Sold by: Syntax Systems USA LP
Engineering and IT productivity co-pilot covering PLC programming, code generation, technical drawings, product modelling, predictive quality, and grounded knowledge retrieval. Speeds PLC engineering with documentation parsing and legacy-language conversion, generates and standardizes early-phase product designs and technical drawings, predicts quality issues to extend asset life, predicts vehicle road-test outcomes to eliminate physical tests, and grounds answers in Confluence and Polarion documentation. CIOs, VP Engineering, plant engineering heads, and lead architects boost developer productivity with auto-generated tests, fewer code errors, and faster engineering decisions.
Overview
Syntax IT & Engineering Co-Pilot AI Suite built on Amazon Bedrock boosts engineering and IT productivity across PLC programming, code generation, technical drawings, product modelling, predictive quality, and grounded knowledge retrieval. CIOs, VP Engineering, and lead architects get a co-pilot for the hardest, slowest parts of engineering work.
##Key Capabilities
- PLC engineering acceleration with documentation parsing and legacy-language conversion
- Code generation, test generation, and code standardization
- Early-phase product design and technical drawing generation
- Predictive quality models to extend asset life
- Vehicle road-test outcome prediction to reduce physical tests
- Knowledge retrieval grounded in Confluence and Polarion
- Standardization assistance across engineering documentation
##Customer Benefits
- PLC engineers ramp on legacy code dramatically faster
- Developers get auto-generated tests and fewer regressions
- Designers produce standardized drawings in less time
- Quality teams predict and prevent issues before they ship
- Engineering decisions grounded in current, cited documentation
- Costly physical road tests reduced through simulation prediction
##Outcomes
- Higher developer and engineer throughput
- Lower code defect rate and faster build/test cycles
- Reduced engineering rework on early-phase designs
- Avoided physical test cost in product validation
- Faster, more confident engineering knowledge decisions
##Who It's For
CIOs, VP Engineering, Heads of Plant Engineering, Lead Architects, R&D Directors, and Software Engineering Managers at industrial, automotive, and discrete manufacturing organizations.
##Engagement Process
Delivered as a managed AI suite with enterprise security, consolidated billing, and integration to PLM, ALM (Polarion), Confluence, and engineering toolchains.
Less than 8 weeks to Value-Realization
- Discovery – Define & Prioritize
- Integration and Configuration – Configure & Build
- Pilot and Validation – Deploy, Test and Validate
- Go-Live and Handover – Value Generation begins
Highlights
- Accelerate PLC and software engineering - The AI co-pilot parses documentation and converts legacy PLC languages so engineers ramp faster on unfamiliar codebases. Code generation capabilities auto-generate tests, reduce code errors, and lower regression counts, giving developers higher throughput across the software lifecycle. Supports integration with ALM tools like Polarion and engineering toolchains for seamless adoption into existing workflows.
- Generative product design and predictive quality - Early-phase product models and technical drawings are generated and standardized automatically, reducing manual design effort. Predictive quality models identify potential issues before they reach production, extending asset life and lowering rework. Road-test prediction capabilities reduce the need for costly physical vehicle tests by simulating outcomes, cutting test cycles and associated expenses.
- Enterprise knowledge retrieval grounded in your documentation - Answers are grounded in Confluence and Polarion content so engineering and IT teams get accurate, context-aware responses drawn from their own knowledge bases. Delivered as a managed AI suite with enterprise security, consolidated billing, and integration to PLM, ALM, Confluence, and engineering toolchains. Designed for CIOs, VP Engineering, plant engineering heads, and lead architects seeking faster engineering decisions.
Details
Sold by
Categories
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Support
Vendor support
Syntax provides 24x7 global support for all AI Suite services. Support covers issue resolution, troubleshooting, configuration questions, and assistance with integrations.
Getting Started
To begin an engagement, schedule a discovery call with Syntax to assess your data readiness, identify priority use cases, and receive a tailored implementation plan. Contact Syntax through AWS Marketplace or visit syntax.com to request a scoping session.
Ongoing Managed Service Support
As a managed AI suite, Syntax handles ongoing model management, data pipeline monitoring, and system optimization. Support covers questions about using the service, troubleshooting data integration issues, and requesting configuration changes.
Contact and Assistance
For support inquiries - including service issues, troubleshooting, and refund requests - reach out to Syntax's global support team at support@syntax.com , available around the clock.