Team celebrating progress and results in a modern workplace

Evidence-led portfolio

AI-first outcomes you can read on a dashboard

From a 95+ site US hyperlocal network serving millions of readers to ERP and infrastructure programs in Ecuador—these engagements share one bar: production-shaped decisions, measurable ROI, and platforms that stay governable as AI and automation expand.

Scale

US franchise media, enterprise logistics, and multi-tenant platforms—engineered for load and scrutiny.

Economics

Cloud rightsizing, performance budgets, and automation where unit cost and risk profiles justify it.

Governance

AI and automation with approvals, observability, and rollback paths leadership can defend.

Contextual proof

Outcomes you can validate in production

Strategy earns its keep when delivery holds up under load. Here is how that shows up for teams who needed AI-ready platforms without sacrificing economics or governance.

Michael Shapiro, Founder and CEO, TAPinto
Senirop didn't just rebuild our platform; they transformed how we scale. By optimizing our infrastructure, they dramatically improved page speed and strengthened our SEO. Our publishers can now solely focus on local…
Michael ShapiroFounder and CEO, TAPinto

Key results · TAPinto

1.6M+ monthly readers · 95+ local sites

TAPinto is a network of 95+ independently owned local news and digital marketing sites—concentrated in New Jersey, New York, Pennsylvania, and Florida—built on a shared franchise platform. Senirop hardened delivery, security, and economics: roughly one-third lower cloud spend, stronger Core Web Vitals, and a stack publishers can evolve without vendor lock-in.

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What we optimize across these engagements

  • ROI clarity: initiatives scoped to measurable operating leverage—not experimental sprawl.
  • Governed AI: agents and models wired with approvals, traces, and rollback paths your risk team can defend.
  • Durable velocity: standards and observability so speed compounds instead of creating silent debt.

Industry lenses

How AI-first delivery maps to your toughest financial levers

The same partnership posture flexes across operating models—building on the evidence above, with sector-specific lenses here and a SaaS pattern when a public write-up is not on the page yet.

Franchise hyperlocal news · digital marketing platforms

TAPinto

TAPinto is a network of 95+ independently owned local news and digital marketing sites—concentrated in New Jersey, New York, Pennsylvania, and Florida—built on a shared franchise platform. Senirop hardened delivery, security, and economics: roughly one-third lower cloud spend, stronger Core Web Vitals, and a stack publishers can evolve without vendor lock-in.

Read the story

Network infrastructure · distribution

Suptelcom

We helped Suptelcom rank #1 for 'Panduit' in Ecuador and build a website that makes their massive catalog feel as accessible as a conversation with their best sales rep.

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Import / export · logistics

Lideser

From the port of Guayaquil to a warehouse in Quito, every handoff matters. We built Lideser a purpose-built ERP that follows every container's heartbeat—so their team can focus on moving cargo, not hunting for data.

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Pattern · recurring revenue software

Product-led SaaS & platform economics

For teams shipping weekly behind feature flags, we align AI surfaces with SLOs, entitlement boundaries, and cost-per-tenant models—so experiments in automation do not destabilize the core SKU or inflate support load.

Talk through your surface area

Next engagement

Your story belongs in the same evidence-led portfolio

If you are navigating AI adoption, platform economics, or a high-stakes rewrite, we start like we did on these cases—with clarity on risk, ROI, and what “done” means in production.

  • Bring a live problem: latency, cost curve, AI governance, or delivery risk—we respond with a concrete read.
  • NDA-friendly deep dives before you expose sensitive architecture or data.
  • Engagement options from fractional CTO to embedded engineering—aligned to evidence, not vanity scope.

What we look for

Teams ready to pair AI leverage with engineering discipline—clear decision makers, realistic horizons, and willingness to measure outcomes in production, not slideware.

Global

US-scale media, LATAM logistics, enterprise platforms—one delivery bar

AI-ready

Governed automation, observability, and economics baked into the plan

Trusted engineering

Teams across media, logistics, and enterprise platforms—where reliability and clarity matter as much as velocity