About the Company
Built by Manufacturing Veterans
We spent 20+ years in enterprise B2B at companies like Siemens, Bosch, HP, VMware, SAP, and Veeam.
We know the pain: Sales engineers buried in repetitive work. Customers waiting days for quotes. Revenue constrained by technical capacity.
Generic AI can't handle manufacturing complexity. We built the AI Engine specifically for complex technical products - configurations with physics constraints, compliance requirements, and engineering logic.
We know the pain: Sales engineers buried in repetitive work. Customers waiting days for quotes. Revenue constrained by technical capacity.
Generic AI can't handle manufacturing complexity. We built the AI Engine specifically for complex technical products - configurations with physics constraints, compliance requirements, and engineering logic.
Why Manufacturing Needs Specialized AI
Generic AI guesses. Manufacturing can't afford guesses.
Your products have physics constraints, compliance requirements, and safety rules. The AI Engine is trained on YOUR engineering logic - it validates every configuration against YOUR rules.
Your products have physics constraints, compliance requirements, and safety rules. The AI Engine is trained on YOUR engineering logic - it validates every configuration against YOUR rules.
Who Uses It
- Internal Sales Teams
Get instant answers to configurations, comparisons, and technical questions - without waiting for engineering.
Result: Clear backlogs faster. Focus on complex deals. - Channel Partners
Configure and quote your products 24/7 without calling your team for support.
Result: Partners sell more. Your team handles fewer support calls. - Direct Customers
Self-service technical answers and configurations on your website.
Result: Customers get answers instantly. Your team focuses on high-value interactions.
We Built This Because We Lived It
We spent 20+ years in enterprise B2B.
We watched sales engineers answer the same questions over and over. We saw deals delayed because technical validation took days. We knew the best people were buried in routine work instead of solving interesting problems.
So we built the AI Engine - to give sales engineers their time back for work that actually matters.
We watched sales engineers answer the same questions over and over. We saw deals delayed because technical validation took days. We knew the best people were buried in routine work instead of solving interesting problems.
So we built the AI Engine - to give sales engineers their time back for work that actually matters.
Founders
Founded in 2021 and based on 50+ years of combined experience of the founders.
CEO
The Architect. A 30-year veteran of Physical Security and Critical Infrastructure. Jan has delivered over $1 billion in complex projects, building systems that currently serve 250 million people annually.
He spent decades managing the "Expert Bottleneck"—watching massive projects slow down simply because technical knowledge couldn't scale.
He founded Neurologik to solve that specific problem: to create an architecture where industrial expertise is as scalable as software.
The Architect. A 30-year veteran of Physical Security and Critical Infrastructure. Jan has delivered over $1 billion in complex projects, building systems that currently serve 250 million people annually.
He spent decades managing the "Expert Bottleneck"—watching massive projects slow down simply because technical knowledge couldn't scale.
He founded Neurologik to solve that specific problem: to create an architecture where industrial expertise is as scalable as software.
CXO
The Engineer. A specialist in multi-site, cross-national complex projects. Mostafa has spent his career designing sophisticated hardware and software ecosystems for high-security environments.
He understands that "general AI" cannot handle the nuance of industrial operations.
At Neurologik, he leads the design of our AI Architectures, ensuring that every Replica captures not just the data of an engineer, but the decision-making logic required for critical operations.
The Engineer. A specialist in multi-site, cross-national complex projects. Mostafa has spent his career designing sophisticated hardware and software ecosystems for high-security environments.
He understands that "general AI" cannot handle the nuance of industrial operations.
At Neurologik, he leads the design of our AI Architectures, ensuring that every Replica captures not just the data of an engineer, but the decision-making logic required for critical operations.
CRO
The Strategist. For 15+ years, Andrei drove strategic growth for enterprise giants like SAP, Avaya, HP, Veeam, and VMware.
He saw a recurring pattern in every complex organization: Revenue growth hits a hard ceiling when technical experts run out of time. Deals stall, partners wait, and innovation suffers.
He works with manufacturing leaders to break that cycle. His mission is to help companies decouple their revenue growth from their headcount.
The Strategist. For 15+ years, Andrei drove strategic growth for enterprise giants like SAP, Avaya, HP, Veeam, and VMware.
