- Get your own AI.
From image to decision in minutes:
train it yourself, document securely, integrate seamlessly.
On the Web
Intuitive and guided by the TrAInity Integration Assistant. Prepare your own models (including creating datasets & training) and deploy them into concrete integration scenarios.
On-the-go (Pocket)
On-the-go (Pocket): TrAInity Pocket brings AI to your smartphone — from creating datasets and training models to using them via the phone camera.
What is TrAInity?
TrAInity makes your team AI-capable in hours: teach your own products, deploy at the line, and monitor & automatically document every step. Not an island system — but a product that plugs into your processes and hooks into shop-floor dialogs from day one.
Train & Deploy:
Teach your own products/features, generate datasets (including labeling), train & version models, and deploy them in your environment.
Run:
Real-time assistance at the line: suggestion → confirmation/correction → sorting/label/booking. Also automatable.
Record:
Photo documentation + metadata (time/lot/number) — audit-ready.
Connect:
Via standard SLA connectors to SLA products such as Goods Receipt, Production, Picking, Traceability & ERP.
“Train first” – the difference
Your AI is built where it delivers value: on the shop floor — and on the go. TrAInity reduces the hurdle from dataset to model to three steps and makes iteration part of everyday work.
Collect & label images
Train model
Configure integration
Roll out to the line.
Your benefits at a glance
Transparency, AI empowerment, and active co‑creation: Use TrAInity to shape and observe your modules — and experience the advantages of AI‑based product recognition with everyday empowerment
Fewer errors
consistent assignment in real time.
Faster
assistance in sync with the takt.
Everything documented
photo evidence & audit trail
Traceability
images/numbers in the batch tree.
Quick to integrate
standard connectors to SLA modules/ERP.
Numbers visible
monitor confidence scores, error rates, and drift in TrAInity
*act when needed (train new models, expand datasets, etc.) — optionally with a direct link to BI (bitstobiz/Qlik).
Integration into your workflow
Support—and in many cases automation — when integrating your models. No island solution: TrAInity helps plan integration scenarios and accompanies the connection of AI modules to existing dialogs. Wherever the AI systems run, you have direct access.
Some examples:
Goods Receipt
Visual QC + photo evidence in the receipt dialog.
Production
Inbound/backflush/outbound — vision alongside scan/scale/manual.
Picking
Item/pallet assignment & label reprint.
Traceability Manager
Top‑down/bottom‑up batch tree (image links).
Here’s how it looks in practice:
An AI module automatically identifies the correct cut at the deboning/cutting output — fewer mis‑sorts, stable takt. With TrAInity you observe the system live every day, receive performance updates, inspect individual images, and provide per‑image feedback. The integrated assistant tells you how to keep the system optimal — including when training or adjustments are needed — and answers questions in real time.
Brand Qualitätsfleisch:
Product recognition (cameras + scales + AI models). For years, hundreds of outbound items have been identified, metadata (e.g., organic) linked — the foundation for transparent, automated sorting. To unlock full potential, optimize deployments, and connect additional lines, TrAInity is used: started internally, now also for customers — with a daily performance overview. New item? New cut? Simply upload example images and adapt product recognition for dynamic processes. Performance values of individual models vary depending on data and environment.
Integration into your workflow
Let your employees manage the AI systems themselves: train adjustments on their own, understand and guide integration with AI assistance we plan the shortest path to success with AI empowerment through SLA AI products, amplified by TrAInity.
Your future with AI starts here
Frequently Asked Questions
The most frequently asked questions—answered briefly so you can decide quickly.
What is TrAInity — and how does it differ from classic machine‑vision systems?
TrAInity is a trainable visual AI for production and logistics that lets teams train their own models and use them productively right on the shop floor. Instead of project‑heavy one‑off solutions, TrAInity follows a “product over project” approach: standardized building blocks, short paths from dataset to rollout, clear packages, and scalable integration. At the core: Train → Run → Record → Connect—train models yourself, recognize/assist in real time, automatically back it up with photo documentation, and integrate seamlessly into existing processes/ERP. This makes visual quality assurance reproducible, audit‑ready, and measurable—with time‑to‑value at the product level rather than on a project basis.
How do I integrate my AI systems with TrAInity into operational systems and processes (e.g., Goods Receipt, Production, Picking, Traceability & ERP)?
TrAInity is not an island solution, but an additional input channel in your shop‑floor dialogs—e.g., Goods Receipt (visual QC + photo evidence), Production (inbound/backflush/outbound), Picking (item/pallet assignment, label reprint), and Traceability (top‑down/bottom‑up batch tree). Standard connectors ensure that recognition/booking events including metadata reliably reach the ERP/module and flow into familiar processes. Your UI/logic remains—it’s augmented and accelerated by TrAInity: fewer mis‑assignments, more stable takt, continuous proof.
How do I train “my own AI” with TrAInity — and what steps are required?
The training process is deliberately lean: collect images, label/review, train, choose a version, and roll out. If you already have an integrated AI system (e.g., AI product recognition at the cutting output) and want to improve it, log in, select the system as a project, check performance/current model/integration scenarios, and correct misclassifications—then retrain to optimize. For new items/products, click “Create new” and you’ll be guided: capture images (e.g., from exceptions), label/review, train, choose deployment/integration scenario, and roll out. Performance depends on data and environment (lighting, optics, takt). Existing product‑recognition setups have achieved very high hit rates—so we start with a data/KPI check.
How does TrAInity support audits, quality assurance, and end‑to‑end traceability?
With Record, TrAInity automatically documents images + metadata (time, lot, number) per event—the basis for audit‑ready photo documentation, complaint resolution, and QA reports. In combination with slaughter number recognition and the Traceability Manager, a comprehensible batch tree emerges where image and process data can be linked with a click. This reduces manual documentation effort, closes gaps in traceability, and speeds up internal and regulatory audits. Evidence is available in real time—exportable or viewable directly in the module
What practice proofs exist — and what can I learn from them for my use case?
A strong practice anchor is digital sorting at Brand Qualitätsfleisch: at the cutting output, AI identifies several hundred outbound items, links metadata (e.g., “organic”), and reduces mis‑sorting while increasing transparency. This shows: cameras + scales + AI deliver measurable effects in existing processes—in the day‑to‑day of a mid‑sized operation. For new deployments, what pays off: a clear use case, clean data collection, training iteration, and shop‑floor integration into the target dialogs (GR/Production/Picking/Traceability).
How do I get started with TrAInity—is there a pilot, trial version, or waitlist?
Getting started follows a clear plan: (1) data/KPI check for the use case, (2) pilot with Core (Run + Connect) + Record for robust evidence, (3) training fine‑tuning, (4) Monitor/BI for impact & drift. A trial version is planned; until it’s released we recommend the waitlist and/or a pilot on a real line—so insights flow straight into training and rollout. “Standard over project” ensures predictable steps and a scalable base; KPIs/visualizations can be provided via bitstobiz/BI.
