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DDAITECH

AI-Accelerated Performance Engineering

Release-ready performance. Delivered in hours, not months.

DDAI combines deep performance engineering expertise with AI-driven automation to compress delivery timelines by 10×–30× — without compromising quality, scale, or compliance.

7+ YEARS · 30+ CLIENTS · 98% CLIENT RETENTION · 24×7 MONITORING · SAP | ORACLE | API | SRE

LoadRunner//JMeter//NeoLoad//k6//Gatling//Dynatrace//AppDynamics//Datadog//Grafana//Prometheus//OpenTelemetry//Terraform//GitHub Actions//Kubernetes//SAP S/4HANA//Oracle//ServiceNow//PagerDuty//

0%

Client retention rate

≤ 2 hrs

API automation turnaround

≤ 4 hrs

SAP script automation

10–0×

Faster delivery cycles

//The DDAI Difference

How we reduce delivery time by 10×–30×

Same rigor. Same toolchain. Radically less manual effort — because AI does the repetitive work while engineers do the judgment calls.

Traditional approach

  • Script design measured in days to weeks
  • NFR analysis done manually, iteratively
  • Tool setup and correlation demand high effort
  • SAP & enterprise apps over-automated, low ROI

DDAI + AI-driven model

  • Script design in hours — sometimes minutes
  • AI-assisted correlation, parameterization, and validation
  • Intelligent scenario prioritization
  • Automation only where it delivers measurable value

Business outcome

  • Faster go-live decisions
  • Reduced test cycles
  • Early bottleneck identification
  • Lower overall testing cost

//In motion

The same run, on screen.

Script, prove, and load — the motion from a live engagement, not a slide.

01 · Script

ddai — script

$ddai script --app fiori-checkout

✓ 42 steps parameterized · 4m 12s

Script automation

done in ≤ 4 hrs

02 · Prove

0.49s ▼ 98.6%

LIVE

p95 · SAP month-end · bottleneck pinned

03 · Load

5,000vusers

SLA PASS
throughput ×3.0errors 0.02%

//Why DDAI Tech

Enterprise-grade discipline. Startup-grade speed.

Disciplined people, digital tech, AI consulting — the pillars behind every engagement.

Engineering depth

  • Proven expertise across SAP, Oracle, API, and enterprise platforms
  • Certified engineers in JMeter, LoadRunner, NeoLoad, and APM tools
  • Integration-ready frameworks for modern DevOps pipelines
  • Measurable insights and continuous performance improvement

Operational intelligence

  • Unified dashboards combining business and technical KPIs
  • AI-powered anomaly detection and root cause analysis
  • Deep-dive analytics with Dynatrace, AppDynamics, and Datadog
  • 24×7 managed monitoring & observability support

//Client Stories

Proven at scale. Measurable impact.

From Tier-1 banks to global ERP providers — here is what AI-accelerated delivery looks like in production.

Explore case studiesRead all reviews →
By partnering with DDAI Tech, 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.
KCKiran CHManager · Global Entertainment Enterprise
DDAI Tech enabled us to automate the deployment of APM agents across thousands of microservices and servers, capturing deep application-server metrics at scale. This eliminated manual intervention, streamlined observability rollout, and significantly reduced implementation time and operational effort across our enterprise platform.
CChirianProgram Lead · Tier-1 U.S. Banking Institution
DDAI Tech played a critical role in our SAP S/4HANA transformation program. Their intervention increased application throughput nearly threefold and reduced response time for a core business process from over 35 seconds to under half a second — compressing delivery from six months to three while reducing team size. The impact on speed, cost, and quality was exceptional.
BHBrent HyderPractice Head · Leading Global ERP Solutions Provider
DDAI Tech helped us establish a mature Site Reliability Engineering practice — designing service-level objectives, automating reliability dashboards, and embedding observability across our distributed platform. Incident resolution time dropped, availability improved, and leadership gained real-time visibility into system health and operational risk.
BDBracken DarrellDirector of Platform Engineering · Enterprise SaaS Platform

//Knowledge Centre

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