Independent product company / Applied AI

We build tools for work that has to be right.

SnapReport is the team behind myQA.team and LÆRN. We build software for quality, audit, compliance, and workforce training where clear output matters more than AI theatre.

myQA.team / Product workspace
myQA.team SnapInspect dashboard showing inspection templates, progress, scores, and compliance
myQA.teamQuality assistance, powered by AI
LÆRN / Standalone training platform
Standalone LÆRN course library showing AI-assisted training courses and progress indicators
LÆRNAI-powered training platform
Two products in the field One focused product team Built from Europe
01 / CompanyWhat we are here to build

Software with a job to finish

Not AI for the demo.
AI for the workflow.

We turn dense, domain-specific work into software people can actually use.

Our products sit inside audited, regulated, and operational environments. That means the interface has to be clear, the output has to be reviewable, and the intelligence has to understand the domain before it says anything useful.

01Domain before model.

The workflow and its rules come first. Technology follows.

02Evidence before assertion.

Important output should stay traceable to its source.

03Product before spectacle.

Useful, legible, maintainable software beats a clever demo.

02 / ProductsWork you can open and use
Product / 01

Quality assistance, powered by AI.

Seven operational tools. One quality workspace.

myQA.team brings audit reports, inspections, evidence capture, label compliance, root-cause analysis, action plans, and training into one quality operating system.

  • AuditSnapReport and SnapInspect cover standards-based audits and operational inspections
  • CaptureCaptureIQ turns recorded work into transcripts and structured observations
  • ImproveLabel checks, root-cause analysis, and action plans close the quality loop
Ask us about myQA.team
Product / 02

A standalone AI-powered training platform.

A document enters. A complete training workflow comes out.

LÆRN is now its own product: a workspace for turning source documents into editable storyboards, narrated videos, quizzes, assignments, and trackable learning.

  • CreateUpload PDF, DOCX, TXT, or PPTX files into a guided four-step course workflow
  • EditRefine topics, slides, visuals, voice-over scripts, videos, and quizzes
  • DeliverAssign training, send access, and follow learner progress from one workspace
Open standalone LÆRN
03 / CapabilitiesWhat we bring to a new problem

Product, software, systems, intelligence

We design the workflow.
Then build every layer.

01 / AI & automation

Make intelligence useful inside the workflow.

Grounded assistants, RAG systems, document understanding, and automated workflows designed around reviewable output.

  • LLMs
  • RAG
  • n8n
  • LangChain
02 / Full-stack engineering

Ship the complete product, not a disconnected demo.

Responsive interfaces, dependable APIs, databases, integrations, and deployment brought together as one maintainable system.

  • Next.js
  • React
  • NestJS
  • Spring Boot
03 / Systems & cloud

Build a backbone that can keep growing.

Containerized services, event-driven architecture, delivery pipelines, and observability for resilient software operations.

  • Docker
  • Kubernetes
  • Kafka
  • Google Cloud
04 / Data & computer vision

Turn raw signals into decisions people can act on.

Structured analytics, OCR, object detection and tracking, and predictive models connected to real product interfaces.

  • Python
  • TensorFlow
  • OpenCV
  • Big data
Built in-house

Product design · Applied AI · Full-stack delivery · Microservices · Data intelligence · Cloud infrastructure

04 / TeamSmall by design

The people doing the work

Direct line to
the builders.

We keep the team close to the problem. The people in the conversation are the people shaping, designing, and shipping the product.

I
CEO & Executive

Ismail Saadi

Product strategy & applied AI

Say hello
N
Project Manager

Nizar Madeby

Planning, coordination & delivery

Say hello
Karim Klila
System Architecture Engineer

Karim Klila

Systems, cloud & automation

View LinkedIn
How we work

Product thinking, AI, data, and delivery stay in the same room.

You found us / Let's make it useful

Have a hard workflow worth fixing?

Tell us what your team is doing manually, repeatedly, or without enough confidence. We will tell you honestly whether we can help.

Start a conversation

Prefer email? snapreportai99@gmail.com

Currently accepting product conversationsTunis / Switzerland / Remote