Turn process data into a calculation you can verify.
Assess cycle time, cooling and manufacturing costs with a deterministic calculation core, documented assumptions and machine-side validation.
Everywhere Your Factory Operates.
Web
Review supported engineering calculations, reports and retained process knowledge in your browser.
Open Web App arrow_right_altTelegram Bot
Submit supported process data and review engineering guidance from the shop floor. Validate recommendations before machine use.
Start Chatting arrow_right_altAndroid
A native client for the same engineering workflows, distributed through project-controlled signed releases.
Ask about Android access arrow_right_altThe Efficiency Loop
Provide the process evidence
Upload supported machine records, material information or drawings. Check extracted values and missing inputs.
Review the calculation
Inspect assumptions, supported physical checks and warnings. AI extraction and explanatory text remain subject to review.
Validate before production
Have a qualified machine setter verify machine and material limits, perform a controlled trial and confirm the proposed setting.
analyticsDeterministic Engineering Core & Hallucination Guardrails
Supported calculations apply physical constraints and available material and machine limits. Warnings identify selected limits; a qualified machine setter must validate the result before production.
> Calculating Cycle Time...
> Cooling Coefficient: 0.8422
> Thermal Diffusivity: 0.0821
> REVIEW: Confirm the proposed cycle on the machine.
Core Intelligence Modules
The tools that transform your injection molding operations into a high-margin data engine.
Process Optimization
Fine-tune injection speed, hold pressure, and cooling times. Reduce cycle times by up to 15% through precision physics-driven parameter adjustments.
Material Expertise
Access a massive verified database of 10k+ polymers with precise shrinkage and viscosity profiles for any grade.
RFQ Part Costing
Generate instant part cost estimates. Upload a 3D file or dimensions and get deterministic pricing.
RFQ Mold Costing
Complex mold calculations including cavitation, runner types, and material life expectancy estimates.
Retrovision
Analyze historical batch data to identify long-term drift in machine performance and tool wear.
Process Window
Define safe operating boundaries for every parameter. Scientific molding methodology with DOE-based validation, Cpk tracking, and automatic process window visualization.
Engineering checks and data handling
Physical calculations and selected machine/material checks support engineering review. Warnings do not detect every unsafe combination. Validate every production change on the machine.
Temporary processing stages coexist with encrypted document storage and retained results. Retention follows the active service rules; contact support@injeai.com for deletion.
injeAI does not train its own models on customer CAD files or commercial process sheets. External inference providers and applicable processing terms are disclosed in the Privacy Policy.
Use the signed injeAI Android application through the project distribution channel. Distribution does not certify engineering accuracy; validate proposed settings before production.
Evaluate the economics before changing the process
Illustrative scenario: a validated 1.5-second reduction over 100,000 cycles releases approximately 41.7 machine hours. At €60 per machine hour, the gross capacity value is €2,500.
Capacity value = cycles × seconds saved ÷ 3,600 × machine-hour rate. This excludes validation costs, downtime and demand constraints. It is not a guaranteed cash saving or first-use payback.
A basic free tier is offered within the published feature and usage limits. Review the current plan before ordering additional capacity.
Keep engineering knowledge usable on the shop floor
Work from process sheets, material data and machine limits through Web, Telegram or Android. Guided inputs reduce the need to operate a full CAD/CAE package for supported calculations.
Retained reports and documented assumptions help experienced setters explain decisions and onboard new colleagues. The qualified setter remains responsible for machine-side validation; the service does not replace specialist simulation or a safety review.
The application backend is hosted in Madrid, EU. External inference and delivery services may process data elsewhere, as described in the Privacy Policy.
Technology ecosystem
Program membership does not certify engineering results. Every proposed production setting requires machine-side validation.
Transparent Scaling
Choose the intelligence level that fits your factory's output.
Free
- check_circle5 Monthly Reports
- check_circleTelegram Bot Access
- check_circleMaterial Lookup
Professional
- check_circleUnlimited Reports
- check_circleAdvanced Optimization
- check_circleRFQ Automation
- check_circleEnterprise Data Export
Usage Based
- check_circle€2.50 Per Report
- check_circleAll Pro Features
- check_circleNo Fixed Monthly Cost
domainEnterprise Solutions
On-premise air-gapped deployment, custom material library integration, and full API access for global factory networks spanning multiple continents.
Frequently Asked Questions
How accurate are the optimization suggestions?expand_more
Accuracy depends on the input data, material evidence, supported model and machine condition. Review assumptions and warnings, then have a qualified setter validate the proposal in a controlled trial. No universal accuracy percentage or guaranteed cycle reduction is claimed.
Can I use the Telegram bot with older machines?expand_more
You can submit supported photographs and documents from the shop floor. Extraction depends on legibility and the available data. Confirm the extracted values and equipment limits before applying a recommendation.
Where is my factory data stored?expand_more
Backend hosting and configured object storage are in Madrid, Spain. Selected information can be processed by external providers and stored in the Industrial Vault or work history. See the Privacy Policy for providers, retention and deletion.