Biolevate
Biolevate is an AI Knowledge Platform accelerating life sciences. Its Elise platform connects to an organization's document storage backends (S3, Azure, GCS, SharePoint, SFTP, local), indexes documents with AI, and runs asynchronous Question Answering, Extraction, Multi-Dimensional (entity/tabular) Extraction, Find-Similar and Agent jobs over them. Target workflows span regulatory affairs, R&D, industry and post-market: systematic literature review, Clinical Study Report (CSR) and CTD assisted generation, batch-record quality control, results extraction, HTA support, pharmacovigilance PSUR updates and regulatory intelligence. Biolevate ships a public REST API (OpenAPI 3.1), a Python SDK (`biolevate`) and a CLI (`ozk`). Backed by EQT Ventures.
Biolevate publishes 9 APIs on the APIs.io network, including Agent API, Collections API, Extraction API, and 6 more. Tagged areas include Company, Artificial Intelligence, Life Sciences, Regulatory Affairs, and Document Intelligence.
Biolevate’s developer surface includes documentation, API reference, getting-started guide, authentication, CLI, changelog, engineering blog, and 22 more developer resources.
Kin Score
APIs 9
Individual APIs this provider publishes, each with its own machine-readable definition.
Biolevate Agent API
Conversational agent jobs
Biolevate Collections API
Collection resource management
Biolevate Extraction API
Extraction resource management
Biolevate Files API
EliseFile resource management
Biolevate Find similar files API
Find similar files locally and via remote bibliographic search
Biolevate Multi-Dimensional Extraction API
Multi-dimensional (entity / schema-based) extraction resource management
Biolevate Provider Items API
File and folder operations on storage providers
Biolevate Providers API
Storage provider management (read-only)
Biolevate Question Answering API
Question Answering resource management
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MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
biolevate-mcp.yml
MCP SERVERSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 1
Portal, sign-up, and the first successful call
Documentation 3
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 6
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 1
Properties that don't map to a standard resource type