AIspresso Labs
AIspresso Labs
AIspresso Labs
Modernize how your systems scale, release, and operate.
Modernize how your systems scale, release, and operate.
Modernize how your systems scale, release, and operate.
AIspresso Labs modernizes legacy infrastructure on AWS to reduce cost, increase reliability, and accelerate delivery — without destabilizing your business.
Migration is how we start. Modernization is why clients hire us.
The Problem We Solve
Most companies don’t have a cloud problem. They have legacy operating models running on new infrastructure.
Most companies don’t have a cloud problem. They have legacy operating models running on new infrastructure.
Most companies don’t have a cloud problem. They have legacy operating models running on new infrastructure.
The "Lift & Shift" Trap
The "Lift & Shift" Trap
The "Lift & Shift" Trap
High AWS bills with no performance gains.
Slow, risky releases.
Fragile systems that page humans at 2 AM.
"Lifted and shifted" technical debt.
Measurable Outcomes
Measurable Outcomes
Lower Run Cost
Replace heavy, self-managed components
Faster Release Cycles
Automation and modern deployment patterns
Higher Reliability
Resilient, observable architectures
Clear Ownership
Your team runs the platform after handoff.
Delivery Process
Delivery Process
A full-stack architecture designed for performance, security, and scale.
Modernization Assessment (1–2 weeks)
Inventory, risk mapping, bottleneck analysis. Output: A prioritized roadmap, not a generic diagram.
Foundation Build
AWS landing zone, governance, and operating model defined before workloads move.
Migration in Controlled Waves
Rehost (for speed), Replatform (for ROI), Refactor (to remove constraints).
Modernization Sprints
Tuning, optimization, and knowledge transfer.
Signal discipline, not staff augmentation.
Signal discipline, not staff augmentation.
AI Opportunity & Architecture Sprint
High-value use case ID and roadmap
Data & Ontology Foundation
Cleaning data and mapping the business ontology
Production AI Solution Build
End-to-end "Lighthouse" development.
AI Operations (Managed)
Ongoing MLOps, retraining, and scalin
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
AIspresso Labs
AIspresso Labs
AIspresso Labs
Modernize how your systems scale, release, and operate.
Modernize how your systems scale, release, and operate.
Modernize how your systems scale, release, and operate.
AIspresso Labs modernizes legacy infrastructure on AWS to reduce cost, increase reliability, and accelerate delivery — without destabilizing your business.
Migration is how we start. Modernization is why clients hire us.
The Problem We Solve
Most companies don’t have a cloud problem. They have legacy operating models running on new infrastructure.
Most companies don’t have a cloud problem. They have legacy operating models running on new infrastructure.
Most companies don’t have a cloud problem. They have legacy operating models running on new infrastructure.
The "Lift & Shift" Trap
The "Lift & Shift" Trap
The "Lift & Shift" Trap
High AWS bills with no performance gains.
Slow, risky releases.
Fragile systems that page humans at 2 AM.
"Lifted and shifted" technical debt.
Measurable Outcomes
Measurable Outcomes
Lower Run Cost
Replace heavy, self-managed components
Faster Release Cycles
Automation and modern deployment patterns
Higher Reliability
Resilient, observable architectures
Clear Ownership
Your team runs the platform after handoff.
Delivery Process
Delivery Process
A full-stack architecture designed for performance, security, and scale.
Modernization Assessment (1–2 weeks)
Inventory, risk mapping, bottleneck analysis. Output: A prioritized roadmap, not a generic diagram.
Foundation Build
AWS landing zone, governance, and operating model defined before workloads move.
Migration in Controlled Waves
Rehost (for speed), Replatform (for ROI), Refactor (to remove constraints).
Modernization Sprints
Tuning, optimization, and knowledge transfer.
Signal discipline, not staff augmentation.
Signal discipline, not staff augmentation.
AI Opportunity & Architecture Sprint
High-value use case ID and roadmap
Data & Ontology Foundation
Cleaning data and mapping the business ontology
Production AI Solution Build
End-to-end "Lighthouse" development.
AI Operations (Managed)
Ongoing MLOps, retraining, and scalin
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
AIspresso Labs
AIspresso Labs
AIspresso Labs
Modernize how your systems scale, release, and operate.
Modernize how your systems scale, release, and operate.
Modernize how your systems scale, release, and operate.
AIspresso Labs modernizes legacy infrastructure on AWS to reduce cost, increase reliability, and accelerate delivery — without destabilizing your business.
Migration is how we start. Modernization is why clients hire us.
The Problem We Solve
Most companies don’t have a cloud problem. They have legacy operating models running on new infrastructure.
Most companies don’t have a cloud problem. They have legacy operating models running on new infrastructure.
Most companies don’t have a cloud problem. They have legacy operating models running on new infrastructure.
The "Lift & Shift" Trap
The "Lift & Shift" Trap
The "Lift & Shift" Trap
High AWS bills with no performance gains.
Slow, risky releases.
Fragile systems that page humans at 2 AM.
"Lifted and shifted" technical debt.
Measurable Outcomes
Measurable Outcomes
Lower Run Cost
Replace heavy, self-managed components
Faster Release Cycles
Automation and modern deployment patterns
Higher Reliability
Resilient, observable architectures
Clear Ownership
Your team runs the platform after handoff.
Delivery Process
Delivery Process
A full-stack architecture designed for performance, security, and scale.
Modernization Assessment (1–2 weeks)
Inventory, risk mapping, bottleneck analysis. Output: A prioritized roadmap, not a generic diagram.
Foundation Build
AWS landing zone, governance, and operating model defined before workloads move.
Migration in Controlled Waves
Rehost (for speed), Replatform (for ROI), Refactor (to remove constraints).
Modernization Sprints
Tuning, optimization, and knowledge transfer.
Signal discipline, not staff augmentation.
Signal discipline, not staff augmentation.
AI Opportunity & Architecture Sprint
High-value use case ID and roadmap
Data & Ontology Foundation
Cleaning data and mapping the business ontology
Production AI Solution Build
End-to-end "Lighthouse" development.
AI Operations (Managed)
Ongoing MLOps, retraining, and scalin