Engineering Intelligence Services
Ten practice areas. One delivery discipline.
Every engagement led by a specialist who has spent a career in the domain — following one lifecycle: Discover → Design → Deploy → Operate.
Strategy · COE · Adoption
AI Transformation
End-to-end AI transformation — from strategy and use-case prioritisation to deployment, adoption and measurement, including AI Center of Excellence formation.
Agents · RPA · Doc AI
AI Solutions & Automations
Purpose-built AI applications, automations, bots and agents — assistants, agentic workflows, document intelligence, predictive models and RPA-plus-AI. Built to ship and stay in production.
SOC · Pentest · Compliance
Cybersecurity
Security architecture, secure application development, SOC build-outs, penetration testing and compliance — ISO 27001, SOC 2, PCI DSS, GDPR and KSA PDPL. Security designed in, not bolted on.
AWS · Azure · GCP
Cloud Engineering
Cloud migration and cloud-native architecture across AWS, Azure and GCP. Containers, Kubernetes, serverless, infrastructure as code and multi-cloud governance.
Lakehouse · Streaming
Data Engineering & AI Analytics
Modern data platforms, warehouses and lakes, real-time streaming pipelines and analytics engineering — the foundation your AI initiatives depend on.
S/4HANA · Hybris · ABAP
SAP Implementation
SAP S/4HANA implementations, migrations and integrations across finance, supply chain, HR and manufacturing. SAP Hybris commerce, ABAP development and post-go-live support.
CX · Re-platforming
Digital Transformation & Modernization
Customer experience platforms, process automation, digital product builds, legacy re-platforming and technical debt remediation. Measured by business outcome, not technology deployed.
Automation · Perf · Security
Quality Assurance
Manual, automation, performance and security testing embedded into delivery — not a gate at the end. Test strategy, framework design, CI/CD integration and independent QA teams.
iOS · Android · Flutter
Mobile Development
Native iOS, Android and cross-platform (Flutter, React Native) applications across consumer and enterprise contexts. Full lifecycle from design to store operations.
Edge · Smart City · Industrial
IoT & IIoT
Connected device platforms, industrial IoT for manufacturing and infrastructure, edge computing, sensor data pipelines and device-to-cloud architectures.
Global Engineering Capability
Flexible models, integrated into your teams.
Technology alone doesn't create transformation. Exceptional teams do.
Global Capability Centres (GCC)
Dedicated offshore engineering organizations aligned to your business — your brand, your culture, our operational envelope.
Extended PODs
Cross-functional, AI-enabled engineering teams that deploy in weeks — not months — and scale without disrupting delivery.
Build-Operate-Transfer (BOT)
Launch, stabilize and transition engineering capability with minimal operational risk. You in-source when you're ready.
Engineering Delivery Centres (EDC)
Scalable offshore delivery centres built for long-term engineering excellence, not project-by-project scope.
Strategic Retainers
Dedicated technical leadership and specialist capability, on demand for advisory, architecture and escalation.
Engagement Models
Pick the deal shape that matches your risk.
Eight models, one operating discipline. Every first engagement begins with a 45-minute scoping conversation — we recommend the model, you decide.
Fixed Bid
Fixed price, fixed timeline. Our primary model.
Time & Material
Hourly or monthly against consumed effort.
Retainership
Monthly retainer across multiple work streams.
SaaS Build Partner
Co-development with revenue-share option.
BOT
Build, operate, then transfer ownership.
ODC++
Dedicated Bengaluru team, one client.
GCC Setup
Full captive-equivalent setup.
Consulting
Assessments, architecture, roadmaps. Advisory only.
Build Models
However you need to build, we build it.
Every build model ships with CI/CD, peer review, security scanning, infrastructure as code and production observability.
Greenfield
Building from zero. Fresh architecture, modern stack, no legacy constraints.
SaaS products & AI-native appsModernization
Re-platform and modernise legacy systems onto a modern, scalable foundation.
Legacy transformationExtension
Extend a running platform with new capability, cleanly integrated.
Feature & capacity growthContinuous
Ongoing engineering ownership with continuous delivery and improvement.
Long-term product ownershipExtendable PODs
Pre-formed teams. Deployed fast.
Cross-functional, AI-enabled PODs with a defined composition and a typical time-to-deploy (TAT). Add or remove roles without renegotiating the engagement.
ROI Calculator
ROI Calculator — see your AI-accelerated return in real time.
Set your team size, duration, blended hourly rate and AI acceleration. Compare Traditional vs. Zenspark cost and timeline — with a summary of money and time saved.
How it's calculated
Traditional cost = team × duration × 160 hrs/month × hourly rate. Timeline = duration × 4.33 weeks. AI acceleration reduces effort at ~55% conversion — applied to both cost and timeline on the Zenspark model.
Traditional delivery
Cost
$259,200
Timeline
26 wks
With Zenspark AI
Cost
$209,304
Timeline
21 wks
With Zenspark's AI-native model, you save
SummaryMoney saved
$0
19% lower than traditional
Time saved
5 wks
19% faster to production