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Custom Software Development

Software built to last.
Not to demo.

We build full-stack AI-powered products - web, mobile, API, and platform - that your team can own and operate after we're gone. No lock-in. No mystery code. No handoff surprises.

Weeks
From kickoff to a production-ready release
Full
IP transferred to you on completion
30 days
Post-handoff support window included

What we build

Web applications
React and Next.js frontends with AI features built in - not bolted on. From internal tools to customer-facing products.
Mobile apps (iOS + Android)
React Native for cross-platform, Swift/Kotlin for native performance. AI-powered features that actually work on device.
APIs & backend services
FastAPI, Node.js, or Go backends with proper auth, caching, rate limiting, and documentation from day one.
Platform products
Multi-tenant SaaS platforms, data platforms, and marketplaces - architected to scale from MVP to enterprise.

Our engineering approach

01
AI-native by default
We don't add AI to software as an afterthought. It's considered at the architecture level from sprint one.
02
Full-stack ownership
One team owns frontend, backend, infra, and AI - no handoffs between silos, no one to blame but us.
03
Test-driven
Unit, integration, and end-to-end tests written alongside code, not retrospectively before release.
04
Documentation as first-class
Architecture decision records, API docs, and runbooks maintained throughout - not written at the end.
05
Performance-first
Core Web Vitals, API latency budgets, and load testing baked into every delivery phase.
06
Handoff-ready
Every project is built as if we're handing it to your team tomorrow - because eventually, we are.

Tech stack

Frontend
Next.js
React
React Native
Vue
Angular
Svelte
TypeScript
Tailwind CSS
Backend
FastAPI
Node.js
Go
Django
Laravel
Ruby on Rails
Spring Boot
.NET / C#
NestJS
Database
PostgreSQL
MongoDB
Redis
MySQL
Elasticsearch
DynamoDB
PI
Pinecone
Qdrant
Cloud & DevOps
AWS
GCP
Azure
Vercel
Cloudflare
Docker
Kubernetes
Terraform
AI
OpenAI
Anthropic Claude
Google Gemini
Llama
LangChain
Hugging Face
PyTorch
CU
Custom fine-tunes

The handoff problem

What a bad handoff looks like
Undocumented architecture decisions
No test suite - or tests that don't run
No runbooks for common operations
Hard-coded credentials and environment config
Missing data models and API documentation
How we do it
Architecture decision records for every significant choice
Full test suite with unit, integration, and e2e tests
Runbooks for deploy, rollback, and common incidents
Environment config documented and secrets in vault
API docs and data model reference in the repo
post-handoff support window included

Engagement models

Sprint
MVP / Feature
Fixed scope, fixed timeline. Ideal for an MVP, a new feature, or a proof of concept that needs to be real.
Dedicated Team
Ongoing product
An embedded engineering team working on your product week to week - under your roadmap, at our quality bar.
Augmentation
Team extension
Senior engineers embedded with your existing team, filling specific gaps in AI, mobile, or backend expertise.
Result
"Built and shipped a healthcare AI platform from 0 to production in a matter of weeks"

How we work

From kickoff to handoff

Step 01

Discovery

Architecture audit, requirements mapping, stack decision, and success metric definition.

Step 02

Design

System design docs, API contracts, UI wireframes, and database schema reviewed with your team.

Step 03

Build

Sprints with weekly demos. CI/CD live from day one. Tests written alongside every feature.

Step 04

Harden

Load testing, security review, performance profiling, and staging environment validation.

Step 05

Handoff

Production deploy, runbook delivery, 30-day support window, and knowledge transfer sessions.

Full-stack capability

Every layer, owned by one team

Frontend
Next.js 14
RE
React 18
React Native
Vue
Angular
Svelte
TypeScript
Framer Motion
Radix UI
Backend
FastAPI
Node.js / Express
Go
Django
Laravel
Ruby on Rails
Spring Boot
.NET / C#
GraphQL
GR
gRPC
Database
PostgreSQL
MongoDB
Redis
MySQL
Elasticsearch
DynamoDB
Qdrant
Prisma ORM
Drizzle
AI / ML
OpenAI API
Anthropic Claude
Google Gemini
Llama
Mistral
LangChain
LL
LlamaIndex
Hugging Face
PyTorch
TensorFlow
PI
Pinecone
CU
Custom fine-tunes
Infrastructure
AWS
GCP
Azure
Vercel
Cloudflare
DigitalOcean
Terraform
Docker
Kubernetes
GitHub Actions

Why StartxLabs

How we compare

StartxLabs
Large agency
Freelance team
AI-native architecture
✓
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Full-stack single team
✓
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✓
Tests written alongside code
✓
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Varies
Architecture decision records
✓
–
–
Post-handoff support
✓
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IP fully transferred on completion
✓
✓
✓
Fixed-scope sprint model available
✓
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✓

What this looks like

A healthtech startup needs a HIPAA-compliant multi-tenant platform - patient data ingestion, AI-driven triage scoring, and a clinician-facing dashboard - on a startup timeline. We own the entire stack: React + Next.js frontend, FastAPI backend, PostgreSQL + Redis, and an LLM-based triage model fine-tuned on their annotated cases.

Healthcare AI platform

Weeks
Kickoff to production
High
Uptime in the first six months
HIPAA
Compliance built in from day one
Faster
Triage than manual review

Ready to build your
next digital product?

Whether you have a detailed specification or just an early idea - we'll help you scope it, challenge the assumptions, and deliver it on time. No pitch decks. Straight to the point.

Get in TouchSee Our Work

What happens next

1

Send us a message

Tell us what you're building or what's broken.

2

Discovery call (30 min)

We ask hard questions. You get honest answers.

3

Scoped proposal

Clear deliverables, timeline, and team in 48 hours.

Contact Us

Tell us about
your project

Whether you have a detailed brief or just an early idea, we will help you scope it, challenge it, and ship it.

  • Agentic AI development and multi-agent systems
  • Generative AI consulting and LLM integration
  • RAG development and custom model deployment
  • Data engineering, MLOps and custom software
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