Source: public pages on Aizon site. Company: Bigfinite, Inc. dba Aizon (founded 2014). HQ in San Francisco with an office in Barcelona. Recent funding: Series C $20M announced (Aizon blog, Feb 2024). Primary offering is a suite of products and services for pharma/biomanufacturing including: Aizon Execute (intelligent/electronic Batch Records, digitizes Master Batch Records, enforces workflows and ALCOA+/GxP controls; positioned for fast deployments ~6 weeks to initial value), Aizon Unify (contextualized cloud lakehouse for time-series, structured/unstructured and process data; real-time monitoring, batch comparisons, cross-batch RCA, audit-ready reporting and traceability), Aizon Predict (GMP-ready predictive analytics and real-time process intelligence to optimize CQAs, yield, capacity utilization and continuous process verification; emphasis on industrializing AI models and operationalizing predictive actions), and Aizon Consulting Services (ACS) for implementation acceleration, data integration, model industrialization and ROI-driven engagement. Technical/integration highlights listed on the site: cloud-based GMP-by-design architecture, connectors/ingestion for OPC/SCADA/DCS/LIMS/QMS/ERP and other manufacturing sources, contextual modeling of process/time-series data and scalable lakehouse approach, bidirectional REST API for data access (site notes constraints in some scenarios to preserve data integrity), and security/governance features including IP whitelisting, centralized user monitoring and identity server integration. Compliance and quality posture: explicit GxP/GMP focus with four compliance pillars referenced in FAQs (Quality Management System, Infrastructure Qualification, Data Lifecycle Management/ALCOA+, and AI & Application Lifecycle Management for validation & governance). Electronic signatures and data lifecycle controls are emphasized for regulatory readiness and audits. Implementation timelines (from FAQs/product pages): Execute typical results 6–12 weeks with environment setup ~2 weeks then customization/validation/training; Unify typical 8–12 weeks (varies by scope); Predict typical 2–6 months depending on complexity; ACS engagement model follows Integration → Data exploration → Solution validation (with on-field adjustments) → Impact & scale. Support & training: implementation support, initial and ongoing training, train-the-trainer programs, helpdesk support and partner network. Pricing & licensing: no public fixed pricing or plans on the site; pricing is client-tailored and includes software plus implementation/consulting fees; site indicates no free trial publicly. Customer outcomes / case examples published on the site include: Recordati (1.5% yield improvement in ~3 months using batch comparison analytics), Curia (CDMO) reduced yield variability via automated batch comparisons in Unify, a larger site example claiming up to $20M annual savings on a single product/site via Predict (presented as a case example), and other reported benefits such as faster batch releases, automated PQR generation, improved OEE, reduced variability and shorter investigations. Contact & next steps: contact page with form and office addresses (no public phone/email shown on that contact page excerpt); recommended next steps on the site are to request a demo, ask for references for similar processes and request a tailored proposal including scope, integration plan and TCO/ROI. Source pages used are listed in external links. This description only contains information explicitly present on the cited Aizon pages.