Our Work

Corporate & Innovation Projects

Discover the next-generation software platforms, custom AI integrations, and automation systems designed, built, and deployed by our Builders under senior guidance.

Project Portfolios

Enterprise-grade solutions delivered to businesses and partners.

AI + Enterprise Software

CRM for SME

AI-powered Customer Relationship Management system designed to optimize outreach, manage pipelines, and scale sales operations for small and medium enterprises.

IoT + Energy

Solar Energy Management

A specialized solar monitoring platform enhancement for our partner CarbonLead for commercial solar farms and industrial rooftop installations. It combines hardware telemetry with analytics dashboards to monitor solar generation, inverter health, and carbon offset milestones.

Robotics + IoT

Manufacturing Track & Trace

A specialized production-floor tracking system designed to monitor component pass-through and material lineage across every assembly station. It logs serial numbers, batch IDs, and quality metrics at every stage to build an absolute digital pedigree for every completed unit.

AI + Data Engineering

Document Intelligence

An AI-driven document discovery and extraction platform designed to turn unstructured documents into actionable, structured data. Powered by advanced OCR and localized Large Language Models, it parses multi-page PDF scans, contracts, and technical sheets with high precision.

AI + Software Engineering

Language Translation

Manage text documents, custom dictionaries, and translation workflows with embedded AI context-awareness for localized accuracy.

Data Engineering

Data Quality

An automated data validation and governance pipeline built to guarantee data health across enterprise infrastructure. It continuously profiles, tests, and cleanses data streams before they reach downstream business applications, reporting layers, or machine learning models.

Robotics + IoT

Smart Factory

A next-generation industrial automation platform engineered to bridge physical plant machinery with digital control systems. By combining edge computing, robotics orchestration, and real-time telemetry streaming, it transforms traditional manufacturing floors into intelligent, self-optimizing production hubs.

AI + Laboratory Systems

AMDIS LIMS (Laboratory Information Management System)

A highly secure, audit-ready Laboratory Information Management System for clinical, chemical, and industrial laboratory tracking, developed with our partner Formula GmbH (Germany).

Our Work

System Breakdown & Business Value

AI + Enterprise Software

CRM for SME

AI-powered Customer Relationship Management system designed to optimize outreach, manage pipelines, and scale sales operations for small and medium enterprises.

Business Value

Reduces manual outbound effort by up to 70%, increases sales pipeline visibility, and improves lead conversion rates through automated AI agent follow-ups.

Key Features

Leads & Sales Pipeline: Manage your entire sales funnel from lead capture to deal closure. Visual Kanban board for tracking opportunities through qualification, proposal, negotiation, and won/lost stages.
Customer & Order Management: Complete CRM with customer profiles, contact management, and order tracking. Create quotes, manage proposals, and convert deals into orders seamlessly.
Products & Inventory: Advanced product catalog with hierarchical storage tracking through warehouses, shelves, and bins. Real-time inventory management with automated barcode/QR label generation.
Flexible Workflows: Define custom business processes and track real-time progress with automated status updates and a dedicated execution wizard for streamlined operations.
Knowledge Base: Centralized Wiki for all documentation and procedures. Features Full-Text Search and short-code indexing for rapid information retrieval.
Integrated AI Assistant: Powered by local LLM technology. Get instant context-aware support for terminology, guidelines, and system navigation directly from the header.

Diagram: crm

CRM for SME Conceptual Architectural Diagram

IoT + Energy

Solar Energy Management

Business Value

Optimizes solar ROI by maximizing energy yield, reducing maintenance response times through automated diagnostic alerts, and providing audit-ready ESG reporting to quantify corporate sustainability impact.

Key Features

Real-Time Generation & Yield Tracking: Streams live power production, string voltage, and daily energy yield directly from rooftop and utility-scale solar arrays. Operators can analyze performance against historical baseline curves and weather data.
Inverter Efficiency Analytics: Tracks individual inverter health and conversion efficiency in real time to detect thermal degradation or string failures. Immediate threshold alerts help technical teams deploy targeted maintenance before output degrades.
Carbon Credit & Savings Quantification: Automatically calculates offset carbon emissions (CO₂) and financial savings using live grid energy tariffs. Built-in reporting tools streamline ESG compliance and carbon credit verification workflows (planned).

Diagram: solar-energy

Solar Energy Management Conceptual Architectural Diagram

Robotics + IoT

Manufacturing Track & Trace

Business Value

Guarantees strict regulatory compliance, eliminates assembly errors on the line, and drastically lowers warranty costs by enabling pinpoint root-cause isolation in the event of a product recall.

Key Features

Station-Level Pass-Through Capture: Captures raw and semi-finished material IDs (via barcode, QR, or RFID scanning) as components move through each work station. Ensures mandatory assembly steps are executed in the exact required order.
Full Material Pedigree Logging: Maps every sub-component and raw batch ID to the final finished product's serial number. Generates a complete genealogy tree that links vendor inputs directly to shipped units.
Workflow Compliance Verification: Interlocks assembly equipment automatically if a component fails validation or attempts to skip a mandatory testing step. This stops quality defects directly at the source before further value is added.

Diagram: track-trace

Manufacturing Track & Trace Conceptual Architectural Diagram

AI + Data Engineering

Document Intelligence

Business Value

Reduces manual document processing time from hours to seconds, slashes back-office operational costs, and unlocks critical business data trapped inside legacy paperwork.

