PADISO.ai: AI Agent Orchestration Platform - Launching May 2026
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Platform Design & Engineering

Six months of slides. Nothing in production.

That's how most platform builds end. We do the opposite. Working software shipped every two weeks, on a modern AI-native stack, in your repo with your team. New builds from a Figma file, rescues from a legacy stack you're scared to touch, or scale-ups for a product that suddenly took off.

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The problem

Sound familiar?

Whether you're starting from zero or unblocking a stalled platform, the symptoms tend to look the same.

Our last agency took 9 months to ship something we'd already redesigned in week 3.

We have a beautiful Figma file. We don't have a backend, an iOS build, or a single user in production.

We're stuck on a Rails, PHP or jQuery stack from 2016. Hiring is impossible. Engineers leave inside a year.

Our product works, but it takes 30 seconds to load, runs three frameworks deep, and nobody dares refactor it.

Every release breaks something else. We've stopped shipping on Fridays. Honestly, we've stopped shipping most days.

What a stalled platform actually costs you.

It isn't just the dev bill. It's the runway, the hiring market, the team's morale, and the market window your competitor is walking through.

6 to 12mo

Of runway lost to "design and discovery" before a single user touches the product.

2 to 3x

Higher recruiter cost to hire engineers onto a legacy stack. They take longer and stay shorter.

40%

Of dev time burned on incidents, rebases and "just one more compatibility patch" instead of new value.

1

Market window. Miss it and the AI-native competitor takes the launch story you wanted.

The fix

Ship every two weeks. On a stack you can hire for.

We don't run six-month "discovery". Sprint one ends with something you can use, not a deck. By sprint three you have an environment, a CI pipeline, observability, and a slice of the product live behind feature flags. By sprint six you're showing customers.

We work inside your repo, on your branches, with your team in the room. No black-box agency delivery. No "we'll hand it over at the end." Knowledge transfer happens every sprint, so when we leave, your team owns it.

The stack is modern and AI-native by default: Next.js, Astro, React, React Native, Node, Python, Go on Postgres, ClickHouse, Cloudflare, Vercel, AWS, with Claude Code, Cursor and Copilot in the daily loop. Engineers love working on it. Hiring gets easier, not harder.

Built with AWS GCP Cloudflare Vercel GitHub Railway Cursor Claude Figma

Three ways we engage.

Most platform work falls into one of three jobs. We'll tell you which one you actually need on the first call, even if it's not the one you came in asking for.

Mode 1

Build from zero

You have a Figma file, an idea, a market, maybe a small team. You don't have a product in customers' hands. We take it from blank repo to production users in weeks, with the architecture you'll still be proud of at Series B.

  • + 0-to-1 SaaS and AI-native products
  • + Mobile apps for iOS and Android
  • + API-first backends and marketplaces
  • + Production-ready in 8 to 12 weeks

Mode 2

Rescue legacy

Your stack is from 2016. Your engineers are quitting. Your roadmap is "fix bugs from last year". We modernise the platform without a rewrite-of-doom: strangler-fig migrations, parallel runs, and a shipping team that survives the transition.

  • + Rails, PHP, AngularJS and jQuery rescues
  • + Monolith to modular or service-oriented
  • + Migrate off on-prem or untenable cloud bills
  • + Retrofit AI into a legacy product

Mode 3

Scale what works

The product hit. Now the platform is buckling: 30-second pages, 3am alerts, a database that scares everyone. We re-architect for the next 10x without freezing the roadmap or scaring off the team.

  • + Performance, latency and cost re-architecture
  • + Real-time and event-driven systems
  • + Multi-region, multi-tenant readiness
  • + Observability, on-call and reliability uplift

How we ship.

No mystery, no black-box delivery. The same operating model whether you're a 4-person founding team or a 200-engineer org.

Two-week sprints

Every sprint ends with a working demo your team and your customers can use. Not a status update. Not a Gantt chart. Software.

Inside your repo

We work on your GitHub or GitLab, on real branches, in real PRs. Your team reviews our code. Our team reviews theirs. There's no handover, because there's no separation.

CI/CD from day one

Sprint one: a deploy pipeline, a staging environment, observability and feature flags. Every commit ships safely. No "we'll add tests later".

Architecture decision records

Every meaningful choice is written down with the trade-offs, the alternatives and the reasoning. Three years from now your team will still know why.

AI-native delivery

Claude Code, Cursor and Copilot in the daily loop. Generated tests, AI-driven PR review, codebase agents. Faster output, fewer regressions, happier engineers.

Knowledge transfer every sprint

Pairing, walkthroughs, written runbooks. When we wind down, your team owns the system. We don't sell lock-in.

The stack we default to.

Right tool, not religion. We pick what your team can hire for and what your problem actually needs. Below is what we usually start from.

Frontend

Next.js, Astro, React, Vue, React Native, Tailwind. Modern, fast, hireable.

Backend

Node, Python, Go, Rust where it earns its keep. API-first, typed end to end.

Data

Postgres for truth, ClickHouse for analytics, Redis for cache, vector DBs for AI.

Cloud

AWS, GCP, Azure, Vercel, Cloudflare, Railway. We meet you where your team already runs.

DevOps

Docker, Kubernetes when warranted, Terraform, GitHub Actions. Boring, reliable, observable.

AI

Claude, OpenAI, Gemini, open-weight via LiteLLM. RAG, agents, evals, gateway, all built in.

Who this is for.

Founders with a Figma file

You have a market, a design and maybe a small team. You don't have a product in production. We take you from zero to live users in weeks, on architecture you won't outgrow at Series B.

CTOs whose stack is killing hiring

Your platform is from 2016. Engineers leave inside a year. We modernise without a rewrite-of-doom and leave your team on a stack the market actually wants to work on.

Scale-ups whose product just hit

Sudden growth, sudden pain. Slow pages, fragile databases, on-call burnout. We re-architect for the next 10x without freezing the roadmap or breaking the team.

Stop planning. Start shipping.

Book a 30-minute call. We'll tell you which mode you're actually in and what shipping in two-week sprints would look like for your team.

Book a 30-min build call