He saw a recurring pattern in every complex organization: Revenue growth hits a hard ceiling when technical experts run out of time. Deals stall, partners wait, and innovation suffers.
He works with manufacturing leaders to break that cycle. His mission is to help companies decouple their revenue growth from their headcount.
- Our MissionFree Sales Engineers from Repetitive Work
Sales engineers shouldn't spend 70% of their week answering the same questions. They should work on complex problems that need real expertise.
We built the AI Engine to handle routine technical work - so the best people focus on what they're actually good at.
Expertise is an accelerator, not a bottleneck. - Our CustomersManufacturers of Complex Technical Products
We work with manufacturers where expertise is the product:
Industries: Industrial Equipment | HVAC & Thermal | Security Systems | Specialized Machinery | Electrical Components | etc
Who we help:- Sales teams who need technical answers instantly
- Engineers tired of answering the same questions
- Leaders who want growth without constant hiring
See the Engine in Action
Stop guessing if AI is ready for manufacturing. Let us prove it.
We won't bore you with slide decks or generic pitches. In 15 minutes, we will show you a live Engine handling complex technical questions, configurations, and engineering trade-offs.
The Agenda:
Stop guessing if AI is ready for manufacturing. Let us prove it.
We won't bore you with slide decks or generic pitches. In 15 minutes, we will show you a live Engine handling complex technical questions, configurations, and engineering trade-offs.
The Agenda:
- Live Validation: Watch the logic, not just the output. See the Engine solve a real problem.
- The "Noise" Audit: We help you identify exactly where your expert bottleneck is costing you revenue today.
- The Roadmap: A clear, low-risk path from Pilot to Production.
FAQ
12-month strategic engagement with three phases:
PHASE 1: BUILD & PROVE (Months 0-3)
Capture expert knowledge. Build AI replica. Deploy beta system. Generate first
test proposals. Validate the approach works.
PHASE 2: TEST & REFINE (Months 3-6)
Process 500+ real requests. Expand knowledge base. Collect detailed feedback.
Achieve 80%+ accuracy with usable proposals.
PHASE 3: DEPLOY & SCALE (Months 6-12)
Optimize to 90%+ accuracy. Production infrastructure. Full user training.
Organization-wide deployment with 75%+ automation.
This is strategic transformation, not quick software trial. We prove value before
you scale.
PHASE 1: BUILD & PROVE (Months 0-3)
Capture expert knowledge. Build AI replica. Deploy beta system. Generate first
test proposals. Validate the approach works.
PHASE 2: TEST & REFINE (Months 3-6)
Process 500+ real requests. Expand knowledge base. Collect detailed feedback.
Achieve 80%+ accuracy with usable proposals.
PHASE 3: DEPLOY & SCALE (Months 6-12)
Optimize to 90%+ accuracy. Production infrastructure. Full user training.
Organization-wide deployment with 75%+ automation.
This is strategic transformation, not quick software trial. We prove value before
you scale.
WE START WITH A 3-MONTH PROOF OF CONCEPT
Pilot investment: $30000-50000 (fixed fee)
What you get:
- Capture one expert's knowledge completely
- Build functional AI replica
- Generate 5-10 test proposals
- Validate the approach works for your products
- Clear decision point: continue or stop
This proves value before you commit to full deployment.
--- FULL 12-MONTH TRANSFORMATION (when pilot succeeds)
Year 1 total investment: $150,000-250,000
Breakdown:
- Pilot (Months 0-3)
- Testing/Expanding (Months 3-6)
- Production (Months 6-12)
Includes everything:
- Unlimited users, unlimited proposals
- Full hosting and infrastructure
- 24/7 technical support
- All compute costs (LLM APIs)
- Continuous improvements
- Knowledge base management
--- COST COMPARISON
Equivalent to hiring 2-3 junior engineers but with:
- 24/7 availability, zero turnover
- Unlimited capacity, infinite scaling
- Permanent knowledge preservation
--- RISK MITIGATION
We prove value in 3 months before you commit to full transformation. Fixed-fee engagement, not open-ended consulting.
