Engineering Excellence

Modern Architecture, Enterprise Standards

We combine cutting-edge AI research with enterprise-grade engineering practices to deliver robust, scalable solutions that transform industries and drive innovation.

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Sector Expertise

Focused on High-Impact Industries

Our deep industry knowledge and technical expertise enable us to deliver transformative solutions across government, financial services, and enterprise manufacturing sectors.

Government & Public Services
- Cross-agency data integration
- Citizen service optimization
- Predictive resource allocation
- Digital transformation initiatives
Financial Services
- Risk analytics and fraud detection
- Regulatory compliance automation
- Customer intelligence platforms
- Operational efficiency tools
Enterprise & Manufacturing
- Supply chain optimization
- Predictive maintenance
- Quality control automation
- Demand forecasting

Tech Stack

Modern Architecture, Enterprise Standards

Built on cutting-edge technologies with enterprise-grade security and scalability, our solutions leverage the latest advancements in AI, cloud infrastructure, and data engineering.

AI & Machine Learning
- PyTorch/TensorFlow
- State-of-the-art LLM integration
- Computer vision pipelines
- Time series forecasting
Infrastructure & Deployment
- Cloud-native architecture
- Kubernetes orchestration
- Microservices design
- CI/CD automation
Data Engineering
- Real-time streaming pipelines
- Distributed computing frameworks
- Modern data warehouse solutions
- API-first integration

Security & Compliance

Enterprise-Grade from Day One

Security and compliance are built into every layer of our architecture, ensuring your data and systems remain protected while meeting the strictest regulatory requirements.

End-to-End Encryption
Enterprise-grade encryption at rest and in transit with regular security audits.
Compliance Architecture
PDPA compliant with built-in privacy controls and audit trails for regulatory compliance.
Secure Deployment
Flexible deployment across private cloud, hybrid, and on-premise environments with robust security.

Research & Open Source

We advance AI research through open-source models and published research, making state-of-the-art AI accessible to developers worldwide.

Published Research
- Parameter-Efficient Checkpoint Merging via Metrics-Weighted Averaging - Novel techniques for combining model checkpoints
- Active research in distributed training optimization
- Ongoing work in efficient model architecture design
Open Source Models (via Tensorplex Labs)
- DOJO-INTERFACE-CODER-7B - Specialized 7B parameter model for frontend UI generation
- Sumo-T9-7B - High-performance language model outperforming Meta's Llama-2-7b and Falcon 7B
- Continuous development of task-specific models for enterprise applications
Current Research Focus
- Multi-modal models for document and image understanding
- Southeast Asian language processing and localization
- Efficient inference techniques for edge deployment
- Industry-specific fine-tuning methodologies
- Automated data extraction from unstructured sources
Infrastructure Contributions
- Open-source training pipelines and tools
- Model optimization frameworks
- Production deployment templates for enterprise AI