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Knowledge Base & Platform Architecture

Frequently Asked Questions

Clear answers on platform architecture and commercial pricing.

Technical Questions

Scenario configuration, simulation mechanics, and data architecture

How do I set up a PHOR-SEE scenario for my business?
You input a short description of your people and assets, schedules, and the tasks in your processes. The configuration agent helps translate this into a suitable level of detail, building compiled mathematical distributions ready for simulation.
Are there any example PHOR-SEE scenarios?
Yes, there are pre-calibrated scenario templates for a wide variety of businesses and industries—spanning manufacturing, software, dental clinics, retail, logistics, and professional services—that you can explore and use as a baseline starting point to model your own business.
What if I don't know some of the information for a scenario?
CERTAINIUM is specifically designed to handle incomplete information. You can start with broad probability ranges or standard industry defaults, and the platform will highlight which unknown variables actually impact your bottom line through sensitivity rankings. You can refine and update variables continuously as you learn more information.
How does CERTAINIUM integrate with my existing tools and workflows?
CERTAINIUM integrates seamlessly across multiple touchpoints. You can connect it directly into desktop Claude or ChatGPT via the Model Context Protocol (FastMCP) for ambient conversational advisory, import standard quarterly accounting CSV exports, or utilize automated API endpoints for direct ERP/MES telemetry pipelines.
What kind of computational engine powers the simulations?
CERTAINIUM uses a proprietary simulation engine. Rather than relying on static spreadsheets, it runs thousands of parallel simulations of your business actually running. It tests capacity constraints, price elasticities, and operational variances to produce robust financial predictions.
Is my business and financial data kept secure and confidential?
Yes. CERTAINIUM enforces strict zero-data-retention on public LLM layers, Bearer token authorization, and single-tenant VPC options for enterprise deployments. Your models, unit economics, and operational telemetry are strictly private and never used to train external models.

Commercial Questions

Tiers, seats, FastMCP allowances, and billing details

How does the Remote MCP Sentinel work inside Claude or ChatGPT?
By adding CERTAINIUM as a Remote Model Context Protocol (MCP) server in your desktop Claude or ChatGPT client, CERTAINIUM operates as an ambient strategic partner. When operational or financial changes occur, it evaluates updates against live baseline distributions and emits alerts with deep-links only when tolerance limits are breached.
How do seats work across the tiers?
The Starter tier is tailored for solo practitioners (1 seat) running targeted simulations. The Professional tier includes up to 5 seats, empowering your core executive or improvement team to share interactive models and collaborate via personal FastMCP connections. Organizations requiring wider divisional or corporate-wide access graduate to Enterprise with 20+ seats.
How does metered MCP usage work for custom agents and workflows?
If your engineering team builds custom internal agents or autonomous background schedulers that query CERTAINIUM 's FastMCP endpoints, standard subscription allowances cover regular daily workflows. Volume calls beyond tier quotas are billed transparently on a metered per-thousand-invocation basis via Stripe.
Are there monthly scenario execution limits?
Yes, each tier includes a generous monthly quota of scenario runs (1,000 runs/month on Starter, 5,000 on Professional, and 10,000+ on Enterprise). Quotas reset on your billing cycle, and additional runs can be added as needed.

Have more questions about CERTAINIUM ?

Explore our transparent commercial plans or reach out directly to discuss your specific decision modeling requirements.