Pilot investment: $30000-50000 (fixed fee)
What you get:
- Capture one expert's knowledge completely
- Build functional AI replica
- Generate 5-10 test proposals
- Validate the approach works for your products
- Clear decision point: continue or stop
This proves value before you commit to full deployment.
--- FULL 12-MONTH TRANSFORMATION (when pilot succeeds)
Year 1 total investment: $150,000-250,000
Breakdown:
- Pilot (Months 0-3)
- Testing/Expanding (Months 3-6)
- Production (Months 6-12)
Includes everything:
- Unlimited users, unlimited proposals
- Full hosting and infrastructure
- 24/7 technical support
- All compute costs (LLM APIs)
- Continuous improvements
- Knowledge base management
--- COST COMPARISON
Equivalent to hiring 2-3 junior engineers but with:
- 24/7 availability, zero turnover
- Unlimited capacity, infinite scaling
- Permanent knowledge preservation
--- RISK MITIGATION
We prove value in 3 months before you commit to full transformation. Fixed-fee engagement, not open-ended consulting.
PILOT PHASE (Months 0-3):
Validation of approach, not full ROI yet. You see that AI replica can generate
accurate proposals and handle your product complexity.
PRODUCTION PHASE (Months 6-12):
Average client sees $1.4M additional revenue in first quarter of production.
Typical full deployment results:
- Technical response time: Days → 30 seconds
- Expert capacity: 1-10 requests/day → Unlimited
- Win rate increase: 25-35% from speed advantage
- Engineer time freed: 40% capacity for innovation
- Payback period: 28-60 days from production launch
ROI calculation: We model your specific impact during pilot phase based on:
- Current expert capacity constraints
- Average deal size and cycle time
- Technical response delays costing deals
- Volume handled vs. volume possible
Pilot proves the approach. Full deployment delivers the revenue impact.
Validation of approach, not full ROI yet. You see that AI replica can generate
accurate proposals and handle your product complexity.
PRODUCTION PHASE (Months 6-12):
Average client sees $1.4M additional revenue in first quarter of production.
Typical full deployment results:
- Technical response time: Days → 30 seconds
- Expert capacity: 1-10 requests/day → Unlimited
- Win rate increase: 25-35% from speed advantage
- Engineer time freed: 40% capacity for innovation
- Payback period: 28-60 days from production launch
ROI calculation: We model your specific impact during pilot phase based on:
- Current expert capacity constraints
- Average deal size and cycle time
- Technical response delays costing deals
- Volume handled vs. volume possible
Pilot proves the approach. Full deployment delivers the revenue impact.
HIRING ENGINEERS:
- Cost: $100K+ per engineer annually
- Ramp time: 12-18 months to full productivity
- Capacity: Still limited to 8-10 hours/day per person
- Risk: Turnover, knowledge loss, retirement
- Scale: Linear (need more people for more capacity)
AI REPLICAS:
- Cost: 2-3 junior engineers
- Ramp time: 3 months to proof of concept, 6-12 months to full deployment
- Capacity: Unlimited simultaneous requests, 24/7
- Risk: Zero turnover, permanent knowledge
- Scale: Infinite (same cost regardless of volume)
KEY ADVANTAGE: Prove it works with 3 months pilot before full commitment.
Not replacing engineers. Multiplying them.
- Cost: $100K+ per engineer annually
- Ramp time: 12-18 months to full productivity
- Capacity: Still limited to 8-10 hours/day per person
- Risk: Turnover, knowledge loss, retirement
- Scale: Linear (need more people for more capacity)
AI REPLICAS:
- Cost: 2-3 junior engineers
- Ramp time: 3 months to proof of concept, 6-12 months to full deployment
- Capacity: Unlimited simultaneous requests, 24/7
- Risk: Zero turnover, permanent knowledge
- Scale: Infinite (same cost regardless of volume)
KEY ADVANTAGE: Prove it works with 3 months pilot before full commitment.
Not replacing engineers. Multiplying them.
No. We work with what you have.
PILOT PHASE APPROACH:
We extract knowledge from:
- Existing documents and spreadsheets
- Emails and customer interactions
- One expert's interviews and shadowing (40 hours over 12 weeks)
- Historical proposals and quotes
- Tribal knowledge in their head
We structure and enrich it during the engagement. Your expert continues normal work while we extract knowledge. Zero disruption.
