Industry Expertise
Internet & Software
Modernization at the pace of your product. For SaaS leaders facing the 2026–27 architectural decision: become a tool agents call, or stay a destination users open. We deliver either path.
50+
Tech companies served
Weeks
To production, not quarters
Fixed
Date and fee
1B+
Events processed daily
Industry Challenges
What we solve.
01
Platform Architectural Decision
The 2026–27 choice: become a tool agents call, or stay a destination users open. Both paths are valid, but the architecture for each is different.
02
Scale Without Cost Growth
Building systems that handle 10x growth without 10x cost or complexity increases.
03
Data Infrastructure at Platform Scale
Moving from data chaos to data products that power ML features, analytics, and customer 360.
04
AI/ML Productization
Going from ML experiments to production models with proper MLOps, evaluation, and monitoring.
05
Technical Debt That Blocks AI
The legacy system nobody wants to touch that is now blocking the AI roadmap.
06
Speed to Production
Shipping AI-powered features at the pace of product, not at the pace of infrastructure projects.
Capabilities
How we help.
01
Data Platform at Platform Scale
Build modern data stacks with streaming, batch, and real-time analytics capabilities that scale with your product.
02
AI/ML Infrastructure
Feature stores, model serving, MLOps pipelines, and GenAI integration that ship features, not science projects.
03
Application Modernization
Retire the legacy systems blocking your AI roadmap : on a fixed date, with production cutover.
04
Agentic Platform Architecture
Build the infrastructure that lets your product become a tool agents call, not just a destination users open.
05
Performance Optimization
Query tuning, caching strategies, and architecture improvements for 10x throughput.
06
Cloud-Native Architecture
Design and implement scalable, resilient systems using AWS-native services and patterns.
In Production
Common use cases.
01
Flipboard: Modernization That Improved Engagement
Modernized Flipboard's data foundation to AWS-native infrastructure. The migration didn't just hold the platform together; it improved what the platform delivered to users.
02
Poshmark: The Migration the Team Called Impossible
Delivered the database migration Poshmark's team thought couldn't be done. Production cutover on schedule. Zero data loss.
03
Real-Time Analytics Engine
Built streaming data pipeline processing 1M+ events/second for product analytics dashboard.
04
AI Feature Infrastructure
Implemented feature store and ML serving layer enabling 50+ models in production with <100ms latency.
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