DBR77 · INVESTOR DECK · 2026 CONFIDENTIAL

A new industrial category

Industrial Intelligence Platform.

Measure. Optimize. Execute. Automate. Scale.

CORE AI ENGINE Powered by Vector — DBR77 Industrial LLM
Torian Richardson CEO DBR77 Inc.
Dr. Piotr Wiśniewski Founder DBR77
Series A · 2026 Toruń · Charlotte · Berlin
PROBLEM MARKET RACE

The West Is Losing the Industrial Race.

Factories are under pressure to automate — but most still run on fragmented data, manual decisions and disconnected execution.

01

Labor is vanishing.

Aging workforces, labor shortages and wage pressure are forcing factories to do more with fewer people.

02

Automation can't keep up.

China installs in roughly 50 days what the U.S. installs in a year — while Western automation remains too slow, expert-dependent and hard to scale.

03

Manufacturing is still waiting for digital transformation.

Most factories have software, but still run on fragmented data, manual decisions and automation promises that rarely scale.

DBR77 · Investor Deck 2026 02 / 18
PROBLEM DECISION GAP

Everyone wants autonomous factories.

Most factories are not decision-ready.

The opportunity is not "AI for manufacturing." The opportunity is the operating intelligence layer that connects data, decisions and automation.

01

Factory data is not decision-ready.

Machine signals, downtime reasons, cycle times, OEE, layouts and operator inputs remain fragmented across systems.

02

Factories remain under-optimized.

Most plants operate below their full potential — leaving major capacity, productivity and performance gains untapped.

03

Automation is not scaling.

Most factories still struggle to turn insights into automated decisions, workflows and robotics projects.

DBR77 · Investor Deck 2026 03 / 18
SOLUTION THE LOOP

DBR77 Owns the Loop from Factory Data to Automation.

DBR77 · Investor Deck 2026 04 / 18
PLATFORM FIVE PRODUCTS · ONE ENGINE

DBR77 Defines the Industrial Intelligence Platform.

A new category connecting factory data, optimization, execution, automation commerce and industrial reasoning into one closed loop.

DBR77 · Investor Deck 2026 05 / 18
LLM MODEL VECTOR · 120B PARAMS

Vector is the industrial intelligence layer behind DBR77.

It connects factory data, industrial knowledge, transformation methodology and automation intelligence across the entire platform.

INPUTS Trained on
INPUT_01

Factory Data

Machine signals, downtime, OEE, cycle times, operator inputs, process flows and production context.

INPUT_02

Industrial Knowledge

Lean, automation, robotics, process optimization, maintenance, quality, logistics and plant operations know-how.

INPUT_03

Transformation Methodology

Digital maturity assessment, roadmap creation, initiative management, KPI tracking and value realization.

INPUT_04

Automation Intelligence

Supplier knowledge, technology matching, integrator capabilities, project specifications and implementation patterns.

INDUSTRIAL REASONING ENGINE

DBR77 Vector

A 120-billion-parameter industrial LLM, fine-tuned on real factory transformation cases.

  • 120B parameters
  • Domain-tuned
  • On-prem ready
Vector does CAPABILITIES
OUTPUT_01

Understand

Turns fragmented factory data and operational context into structured intelligence.

OUTPUT_02

Recommend

Suggests optimization actions, automation opportunities and next-best decisions.

OUTPUT_03

Coordinate

Transforms recommendations into workflows, tasks, owners, milestones and follow-ups.

OUTPUT_04

Learn

Turns every project, deployment and factory interaction into reusable industrial knowledge.

DBR77 · Investor Deck 2026 06 / 18
MARKET

The $1.3T Industrial Intelligence Convergence.

DBR77 turns factory data into one execution loop for productivity, automation, and resilience.

01 MEASURE

Factory Data + Industrial AI

2024 2030
OPEN · 2024 $43.6B
TARGET · 2030 $153.9B
+$110.3B +253% CAGR 23.4%
02 OPTIMIZE

Factory Digital Twin

2025 2030
OPEN · 2025 $21.14B
TARGET · 2030 $149.81B
+$128.7B +609% CAGR 47.9%
03 EXECUTE

Plant Operation System

2023 2030
OPEN · 2023 $146.5B
TARGET · 2030 $355.3B
+$208.8B +143% CAGR 13.5%
04 AUTOMATE

Industrial Automation

2024 2030
OPEN · 2024 $255.8B
TARGET · 2030 $435.6B
+$179.8B +70% CAGR 9.2%
05 SCALE

AI Transformation Execution

2024 2030
OPEN · 2024 $15.3B
TARGET · 2030 $50.2B
+$34.9B +228% CAGR 21.9%
NATIVE CATEGORY
06 REASON

Industrial AI · Vector LLM

2025 2030
EMERGING · 2025 $7.09B
NATIVE · 2030 $47.88B
+$40.8B +575% CAGR 46.5%
Adjacent market proxies, not additive. Sources: IoT Analytics, MarketsandMarkets, DataHorizon Research, Grand View Research. 07 / 18
BUSINESS MODEL REVENUE ARCHITECTURE

Recurring software + automation transactions + usage-based AI.