The 3-month pilot proves we can work with your existing messy data—no cleanup required before starting.
PILOT PHASE APPROACH:
We extract knowledge from:
- Existing documents and spreadsheets
- Emails and customer interactions
- One expert's interviews and shadowing (40 hours over 12 weeks)
- Historical proposals and quotes
- Tribal knowledge in their head
We structure and enrich it during the engagement. Your expert continues normal work while we extract knowledge. Zero disruption.
The 3-month pilot proves we can work with your existing messy data—no cleanup required before starting.
We only work with manufacturers of complex, technical B2B products.
Industries we serve:
Industrial equipment | HVAC & thermal systems | Security systems |
Electrical components | Specialized machinery | Custom manufacturing
If your products require:
- Deep technical expertise to configure and quote
- Product specifications with multiple variables
- Technical sales cycles with engineering involvement
- Expert knowledge that drives deals but limits capacity
Then we can multiply that expertise.
We validate the approach works with your specific complexity, terminology,
and workflows. Manufacturing specialists, not generalist AI vendors.
Industries we serve:
Industrial equipment | HVAC & thermal systems | Security systems |
Electrical components | Specialized machinery | Custom manufacturing
If your products require:
- Deep technical expertise to configure and quote
- Product specifications with multiple variables
- Technical sales cycles with engineering involvement
- Expert knowledge that drives deals but limits capacity
Then we can multiply that expertise.
We validate the approach works with your specific complexity, terminology,
and workflows. Manufacturing specialists, not generalist AI vendors.
Deep collaboration, not distant vendor relationship.
Our process:
- Shadow experts documenting workflows
- Conduct structured knowledge interviews
- Collect historical proposals and customer interactions
- Document decision-making patterns and tribal knowledge
- Record how experts explain products to different audiences
Your experts continue normal work. We handle the extraction.
Our process:
- Shadow experts documenting workflows
- Conduct structured knowledge interviews
- Collect historical proposals and customer interactions
- Document decision-making patterns and tribal knowledge
- Record how experts explain products to different audiences
Your experts continue normal work. We handle the extraction.
Yes. That's where the real multiplication happens.
Deployment options:
- Internal teams: Sales, support, engineering, product
- Channel partners: Distributors and resellers
- Direct customers: Self-service configuration and purchasing
Same expert knowledge. Every touchpoint. Unlimited availability.
Typical deployment path:
- Months 0-3: Internal validation
- Months 3-6: Internal teams at scale
- Months 6-12: External partners and customers
This staged approach proves value internally before expanding to external
channels.
Deployment options:
- Internal teams: Sales, support, engineering, product
- Channel partners: Distributors and resellers
- Direct customers: Self-service configuration and purchasing
Same expert knowledge. Every touchpoint. Unlimited availability.
Typical deployment path:
- Months 0-3: Internal validation
- Months 3-6: Internal teams at scale
- Months 6-12: External partners and customers
This staged approach proves value internally before expanding to external
channels.
Multiple accuracy safeguards built into the engagement:
MONTHS 0-3:
- Generate 5-10 test proposals
- Expert reviews every output
- Identify gaps in knowledge base
- Validate that accuracy is achievable
MONTHS 3-6:
- Process 500+ real requests
- Collect detailed feedback on every proposal
- Target: 80%+ proposals rated "usable with minor comments"
- Error tracking by type (factual, calculation, language, style)
MONTHS 6-12:
- Target: 90%+ accuracy on 90% of proposals
- Continuous improvement from user feedback
- Human-in-the-loop for high-value requests (configurable threshold)
You maintain full control. Experts can review and override any response.
MONTHS 0-3:
- Generate 5-10 test proposals
- Expert reviews every output
- Identify gaps in knowledge base
- Validate that accuracy is achievable
MONTHS 3-6:
- Process 500+ real requests
- Collect detailed feedback on every proposal
- Target: 80%+ proposals rated "usable with minor comments"
- Error tracking by type (factual, calculation, language, style)
MONTHS 6-12:
- Target: 90%+ accuracy on 90% of proposals
- Continuous improvement from user feedback
- Human-in-the-loop for high-value requests (configurable threshold)
You maintain full control. Experts can review and override any response.
