What is cost per task?

The total cost of one finished task: the sum, over every model call in it, of input tokens times the input price plus output tokens times the output price, plus cache and web request charges. An agent makes many calls per task, so price per token alone hides the bill.

What is the Decision Layer?

AVELIN's product. A trained decision model reads each request and picks the model it needs: a more capable model for hard tasks, a cheaper one for easy tasks, on every request. It works with the providers you already use, with AVELIN models and with models on your own GPUs.

What do fast, pro and ultra mean?

They are the three tiers of every AVELIN model family. Fast is for speed and low cost, pro is balanced for medium complexity, and ultra is for the hardest tasks where intelligence matters most.

What are cache read and cache write rates?

Prompt caching rates. A repeated prompt prefix is billed once at the cache write rate, then at the lower cache read rate on every reuse. The rates are on the price list.

A proof of concept on one of your workloads. AVELIN runs the Decision Layer beside your current setup and reports cost per task side by side, with nothing in your production path.

What does zero retention mean?

In AVELIN Cloud, prompts and answers are not stored in normal operation. Two narrow exceptions are in the data policy: short-lived buffers that serve a request, and a small debugging and security capture.

Business Glossary

This glossary defines business and operating terms used across AVELIN documentation.

A

A.V.E.L.I.N.
Artificial Virtual Entity Learning Interaction Natively. The sovereign AI platform for business.

Action Superpowers
The ability to move from analysis to execution through connected business actions, not only chat responses.

Adaptive Threat Defense
Perimeter behavior that detects suspicious traffic patterns and reduces harmful traffic impact before core services are affected.

Anonymization Layer
A trust control that removes sensitive identity patterns before external processing when policy requires it.

AI Intelligence Platform
AVELIN's positioning as a sovereign AI operating layer for business, organized around 3 pillars and Cross-Model MoE technology.

AI Lab
One of AVELIN's 3 pillars — advanced reasoning, research, and decision-grade intelligence capabilities.

Audit Readiness
The ability to produce complete, timely governance and activity evidence for internal and external review.

Avatar Marketplace
A catalog of specialized AI personas and domain-focused assistants that can be activated for specific tasks.

Evaluation
AVELIN models are continuously evaluated against independent benchmarks; results are published on the dedicated evaluation portal, eval.avelin.ai.

AVELIN-API
The orchestration and governance layer that fuses and routes model intelligence.

AVELIN-GPT
The conversational workspace where users analyze, decide, automate, and execute daily workflows.

AVELIN-MCP
The integration platform that extends AVELIN with high-performance execution capabilities.

B

Business Continuity
The capability to keep critical workflows available during incidents, traffic stress, or platform changes.

Business Workflow Criticality
The business importance level of a workflow, used to prioritize incident response and governance controls.

C

Classic Mode
Standard question-and-answer mode for routine interactions.

Cloud Token Factory
One of AVELIN's 3 pillars — cost-optimized, high-throughput model orchestration and token governance. Delivers Intelligence up to 85%, Coding up to 86%, and Agentic up to 87% cheaper than premium alternatives.

Compliance Evidence
Documented records that demonstrate policy adherence, control execution, and governance quality.

Corporate Brain
Enterprise knowledge intelligence built from internal documents, records, and institutional memory.

Cross-Model MoE
AVELIN's core technology that combines multiple intelligence models into unified outputs using a trained meta-model, not a router. A prompt-vector classifier with 90% accuracy assigns each request to the optimal tier through difficulty-based cascading for cost and quality balance.

Cross-System Trust Enforcement
Consistent trust and policy controls applied across AVELIN-GPT, AVELIN-API, AVELIN-MCP, and Y-RAY.

D

Data Residency
The defined location or boundary where sensitive data is processed and retained.

Data Sovereignty
The principle that organizations keep control of where data is processed, stored, and governed.

Debate Mode
A multi-perspective reasoning mode where contrasting intelligence paths improve balance and rigor.

