Three paths to ship faster, modernize, and scale with AI.
Choose the path that matches where you are today. Each solution is built around measurable outcomes, clear milestones, and the steps you need to move without guesswork.
What you get
- Outcome-led plans with clear milestones.
- Sub-solutions mapped to product, platform, and AI work.
- Clear handoffs, delivery metrics, and post-launch support.
Choose the path for your stage
Each solution is built around a core outcome and broken into clear steps you can start immediately.
Founders’ Launchpad
Go from idea to MVP in 4–6 weeks with end-to-end workshops, rapid prototyping, and production-ready infra.
Problem & Idea Validation
Validate demand, target personas, and willingness to pay before you build.
MVP Roadmap & Scoping
Define scope, milestones, and a delivery plan for the first release.
Clickable Prototypes & UX
Ship interactive prototypes and UX flows to de-risk product decisions.
Infrastructure for Launch & Analytics
Set up tracking, data, and launch-ready infrastructure.
Feedback Loop & Fast Iteration
Instrument feedback loops and rapid iteration cycles post-launch.
Product Velocity Engine
Unblock feature delivery, automate testing and analytics, and turbo-charge your roadmap execution.
Codebase & Tech Debt Audit
Assess architecture, risks, and modernization priorities.
Performance & QA Automation
Automate testing, improve reliability, and harden performance.
A/B Testing & Experimentation Infra
Build experimentation infrastructure that keeps velocity high.
Team Augmentation
Extend delivery capacity with embedded product engineering teams.
Engineering Delivery Dashboards
Create delivery dashboards for visibility and accountability.
Enterprise Evolution Stack
Modernise legacy systems, adopt GenAI, and build scalable multi-cloud platforms with confidence.
AI & GenAI Integration Strategy
Define an enterprise AI adoption plan with governance that keeps it safe and compliant.
RAG Architecture & LLMOps Governance
Design RAG pipelines with LLMOps controls and guardrails.
Multi-Cloud Infra & Data Mesh Enablement
Modernize infrastructure for multi-cloud delivery and data mesh patterns.
Semantic Layering & Feature Stores
Establish semantic layers and feature stores for reuse.
SLA & Observability
Implement SLAs, monitoring, and incident response foundations.