Key Features

Automated Fact & Metric Extraction: Scans complex layouts, tables, and handwritten annotations to extract specific key-value pairs, clauses, and numerical metrics. The underlying AI engine handles diverse formatting styles without requiring template re-tuning.
Contextual Text Correction & Normalization: Corrects OCR artifacts and standardizes messy text streams automatically using domain-specific language models. Extracted facts are validated against target schema rules prior to database commit.
Intelligent Knowledge Retrieval: Indexes document contents into a searchable knowledge repository with short-code tagging. Enterprise teams can instantly retrieve precise figures, vendor terms, or historical records using plain-language search.

Diagram: doc-intel

Document Intelligence Conceptual Architectural Diagram

AI + Software Engineering

Language Translation

Manage text documents, custom dictionaries, and translation workflows with embedded AI context-awareness for localized accuracy.

Business Value

Ensures brand consistency and technical translation accuracy across multi-regional documents, reducing translation turnaround times and editing overhead.

Key Features

User & Role Management: Assign role-based access control across your entire translation team with customizable permission levels. Admins can easily manage user roles, limit data access, and maintain secure project oversight.
Master Data Management: Centralize your localization assets by configuring target languages, AI engines, quality thresholds, and text transformation rules. This ensures consistent language settings and automated processing rules across all active projects.
Translation Memory: Build and maintain custom dictionaries, brand glossaries, standardized abbreviations, and industry synonyms. By leveraging past translations, your team maintains brand voice consistency and significantly reduces repetitive translation costs.
AI Translation Engines: Connect directly to top-tier AI models including Ollama, OpenAI, Anthropic, Google AI, or your own custom engines. This multi-provider setup allows you to select the best model for specific language pairs or security requirements.
Quality Control: Automate translation validation with customizable fail, warning, and pass quality rules. The platform instantly flags accuracy issues and formatting errors before content moves to the next stage.
Complete Translation Workflow: Manage the full end-to-end translation lifecycle from initial data ingestion to cleaning, AI translation, post-editing, final management sign-off, and export. Every step remains traceable to streamline operations and ensure high quality.
Project & Workflow Management: Monitor ongoing translation projects, assign tasks to specific linguists, and track progress through clear visual pipelines. Real-time updates help your team meet tight delivery deadlines and prevent bottlenecks.

Diagram: translation

Language Translation Conceptual Architectural Diagram

Data Engineering

Data Quality

Business Value

Eliminates financial risk and decision-making errors caused by bad data, protecting downstream analytics, guaranteeing executive report accuracy, and maintaining compliance integrity.

Key Features

Automated Profiling & Validation: Executes customizable rule sets — including range, null, uniqueness, and cross-field validation — on both batch loads and streaming data feeds. Immediate fail/warning alerts prevent corrupt records from entering operational databases.
Intelligent Cleansing & Transformation: Automatically standardizes, deduplicates, and enriches raw records using configurable data transformers. Legacy database errors are corrected at the ingestion boundary with full audit logging.
Enterprise Connector Ecosystem: Seamlessly integrates with modern data lakes, relational databases, and enterprise middleware via native connectors. This allows teams to maintain data integrity across complex, multi-cloud architectures.

Diagram: data-quality

Data Quality Conceptual Architectural Diagram

Robotics + IoT

Smart Factory

Business Value

Maximizes Overall Equipment Effectiveness (OEE) and minimizes unplanned downtime through real-time telemetry monitoring, predictive maintenance alerts, and synchronized robotic workflows across the entire facility.

Key Features

Edge Telemetry Integration: Connects directly to PLC systems, sensors, and localized controllers to stream real-time operational metrics across the production line. High-frequency sampling ensures instantaneous detection of line bottlenecks and micro-stoppages.
Robotics Orchestration: Coordinates multi-axis robotic arms and automated guided vehicles (AGVs) using optimized kinematics routines. Operational scripts and pathing updates can be deployed over-the-air with zero disruption to active assembly cycles.
Unified Factory Floor Dashboard: Aggregates machine state, throughput velocity, and energy consumption into a centralized monitoring console. Plant managers gain full visibility into active work-in-progress (WIP) and equipment performance.

Diagram: smart-factory

Smart Factory Conceptual Architectural Diagram

AI + Laboratory Systems

AMDIS LIMS (Laboratory Information Management System)

A highly secure, audit-ready Laboratory Information Management System for clinical, chemical, and industrial laboratory tracking, developed with our partner Formula GmbH (Germany).

Business Value

Cuts sample turnaround time through a managed 7-step analytics lifecycle, reduces compliance risk with automated instrument and certification alerts, and gives lab managers a full digital audit trail.

Key Features

Analytics Lifecycle: Managed 7-step project execution: from sample registration and storage to automated scheduling, verification, and manager approval. Includes specialized tracking for Market Release and Stability Testing.
Flexible SOP Workflows: Define custom laboratory protocols like Quick Analysis, Long-term Retention, or Store-and-Retrieve. Track real-time progress with automated status bars and a dedicated execution wizard.
QMS Knowledge Base: A centralized Wiki for all Standard Operating Procedures (SOPs) and technical documentation. Features Full-Text Search and short-code indexing for rapid information retrieval.
Integrated AI Assistant: Powered by local LLM technology (gpt-oss). Get instant context-aware support for laboratory terminology, safety guidelines, and system navigation directly from the header.
Inventory & Storage: Advanced hierarchical tracking through Warehouses, Shelves, and Bins. Real-time digital twins for all samples including automated QR/Barcode label generation and audit trails.
Compliance & Quality: Proactive monitoring of instrument maintenance schedules and staff competency certifications. Automated alerts for expiring documents and uncalibrated equipment.

AMDIS LIMS (Laboratory Information Management System) Login Screenshot

Diagram: lims

AMDIS LIMS (Laboratory Information Management System) Conceptual Architectural Diagram

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