Bigfinite
Bigfinite (now Aizon) is a B2B SaaS provider of AI-powered manufacturing intelligence for pharmaceutical manufacturers and CDMOs. The platform turns GxP manufacturing process data into ML-driven recommendations to improve yield, reduce deviations, and prevent batch loss without replacing existing MES, LIMS, or historian systems. Its product stack spans Aizon Execute (intelligent electronic batch records), Aizon Unify (a GxP manufacturing data platform with ALCOA++ integrity), Aizon Predict (operationalized ML for yield optimization, CPV, and predictive quality), and Aizon Agentic Studio (a natural-language application builder). Aizon runs single-tenant on AWS and maintains ISO 27001, ISO 27017, SOC 2, GDPR, HIPAA, FDA 21 CFR Part 11, and EU GMP Annex 11 compliance. Surfaced as a 500 Global portfolio company and enriched from public web surfaces; the company publishes no public API.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Bigfinite the way a machine reads it — 2 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Bigfinite scores 19.3/100 (emerging), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Bigfinite
Each block below is one kind of artifact we hold for Bigfinite. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Bigfinite Trust Center
ISO 9001, ISO 27001, ISO 27017, SOC 2, GDPR, HIPAA, FDA 21 CFR Part 11, EU GMP Annex 11, NIS2
SECURITYResources
Every other property we hold for Bigfinite — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Access & Security 3
Authentication, authorization, and security posture
Operate 1
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
← All providers · Data indexed from github.com/api-evangelist/bigfinite · machine-readable index on apis.io