Explore Technologies We Work In

Digital Transformation Stack

Building Secure, Scalable Systems from Front-End to Core Databases
Our digital transformation stack combines modern front-end, back-end, and database technologies to deliver secure, high-performance platforms for governments and enterprises. We design API-driven architectures that are cloud-ready, modular, and easy to evolve as new services and channels are added.

Laravel

Robust PHP framework for building secure, API-first back-end services, admin consoles, and workflow engines with rapid development and strong maintainability.

Node.js

Event-driven runtime used for high-throughput integration services, real-time data processing, and microservices that connect multiple systems and channels.

React.js

Modern front-end library for responsive web applications, self-service portals, and analytical dashboards with rich, interactive user experiences.

JavaScript

Common language across front-end and back-end, enabling faster development, shared components, and consistent behaviour across the entire stack.

Oracle

Enterprise-grade relational database for mission-critical workloads, providing advanced security, performance tuning, and high-availability features.

Flutter

Cross-platform framework for high-performance mobile applications on Android and iOS from a single codebase, ideal for citizen and field-officer apps.

React Native

Native-like mobile application framework used to deliver smooth, device-optimized experiences while reusing much of the React.js component model.

SAP

Enterprise suite integrating finance, HR, procurement, and supply chain, enabling standardized processes, real-time reporting, and governed workflows secure.

Python

Versatile language for automation, analytics, and AI, powering APIs, ETL pipelines, and decision-support tools with rapid development cycles.

Artificial Intelligence & Machine Learning

Harnessing learning algorithms for real-world decision-making. We build ML models that detect patterns, predict outcomes, and automate decisions across enterprise data.

Core capabilities:
Build classification and scoring models for operational decision automation
Apply clustering and segmentation to discover hidden patterns in large datasets
Use reinforcement learning to optimize dynamic workflows and policy decisions
Engineer features and evaluate models using robust metrics and validation cycles
Deploy with MLOps pipelines for monitoring, drift checks, and version control
Deliver using TensorFlow, PyTorch, Scikit-learn, ONNX, and MLflow toolchains

Natural Language Processing (NLP) & Conversational AI

Understanding language at scale. We enable document intelligence, citizen services, and enterprise workflows using secure NLP (Natural Language Processing ) and LLM-based automation.

Core capabilities:
Route documents and tickets using text classification and automated triage logic
Extract fields and entities from unstructured records, contracts, and case files
Generate summaries for briefs, minutes, reports, and decision-ready outputs
Detect sentiment and intent from feedback channels to improve service outcomes
Deploy conversational agents for support, portals, and internal service delivery
Support English, Urdu, Arabic, with domain tuning and privacy guardrails

Predictive Analytics & Business Intelligence

Move from reporting to foresight. We deliver forecasting, risk modeling, and embedded dashboards that improve planning and reduce operational surprises.

Core capabilities:
Forecast demand, workloads, staffing, and utilization for better capacity planning
Predict operational and compliance risks using scoring models and trend signals
Detect anomalies and exceptions to reduce leakage, fraud, and process failures
Trigger early-warning alerts for outages, delays, and SLA/service degradation
Provide KPI dashboards with drill-down analytics for executives and operators
Embed analytics into workflows so decisions happen inside core applications

Computer Vision & Video AI

Visual recognition for surveillance, safety, and automation. Our platforms interpret video feeds, mobile uploads, and archives with high accuracy and speed.

Core capabilities:
Verify identities using facial recognition and confidence-based match scoring
Detect license plates for traffic, border, parking, and enforcement workflows
Identify objects and events in live streams for real-time situational awareness
Detect anomalies like unattended items, hazards, and risky behavior in scenes
Extract data from forms and IDs using OCR for scanned and handwritten content
Deploy GPU pipelines or edge processing for low-latency field operations

AI-Integrated Cybersecurity

Trust, auditability, and threat mitigation at the core. We align systems to zero-trust principles and AI-driven detection for stronger protection.

Core capabilities:
Detect unusual user, endpoint, and network behavior using AI anomaly models
Enforce RBAC, MFA, and session controls across applications and environments
Maintain audit logs for AI actions and security events with full traceability Support continuous monitoring, alerting, triage workflows, and escalation paths
Apply privacy-preserving methods for sensitive data and regulated use cases
Align controls with ISO 27001 practices and NIST-informed security guidance

AI DevOps & Cloud

Engineering intelligence at scale across any environment. Our AI platforms run on public, private, or hybrid clouds with orchestration and security.

Core capabilities:
Orchestrate AI microservices with Kubernetes scaling, resilience, and isolation
Automate training and deployment using CI/CD with rollback and observability
Build data lakes and feature stores for batch and real-time model pipelines
Provision environments using infrastructure as code with secure baselines
Enforce governance via policy automation, secrets management, and access control
Support AWS, Azure, GCP, and on-prem via OpenStack, Proxmox, or KVM

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