We architect products that don't need to be rebuilt.
Yogreet Global designs and builds AI-native applications on microservices, structured functions and right-sized infrastructure from sprint one — so the system serving your first 100 users can serve your next 100,000, at a cost you planned for in advance.
Infrastructure costs more than development now.
In the AI era, the bill doesn't stop at developer hours. Every model call, every database read, every container idling at 3am adds up — and most teams only discover their real cost curve after they've already shipped.
Compute and AI token spend can quietly outgrow payroll within a year of launch, usually right when growth is finally working. We design backwards from that curve before a line of code ships — choosing the model routing, caching layers and service boundaries that keep your cost per user flat as your user count climbs.
See how we approach this →What that 24% runway actually buys you
The typical-build cost curve spikes when it needs a rewrite at scale — this chart only covers Year 1, before that bill even shows up.
Overprovisioned infra and uncapped token usage usually surface as a bill shock. This runway gets spent on your terms, not in a panic.
Extra months of payroll, room to be wrong about product-market fit once, or budget to hire — without needing a raise to cover a bill you didn't plan for.
How the savings actually happen.
Most platforms send every request straight to the most expensive model available. We put a routing layer in front of it instead — so the system only pays for what each request actually needs, and gets cheaper per user the bigger it grows.
Six disciplines, one architecture.
From microservices architecture and AI cost engineering to performance and cloud infrastructure, the same senior team designs your services, writes the code and owns the cost model — no hand-offs between design, engineering and infrastructure.
Microservices architecture
Decoupled services with clear boundaries, so scaling one part of your product never means rebuilding the rest. Microservices consulting for startups →
AI token & model cost engineering
Model routing, prompt caching and fallback tiers that cut AI spend without cutting response quality. Learn how we reduce LLM costs →
Right-sized infrastructure
Cloud setups sized to your real load curve — not over-provisioned for traffic you don't have yet. Cloud cost optimization for startups →
Structured function design
Modular, testable backend functions and APIs a new engineer can understand in a day, not a quarter. Backend & API development →
Performance engineering
Caching, indexing and load-testing built in from day one, not bolted on after your first outage. Performance engineering for startups →
Scale roadmapping
A phased architecture plan that takes you from 100 users to 100,000 without a single re-platform. See how scale roadmapping works →
Five steps. No surprise rewrite.
The order matters — every later decision depends on getting the architecture and cost model right first.
Discover & map the cost curve
Understand your product, expected growth, and exactly where cost will accumulate as you scale.
Architect the system
Define service boundaries, data flow and infra topology before a single line of code is written.
Build the core
Ship structured, tested services and AI pipelines sprint by sprint, against the agreed architecture.
Optimize cost & performance
Load-test against real numbers, tune token usage, and right-size infra before you pay for guesses.
Launch & scale
Go live, then scale the same foundation from your first 100 users to your next 100,000.
Built on this exact approach.
A sample of products designed and engineered under the Yogreet Global architecture model.
Aiyug
An AI-powered paper trading and strategy-building platform for retail traders across Indian stocks and crypto.
Qoot (قُوت)
An AI-powered nutrition tracking app built for Arabic-speaking markets, modeled on a proven predecessor.
Calcounti AI
A consumer AI nutrition app with demonstrated traction in the Israeli market, built on the same lean architecture principles.
04 — Your project, next.
This is where your case study goes. Tell us what you're building and we'll map the architecture before you write a line of code.
Start the briefA stack chosen for cost and scale, not novelty.
A small senior team that owns the architecture end to end.
Yogreet Global is an engineering studio built around one belief: the infrastructure decisions you make on day one decide whether your product can survive its own success. We work in small, senior teams who design the system, write the code and own the cost model — from your first prototype to your hundred-thousandth user.
Fresh from the IT world, every morning.
A daily, sourced digest of the technology, AI and acquisition news that matters — read through an engineer's lens.
Engineering notes, every morning.
Specific, niche posts on AI cost, microservices, performance and scaling — one new build insight published daily.
Choosing the Right Model-Routing Threshold for Frontier Models
Learn how to effectively decide which requests escalate to frontier models in AI systems, optimizing performance and cost.
Semantic Caching: Cost Reduction and Accuracy Risks in LLMs
Explore semantic caching for LLM apps to cut costs by 70%, while understanding potential accuracy pitfalls.