Neurologik operates globally with team members across multiple regions.
We serve manufacturing clients worldwide:
- North America
- Europe and UK
- APAC markets
Remote-first engagement model. All knowledge capture, training, and deployment done virtually with occasional on-site visits as needed.
Data residency: Can host in US, EU, or regional datacenters based on your requirements.
We serve manufacturing clients worldwide:
- North America
- Europe and UK
- APAC markets
Remote-first engagement model. All knowledge capture, training, and deployment done virtually with occasional on-site visits as needed.
Data residency: Can host in US, EU, or regional datacenters based on your requirements.
MANUFACTURING SPECIALISTS
We only work with manufacturers of complex technical products. Your challenges are our specialty—not a side vertical.
PROOF-OF-CONCEPT FIRST
POC validates approach before full commitment. Clear decision point at 3 months.
CONSULTING, NOT SOFTWARE
Strategic partner, not just software vendor. We work as extension of your team. Fixed-fee engagement, measurable outcomes.
FOUNDER EXPERTISE
Built by people who spent 20+ years in enterprise B2B—HP, VMware, Veeam, SAP, AVAYA. We've lived the problem.
CUSTOM AI REPLICAS
Trained on YOUR experts, YOUR products, YOUR workflows.
OUTCOME-FOCUSED
Measured by business results (revenue, capacity, speed), not just technical features.
We only work with manufacturers of complex technical products. Your challenges are our specialty—not a side vertical.
PROOF-OF-CONCEPT FIRST
POC validates approach before full commitment. Clear decision point at 3 months.
CONSULTING, NOT SOFTWARE
Strategic partner, not just software vendor. We work as extension of your team. Fixed-fee engagement, measurable outcomes.
FOUNDER EXPERTISE
Built by people who spent 20+ years in enterprise B2B—HP, VMware, Veeam, SAP, AVAYA. We've lived the problem.
CUSTOM AI REPLICAS
Trained on YOUR experts, YOUR products, YOUR workflows.
OUTCOME-FOCUSED
Measured by business results (revenue, capacity, speed), not just technical features.
Yes. Full control throughout the engagement.
Knowledge boundaries:
- You define which documents and data to include
- You review and approve knowledge base content
- You set access permissions by user role
Response controls:
- Human-in-the-loop for high-value requests (configurable threshold)
- Expert review and override capability
- Feedback system to correct and improve responses
Security:
- Role-based access control (RBAC)
- Audit logging for all AI interactions
- Private deployment (your data never shared with other customers)
- Encrypted data at rest and in transit
This is your system. You control it completely.
Knowledge boundaries:
- You define which documents and data to include
- You review and approve knowledge base content
- You set access permissions by user role
Response controls:
- Human-in-the-loop for high-value requests (configurable threshold)
- Expert review and override capability
- Feedback system to correct and improve responses
Security:
- Role-based access control (RBAC)
- Audit logging for all AI interactions
- Private deployment (your data never shared with other customers)
- Encrypted data at rest and in transit
This is your system. You control it completely.
Multiple stakeholders across manufacturing organizations:
SALES TEAMS
Get instant technical answers during customer calls. Quote complex products in 30 seconds instead of days.
ENGINEERING TEAMS
Freed from repetitive questions. AI handles standard requests. Experts focus on complex innovation.
SUPPORT TEAMS
Resolve advanced issues without escalation. Access expert knowledge instantly.
CHANNEL PARTNERS
Distributors quote and configure products without waiting for your team.
PRODUCT TEAMS
New hires ramp faster. Access senior-level expertise immediately.
LEADERSHIP Revenue unconstrained by expert availability. Knowledge preserved through transitions.
SALES TEAMS
Get instant technical answers during customer calls. Quote complex products in 30 seconds instead of days.
ENGINEERING TEAMS
Freed from repetitive questions. AI handles standard requests. Experts focus on complex innovation.
SUPPORT TEAMS
Resolve advanced issues without escalation. Access expert knowledge instantly.
CHANNEL PARTNERS
Distributors quote and configure products without waiting for your team.
