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MLMind is a 12-person engineering studio from Tbilisi, Georgia, building machine learning, web and mobile products for clients in healthcare, architecture, fintech and e-commerce. Founded in 2016.
What we have shipped
- MedicMinder — an AI platform that helps radiologists read MRI, CT and X-ray scans: segmentation, classification and detection.
- ArchiML — converts 2D architectural drawings into structured BIM models with walls, doors, windows and staircases, exported as IFC.
- MedLocator — a location search and booking portal for a medical laboratory network.
- Medical Tourism — a clinic marketplace with a searchable specialist directory and online booking.
- Netevia — engineering work on a US payments and banking platform for merchants.
How we work
A free 30-minute scoping call, a data audit, then a written plan with a success metric, price and timeline. A working prototype in 3–6 weeks, production in 3–4 months. Weekly demos, one shared board, replies within one business day. You own the code and the trained models, and an NDA is signed before any details change hands. Every stage ends with a go/no-go decision that is yours to make.
Services
Custom ML models (forecasting, scoring, classification, anomaly detection), computer vision, generative AI and LLM applications, assistants that answer from your own documents, AI agents and automation, chatbots, data engineering and MLOps, web and mobile development, UI/UX design, AI consulting.
Stack
Python, PyTorch, TensorFlow, scikit-learn, Pandas, React, Node.js, with deployments on AWS, GCP and Azure.
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Min project size
$10,000+
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Hourly rate
$25 - $49 / hr
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Employees
10 - 49
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Locations
bilisi, Georgia
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Year founded
Founded 2016
1 Locations
- bilisi , Georgia
Service Lines
- AI Development
- 25%
- Web Development
- 25%
No Focus Areas have been added yet…
Industries
- Medical
- 45%
- Real estate
- 20%
- Financial services
- 15%
- Other industries
- 10%
- eCommerce
- 10%
Clients
- Midmarket ($10M - $1B)
- 40%
- Small Business (<$10M)
- 40%
- Enterprise (>$1B)
- 20%
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Our Story
We are a 12-person team of engineers, data scientists and designers in Tbilisi. We started in 2016 building web products and moved into machine learning when clinics and architects brought us problems that rules could not solve. We measure before we build: every project starts with a written success metric, and every stage ends with a decision the client makes. Clients keep the code, the models and the documentation.
What Sets Us Apart
Metric before model
The success metric is agreed in writing before a line of code. A model nobody can measure is a model nobody can trust, so every project starts with a data audit and a written plan.An exit at every stage
Each stage ends with a go or no-go that is the client's to call, and with something they keep: the brief, the audit, the prototype, the code and the models. No lock-in, no retainer in the fine print.The people who plan it build it
Clients talk to the engineers who do the work, not to a sales team. One demo every week in the real tool, one shared board, and a reply within one business day.Locations (1)
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