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Smart onboarding flows, usage-based recommendations, and anomaly detection on customer health scores. Every feature is scoped to produce measurable impact.
Multi-tenancy, horizontal scaling, and zero-downtime deploys designed before a line of code is written. Built to survive growth spikes, not recover from them.
ChartMogul, Stripe, and Chargebee integrated with data pipelines that connect product usage to billing signals. Real-time MRR, churn risk, and expansion visibility in one place.
Logging, access controls, encryption, and audit trail infrastructure built in from day one. Your platform passes enterprise procurement without a last-minute scramble.
Free trials, usage gates, and activation metrics built into the product architecture. Converts free users to paying accounts without adding sales headcount.
Agile sprints, weekly demos, Monday.com boards. You own the code and control the roadmap.
I'd recommend them to anyone looking for product development support.
Not every system we build starts as a published case study. These are the use cases SaaS founders and product teams ask us for most — each one a production build scoped to your stack and growth stage, not an off-the-shelf tool.
We audit the product to find where AI creates measurable retention or revenue lift, scope one MVP feature, ship it in 6–8 weeks, and measure impact before expanding. We don't rebuild around AI. We add it where it earns its keep.
Most retention-focused features produce measurable signal within 60–90 days of launch. We scope and instrument for that from the start so you're not waiting a quarter to find out if something worked.
Yes. We extend what you have, whether that's a Rails monolith, a Node.js API, or a React frontend. Full rewrites are rarely the right call and we'll tell you when they are.
We build SOC 2 Type II compliance in from day one: logging, access controls, encryption, and audit trail infrastructure. Your platform passes the procurement review instead of stalling it.
Focused AI features or platform additions typically run $75K–$150K. Full product builds from scratch range $150K–$500K depending on integrations and complexity. We scope before starting, so there are no surprises.
Since lines of code produced are now a vanity metric, we measure the success of our engagement by roadmap progress achieved, churn reduced, and business growth. If you want a team of senior engineers (full stack, machine learning, and AI), reach out to us and get a quote to augment your existing staff.
Meet with founders Andrew Amann & Pavel Kirillov
Custom AI implementation roadmap
No sales pressure
