End-to-end artificial intelligence, from research to production.
Piksel Bayt is an R&D organisation that develops its own models and delivers end-to-end AI solutions, from feasibility through to production. The process is conducted under a single point of responsibility, with measurable and reportable outcomes at each stage.
Research areas
The disciplines in which our R&D activity is conducted.
Generative AI & LLMs
RAG architectures, domain adaptation and fine-tuning, distillation into smaller models, Turkish evaluation sets and on-premise deployment.
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Computer Vision
Object detection and tracking, video understanding, vision-language models, document intelligence and OCR, real-time inference on edge devices.
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AI Agents
Tool use, multi-step planning and multi-agent orchestration; MCP integration, human-in-the-loop workflows and safety guardrails.
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MLOps & Model Operations
Evaluation infrastructure, observability, hallucination and regression tracking, continuous retraining.
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Reinforcement Learning & Decision Systems
Decision policies that adapt to changing conditions, reward design, training in simulation and safe transfer to the field.
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AI Security & Privacy
Robustness against adversarial attacks, prompt injection defence, learning without sharing data, and model confidentiality.
ExploreFrom idea to production, developed end to end
A five-stage development process, each stage concluding with a defined deliverable.
01
Feasibility
Defining the problem, auditing the data and setting the success criteria.
Deliverable
Feasibility report
02
Data
Collection, labelling and quality control producing training-ready data.
Deliverable
Labelled dataset
03
Model
A model validated through training, evaluation and benchmarking.
Deliverable
Model + metrics
04
Integration
Connecting to your systems; edge or cloud deployment and interface.
Deliverable
Integration / API
05
Monitoring
Observability, regression tracking and continuous retraining.
Deliverable
Monitoring + retraining
Sectors we serve
The sectors in which our AI solutions are applied.
Manufacturing & Industry
Visual quality inspection, process optimisation and automation on production lines.
- Manufacturing
- Automotive
- Metals
- Plastics
- Glass
- Chemicals
- Construction
Health & Life Sciences
Diagnostic support, molecular discovery and quality control in production.
- Healthcare
- Pharmaceuticals
- Biotechnology
- Food
- Agriculture
Commerce & Services
Customer behaviour, demand forecasting, risk analysis and personalisation.
- E-commerce
- Retail
- Finance
- Insurance
- Education
- Telecommunications
Infrastructure & Defence
Route and grid optimisation, autonomous systems and security applications.
- Logistics & Transport
- Energy & Environment
- Aviation
- Defence
News and research notes
Our R&D project has been awarded support under the TÜBİTAK 1707 call
The project we submitted under the SME Support Call for Order-Based R&D Projects has been awarded funding. We continue to develop technologies that address real needs in the field.
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A further project under TÜBİTAK 1507 has been awarded support
A further project we submitted under the SME R&D Start-Up Support Programme has been awarded funding, bringing the number of projects we are carrying out under the programme to two.
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Why Turkish evaluation sets are a problem in their own right
Why we build our Turkish evaluation sets from scratch, the fundamental problems with machine-translated sets, and how domain terminology distorts measurement.
ReadA technical assessment for your AI project
Your project's feasibility, risks and timeline are assessed in a technical consultation.