Spaces:
Running
Running
File size: 3,266 Bytes
451c844 0b2bf91 3bc3f7a 0b2bf91 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 | ---
title: README
emoji: 🐠
colorFrom: purple
colorTo: indigo
sdk: static
pinned: false
---
# TankDev
**TankDev is a software and AI engineering company based in Türkiye, building custom software systems, applied AI solutions, process automation, and system integrations.**
We design software around real operational workflows — from data models and business rules to APIs, integrations, automation, and production deployment.
## Engineering Areas
- **Custom Software Development** — Business-specific software systems built around operational requirements and workflows.
- **Applied Artificial Intelligence** — AI models and AI-assisted systems for classification, analysis, computer vision, and decision support.
- **Process Automation** — Traceable workflows that automate repetitive operational tasks and system actions.
- **System Integration** — Reliable data exchange between ERP, CRM, accounting, web applications, APIs, and other business systems.
- **Web & Backend Engineering** — Production-oriented applications, APIs, databases, authentication, background jobs, and integrations.
- **Software Modernization** — Migration of legacy applications and fragmented workflows into maintainable software architectures.
## Research & Engineering Projects
### DeepCancer
DeepCancer is TankDev's research project exploring artificial intelligence for histopathology image analysis.
The current research prototype investigates breast cancer histopathology using hybrid deep-learning architectures and explainability techniques such as Grad-CAM.
DeepCancer is intended for research and education and is **not a clinical diagnostic tool**.
[](https://deepcancer.org)
### Autonomous AI Video Studio
An automated production system that connects research, AI-assisted content generation, media production, validation, and publishing into a controlled workflow.
### AI Automation Reliability
TankDev also researches reliability in multi-step AI and LLM workflows, including failure propagation, retries, validation, observability, and measurable end-to-end reliability.
## Engineering Principles
We focus on systems that remain understandable and recoverable when something goes wrong.
Our engineering work emphasizes:
- explicit data ownership
- API contracts
- idempotency and safe retries
- traceable workflows
- validation and acceptance criteria
- observability
- failure recovery
- measurable AI performance
- maintainable system architecture
## Technologies
Our engineering work commonly involves:
`Python` · `FastAPI` · `PostgreSQL` · `Next.js` · `TypeScript` · `Docker` · `Linux` · `Machine Learning` · `Computer Vision` · `LLM APIs`
Technology selection depends on the requirements and constraints of each system.
## TankDev on the Web
**Website:** https://tankdev.tech/en
**Engineering Blog:** https://tankdev.tech/en/blog
**Systems & Research:** https://tankdev.tech/en/systems
**About TankDev:** https://tankdev.tech/en/about
**Contact:** https://tankdev.tech/en/contact
---
**TankDev — Software & AI Engineering**
Custom Software · Applied AI · Process Automation · System Integration
|