Industry
Startup-focused solutions for rapid product development and market entry
12 solutions
Structured MVP delivery in 6–10 weeks: clickable prototype, core feature slice, and a live staging environment ready for investor or user validation.
Automated intelligence pipelines that scrape, classify, and summarise competitor moves, pricing shifts, and market signals — updated daily without manual research hours.
Full-stack product engineering for startups combining AI inference, on-chain logic, and IoT data pipelines — from architecture design through production deployment.
Instrumentation, warehouse, and dashboard stack that gives founders a single source of truth for acquisition, activation, retention, and revenue — built in two to three weeks.
AWS or GCP infrastructure built to scale from 100 to 100,000 users without a rewrite — right-sized for startup budgets, with IaC, auto-scaling, and cost monitoring from day one.
AI-assisted design tooling and lifecycle dashboards that compress the feedback loop between user research, design iteration, and engineering handoff.
Hybrid systems that combine on-chain data provenance and tokenised incentives with ML inference — for startups where trust, transparency, and intelligence must coexist.
Technical and product advisory that helps pre-seed and seed startups sharpen their architecture, demonstrate traction, and answer the engineering questions investors ask in due diligence.
Behavioural analytics and personalisation pipelines that identify which users are at risk of churning, which are ready to expand, and what product experience each segment should receive.
LLM-powered automation for the repetitive knowledge-work bottlenecks that slow startups down — customer support drafts, contract summaries, onboarding documentation, and internal Q&A.
Full-stack software development for seed and Series A startups — a dedicated engineering team that ships production code, not just prototypes, under your product direction.
Structured AI strategy and prototyping for pre-seed and seed startups — from identifying the highest-value AI use case to building a working proof of concept in four to six weeks.
