25+
Years of Testing & Enterprise Software Expertise
Global Delivery Teams
Across Multiple Regions
ISO/IEC 27001
DWS ISO certification sets the security standard across group development
Powered by Enterprise-Ready Platforms
TestArchitect + AI Genie
AI Testing Services
AI-Powered Test Automation
From manual test description to ready-to-run automation - grounded in your real test assets.
• Convert manual test cases to automated tests in plain English
• Hybrid LLM + custom SLM
• Self-healing locators
Data Training Services
We make AI fluent in your domain - not just AI in general.
• Analyze existing test assets, action libraries
• Build domain-specific datasets
• LoRA fine-tuning specialized for your stack
Data Validation & AI Governance
AI you can trust, audit, and defend to your compliance team.
• Validate AI-generated tests with SMEs in the loop
• Quality scoring, error analysis, governance reports
• Bias, hallucination checks
AI Agent Testing Services
The AI testing your software needs testing too. We have the methodology.
• Test AI agents for reliability, consistency
• Hallucination rate measurement
• Prompt injection and adversarial input testing
Custom Model Development
Bespoke AI tuned for your industry, your data, your compliance.
• Custom SLMs trained on your data
• LoRA adapter management
• Continuous training pipelines integrated
On-Prem Deployment & Integration
Your AI, Your environment. Your data never leaves.
• Deploy on-prem, private cloud, or air-gapped
• CPU-friendly - no GPU farm required
• Integration with your CI/CD, IdP
Why Our AI Approach Works
Built for Production, Not Demonstrations
Hybrid LLM + SLM Architecture
Combine the reasoning power of large language models with the precision and efficiency of domain-trained small language models.
Retrieval-Augmented Generation (RAG)
Ground AI outputs using your actual assets, documentation, and testing knowledge.
Human-in-the-Loop Governance
Maintain transparency, oversight, and accountability throughout the AI lifecycle.
Agentic AI Architecture
Specialized agents collaborate to perform analysis, generation, validation, and optimization tasks.
Engagement Model
From discovery to scale - a low-risk, three-phase path to production AI.
At DWS, we follow a structured process to ensure that your AI solutions are built efficiently, are scalable, and deliver long-term value.
Discovery
1-2 weeksWorkshop with your QA and engineering leaders. Audit existing assets, action libraries, framework readiness. Deliverable: one-page assessment + scoped pilot proposal.
Pilot
30-60 daysShadow pilot on one product area. Deploy AI Genie, run data training, generate and validate alongside your suite. Real metrics from your environment.
Scale
OngoingExpand to more teams. CI/CD integration. Continuous training. AI Agent Testing activated. Enablement workshops for ownership.
Ready to Accelerate Quality Engineering with AI?
Discover how production-grade AI can accelerate automation, improve coverage, and help your teams deliver quality at scale.