Three Revenue Engines.

SaaS lands. Marketplace monetizes. Tokens scale.

01 LAND ARR

SaaS

Recurring platform access

  • Monthly / annual subscription
  • Per factory, module, user or tier
  • IIoT, IRIS, Digital Twin, Consultify

"Land and expand inside the factory."

03 SCALE TOKENS

Tokens

Usage-based industrial intelligence

  • Factories buy tokens to run Vector LLM
  • AI analysis, workflows and specifications
  • Scales with decision and automation case

"Shift value from human work to AI execution."

DBR77 · Investor Deck 2026 08 / 18
GO-TO-MARKET LAND · EXPAND · MONETIZE

Recognized pain → operational control → automation revenue.

Land. Expand. Monetize.

One left-to-right motion: product entry points unlock operational control, which unlocks automation revenue at scale.

01 LAND

Start with a recognized business trigger.

Entry products · Customer pain

We enter through clear customer pain: transformation agenda, factory planning or visible operational inefficiency.

  • Consultify Decision-maker transformation agenda
  • Digital Twin Future factory and CAPEX planning
  • IIoT Hidden factory problems made visible
02 EXPAND

Take deep operational control.

Workflows · Data · Decisions

Once inside, DBR77 takes control of data, workflows, decisions and execution discipline.

  • IIoT Trusted data for process control
  • IRIS Workflows, ownership and discipline
  • Vector AI-assisted decisions and execution
03 MONETIZE

Turn improvement into automation spend.

Revenue at scale

Operational improvement turns into automation projects, marketplace transactions and usage-based AI revenue.

  • Marketplace Automation sourcing and execution
  • IRIS Modules More managed processes
  • Vector Tokens Usage-based AI revenue
DBR77 · Investor Deck 2026 09 / 18
TRACTION PRODUCT · MARKET · ECOSYSTEM · GLOBAL

DBR77 enters Round A with validated products, active deployments, global customers and a scalable industrial ecosystem.

From Product Validation to Global Expansion.

01 PRODUCT STACK VALIDATED
  • Multiple live IRIS deployments
  • IIoT deployed in real factories
  • Digital Twin implemented across manufacturing, including defense
  • Consultify deployed with industrial customers
02 MARKET VALIDATION €100M+automation pipeline
  • €3.2M largest Marketplace deal closed
  • 50+ automation projects executed
  • Demand validated across automotive, electronics, furniture and logistics
03 INDUSTRIAL ECOSYSTEM 800+OEMs & integrators
  • Partners include ABBKUKAFANUCYASKAWAUROMRON
  • Humanoid robotics entering DBR77 roadmap
  • Marketplace connects needs, suppliers and automation execution
04 GLOBAL EXPANSION
  • USFirst customers in the United States
  • JPFirst customers in Japan
  • EUGrowth across DACH and CEE
  • SASaudi / GCC partnerships through AMPC ecosystem
DBR77 at Saudi Arabia AMPC industrial transformation partner ecosystem alongside Siemens, McKinsey, KPMG, Microsoft, ABB and Rockwell Automation AMPC · RIYADH 2025
PROOF · GLOBAL STAGE Saudi Arabia Industrial Transformation — AMPC partner ecosystem. DBR77 presented among global industrial and consulting leaders: Siemens, McKinsey, KPMG, Microsoft, ABB and Rockwell Automation.
DBR77 · Investor Deck 2026 10 / 18
COMPETITION LEGACY · POINT · LOOP

Legacy systems control operations. New point solutions improve fragments. DBR77 closes the full loop.

Why DBR77 Wins.

01 LEGACY STACK

Legacy Industrial Systems

WHO
  • Siemens
  • Rockwell
  • SAP
  • ABB
  • Schneider Electric
PROFILE
  • Record and control factory processes
  • Require heavy integration to change
  • Stay inside vendor-bound ecosystems
02 POINT SOLUTIONS

New AI & Point Solutions

WHO
  • Tulip
  • Sight Machine
  • Augury
  • Vention
  • Braincube
PROFILE
  • Improve one layer of the factory
  • Stop before execution ownership
  • Lack supplier execution path
FULL LOOP
03 INDUSTRIAL INTELLIGENCE PLATFORM

DBR77 Industrial Intelligence Platform

FLOW
  1. Measure
  2. Optimize
  3. Execute
  4. Automate
  5. Scale
PROFILE
  • Measures real factory performance
  • Turns decisions into execution
  • Converts needs into automation projects
DBR77 · Investor Deck 2026 11 / 18
LEADERS TEAM CORE · BOARD · ADVISORS

Built by industrial veterans and AI-native operators with global execution track record.

