From unstructured documents, handwriting and phone calls to factory vision and predictive maintenance, Kelectron builds AI that is deployed in your own environment, so your data never leaves.
$ kelectron --ai
readPDFs · scans · handwriting · emails → structured data
listenCalls → notes · tone · sentiment · action items
seeCameras → defects · anomalies · inspection
deployYour servers · your network · your data
→ private AI, built around your data
What it is
Most business data is not in neat tables. It sits in PDFs, scanned forms, handwritten registers, emails, call recordings and machine signals. Kelectron builds AI systems that read, listen to and watch this data, turn it into structured information, and run inside your own infrastructure.
Read, listen and understand
Turn free-form content into clean, searchable records your systems can use.
Read text and data from images and scans in any common format.
Make sense of the documents and inboxes your team reads by hand today.
Understand what was said on phone calls and how it was said.
Swarm AI
We build Swarm AI for your institute or industry: a team of specialised AI agents that work together on your documents, images, calls and machine data, running locally on your servers.
Your data
Inside your infrastructure
Your servers · your network · your control
No data sent to external AI services
What you get
Models run on your servers or private network. Documents, recordings and images are processed inside your infrastructure and are not sent to external AI services.
Agents are configured on your own forms, terminology, document types and rules, not on a generic template.
Local models can run offline, as our Edge-AI inspection systems already do on the factory floor.
Separate agents read, listen, inspect and analyse, then hand results to each other, so complex jobs are split into reliable steps.
See, predict and automate
Real-time visual inspection that runs next to the machine, offline.
Spot problems in machine and process data before they cause downtime.
Models trained on your data for decisions specific to your domain.
Assistants and workflows that do routine knowledge work for your team.
Proven in production
For a precision metal parts manufacturer we built an Edge-AI inspection unit that finds cracks, blowholes and underfill on casting and forging lines, with no cloud dependency.
A precision metal parts manufacturer required a fully automated defect detection system to eliminate human errors in quality checks across casting and forging
Read more →Where it applies
Defect inspection, predictive maintenance and automated quality records.
Industrial automationExtract data from regulatory documents and patents, and map claims to products.
Pharma intelligenceInvoices, orders, forms and email triage turned into structured entries.
Web applicationsCall transcription, notes, tone and sentiment for quality review.
Discuss a call-analysis projectDigitise handwritten registers and forms, and search them in plain language.
Discuss a digitisation projectHow we work
We look at your documents, images, calls or sensor data and agree what the AI must decide or extract.
Models are configured and evaluated on your real data, with accuracy measured before rollout.
The system runs on your servers or edge devices, connected to your existing software.
Low-confidence results go to a person, and corrections are used to improve the system.
It reads documents, PDFs, emails, scanned images, handwritten forms and recorded calls, extracts the facts that matter, and delivers them as structured data such as database records, Excel, CSV or JSON, ready for your ERP, dashboards or reports.
Yes. We build OCR and document-reading pipelines for handwritten and computer-printed text from common image and scan formats. Accuracy depends on scan quality and handwriting, so we evaluate on your own samples first and route uncertain results to a person for review.
Yes. Calls can be transcribed into notes, summaries and action items, and analysed for tone, sentiment and expression cues in the voice. These signals are indicators to support quality review and coaching, not a verdict on a person.
Swarm AI is our approach of building a private team of specialised AI agents for your institute or industry. One agent reads documents, another listens to calls, another inspects images and another analyses results, and they work together in one workflow deployed inside your own infrastructure.
Not in an on-premise deployment. The AI models run on your servers or private network, so your documents, recordings and images are processed inside your infrastructure and are not sent to external AI services.
Yes. In our Edge-AI defect-detection project, a convolutional neural network runs on an NVIDIA Jetson device next to the line, checking each part in under 200 ms with 99.3% detection accuracy and no cloud dependency.
Describe the documents, calls, images or machine data you work with and what you want to know from them. Our engineers will review it and get back to you.
