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SaaSAI/MLCloud-NativeDevOpsMicroservicesSince 1999

Engineering for the Engineering-Led.

Technology companies are the most demanding clients on earth. They don't just want a "vendor" - they want an engineering partner who speaks their language, follows their patterns, and contributes to their core product velocity.

in-school has been building for the tech industry since 1999 - delivering SaaS platforms, AI infrastructure, and high-scale distributed systems for startups and Silicon Valley giants.

Partner with in-schoolView Case Studies

TRUSTED BY

eznatal — in-school enterprise technology partner
Jijoty — in-school enterprise technology partner
CircleRam — in-school enterprise technology partner
Charles Schwab — in-school enterprise technology partner
Stanford University — in-school enterprise technology partner
Applied Materials — in-school enterprise technology partner
Carnegie Mellon University — in-school enterprise technology partner
Cisco — in-school enterprise technology partner
UCSF Medical Center — in-school enterprise technology partner
AppDynamics — in-school enterprise technology partner
eznatal — in-school enterprise technology partner
Jijoty — in-school enterprise technology partner
CircleRam — in-school enterprise technology partner
Charles Schwab — in-school enterprise technology partner
Stanford University — in-school enterprise technology partner
Applied Materials — in-school enterprise technology partner
Carnegie Mellon University — in-school enterprise technology partner
Cisco — in-school enterprise technology partner
UCSF Medical Center — in-school enterprise technology partner
AppDynamics — in-school enterprise technology partner

Services for Tech

What We Build for
Technology Organizations

From SaaS product engineering to AI infrastructure - every engagement is built using modern patterns, automated pipelines, and cloud-native scale.

SaaS Product Engineering

Full-lifecycle product development - from MVP to enterprise-grade SaaS platforms with multi-tenancy and robust APIs.

ReactNode.jsGoPythonMulti-tenant

AI & Machine Learning Infrastructure

LLM integration, MLOps pipelines, vector database implementation, and production-scale AI inference engines.

GenAILLMsMLOpsVector DBPyTorch

Cloud-Native & Distributed Systems

Kubernetes orchestration, serverless architecture, and event-driven systems designed for extreme throughput.

K8sDockerAWS/AzureEvent-Driven

Platform Engineering & DevOps

CI/CD automation, Infrastructure as Code (IaC), and site reliability engineering (SRE) for high-velocity teams.

TerraformGitHub ActionsJenkinsSRE

Modern Mobile Experiences

Native iOS and Android engineering, cross-platform Flutter/React Native, and mobile-first product design.

SwiftKotlinFlutterReact Native

Cybersecurity & Compliance

SOC2 readiness, penetration testing, secure SDLC implementation, and enterprise-grade identity management.

SOC2Pen TestAuth0Security

Scale-Ready Architecture & Platform Engineering

We don't just build features; we build platforms. Our engineering approach focuses on observability, scalability, and developer experience - ensuring your product can grow from 100 to 100 million users.

ObservabilityScalabilityDeveloper ExperienceMicroservicesAPI FirstZero Trust

Case Studies

Work That Speaks
for Itself

Real product engineering. Real scale. No technical debt.

Silicon Valley Unicorn

SaaS Platform Scale-Up

Re-engineering a core product backend to support 500% user growth while reducing infrastructure costs by 30% through containerization.

500%User Growth
30%Cost Savings
ZeroDowntime

AI Startup

Production LLM Infrastructure

Design and implementation of a scalable inference pipeline supporting thousands of concurrent LLM requests with sub-second latency.

Sub-SecLatency
ScalableInference
MLOpsIntegrated

Ready to Accelerate Your Product Roadmap?

Let's talk about what you're building - and how in-school can help you ship faster, scale further, and build with the quality your users demand.

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