DDAI Tech is a next-generation technology consulting company focused on Performance Engineering, DevOps, Site Reliability, and Chaos Engineering. We partner with enterprises and startups to build, scale, and secure digital ecosystems that perform seamlessly — from development to production.
Born from deep engineering roots and entrepreneurial drive, DDAI Tech combines data-driven decisioning, disciplined execution, and AI-enabled automation to deliver measurable business impact. We believe quality, reliability, and empathy are not optional — they’re part of our DNA.
To make every digital system resilient, reliable, and intelligent — where performance and innovation coexist.
We envision a world where technology doesn’t just work; it performs, self-heals, and evolves with intelligence.
At DDAI Tech, our mission is to enable this evolution through engineering excellence, AI integration, and sustainable automation.
We believe in process excellence, data-driven analysis, and continuous improvement.
Every engagement is powered by modern tech stacks, automation, and cloud-native design.
We listen, understand, and co-create solutions that truly solve real-world challenges.
We embed intelligence into everything we build — from monitoring to automation.
We engineer systems that stay stable under pressure and adapt under change.
End-to-end performance consulting for SAP, Oracle, API, and UI layers.
Automation, security, and CI/CD excellence across hybrid environments.
Measurable reliability, self-healing systems, and resilient operations.
Build confidence through controlled chaos — ensure resilience before failure strikes.
DDAI represents our core philosophy — Disciplined People | Digital Tech | AI Consulting. It reflects our focus on blending disciplined engineering with next-generation digital and AI-driven innovation.
We combine engineering discipline, AI intelligence, and human empathy in every engagement.
Our difference lies in:
We don’t just test systems — we engineer performance and reliability.
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We work seamlessly with your current ecosystem — whether it’s AWS, Azure, GCP, or enterprise toolchains like Jenkins, GitHub, Dynatrace, AppDynamics, JMeter, LoadRunner, and Neoload.
Our team ensures quick onboarding, integration, and automation setup with minimal disruption.
We provide end-to-end consulting and implementation across seven core pillars:
Each service is designed to ensure reliability, scalability, and intelligent automation across enterprise ecosystems.
We use leading enterprise and open-source tools including:
JMeter, LoadRunner, Neoload, Gatling, K6, BlazeMeter, Taurus, and Locust.
We also integrate with APMs like Dynatrace, AppDynamics, and Datadog for detailed analysis.
Our KPIs typically include:
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We have specialized teams for SAP S/4HANA, ECC, Fiori, BW, Oracle EBS, Fusion Cloud, and PeopleSoft, with tool expertise in LoadRunner, JMeter, and SAP-certified solutions.
We validate Dialog response times, RFC throughput, database performance, and integration flow reliability
SRE focuses on maintaining system reliability while enabling rapid software delivery.
We implement SLIs, SLOs, and SLAs, automate incident response, and measure error budgets — ensuring predictable uptime and performance.
Chaos Engineering involves simulating real-world system failures in a controlled environment.
It helps teams validate resilience, improve recovery processes, and identify weaknesses before they impact production.
We use tools like LitmusChaos, Gremlin, Chaos Mesh, and AWS Fault Injection Simulator.
At DDAI Tech, we believe that great results come from structured collaboration, technical precision, and measurable outcomes.
Our engagement model blends consulting discipline, agile delivery, and AI-driven automation to ensure that every client achieves speed, stability, and sustainability in their digital transformation journey.
We follow a proven 4-phase delivery approach — simple, transparent, and outcome-focused.
Understanding your business, technology, and performance goals.
We begin every engagement with deep discovery sessions to understand your system architecture, user journeys, and bottlenecks. We define objectives, SLAs, SLOs, and KPIs upfront to ensure business alignment.
Activities include:
• Requirement gathering and system walkthroughs
• Baseline performance assessment and tool audit
• Gap analysis and scope definition
• Success metrics and test planning
Outcome: A detailed roadmap and success blueprint aligned with measurable goals.
Building reliability and automation into your digital ecosystem.
Our engineers design performance frameworks, automation pipelines, and reliability architectures using best-in-class tools and cloud technologies.
Activities include:
• Framework design for performance, CI/CD, or observability
• Test data strategy and script development
• Infrastructure and environment setup (on-prem or cloud)
• Early-stage automation and tool integration
Outcome: A well-architected, scalable, and test-ready environment optimized for continuous improvement.
From testing to continuous reliability.
We execute, monitor, and tune systems using data-driven insights — ensuring you achieve your desired performance and resilience targets.
Activities include:
• Load, stress, endurance, and chaos testing
• Live monitoring via APM tools (Dynatrace, AppDynamics, Datadog)
• SRE & AIOps integration for proactive anomaly detection
• Performance tuning at application, database, and infrastructure layers
Outcome: Validated SLAs, optimized systems, and actionable recommendations for scaling.
Ensuring long-term reliability and continuous value.
Our partnership doesn’t end with delivery — we help you sustain and evolve with managed services, dashboards, and training.
Activities include:
• Detailed reports and stakeholder reviews
• Automation handover and knowledge transfer
• Continuous monitoring and post-go-live support
• Governance, reporting, and optimization roadmap
Outcome: Sustainable performance culture and self-reliant teams enabled with automation and observability.
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By partnering with DDAITEC, we cut our complex performance scripting cycle by more than 50% using their AI-enabled automation accelerators. The engagement reduced manual effort, improved execution quality, and delivered measurable cost savings across our performance engineering lifecycle.
DDAI Tech enabled us to automate the deployment of APM agents across thousands of microservices and servers, allowing us to capture deep application-server metrics at scale. This automation eliminated manual intervention, streamlined observability rollout, and significantly reduced both implementation time and operational effort across our enterprise platform.
DDAI Tech played a critical role in our SAP S/4HANA transformation program. Their performance engineering intervention increased application throughput by nearly three times and reduced response time for a core business process from over 35 seconds to under 0.5 seconds.
Their deep expertise in SAP landscapes and diagnostic tooling allowed them to pinpoint systemic bottlenecks quickly, minimize manual effort, and compress the delivery timeline from six months to three months while reducing the team size from three resources to two. The overall impact on speed, cost, and quality was exceptional.
DDAI Tech helped us establish a mature Site Reliability Engineering practice by designing service-level objectives, automating reliability dashboards, and embedding observability across our distributed platform. Their approach reduced incident resolution time, improved platform availability, and gave our leadership real-time visibility into system health and operational risk. The engagement significantly elevated our reliability culture and execution maturity.
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