# Bardin AI

> Bardin AI builds AI tools and agents for industrial sales and application engineering. The platform helps sales engineers, application engineers, and technical support teams scope, sell, and support complex, configurable industrial products. Bardin captures engineering judgment and puts it to work across every deal, every team, and every region.

## What Bardin Does

Bardin builds AI tools and agents for industrial sales and application engineering. It connects product data, customer information, and project history into a single knowledge platform. AI chat gives teams instant, verified answers grounded in their own data. Purpose-built tools and agents automate workflows like RFQ response, project scoping, technical proposal generation, compliance validation, competitive battlecards, meeting preparation, and support ticket resolution. A living industrial ontology captures engineering judgment from every interaction and compounds it over time.

The platform includes four layers:
- **Bardin Vault**: Connects product specs, customer data, project history, standards, and custom knowledge sources. Upload, import, or connect via CRM and ERP integrations.
- **Bardin Chat**: AI chat interface with verified answers, source citations, document and table generation, file upload analysis, mobile, voice, and multilingual support.
- **Bardin Tools and Agents**: Smart questionnaires, workflow automation, technical document generation, compliance and standards validation, competitive battlecards, customer visit preparation, and support ticket resolution.
- **Bardin Ontology**: Pre-built six-layer industrial ontology (Customer Context, Problem and Need, Application, Requirements, Solution, Outcome) with automatic pattern detection, precedent surfacing, and user-controlled customization.

## Who Uses Bardin

- **Sales engineers** answering complex technical questions and generating proposals
- **Application engineers** scoping projects, validating feasibility, and configuring products
- **Technical support teams** resolving field issues and support tickets
- **Distributors and partners** selling and supporting products with engineering depth
- **New hires** onboarding faster with access to institutional knowledge

## Company Types

- Industrial component manufacturers and OEMs
- System integrators
- Distributors
- Machine builders

## Industries Served

- **Motion & Drives**: Servo motors, stepper motors, VFDs, linear actuators, gearboxes, gear reducers. AI for motor sizing, drive selection, torque calculation, and motion system configuration.
- **Sensors & Controls**: Proximity sensors, photoelectric sensors, vision systems, pressure/temperature sensors, safety controllers, PLCs, HMIs. AI for sensor selection, environmental compatibility, safety compliance validation.
- **Connectivity & IIoT**: Industrial Ethernet switches, protocol gateways, fieldbus components, edge computers, connectors. AI for protocol compatibility, gateway selection, network architecture, legacy system migration.
- **Fluid Power & Pneumatics**: Pneumatic cylinders, hydraulic cylinders, valves, regulators, manifolds. AI for cylinder sizing, valve selection, air consumption calculation, system configuration.
- **Automation & Robotics**: PLCs, HMIs, SCADA, DCS, motion controllers, cobots, AMRs, robotic controllers, end effectors. AI for PLC selection, system architecture design, cobot configuration, AMR fleet scoping.
- **Semiconductors & Power Electronics**: IGBTs, MOSFETs, power modules, gate drivers, voltage regulators, microcontrollers, FPGAs. AI for power module selection, thermal analysis, safe operating area validation, gate driver compatibility.

## Key Capabilities

- Respond to RFQs by analyzing requirements, mapping to products, flagging gaps, and drafting structured responses
- Validate product feasibility against technical specifications and application constraints
- Generate technical proposals, feasibility reports, SOWs, and configuration guides
- Scope complex projects with AI-guided questionnaires and structured workflows
- Validate products against industry standards (IEC, UL, ATEX, FDA, SIL)
- Generate competitive battlecards with side-by-side product comparison
- Prepare structured customer visit briefs with account history and installed base
- Resolve support tickets using application history and past resolutions
- Troubleshoot field issues with root cause analysis from project history
- Onboard new reps with guided access to product knowledge and application history
- Enable distributors and partners with controlled access to engineering knowledge
- Capture engineering judgment into a living ontology that compounds over time
- Detect patterns across project history (product combinations, successful configurations, customer profiles)
- Surface relevant precedents before new project work begins

## Differentiation

- **vs. Generic AI (ChatGPT, Copilot, Glean)**: Generic AI is probabilistic and guesses from internet knowledge. Bardin is deterministic, grounded in the customer's own product data, application history, and documentation. Every answer has source citations.
- **vs. Enterprise Systems (Salesforce, SAP, ServiceNow)**: Enterprise systems track transactions. Bardin captures the engineering judgment and scoping logic behind those transactions.
- **vs. OEM Copilots (Siemens, ABB, Rockwell)**: OEM tools are vendor-specific and operations-focused. Bardin is vendor-agnostic and built for the commercial side — scoping, selling, and supporting.
- **vs. Internal Builds**: Internal AI tools are siloed to one company's data. Bardin brings cross-industry patterns and a pre-built industrial ontology that no internal team can replicate.

## Key Metrics

- 40x response velocity: from hours to minutes for complex technical questions
- 50% engineering time reclaimed: senior engineers focus on innovation, not repetitive support
- 30% sales cycle acceleration: faster scoping, quoting, and technical response
- 10x team performance: every rep performs with the confidence of the best application engineer

## Company Information

- **Founded**: 2023
- **Headquarters**: USA, Germany, Israel
- **Founders**: Fay Goldstein (CEO), Amir Taiar (CTO)
- **Named after**: John Bardeen, co-inventor of the transistor
- **Website**: https://www.bardinai.com
- **Contact**: hello@bardinai.com

## Key Pages

- [Home](https://www.bardinai.com)
- [About](https://www.bardinai.com/about)
- [Use Cases](https://www.bardinai.com/use-cases)
- [Platform Overview](https://www.bardinai.com/solutions)
- [Bardin Vault](https://www.bardinai.com/solutions/connect-your-data)
- [Bardin Chat](https://www.bardinai.com/solutions/ask-anything)
- [Bardin Tools and Agents](https://www.bardinai.com/solutions/automate-your-work)
- [Bardin Ontology](https://www.bardinai.com/solutions/build-intelligence)
- [Blog](https://www.bardinai.com/blog)
- [Contact](https://www.bardinai.com/contact)

## Blog Posts

- [Context Graphs for the Physical World](https://www.bardinai.com/blog/context-graphs-physical-world)
- [Manufacturing Happy Hour: An Application Engineer in Every Pocket](https://www.bardinai.com/blog/manufacturing-happy-hour)
- [Industrial Automation in 2026: The Talent Crisis and AI Shift](https://www.bardinai.com/blog/a3-business-forum-2026)
- [The Humanoid Implementation Gap](https://www.bardinai.com/blog/humanoid-implementation-gap)
- [SPS 2025: From AI Hype to Implementation](https://www.bardinai.com/blog/sps-2025-reflections)
- [Introducing Bardin](https://www.bardinai.com/blog/introducing-bardin)
- [9 Ways Industrial AI Transforms Technical Pre-Sales](https://www.bardinai.com/blog/9-ways-industrial-ai-transforms-pre-sales)
- [Hannover Messe 2025: The Industrial GTM Gap](https://www.bardinai.com/blog/hannover-messe-2025)