Veteran-Led. AI-Native. Industrial to the Core.

CORE TEAM Driving global expansion
Dr. Piotr Wiśniewski

Dr. Piotr Wiśniewski

Founder & CEO · ex-CEO Maflow · HBS

Scaled a global Tier 1 automotive group; 20+ yrs of industrial execution at C-level.

Torian Richardson

Torian Richardson

U.S. CEO & Co-Founder · ex-NVIDIA · HBS

Ex-NVIDIA industrial AI leader; opens U.S. market access for DBR77.

Paweł Mroczkowski

Paweł Mroczkowski

Head of DACH & MENA · HBS

Serial industrial entrepreneur; opens government and OEM access across DACH and MENA.

Bartłomiej Straszak

Bartłomiej Straszak

MD Poland · ex-McKinsey

Ex-McKinsey manufacturing strategist; 16+ yrs scaling industrial automation programs.

Konrad Milewski

Konrad Milewski

CTO & Head of AI

Built DBR77's AI engineering; 9+ yrs delivering production industrial software.

Justyna Laskowska

Justyna Laskowska

Talent Hunter · ex-Director NCU R&D

17 yrs commercializing science-to-market R&D; recruits the rare industrial AI talent that scales us.

BOARD OF DIRECTORS & ADVISORS Strategic guidance & market access
Maciej Skarul

Maciej Skarul

Partner FF.vc · Lead Investor · HBS

Institutional VC; lead investor in DBR77.

Maggie Zhu

Maggie Zhu

Co-owner Westlake UV Coatings · HBS

U.S. industrial owner-operator; opens American factory access.

Przemek Berendt

Przemek Berendt

Head of Tech Hub @ Volvo Cars · HBS

Senior industrial tech operator; OEM access into Volvo Cars.

Srikanth Geddada

Srikanth Geddada

Strategic Tech Partnerships @ Google · HBS · MIT

Opens Google's global tech partnership network.

Jędrzej Kowalczyk

Jędrzej Kowalczyk

CEO Fanuc Poland

Robotics OEM access into Fanuc, global automation leader.

Bartosz Ziołek

Bartosz Ziołek

Head of Digital · Santander Corporate · Sorbonne BS

Industrial finance partnerships at Santander Corporate.

DBR77 Core Team & Strategic Advisory Board 12 / 18
FUNDRAISING SERIES A · $15M

Capital will accelerate product scale, global GTM, Marketplace growth and AI execution capabilities.

$15M Series A to Scale Industrial Intelligence Globally.

01 18–24 MONTH MILESTONES 5 commitments
  • 350+ factorieson DBR77 platform
  • 100+ AI agentsrunning in live factories
  • 200+ Marketplaceautomation deals
  • $6–8M ARRfrom SaaS + AI usage
  • Global expansionacross U.S., Europe, GCC and Japan
02 USE OF FUNDS 5 allocation lines
  • 35%
    Product, AI & Vector stackIRIS, Vector, Digital Twin, simulation and AI agents
  • 25%
    Global GTM expansionU.S., DACH, CEE, GCC and Japan sales capacity
  • 20%
    Marketplace growthSupplier network, integrators, automation deal flow
  • 15%
    Customer success & deploymentImplementation, onboarding, training, value realization
  • 5%
    Security, compliance & IPGovernance, cybersecurity, patents, enterprise readiness
DBR77 Inc. · Series A Capital Structure 13 / 18
CLOSING DBR77 · 2026

Factories won't
just run.
They will think.

DBR77 is building the Industrial Intelligence Platform for the next era of manufacturing.

Measure. Optimize. Execute. Automate. Scale — with Industrial Intelligence.

Join us.

Book a meeting with DBR77
APPENDIX A · VECTOR WHITEPAPER V1.0 · APRIL 2026

A proprietary industrial LLM built to turn factory data into decision-ready actions — not generic chat.

Vector: The First Industrial Reasoning Engine.

§01 NEW CATEGORY

The first Industrial Reasoning Engine

Vector is not a generic LLM wrapper. It is a decision layer trained to understand factory constraints, process logic, throughput, bottlenecks, CAPEX impact and execution risk — a new category between AI assistants, digital twins and industrial operating systems.

§02 MODEL

120B-parameter proprietary industrial LLM

Vector is DBR77's own industrial language model — designed for production environments, not generic office work. It uses domain-specific weights, QLoRA fine-tuning and structured reasoning paths built around industrial decision logic.

