We keep client identities private where required and separate verified outcomes from delivery evidence and capability proof. Explore the engineering work behind AI, data, cloud, cybersecurity, ERP, semiconductor and enterprise delivery.
Client names and logos are intentionally omitted where confidentiality applies. Each entry is explicitly labelled as a Verified Outcome, Delivery Evidence or Capability Proof so visitors can distinguish quantified engagement results from documented engineering depth.
The library spans the core TECKVENTUS capability stack. Quantified metrics appear only on entries supported by engagement evidence; other capabilities remain visible as delivery or capability proof until case-level validation is complete.
LLM · MLOps · AI applications
Streaming · platforms · analytics
AWS · Azure · GCP · platform engineering
Zero Trust · SecOps · cloud security
OCI · Fusion · ERP · integration
S/4HANA · BTP · enterprise transformation
RTL · verification · physical design
Product platforms · full stack · QA
Modernization · APIs · integration
Fraud · risk · digital banking · compliance
Digital health · cloud · platform engineering
Engineering pods · governance · scale
Production AI engineering for a retail platform, moving from experimentation to governed, repeatable LLM operations.
The engagement source describes an environment without production MLOps, with model-drift risk and slow release cycles.
Production MLOps pipelines • Model registry
Verified business outcomes captured during engagement.
Production AI engineering for a retail platform, moving from experimentation to governed, repeatable LLM operations.
The engagement source describes an environment without production MLOps, with model-drift risk and slow release cycles.
High-volume transaction intelligence engineered for real-time fraud detection and low-latency decisioning.
A financial-services environment required real-time processing at very high event volumes with low-latency fraud intelligence.
Identity-centric security engineering focused on reducing lateral-movement risk across a large banking endpoint estate.
The source case describes a large banking endpoint estate requiring a Zero-Trust rollout and stronger controls against lateral movement.
Engineering delivery focused on reducing the time required to bring a telehealth capability into production.
The source case identifies time-to-production as a key delivery constraint for a healthcare telehealth platform.
Security engineering deployed rapidly to harden a cloud environment and improve operational response.
The source case focuses on hardening a cloud environment and reducing mean time to respond to security events.
From operating-model design to a functioning engineering centre with meaningful roadmap ownership.
The source case describes a US SaaS enterprise establishing a Hyderabad engineering GCC and building a persistent delivery capability.
Oracle engineering across cloud, enterprise applications, data and integration.
Public case-study evidence for a specific Oracle engagement has not yet been validated for publication.
SAP engineering spanning S/4HANA, BTP, integration, analytics and enterprise controls.
Public case-study evidence for a specific SAP transformation has not yet been validated for publication.
Specialized engineering across RTL, verification, FPGA, physical design, DFT and firmware.
Public evidence for a specific semiconductor client engagement has not yet been validated for publication.
Automotive software, embedded engineering and AI-enabled mobility systems.
Public evidence for a specific automotive engagement has not yet been validated for publication.
Product architecture, full-stack engineering, cloud, QA and DevOps delivered as an integrated engineering pod.
Public evidence for a specific product-engineering engagement has not yet been validated for publication.
Cloud-native platform engineering for telecom operations, automation and observability.
Public evidence for a specific telecom engagement has not yet been validated for publication.
Security operations engineering focused on materially reducing detection time across a healthcare environment.
Detection and response required a continuously monitored security operating model.
Security engineering and control implementation for a large SaaS platform.
The client required an accelerated path to ISO 27001 certification.
SAP enterprise engineering focused on finance-process modernisation and faster close cycles.
Finance operations required transformation across SAP enterprise processes.
Teckventus combines engineering workforce, AI-enabled execution and reusable technology IP into delivery models designed for enterprise-scale transformation.
Bring us the problem. We'll help architect the people, technology and delivery model required to solve it.
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