Ship AI products to production without rebuilding your engineering team

The AI-native engineering partner for SaaS and enterprise teams that have outgrown demos. 350+ products shipped. Same engineers from discovery through ongoing partnership.

15 services. One partner.

Pick what you need — or talk to us and we'll architect the right combination of AI, engineering, cloud, and design for your goal.

AI & MACHINE LEARNING

AI development that ships to production

From foundation models to agentic workflows — production systems, not demos.

AI Development

Custom AI from scratch — computer vision, NLP, classification, recommendation, and fine-tuning. Built on PyTorch and TensorFlow with foundation LLMs on top.

Agentic AI

Autonomous agents that handle multi-step workflows with tool use, MCP servers, and human-in-the-loop checkpoints.

Generative AI

Production LLM apps, RAG pipelines, fine-tuning, and multimodal AI — on Claude, Gemini, Llama, and the Hugging Face ecosystem.

Conversational AI

Chatbots, voice agents, and assistants for web, mobile, WhatsApp, and voice — multilingual, transaction-capable.

AI Integration

Plug AI into existing products — semantic search, document AI, AI-powered analytics — without rebuilding your stack.

ENGINEERING & APPS

Software that scales with your business

Web, mobile, and full-stack engineering with AI built into the workflow.

Custom Software Development

Custom platforms, internal systems, integrations, and AI powered products — built for your exact workflow with published pricing.

Web App Development

React, Next.js, Node.js, Python, Java — from MVP to enterprise-scale SaaS. AI-augmented engineering throughout.

No-Code & Low-Code Development

Webflow, Bubble, Xano, WeWeb, FlutterFlow — MVPs and internal tools shipped in weeks, with a clean path to custom code as you scale.

Mobile App Development

Native iOS (Swift) and Android (Kotlin), cross-platform Flutter and React Native. App Store + Play Store launch support.

Web & Mobile Applications

End-to-end builds with shared codebases where it fits, native performance where it matters.

Blockchain Solutions

Smart contracts, decentralized apps, tokenization platforms, wallet integrations, and secure Web3 workflows for production products.

AI-Powered QA & Testing

Playwright + LLM-generated specs, visual regression, flaky-test detection — shorter regression cycles without sacrificing coverage.

Claude Code AI for Teams

Roll out Claude Code across your engineering team — secure setup, MCP servers, agent skills, productivity coaching.

CLOUD & DATA

Infrastructure and insights, optimised together

From cloud architecture to data products that drive decisions.

Cloud & DevOps

AWS, GCP, Azure. Kubernetes, Terraform, CI/CD, observability, and FinOps cost optimisation for production workloads.

Data Analytics & Data Science

Data pipelines, warehouses, BI dashboards, predictive ML, and custom analytics applications.

Google Workspace

Official Google Workspace Partner — setup, migration, AppSheet automation, security hardening, and team training.

DESIGN

Product design that ships

Discovery, design systems, prototypes — built for engineering handoff.

UI/UX Design

Product discovery, design systems, rapid prototyping, AI interface design, and data visualisation.

WAYS TO WORK TOGETHER

Engagement models — pick what fits

Three ways to bring Twincord into your stack. Switch between models as your needs evolve.

Most common01

Dedicated Team

A full team — engineers, designers, and a tech lead — works exclusively on your project, integrated with your tools and workflows.

Best forOngoing product development, multi-quarter roadmaps

Discuss team setup

Project-Based

Fixed scope, timeline, and budget. We deliver the project against a written spec and hand off the codebase with documentation.

Best forDefined deliverables — MVPs, integrations, migrations

Scope a project

Staff Augmentation

Plug individual engineers into your existing team. Pre-vetted, production-experienced developers ready within 1–2 weeks.

Best forScaling capacity, filling a specific role gap

Discuss capacity scaling

HOW IT WORKS

How a project flows

Discovery to ongoing partnership — same engineers end to end.

Discovery & Architecture

Goals, constraints, data, success metrics. We push back on scope that won't ship. Output: tech spec + cost + timeline.

Build & Iterate

AI-augmented engineering. Weekly demos. Real users from week 3. Course-correct early instead of polishing a wrong solution.

Ship & Instrument

Monitoring, evals, runbooks, on-call setup. Live before launch — not after. Performance budgets enforced at deploy.

Maintain & Evolve

Retainers for performance, security, feature work. Same engineers stay on — no knowledge loss.