Authorized Reseller: SkyloopZzeti Zeka PlatformEnterprise AI
Your Infrastructure. Your Rules.
Enterprise AI platform that runs on your infrastructure of choice — private cloud, public cloud, Apple Silicon edge, or commodity NVIDIA GPU. AI Gateway, autonomous agents, observability, and compliance — closing the loop from detection to impact.
Everything you need.
Nothing you don't.
AI Agents
Autonomous agents that reason, plan, and act. MCP-powered tool access with built-in guardrails. Detect anomalies, diagnose causes, assign actions, measure impact — closed loop.
AI Gateway
Unified API across 30+ LLM providers. Semantic caching, semantic routing, and token-budget management. Use the right model for the right workload.
Role-Based Access
Hierarchical permission model: Store → Region → Headquarters. Every query, every action, every output — governed by role.
MCP Integrations
Model Context Protocol connectors for the systems you already run: Nebim V3, Google Workspace, Logo, SAP, and more.
Security & Compliance
Enterprise-grade controls: PII masking, WAF, IP firewall, geo-blocking, secret detection. KVKK, GDPR, ISO 27001, SOC 2, HIPAA, PCI DSS aligned.
Workflow Designer
Visual workflow builder. Conditional logic, parallel execution, human-in-the-loop approval. Drag, drop, ship.
Local Models
Run open-weight models on your hardware. Ollama, vLLM, Llama.cpp, LoRA fine-tuning. No token costs for high-volume predictable workloads.
Deployment Flexibility
Run on private cloud, public cloud (AWS, Azure, Huawei), Apple Silicon edge, or commodity NVIDIA GPU hardware. Pick the deployment that matches your sovereignty rules and workload shape.
Runs on NVIDIA DGX Spark
Desktop-class AI inference on NVIDIA's Grace Blackwell GB10 — 1 PFLOP FP4, 128 GB unified memory. Run Zzeti with 70B-parameter open-weight models locally, no cloud token costs, no data leaving your office. Pair two DGX Sparks for 405B-class workloads. Perfect for retail HQs, factories, hospitals, and government — anywhere data sovereignty matters and a rack is overkill.
Retail Intelligence — Nebim V3 Native
Six AI use cases purpose-built for retail operations. Native Nebim V3 integration via MCP — flagship deployments at leading Turkish retail brands. Compatible with other retail ERPs through additional MCP connectors.
Smart Product Allocation
AI fed by Nebim V3 sales and stock data routes the right product to the right store at the right time. Reduces overstock and stockouts.
Demand Forecasting
Sales forecasts by season, region, and channel. Historical sales data trained into predictive models that lower forecast error.
Dynamic Pricing & Campaigns
Automated price and discount optimization based on stock depth, competitor data, and customer behavior. Margin and sales lift together.
Cash Flow Optimization
Income/expense analysis detects cash flow deviations before they happen. Proactive alerts shorten the cash cycle and reduce logistics costs.
Personalized Sales
AI fed by Nebim CRM and loyalty data generates customer-specific recommendations and campaigns. Customer lifetime value increases.
Operational Efficiency
Store performance analysis, employee productivity tracking, return/loss analysis, automated reporting. Total operational costs go down.
Source benchmarks: McKinsey, Nationwide Group, IHL Group
Native Nebim V3 Integration
Works instantly with your existing ERP data. No additional data engineering required. Active deployments at leading Turkish retail brands.
Built for teams that
can't afford
data leaks.
Every component runs inside the perimeter you choose. No telemetry, no phone-home, no external API calls unless you explicitly configure them. Your models, your data, your rules.
Right Tool. Right Workload.
For elastic, experimental, or globally distributed workloads, public cloud LLMs remain the right choice. For high-volume, predictable AI workloads, local open-weight models can dramatically reduce token costs. Zzeti orchestrates both — under one roof, with one observability layer.
Semantic Caching
Reuse responses for similar queries. 40–70% token savings on workloads with repetitive intent patterns.
Semantic Routing
Route each request to the smallest model that can handle it. Big models for hard problems, small models for everything else.
Token Budget Management
Per-team, per-project, per-use-case quotas with hard ceilings. Predictable monthly AI spend.
Finance: BDDK-Compliant AI via KKB Kloudeks
Zzeti is available to Turkish banks, insurance, leasing, factoring, asset management, and consumer finance firms through Kloudeks — the regulated cloud marketplace operated by KKB (Kredi Kayıt Bürosu). BDDK, KVKK, and MASAK-ready deployment on infrastructure vetted for financial workloads.
Frequently Asked Questions
What is Zzeti?
Zzeti Zeka is an LLM-agnostic enterprise AI platform. It runs autonomous agents, an AI Gateway across 30+ LLM providers, role-based access, and MCP integrations for systems like Nebim V3, Logo, SAP, and Google Workspace — on infrastructure you control (private cloud, public cloud, Apple Silicon edge, or NVIDIA GPU). Skyloop Cloud is the authorized reseller and deployment partner.
How does air-gapped deployment work?
Zzeti runs entirely inside a network perimeter you define — with zero external API calls, no telemetry, no phone-home. All model inference, orchestration, and data processing happen on hardware you own. Kubernetes-native with Terraform IaC, deployable on bare metal, private cloud, or hardware like NVIDIA DGX Spark. Suitable for regulated industries, government, and any environment where data cannot leave the perimeter.
How does Zzeti comply with KVKK?
Zzeti includes enterprise-grade controls purpose-built for KVKK requirements: PII masking (automatic detection and redaction of personal data before it reaches any model), role-based access control with Store → Region → HQ hierarchy, IP firewall, geo-blocking, secret detection, and full audit logging of every query and action. Aligned with KVKK, GDPR, ISO 27001, SOC 2, HIPAA, and PCI DSS. Combined with air-gapped deployment, no personal data ever leaves your infrastructure.
Which LLMs does Zzeti work with?
Zzeti's AI Gateway provides a unified API across 30+ LLM providers — including OpenAI, Anthropic, Google, AWS Bedrock, Azure OpenAI, and Turkish sovereign models. It also runs local open-weight models via Ollama, vLLM, and Llama.cpp with LoRA fine-tuning support. Semantic routing sends each request to the smallest capable model, semantic caching reuses responses for similar queries, and per-team token budgets keep spend predictable.
What does Nebim V3 integration cover?
Zzeti's native Nebim V3 MCP connector exposes sales, stock, CRM, and loyalty data to AI agents in real time. Live deployments at leading Turkish retail brands power six use cases out of the box: smart product allocation, demand forecasting, dynamic pricing & campaigns, cash flow optimization, personalized sales, and operational efficiency. Compatible with other retail ERPs through additional MCP connectors.
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