PRODUCT TEAMS
New hires ramp faster. Access senior-level expertise immediately.
LEADERSHIP Revenue unconstrained by expert availability. Knowledge preserved through transitions.
Yes. AI replicas respond in 50+ languages.
How it works:
- Train on your documentation in primary language(s)
- AI responds in multiple languages automatically
- Maintains technical accuracy across translations
- Adapts communication style per language
Typical use case:
North American manufacturer with EMEA and APAC partners. Single knowledge base. Responses in local languages. Cost: Included in standard engagement.
How it works:
- Train on your documentation in primary language(s)
- AI responds in multiple languages automatically
- Maintains technical accuracy across translations
- Adapts communication style per language
Typical use case:
North American manufacturer with EMEA and APAC partners. Single knowledge base. Responses in local languages. Cost: Included in standard engagement.
We select the best foundation models based on your specific requirements.
Primary: Claude (Anthropic) for complex reasoning and generation
Alternatives: GPT (OpenAI), Gemini (Google) depending on use case requirements
Specialized: Vision models for CAD/drawing interpretation
Architecture: GraphRAG (Graph-based Retrieval-Augmented Generation)
We evaluate your products, workflows, and technical complexity to determine
optimal model combination. You benefit from advances in AI without managing
the complexity.
No vendor lock-in: We can adapt to different models as your needs evolve or
technology advances.
Technical infrastructure and model selection handled by us. You focus on
business outcomes.
Primary: Claude (Anthropic) for complex reasoning and generation
Alternatives: GPT (OpenAI), Gemini (Google) depending on use case requirements
Specialized: Vision models for CAD/drawing interpretation
Architecture: GraphRAG (Graph-based Retrieval-Augmented Generation)
We evaluate your products, workflows, and technical complexity to determine
optimal model combination. You benefit from advances in AI without managing
the complexity.
No vendor lock-in: We can adapt to different models as your needs evolve or
technology advances.
Technical infrastructure and model selection handled by us. You focus on
business outcomes.
Yes. We offer both cloud and on-premise deployment.
CLOUD (Standard):
- Neurologik private cloud (100% dedicated to you)
- Faster deployment
- Managed infrastructure and updates
- Geographic redundancy (US + EU datacenters)
- Most clients choose this option
ON-PREMISE (Available):
- Longer deployment timeline
- Higher implementation cost
Both options include full data security, RBAC, and encryption. We help you
choose based on your requirements.
CLOUD (Standard):
- Neurologik private cloud (100% dedicated to you)
- Faster deployment
- Managed infrastructure and updates
- Geographic redundancy (US + EU datacenters)
- Most clients choose this option
ON-PREMISE (Available):
- Longer deployment timeline
- Higher implementation cost
Both options include full data security, RBAC, and encryption. We help you
choose based on your requirements.
Many companies try. Most fail or take 18+ months with no guarantee of success.
THE CHALLENGE:
- Requires specialized AI/ML team ($150-200/hour)
- Generic AI doesn't understand your manufacturing products
- Knowledge extraction from tribal expertise is complex
- Maintenance and continuous improvement is 80% of the work
- Engineering resources diverted from core business
NEUROLOGIK VS. DIY:
Build In-House:
- $400K-600K over 18+ months
- High failure risk
- Ongoing maintenance burden on your team
Neurologik:
- $120-250K Year 1, 12 months to production
- Proven methodology, decision points at months 3 and 6
- We handle everything—you focus on your business
We're manufacturing specialists who've done this before. You get proven results
without the risk and distraction of DIY.
THE CHALLENGE:
- Requires specialized AI/ML team ($150-200/hour)
- Generic AI doesn't understand your manufacturing products
- Knowledge extraction from tribal expertise is complex
- Maintenance and continuous improvement is 80% of the work
- Engineering resources diverted from core business
NEUROLOGIK VS. DIY:
Build In-House:
- $400K-600K over 18+ months
- High failure risk
- Ongoing maintenance burden on your team
Neurologik:
- $120-250K Year 1, 12 months to production
- Proven methodology, decision points at months 3 and 6
- We handle everything—you focus on your business
We're manufacturing specialists who've done this before. You get proven results
without the risk and distraction of DIY.
