, available through one API call or deployed inside your own cloud.

Voice AI agents for regulated, high-stakes phone calls, run end to end on Bland's own speech, language and voice models.

One real-time API for voice agents combining speech-to-text, LLM orchestration and text-to-speech, priced at $4.50/hr.

API that parses PDFs and images into grounded Markdown and extracts typed fields with a schema.

Agentic document platform for parsing, extracting, splitting, classifying and editing documents.

Governed platform for every agent, model and tool a company runs, deployable in its own cloud.

Context layer for building AI agents that reason over technical documents and institutional knowledge.

Inference and fine-tuning platform for open-source models, on serverless per-token or dedicated GPU deployments.

Framework-agnostic infrastructure for running long-running agents in production.

Hosted platform for deploying and scaling Pipecat voice and multimodal agents, with autoscaling and observability.

Search database for vector and full-text queries, built on object storage and available as a Python client.

Perpetual sandboxes that idle to standby and resume in about 25 milliseconds, with shared agent storage.

Hosted platform to deploy, observe and manage AI agents built with the open-source Mastra framework.

Vector and hybrid search built into MongoDB, running on the same operational data as the database.

Runtime platform for running agents, sandboxes and production workloads on its cloud or yours.