Bangalore · AI Studio

we don't just talk AI.we deliver it.

We help companies identify the AI opportunities that will actually transform their business. Then we build it, deploy it, and train your team to use it. From automations to full products, our in-house web and app team makes every solution real.

01Automation
02Agents
03Voice
04Documents
05Search & GEO

The Orelyn stack · five capabilities, one team

Trusted by ambitious teams worldwide

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The honest version

You bought the AI tools. Read the case studies. Months later, nothing scaled.

The tools sit unused. The pilots never made it past one team. And nobody can explain what ROI actually looks like. You're not behind. You're just stuck in the same place everyone else gets stuck.

That's why Orelyn exists.

How we work

Three things, done well.

Identify, build, adopt. The same three steps for an automation, an app, or a full AI rollout. Only the scale changes.

01

Identify

We start by understanding how your team actually works. Where time is lost, what slows things down, and why work piles up. From there, we find the 5% of opportunities worth building.

02

Build

Once we know what matters, we move quickly. Our team plans and develops solutions that fit seamlessly into your existing systems, built the right way, so they work from day one.

03

Adopt

Then we make it real. We work side by side with your teams, training, fine-tuning, and helping them integrate the new systems into their everyday work.

The unfair advantage

AI that ships because we ship the rest.

Most AI agencies hand you a Loom video and a Stripe link. We hand you a product. Our in-house web and app teams turn every AI engagement into a real interface your team can actually use. Not a demo that needs a developer to look at it.

01
Marketing sites
Next.js, Astro, headless CMS. Fast, conversion-tuned.
02
SaaS dashboards
Internal tools and product UIs that don't feel like internal tools.
03
Native apps
iOS, Android, React Native. Shipped end-to-end.
04
Headless commerce
Shopify, Sanity, custom storefronts and product surfaces.
48+
Projects shipped
11+
Industries served
30d
First system live

What our clients say

Don't just take our word for it.

In just nine weeks, Orelyn uncovered critical inefficiencies and clear opportunities for AI automation. They delivered the clarity, direction, and practical roadmap we needed to drive real operational efficiency.
Marita
Asmuss
They quickly understood our complex construction workflows and identified where AI could improve efficiency. Their practical solutions addressed real bottlenecks, and we're already seeing measurable improvements.
Josh
Ashcroft Homes
Other studios pitched us a slide deck. Orelyn pitched us a working prototype on day three. That's the difference.
Priya
Founder, B2B SaaS
48+
successful engagements
11+
industries served
2,700+
people empowered
13.4M
youtube views
90K
online community

Questions

You've got questions. We've got answers.

Most AI agencies are either strategy decks or low-code shops. We're neither. We identify the right work, build it ourselves, and make sure your team actually adopts it. We also house web and app teams in-house, so AI doesn't stay a prototype.

If you have repeatable workflows, a team that's stretched thin, and software that you already use day-to-day, you're ready. The audit is designed to tell you exactly which 3 workflows to start with.

Adoption. We don't disappear at handover. We work side-by-side with your team for the rollout, tune what isn't working, and stay engaged on a monthly basis if you want us to.

Less than you'd think. For a typical engagement: ~2 hours of leadership input upfront, then short check-ins. We do the work. Your team's job is to make decisions and tell us when something feels off.

First system live in 30 days. First measurable ROI in 60-90. We're cautious about claiming faster than that. Anything quicker is usually a demo, not a system.

Yes. In fact that's most of our work. We build for the data and team you have today, not a hypothetical version of you. Cleanup happens as part of the build, not before it.

Because most AI projects fail at adoption, not technology. We treat adoption as the actual deliverable. Not training docs and good luck. The system isn't done until people are using it.

The future is being built

AI is here. Most will react. The few with a plan will lead.

We build for the few. Let's see if you're one of them.