Backend & cloud partner for startups

We turn complex software problems into shipped products.

We build and scale Node.js & .NET APIs, React & Next.js frontends, and Cloud infrastructure for US and global teams .

10+ years shipping production systems EST overlap for US teams

Productized engineering services

Each engagement starts with the business problem, ends with an outcome you can measure—not a generic “we build software” deck.

Backend engineering

Problem
APIs slow down, monoliths block releases, or integrations sprawl.
Solution
Node.js / NestJS or .NET APIs, microservices boundaries, GraphQL & REST, Redis caching, observability.
Outcome
Faster response times under load, safer deploys, and a codebase your team can own.

Frontend development

Problem
Legacy UI, poor Core Web Vitals, or a rewrite blocking growth.
Solution
React / Next.js apps, component systems, performance tuning, accessibility passes.
Outcome
Snappier UX, better conversion, and a modern stack recruiters and hires recognize.

Cloud & DevOps

Problem
Runaway AWS bills, brittle deploys, or no clear path to scale.
Solution
AWS (Lambda, API Gateway, S3, ECS where it fits), CI/CD, IaC patterns, serverless-first where ROI is clear.
Outcome
Lower infra spend, repeatable releases, and production hygiene (logging, alarms, backups).

SaaS & MVP delivery

Problem
You need paying users fast—not another six-month science project.
Solution
Scope-to-value workshops, vertical slices, weekly demos, production checklists from day one.
Outcome
MVP in 4–8 weeks for well-bounded products, with a roadmap for v2.

Selected outcomes (representative)

Names withheld where under NDA. Numbers are directional—every stack and traffic pattern differs—but this is the shape of work we do every quarter.

Healthcare platform

Scaling APIs under peak enrollment

Client problem

Spikes in traffic during open enrollment crushed API p95 latency and increased error rates.

What we did

Re-architected hot paths with Node.js services, Redis caching, and read replicas; added queue-backed workloads for batch jobs.

Results

  • ~60% faster API p95 under load tests
  • 99.9%+ uptime target with health checks & autoscaling
  • ~30% infra cost reduction after rightsizing + cache hit rate gains

Ride-hailing / mobility

Realtime matching & payouts reliability

Client problem

Dispatch logic was correct but fragile: partial failures in payment webhooks caused reconciliation pain.

What we did

Idempotent webhook processing, outbox pattern, dead-letter queues, and structured audit trails across services.

Results

  • Support tickets for payout mismatches dropped sharply
  • Replayable events for finance sign-off
  • Faster feature delivery with safer deploy cadence

Call-center AI

LLM features without runaway cost

Client problem

Leadership wanted AI-assisted summaries, but early prompts were expensive and inconsistent in production.

What we did

Guardrails, caching, model routing, evaluation harness, and observability on token usage per tenant.

Results

  • Predictable per-seat COGS for AI features
  • Higher answer consistency via eval-driven prompt iterations
  • Clear rollback path if a model version regresses

Logistics

Operational visibility & integrations

Client problem

Ops teams juggled spreadsheets and ad-hoc scripts; carriers and WMS APIs drifted out of sync.

What we did

Unified integration layer, scheduled reconciliation jobs, dashboards in React, alerting on SLA breaches.

Results

  • Hours per week saved on manual reconciliation
  • Fewer missed pickups from stale carrier data
  • Single place to trace an order end-to-end

Stack we ship in production

Logos change; fundamentals do not. If your stack is adjacent, we still speak your language.

Node.js NestJS .NET / ASP.NET Core React Next.js TypeScript PostgreSQL Redis AWS Lambda API Gateway S3 Docker GitHub Actions OpenAI / LLM APIs

Why teams hire Dezborn

You are not buying “hours”—you are buying judgment, execution, and a partner who treats your runway as real.

Senior-led delivery

Architects and leads who have shipped at scale—no bait-and-switch to juniors-only teams.

Business-first scoping

We cut scope to the smallest shippable slice that proves ROI, then iterate with data.

Operational honesty

If serverless is wrong for your workload, we say so. If a monolith is fine for now, we say that too.

US-friendly collaboration

Clear written updates, EST overlap, and contracts that read cleanly for US procurement.

What clients say

Quotes anonymized where agreements require it; engagement details available under NDA during sales.

“They did not disappear into a black box. Weekly demos, written decisions, and pushback when we asked for scope that would not survive real users. Our API latency story is finally boring—in a good way.”
VP Engineering B2B SaaS, United States (NDA)
“We brought them in for AWS cost and reliability. Two sprints later we had autoscaling that matched traffic, alarms that meant something, and a CI/CD path our team could run without fear.”
CTO Seed-stage startup, North America (NDA)

How delivery works

A simple rhythm so stakeholders always know status, risk, and next week’s demo.

Week 1

Discovery & plan

Goals, constraints, risks, and a milestone map. You get a written proposal with tradeoffs—not a vague estimate.

Build sprints

Vertical slices

We ship end-to-end slices (UI + API + infra) so you can test in staging early and often.

Launch

Harden & handoff

Runbooks, monitoring, and knowledge transfer so your team can operate what we built.

Ready for a concrete next step?

Tell us what you are building, your timeline, and (optionally) budget range on the contact form. We reply with whether we are a fit—and what a first milestone would look like.