We architect AI agent frameworks that build, test, and ship production-grade mobile apps — compressing delivery cycles from months to weeks.
We spent 10+ years building award-winning eCommerce experiences. Now we channel that same obsession with quality into AI-powered software delivery.
We've re-engineered our DNA around AI agents that write, test, and deploy production code — delivering mobile apps at a pace and quality that traditional teams can't match.
Four pillars of intelligent delivery — from code generation to quality assurance, RAG systems, and workflow orchestration.
An AI SDLC framework that orchestrates LLM agents to automate analyst, solutions architect, and PM roles — delivering iOS (Swift) and Android (Kotlin) apps to production.
Comprehensive DeepEval and Pytest suites that evaluate every AI-generated output — custom datasets and quality metrics ensure high-fidelity, production-ready code.
Engineered agentic skills and FastMCP servers integrated with n8n — managing versioned prompts, complex context windows, and open-source contributions.
Custom Retrieval-Augmented Generation systems that connect your LLMs to proprietary data — delivering accurate, context-aware AI applications grounded in your domain knowledge.
See how our AI-first approach transforms real business challenges into shipped products.
A fintech startup needed a native iOS trading app with real-time data, secure auth, and compliance-ready architecture. Our AI SDLC agents handled requirements analysis, Swift implementation with TDD, and automated the full CI/CD to App Store — shipping in 4 weeks instead of the estimated 4 months.
A mid-size retailer wanted a branded loyalty & rewards app on Android but lacked mobile developers. LLM agents automated the full development lifecycle — from Kotlin codebase to Play Store deployment — with human oversight only at key decision points.
A SaaS company using AI-generated microservices needed assurance that every output met production standards. We built custom DeepEval suites with domain-specific datasets, achieving 98% coverage and catching critical regressions before deployment.
An enterprise needed to validate over 200 AI-generated microservices against strict healthcare compliance rules. Our Pytest-based evaluation framework with custom quality metrics ensured every service met HIPAA and regulatory standards before going live.
A logistics firm spent days manually analyzing RFPs and drafting proposals. We engineered agentic workflows using FastMCP + n8n that parse incoming RFPs, extract requirements, match capabilities, and generate custom proposals — reducing turnaround by 80%.
A media company needed to orchestrate content from brief intake through creation, review, and distribution across 5 channels. Agentic skills with versioned prompts handled the entire pipeline — from ideation to scheduled publishing — with human approval gates.
A legal services firm needed AI that could answer questions about their massive contract corpus with precise citations. We built a RAG pipeline with custom embedding models, chunk optimization, and hybrid search — enabling lawyers to find relevant clauses across 50K+ contracts in seconds.
A university wanted an AI assistant that could accurately answer student queries using their policies, course catalogs, and admin procedures. Our RAG system ingested 10K+ pages, with source-cited responses that reduced admin workload by 60%.
We didn't just adopt AI — we re-architected everything around it, bringing a decade of shipping discipline to the frontier.
Deep roots in eCommerce, web development, and global deployments. We know what it takes to deliver at scale.
Our AI SDLC isn't a wrapper — it's a ground-up framework that orchestrates agents across every phase of delivery.
Every AI-generated artifact is evaluated with rigorous testing, custom metrics, and production-grade regression suites.
We actively contribute to the AI developer experience — open-sourcing tools, skills, and patterns for the community.
Whether you need a production app, quality assurance for AI outputs, or workflow automation — let's talk.