The AI Orchestration Layer for Smart Manufacturing

From technical knowledge to production operations, pricing, and ordering, Dot orchestrates AI agents across manufacturing systems to standardize decisions and scale automation.

Let's Talk

Key Challenges in Manufacturing Industry

Critical documents and procedures are spread across systems, slowing decisions and increasing dependency on individuals.

Disconnected processes across production, maintenance, pricing, and ordering cause delays and errors.

Siloed solutions fail to orchestrate end-to-end manufacturing workflows.

Legacy systems and security constraints limit reliable, organization-wide AI adoption.

How Dot Addresses These Challenges

Dot centralizes fragmented technical documentation into a single, orchestrated AI knowledge layer that enables fast, accurate, and reference-backed decision-making across manufacturing operations.

Analyzes manuals, procedures, drawings, and schematics across multiple systems.
Delivers context-aware answers with document and page-level references.
Guides users directly to the correct technical source instead of static responses.
Operates on-prem or hybrid with role-based access control.

Dot orchestrates product specifications and ERP data to provide sales teams with instant, accurate, and consistent technical product information.

Answers technical product questions using structured product and ERP data.
Ensures consistency across quotations, configurations, and specifications.
Reduces dependency on manual lookups and expert intervention.
Integrates directly with ERP and product information systems.

Dot enables fast and accurate order creation by orchestrating voice input, product data, and order systems into a single automated workflow.

Converts voice commands into structured product and quantity inputs.
Validates orders against product catalogs and business rules.
Creates orders automatically with minimal manual intervention.
Reduces errors and processing time for field and sales teams.

Dot centralizes pricing logic, tax rules, and campaign conditions into an auditable decision layer for complex manufacturing and automotive pricing scenarios.

Applies excise tax, vehicle tax, and campaign rules dynamically.
Supports multiple pricing formulas with full rule traceability.
Enables scenario comparison and regulatory impact simulation.
Operates on-prem or hybrid with strict access and compliance controls.

The Core Features of Dot

QNB Finansbank has redefined banking services by integrating advanced AI technology into its operations. By leveraging Dot's all-in-one AI platform, QNB Finansbank overcame challenges in data processing, regulatory compliance, fraud detection, and customer personalization, transforming its operational efficiency and customer satisfaction.

55%

faster access to technical knowledge

Operational Knowledge Intelligence

Dot centralizes technical documents and procedures into a single AI layer, reducing manual searches and accelerating operational decisions.

45%

less manual operational effort

End-to-End Workflow Orchestration

Dot orchestrates AI agents across specifications, ordering, and pricing, replacing fragmented manual workflows with automation.

99%

data control in on-prem
or hybrid setups

Secure, Manufacturing-First Deployment

Dot runs on-prem or hybrid with role-based access, ensuring data ownership and secure integration with legacy systems.

“Dot’s AI-powered solutions have revolutionized how we manage compliance, detect fraud, and serve our customers. The speed and accuracy we’ve gained are unmatched, helping us deliver on our promise of innovative and secure banking."

— QNB Finansbank Representative

Why Dot?

Dot unifies AI models, intelligent agents, and seamless app integrations into a single platform, enabling manufacturers to streamline production, optimize supply chains, and enhance quality control using smart manufacturing solutions.

Its no-code customization and built-in optimizations empower manufacturing companies to reduce downtime, improve efficiency, and make data-driven decisions.