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TurboHUB

Management answers from all your enterprise systems — in minutes, not days

TurboHUB is an AI-powered system that answers management questions in natural language using data from your accounting, ERP, payroll, CRM and warehouse systems, databases and Excel models.

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  • Security
  • Neural Networks
  • AI Agents
  • Business Digitalization

TurboHUB

Example view

Question

Show revenue breakdown by counterparty for last month

Sources used:AccountingCRMExcel

Revenue by counterparty · last month

CounterpartyRevenueShare
Counterparty A₺ 4.2M31%
Counterparty B₺ 2.9M21%
Counterparty C₺ 2.1M15%
Others₺ 4.5M33%
Illustrative data for demonstration

What companies tell us

Reporting relies on data from multiple disparate sources

  • Management reporting requires manual reconciliation across 5–7 sources: accounting, payroll, CRM, warehouse management, external services and manual Excel models.
  • The same metric can differ by 5–15% from one system to another.
  • 3–5 business days every month go into reconciliation instead of interpretation and analysis.

Three types of inefficient costs

Companies already using BI or Excel for management reporting face systemic inefficiencies at the data preparation stage — the “first mile” of analytics.

01

IT Department

Today

Report creation and customization

  • Every new report dimension requires an IT ticket
  • 2–3 weeks lead time for customization
  • A growing backlog of business requests

With TurboHUB

Automated data preparation

  • New report dimension in 2–4 minutes without IT involvement
  • All reports use a single, consistent logic
02

Analysts and Finance Managers

Today

Data extraction and reconciliation

  • 3–5 days a month spent on manual consolidation
  • Prolonged reconciliation of data discrepancies
  • 70–80% of time consumed by routine tasks instead of analysis

With TurboHUB

Business user autonomy

  • Natural language question — structured answer in minutes
  • Frees up 1.5–2 FTE of analyst capacity
03

Accounting Department

Today

Adding supplemental analytics

  • Manual entry of analytical tags into primary documents
  • Increased data entry workload
  • High risk of human error

With TurboHUB

AI analytics via indirect indicators

  • AI extracts analytical insights from text fields and related documents
  • Accounting focuses on statutory compliance, not report preparation

Minutes from executive request to delivered insight

  • An up-to-date, continuously refreshed data layer built on top of your existing systems (accounting, Excel, CRM, databases, data warehouses) for real-time analytics
  • Executive questions answered in minutes
  • An AI-powered tool for situations where a 24-hour delay means lost profit

How it works

  1. 1You ask a question in natural language: “Show revenue breakdown by counterparty for last month”
  2. 2TurboHUB maintains a continuously updated operational data layer sourced from your enterprise systems
  3. 3Data from all sources is unified into a single layer using AI
  4. 4The system returns a structured, actionable answer

Key business benefits

5+ days → 2 min

Shorter request-to-report cycle

100%

Elimination of report customization costs

2+ FTE

Analyst capacity freed up

TurboHUB removes long data preparation cycles and dependency on individual employee expertise. No specialized skills or training are required to use the system.

Figures are based on TurboHUB product material. Actual results depend on your data sources, data quality and project scope.

Flexible deployment options

TurboHUB can run inside your own infrastructure, be delivered as a pre-configured hardware appliance, or be hosted in the cloud.

On-premise

Deployed on your own physical servers or virtual machines. The environment must support virtualization so the solution can run in containers.

  • Minimum (1–2 users): Intel Core i7, 128 GB RAM, 4 TB SSD, RTX 3060 / 4090 / 5090
  • Pilot (1–10 users): Intel Core i9, 128 GB RAM, 8 TB SSD, Tesla P40 / A40 / A100
  • Enterprise (100+ users): Intel Xeon Platinum, 512 GB RAM, 16 TB SSD, NVIDIA A100 / H100 / H200 or 4× L40

Hardware appliance

If the required servers are not available, TurboHUB can be delivered pre-installed and configured on dedicated hardware placed inside your infrastructure.

  • Compact AI supercomputer: NVIDIA DGX Spark
  • Two-node DGX Spark cluster for models up to 405 billion parameters
  • Your data stays inside your premises

Cloud (SaaS)

If new systems cannot be hosted internally, TurboHUB can be provided on dedicated rented servers.

  • GPU servers for running local LLMs
  • CPU servers combined with cloud LLM subscriptions
  • Server configuration sized to your requirements

Hardware configurations are indicative and are finalized together with your team during scoping.

TurboHUB White Paper

An 8-page overview of the problem, how TurboHUB works, impact by department, deployment models and infrastructure requirements.

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