Full product engineering โ from architecture and design through to delivery and iteration. We embed as your product team, shipping in 2-week sprints with full accountability to your business outcomes.
Teams that ship monthly instead of weekly lack CI/CD, automated testing, and feature-flag infrastructure. We set up the pipeline once and maintain a 2-week sprint cadence permanently.
Fast-growth startups accumulate debt in their first 18 months and then slow to a crawl. We run architecture reviews, identify the debt that actually blocks delivery, and retire it systematically.
Apps that worked at 1K users start failing at 50K. Database queries that took 10ms now take 4 seconds. We identify bottlenecks with profiling tools, not guesswork, and fix them before they become incidents.
When no one owns the full product โ design says it's a dev problem, dev says it's a product decision โ nothing ships. A dedicated product engineering team owns the outcome, not just the task.
Security vulnerabilities discovered after launch (or after a breach) are far more expensive than building secure from the start. We conduct quarterly security reviews and ship with threat modelling built in.
Teams flying blind โ no error tracking, no performance baselines, no user behaviour data โ can't prioritise the right fixes. We instrument everything from day one.
iOS, Android, Flutter, React Native โ end-to-end feature ownership from design to App Store delivery.
React/Next.js frontends with Node.js or Django backends โ SaaS billing, multi-tenancy, and role-based access built in.
Event tracking, data warehouse setup (BigQuery/Redshift), dashboards, and A/B test instrumentation.
Datadog, Grafana, or AWS CloudWatch โ logging, distributed tracing, SLO alerting, and on-call runbooks.
OWASP top 10 remediations, dependency auditing, secrets management, and quarterly pentest coordination.
Database query analysis, CDN configuration, caching strategy, and load testing to pre-empt scaling problems.
CI/CD pipelines, infrastructure-as-code (Terraform), container orchestration (ECS/Kubernetes), and deployment automation.
LLM-powered features (OpenAI/Anthropic APIs), RAG pipelines, semantic search, and recommendation systems.
A B2B procurement SaaS had a working product and 200 paying users but was shipping one feature per month, had a 4.5-hour MTTR, and couldn't onboard enterprise clients without custom development work. We took over as their product engineering partner.
Monthly release cycles, 4.5-hour incident MTTR, no feature flags, no observability. Enterprise deals were falling through due to missing SSO and audit logging.
Rebuilt CI/CD pipeline (3ร daily deploys), added Datadog observability, feature flags via LaunchDarkly, and shipped SSO + audit logs as the first enterprise-readiness sprint.
60ร user growth in 14 months. MTTR fell to 8 minutes. Closed first โน50L enterprise contract in month 3 after SSO shipped. Reached โน2.1Cr ARR.
โ Success Stories
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