Decision-Grade Output
An output format suitable for high-impact decisions, with evidence quality and policy alignment.

Distributed Intelligence
An operating model where multiple intelligence capabilities work together as one governed platform.

E

Enterprise Platform
One of AVELIN's 3 pillars — integration, execution, trust, and operations for business workflows.

Enterprise Trust Layer
The combined policy, access, retention, and quality-control capabilities that keep AI usage safe and auditable.

Evidence-First Intelligence
A decision approach that prioritizes verifiable signals and traceable support over unsupported output.

Execution Workflow
A structured path that connects analysis, approval, and action completion for a business task.

G

Governance Cadence
The scheduled rhythm for control reviews, KPI reviews, risk checks, and policy decisions.

Governed Channel
A platform path where trust, policy, and access controls are actively enforced and monitored.

Guardrails
Rules that keep behavior, outputs, and actions aligned with business policy and risk standards.

H

Hybrid Deployment
A deployment model that combines strict internal zones for sensitive workloads with broader infrastructure for lower-risk workloads.

I

Incident Severity
A business-impact classification that determines response urgency, escalation level, and owner involvement.

Integration Governance
Control of connector permissions, ownership, and safe action execution across integrated systems.

Intelligence Governance
Control of routing, cost, output quality, and policy alignment for model-driven workflows.

K

KPI (Key Performance Indicator)
A measurable signal used to evaluate reliability, productivity, quality, governance, and business outcomes.

L

Least Privilege
An access model where users and services receive only the permissions needed for their responsibilities.

Local Server Deployment
A sovereignty-first deployment model where AVELIN runs inside organization-controlled infrastructure.

M

MCP (Model Context Protocol)
A standard way for AI systems to access external tools and business services in controlled workflows.

Memory Mode
An interaction mode that uses persistent context to improve continuity and personalization over time.

Model Alias
A business-friendly model name used inside AVELIN to simplify routing and user experience.

Multi-Depth Analysis
A structured approach to research depth, from rapid scan to deep diligence depending on decision importance.

P

Perimeter Layer
The secure entry boundary that applies transport protection, traffic controls, and threat defense.

Policy Exception
A temporary, approved deviation from a standard control, with owner, reason, and expiry.

Private Cloud Deployment
A controlled cloud model that keeps governance boundaries while supporting enterprise scale.

R

Research-to-Execution Continuum
The end-to-end path from intelligence gathering to business action completion in one governed flow.

Retention Policy
The rule set that defines how long data, logs, and evidence are kept before deletion.

Route Policy
Rules that determine how requests are directed across intelligence paths based on quality, cost, and risk.

S

Smart Routing Economy
A routing strategy that sends each task to the most appropriate intelligence path for quality and cost efficiency.

Sovereign AI Platform
An AI operating model where the organization controls infrastructure, governance, and critical data boundaries. AVELIN is positioned as an AI Intelligence Platform with 3 pillars and Cross-Model MoE technology.

Sovereign Deployment
A deployment posture where control over data boundaries, policy enforcement, and trust operations remains with the organization.

T

Token Counting
Measurement of usage volume for cost tracking, governance, and optimization.

Traceability
The ability to follow who performed what action, when, and under which policy context.

Trust Controls
Security, policy, privacy, and quality controls that reduce risk in sensitive AI workflows.

V

Vendor Agnostic Intelligence
The ability to use and switch between multiple model families without being locked to one provider path.

Y

Y-RAY
The information search and analysis product that combines internal corporate intelligence with external research intelligence.

Y-RAY Alpha Scan
Rapid intelligence mode for quick pulse updates and immediate signal detection.

Y-RAY Deep Diligence
Investigation mode for claim-by-claim validation, contradiction detection, and decision-grade synthesis.

Y-RAY Structural Breakdown
Analytical mode for mapping relationships, risks, dependencies, and strategic structure.

Z

Zero-Retention Environment
A controlled processing mode where persistent history can be minimized or disabled for sensitive workflows.