AI Integration · Scalable software · Founder-led

We build scalable software for ambitious founders.

From idea to scale, we design and engineer digital products built for real growth - web, mobile, SaaS and AI.

[02] — Trusted by teams

Building digital products for ambitious teams.

20+
Projects shipped
3+
Years building
4
Countries served
92%
Long-term partners

[03] — What we build

Product-grade software
across the stack.

We are a compact team of engineers and designers who ship real products. The list is short on purpose—we go deep, not wide.

[04] — Services

A studio built around five capabilities.

We operate like an in-house product team—embedded, opinionated and outcome-driven. Explore the capabilities to see how we work.

[06] — How we work

From idea to scale.

Five stages, one team. No hand-offs, no lost context. We stay with the product from the first sketch to the first thousand paying customers.

  1. 01

    Discover

    Understand the business, users and opportunity. We start with people and problems, not features.

  2. 02

    Define

    Turn requirements into a clear product direction with priorities the team can commit to.

  3. 03

    Design

    Create the product experience and system—flows, interactions and a design system that scales.

  4. 04

    Build

    Engineer the product using scalable technology, with tests, observability and CI/CD from day one.

  5. 05

    Scale

    Improve, iterate and grow. Instrument the product, run experiments and keep compounding value.

[07] — AI capability

AI that creates
real leverage.

We integrate AI where it improves products, workflows and business outcomes—not simply because it’s trending. Every AI feature we ship has an evaluation loop behind it.

  • AI SaaS products
  • AI agents
  • AI automation
  • LLM integrations
  • Intelligent search & RAG
  • AI-powered workflows
  • Internal AI tools
  • Evaluation & guardrails

AGENT / RAG / EVAL

User query
How is churn trending this quarter?
Retrieval
Indexes: analytics, docs, chat
Reasoning
LLM · tool-calls · guardrails
Answer
Churn -1.8 pts w/w, driven by SMB.
Eval
Factuality 0.94 · Grounded 0.91

[08] — Technology

Built with modern technology.

Technology should serve the product—not define it. We pick tools that keep the team fast and the product maintainable.

Next.js
React
React Native
Node.js
Python
Postgres
Firebase
AWS
GCP
OpenAI
Anthropic
LangChain

[09] — Why Inscale

Four principles
we build by.

01

Product-minded

We think beyond individual screens and features. Every decision serves the outcome.

02

Engineering-first

We build systems that are designed to scale from day one, not retrofitted later.

03

Design-conscious

Every interaction has a purpose. Nothing is decorative for its own sake.

04

Built for growth

The product is instrumented to evolve with the business, not against it.

A few useful answers

Before we
get started.

Clear expectations make better partnerships. Here’s how we approach the work.

All questions
What can Inscale help us build?

We work on web applications, SaaS platforms, mobile products and AI tools. Our services cover product strategy, design, engineering, automation and growth, so a project can move from an early idea to an evolving product.

Can you work on a product we already have?

Yes. We can start with an existing product, review the experience and architecture, and agree on the improvements that matter most. Share the current product and the problem you want to solve when you contact us.

How much does a project cost?

Pricing depends on scope, integrations, product complexity and the work already completed. The budget ranges on our contact form are optional planning information, not a price quote. Scope, fees and payment milestones are agreed in writing before paid work begins.

How long does a project take?

The timeline depends on the product and the size of the first release. We clarify requirements and dependencies before proposing a schedule, then divide delivery into reviewable stages. We do not promise the same timeline for every project.

Do you add AI to every product?

No. We use AI when it helps solve a specific user or business problem. That can include search, document retrieval, automation or assistants. We also consider accuracy, privacy, operating cost and how results will be evaluated.