Scaling SaaS with AI-Native Product Engineering
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Our focus areas—modernization, AI copilots, APIs, PLG analytics, SRE, and billing—to drive growth and reliability.
Refactor to cloud-ready, multi-tenant services with clear tenancy, isolation, and cost efficiency.
Embed copilots, agentic flows, and RAG so users complete tasks faster—right inside your app.
Design API products, SDKs, and extensions with versioning, rate limits, and monetization ready.
Event models, funnels, cohorts, and experiments to improve activation, retention, and expansion.
SLOs, error budgets, tracing, and incident runbooks to protect uptime and user experience.
Usage metering, entitlements, trials, and pricing tests are wired to reduce churn and lift NRR.
Align goals, assess platform/tenant model, and shortlist high-impact use cases.
Define the thin slice, KPIs, data contracts, and launch conditions.
Implement features with CI/CD, tests, SRE playbooks, and security reviews.
Gate-release, measure outcomes, optimize costs, and plan the next two slices.
We define tenant models (pooled vs. siloed), isolation, quotas, and routing; then implement tenancy in data, caches, and services with observability to track blast radius and costs.
Yes—thin-slice copilots and RAG over-govern content, then expand. We gate releases with flags, eval outputs, and monitor latency, accuracy, and cost per task.
We deliver SOC 2/ISO 27001-aligned controls, SSO/SCIM, RBAC/ABAC, encryption, and audit trails; for payments, we design PCI-aware boundaries and tokenization.
Set SLOs, instrument tracing/metrics/logs, fix top failure modes, and automate runbooks. Error budgets guide releases so reliability and velocity stay balanced.
We add metering, entitlements, and billing integrations, then test plan/price changes with cohorts to lift activation, expansion, and NRR.
A production thin slice live for a target cohort, with CI/CD, SRE, analytics, and a backlog to scale features, tenants, and regions.
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