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WML

One engineering partner. Four core capabilities.

AI, product engineering, cloud and cybersecurity, built to work together rather than as separate practices.

AI

AI that makes it into production.

Make it intelligent.

From prototype to production, integrated with the systems where work actually happens.

  • Generative AI

    • LLMs
    • RAG
    • Enterprise search
    • Knowledge systems
  • Intelligent agents

    • Workflow automation
    • Decision support
    • AI assistants
    • Tool-integrated agents
  • Data and ML

    • Predictive analytics
    • NLP
    • Computer vision
    • Forecasting
  • AI engineering

    • Integration
    • Model lifecycle
    • Evaluation
    • Monitoring and operations
    • Secure deployment

How it flows

  1. Data

  2. Intelligence

  3. Action

Related work

Putting AI where decisions happen.

Enterprise

See the work: enterprise AI

Product Engineering

Platforms built to live. And built to scale.

Make it useful.

Product thinking, engineering discipline and production ownership.

  • Digital products

    • Web
    • Mobile
    • Customer experiences
  • SaaS platforms

    • Multi-tenant architecture
    • API-first systems
    • Configurability
    • Shared platform services
  • Commerce

    • B2B
    • B2C
    • B2G
    • Marketplaces
  • Enterprise and government

    • Business workflows
    • Integrations
    • Modernisation
    • Mission-critical digital platforms

Platform layers

  1. Experience
  2. Services and APIs
  3. Data and integration
  4. Cloud and operations

Related work

From heritage brand to intelligent digital enterprise.

Lepakshi · TARANGA

Read the case study: Lepakshi TARANGA

Cloud

Cloud engineered for production.

Make it scalable.

Cloud is the operational foundation of the platform, not only hosting.

  • Architect and modernise

    • Cloud architecture
    • Migration and modernisation
    • Containers
  • Automate

    • DevOps and DevSecOps
    • CI/CD
    • Infrastructure automation
  • Observe and operate

    • Observability
    • Monitoring and alerting
    • Managed operations
    • Reliability

Cloud lifecycle

  1. Architect

  2. Modernise

  3. Automate

  4. Observe

  5. Operate

Cloud ecosystems: AWS · Microsoft Azure · Google Cloud

Related work

From heritage brand to intelligent digital enterprise.

Lepakshi · TARANGA

Read the case study: Lepakshi TARANGA

Cybersecurity

Security built in. Not bolted on.

Make it trusted.

Security across the platform lifecycle, from architecture to operations.

  • Identity

    • IAM
    • MFA
    • Access controls
  • Application

    • Secure engineering
    • Vulnerability assessment
    • Penetration testing
    • VAPT
    • Secure SDLC
  • Cloud

    • Architecture
    • Hardening
    • Infrastructure security
  • Governance

    • Risk
    • Compliance
    • GRC
    • Security awareness
  • Operations

    • SOC
    • SIEM
    • Incident response
    • Endpoint monitoring

One delivery lifecycle

  1. Strategy

  2. Architecture

  3. Engineering

  4. Integration

  5. Operations

We don’t stop at the idea. We make it live.