§03 TRAINING CORPUS

1,400+ authenticated factory transformations

Trained on real factory transformations: operational baselines, root-cause analysis, constraints, action plans, financial impact and implementation paths. Synthetic Digital Twin scenarios extend the corpus with tested factory physics.

§04 REASONING PRIMITIVES

It reasons through factories, not text patterns

Vector embeds industrial reasoning primitives — MTM, Lean, Little's Law, ISO 22400, bottleneck logic, throughput constraints, cycle times and ROI. It rejects recommendations that break factory physics, operational or financial logic.

§06 DEPLOYMENT & SECURITY

Private, auditable and deployable in industrial environments

Vector can operate on-premise, through a private API or in a dedicated secure cloud. Client data never trains the shared model. Every recommendation is versioned, audited and traced back to decision logic.

DBR77 · Appendix A — Vector 1.0 Industrial Reasoning Engine · vector.dbr77.com 15 / 18
APPENDIX B · ENTERPRISE PIPELINE CONFIDENTIAL · STRATEGIC ACCOUNTS

DBR77 is already moving through deployment, expansion and signal stages across global manufacturing markets.

Enterprise Pipeline & Strategic Accounts.

IIoT
Digital Twin
IRIS
Marketplace
Consultify
  1. 01 LIVE

    Validated Deployments

    In customer environments
    Active Telemetry
    Calibrated Models
    Active Factories
    Robotics Installed
    Engagements Live
  2. 02 ACTIVE

    Strategic Expansion Pipeline

    Scoping · pilots · RFPs
    Edge Scopes Deployed
    Layout Blueprints
    Pilot Production Lines
    RFP Specifications
    Scoping Matrices
  3. 03 EARLY

    Global Account Signals

    First conversations & audits
    Initial Telemetry Audits
    Factory Scans Pending
    Corporate Evaluation
    System Integrators Match
    Diagnostic Audits
  • LIVE·deployed in customer environments
  • ACTIVE·in scoping, pilot or RFP
  • EARLY·first conversations and signals

Cell labels indicate expected content type. Final account-level data available under NDA.

DBR77 · Strategic Accounts Pipeline · Confidential 16 / 18
APPENDIX C · CASE STUDY HITACHI ENERGY · ŁÓDŹ

After Hitachi Energy took over the former ABB plant in Łódź, DBR77 used Digital Twin to optimize two production halls and open the path to automation.

From Digital Twin to Automation Pipeline.

  1. 01 LAND · DIGITAL TWIN

    Optimized the factory before implementation

    DBR77 built a Digital Twin of the production plant to visualize operations, test layouts and validate logistics flows before physical changes. The model helped improve the layout across two production halls before the customer committed to implementation.

  2. 02 EXPAND · MARKETPLACE

    Turned validated needs into automation sourcing

    After the target layout was confirmed, DBR77 opened the path to source robotics and automation projects through its two-sided Marketplace. Structured welding workstation projects by connecting Hitachi Energy with system integrators, KUKA suppliers and a local technical university.

  3. 03 SCALE · GLOBAL ACCOUNT

    From one plant to a global opportunity

    The successful Łódź engagement positioned DBR77 as a multi-site automation partner for a Fortune Global 500 industrial leader. Active discussions are now underway for similar Digital Twin and automation programs at Hitachi Energy facilities in Germany and the United States.

Case Study · Hitachi Energy · Łódź, Poland (formerly ABB) 17 / 18
APPENDIX D · PLATFORM ARCHITECTURE UNIFIED INDUSTRIAL STACK

Where factory data becomes industrial decisions — and decisions become executed automation.

Platform Architecture.

IOT
Operator inputs

Logs, goals, exceptions, tasks, decisions

IOT
Machine data

PLCs, SCADA, sensors, cycle times, downtime

Business systems

ERP, MES, QMS, WMS, HRM, maintenance & finance

Synthetic data

Digital Twin simulations, future-state layouts, automation options

DBR77 Industrial MCP

Industrial context protocol — connects machines, systems, simulations and execution tools into one structured, bidirectional layer.

Industrial Knowledge Core

Vectorized knowledge base — factory cases, process methods, technologies, suppliers and implementation patterns.

Agent Orchestration Engine

Routes recommendations into product-level agents — simulations, specifications, workflows and tasks.

Industrial Reinforcement Engine

Learns from recommendations, simulations and execution outcomes. Improves agent playbooks.

IRIS
Plant Operating System

Production Decision Agents

CONSULTIFY
AI-native consulting

Transformation Execution Agents

MARKETPLACE
Automation planning & sourcing

Technology Matching Agents

DIGITAL TWIN
Simulation & optimization

Simulation & Design Agents