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.
Trusted by teams across 25+ countries
14 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 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.
Software that scales with your business
Web, mobile, and full-stack engineering with AI built into the workflow.
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.
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.
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.
Product design that ships
Discovery, design systems, prototypes — built for engineering handoff.
Built and shipped, end to end
Engagement models — pick what fits
Three ways to bring Unico Connect into your stack. Switch between models as your needs evolve.
Dedicated Team
A full team — engineers, designers, and a tech lead — works exclusively on your project, integrated with your tools and workflows.
Project-Based
Fixed scope, timeline, and budget. We deliver the project against a written spec and hand off the codebase with documentation.
Staff Augmentation
Plug individual engineers into your existing team. Pre-vetted, production-experienced developers ready within 1–2 weeks.
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.
Engineering insights
View all blogs
AI DevelopmentMay 23, 2026
Multi-Model Production AI: Why One LLM Is Not Enough
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AI DevelopmentApril 27, 2026
MCP in Production: Building AI Agents with Model Context Protocol
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AI DevelopmentApril 27, 2026









