AI infrastructure built for production

Move from demo to production without rebuilding later
Kubernetes foundations with reliable RAG and orchestration
Code Modernization Visualization

From concept to V1 platform launch

What was the challenge?

The founder needed to build a complex, AI-driven API discovery platform. It wasn't just a UI—it was a deep-tech infrastructure play involving RAG-based orchestration and natural language processing.

View case study
Case study video
Feature

Bootstrap team We started with 2 developers to validate the core RAG concept.

Feature

Scale-up Post-funding, we deployed a 4-person pod (backend + DevOps) to deliver the V1 platform.

Feature

Tech mastery We built the engine that allows PolyAPI to generate SDKs in seconds using generative AI.

The biggest benefit has been time to market. We don't think we'd be this far along without Hotovo's help.

D
Darko Vukovic
CEO & Co-Founder, PolyAPI

Why complex AI platforms require a strategic partner

Focus

Hotovo product builders

Validating product (outcome)

Freelancers/Staff augmentation

Completing tasks (output)

vs

Architecture

Hotovo product builders

Scalable Kubernetes foundation

Freelancers/Staff augmentation

Often brittle, "build for now"

vs

AI capability

Hotovo product builders

Deep RAG and agent orchestration

Freelancers/Staff augmentation

Basic API calls

vs

Scaling

Hotovo product builders

Elastic teams (scale up/down fast)

Freelancers/Staff augmentation

Hard to hire/fire quickly

vs

Ownership

Hotovo product builders

"Let's figure out how to build this"

Freelancers/Staff augmentation

"Tell me what to code"

vs

Who We Build For

Built for founders and visionaries

For early-stage founders

  • Validate your technical thesis without hiring a full-time CTO.
  • Get to V1 fast so you can raise your seed or Series A.

For scale-up CTOs

  • Offload the complex platform infrastructure work so your core team can focus on user features.
  • Inject instant Kubernetes and AI expertise into your roadmap.

Common questions on building AI platforms

We are product builders, not an outsourcing agency. We embed ourselves into your vision, providing the architectural weight of a CTO and the execution speed of a dedicated squad. Unlike typical agencies that focus on billable hours, our "MVP-to-scale" engine is designed to take you from a pre-seed concept to a Series A enterprise platform with a core team that cares about the outcome, not just output.
We engineer for robustness and scalability. Our core architecture relies on Kubernetes, Python (backend), and React (frontend). For intelligent integrations, we implement RAG-based orchestration using vector databases and LLMs (like GPT-5). This allows us to build agentic workflows where AI agents utilize natural language processing to train, discover, and consume APIs autonomously.
We operate on a dynamic scaling model that adjusts to your funding rounds. We typically start with Phase 1 (pre-seed), utilizing a lean senior pod to bootstrap and validate technical feasibility. As you secure funding, we shift to Phase 2 (the platform phase), instantly deploying a full-stack team (backend, DevOps, architect) to build the core infrastructure. For clients like PolyAPI, we expanded from a bootstrap duo to a comprehensive team ensuring 24/7 reliability for their V1 launch.
Yes. In fact, we prefer it. We validate the technical feasibility of your AI agents and integration logic before you burn cash on scaling. We avoid the 'time-to-market' paradox by building an MVP that isn't throwaway code, but a scalable foundation ready for Kubernetes-native deployment from day one.
100%. We are your partner. You own every line of code, every container, and every architectural diagram. We build the "brain" that connects LLMs to your business data, but that brain belongs entirely to you.

Let’s start a partnership!

How would you like to connect?

Book a Discovery Call

“I have a budget and I’m ready to start. Let's talk now.”

Book a discovery call

Check Project Fit

I have a project idea. Help me estimate the scope and tech stack.

Take a short survey

Do you have a general question or partnership proposal?