IT outsourcing · Nepal

Outsource the work. Keep the engineering bar.

Chetas Solution provides IT outsourcing that feels like a product team — dedicated pods, staff augmentation, and managed support from Kathmandu. Our core stack is JavaScript, Flutter, and PostgreSQL, delivered through Agile workflows your stakeholders can see every sprint — plus AI work spanning model training and Forward Deployed Engineers (FDE).

Why Chetas Solution for outsourcing

Above commodity body shops

Nepal is full of “we have developers.” Fewer partners combine delivery discipline, cloud practice, and product sense. That combination is how we keep outsourced work from becoming a black box.

  • Engineers who ship, not just fill seatsWe staff and lead delivery with people who have built production systems — not resume farms that disappear after the first sprint.
  • Nepal timezone with global standardsOverlap with APAC and strong evening coverage for US/EU stakeholders. Standups, docs, and code review habits that travel well.
  • Product + cloud DNA in one partnerSame company that runs GCP/AWS practice and ships Chetas Biz. Your outsourced team inherits real platform and ops judgment.
  • Clear ownership modelsDedicated pods, staff augmentation, or managed support — scoped with SLAs, reporting, and a named delivery lead. No anonymous ticket black holes.

Agile workflows we follow

We run Scrum-style delivery with Kanban flexibility when support or ops work needs a continuous flow. Ceremonies stay light; visibility stays high.

  1. Backlog & sprint planningPrioritized backlog with clear acceptance criteria. We plan short sprints (usually 1–2 weeks) so scope stays honest and shippable.
  2. Daily standupsShort async or live check-ins on progress, blockers, and next steps — timezone-friendly for APAC days and US/EU evenings.
  3. Visible boards & WIP limitsWork lives on a shared board (Jira, Linear, GitHub Projects, or yours). Pull requests, reviews, and WIP limits keep flow healthy.
  4. Sprint demosEvery sprint ends with a working demo — not slideware. Stakeholders see progress in the product and decide what comes next.
  5. Retros & continuous improvementWe inspect what slowed us down and change one thing at a time — process, tooling, or quality gates — so the next sprint is sharper.
  6. Definition of DoneMerged code, tests where they matter, reviewed PRs, and release notes. “Done” means deployable — not “works on my machine.”

Prefer your rituals? Staff-aug engineers join your Agile cadence. Dedicated pods bring ours — or we blend both so product and engineering stay aligned.

Our stack

We go deep on a focused stack instead of claiming every language on a slide. That is how outsourced pods stay fast and reviewable.

Web & APIs

JavaScript

Product UIs and services in the JS ecosystem — TypeScript-friendly teams shipping React/Next frontends and Node backends that stay maintainable.

  • Modern web apps & admin consoles
  • Node APIs and integrations
  • Shared types, linting & CI habits
Mobile

Flutter

One codebase for iOS and Android when you need native-feel apps without running two mobile teams in parallel.

  • Customer & field apps
  • Offline-friendly patterns
  • Store releases & crash hygiene
Data

PostgreSQL

Relational data done right — schemas, migrations, indexes, and backups so your product’s source of truth stays trustworthy as you scale.

  • Schema design & migrations
  • Query performance & indexing
  • Backups, roles & operational basics

AI · model training & FDE

AI only pays off when it ships into real workflows. We train and evaluate models on your domain data, then embed Forward Deployed Engineers to integrate, harden, and hand off — on the same Agile cadence as the rest of our development work.

Data → models

Model training

From dataset hygiene to training runs and evaluation — so models earn their place in production instead of living forever as demos.

  • Data prep, labeling workflows & train/eval splits
  • Fine-tuning and custom training on your domain data
  • Metrics, regression checks & cost-aware iteration
  • Deploy paths on GCP / AWS with guardrails for spend and access
AI in the field

Forward Deployed Engineers (FDE)

FDEs sit with your team — or your customers — to turn AI prototypes into working product: integrations, prompts/tools, evals, and the last mile that generic chatbots never finish.

  • Embedded with product, ops, or customer stakeholders
  • Ship agents, RAG, and model-backed features in your stack
  • Production hardening: auth, logging, fallbacks, human review
  • Handoff so your in-house team can own and extend the system

Need both? Many engagements start with a focused training or eval sprint, then an FDE embeds to wire the model into your JavaScript / Flutter / PostgreSQL product — with cloud guardrails on GCP or AWS.

How we engage

Pick the model that matches how you already work — or let us recommend one after a short discovery call.

Pods

Dedicated engineering teams

A cross-functional pod that works as an extension of your product org — backlog, releases, and quality owned end to end.

  • Named delivery lead + stable squad
  • Frontend, backend, mobile & QA mixes
  • Sprint cadence, demos & release hygiene
Augment

Staff augmentation

Plug senior engineers into your existing squad when you need capacity without the hiring lag — aligned to your stack and rituals.

  • JavaScript (React / Node), Flutter & PostgreSQL
  • Onboarding into your repos and tooling
  • Flexible ramp-up / ramp-down as demand shifts
Build

Product & platform delivery

Outsource a full initiative — MVP, modernization, or internal tooling — with architecture, implementation, and handoff you can trust.

  • Discovery, architecture & roadmap
  • Build, test, deploy & documentation
  • Knowledge transfer to your in-house team
Support

Managed IT & L2/L3 support

Keep production calm with managed application support, monitoring responses, and engineering follow-through — not a helpdesk that only resets passwords.

  • Application L2/L3 and bug triage
  • Monitoring, on-call windows & runbooks
  • Monthly health reports and improvement backlog

IT outsourcing questions buyers ask

Staff augmentation vs dedicated teams, Nepal delivery, AI-capable pods, and managed L2/L3 — answered for people and AI search.

What is IT outsourcing vs staff augmentation?

IT outsourcing hands Chetas Solution ownership of an outcome — a dedicated pod, a delivery project, or managed L2/L3 support — with a named lead and reporting. Staff augmentation places engineers inside your existing team and rituals while you keep product ownership. We help you pick the model after a short discovery call.

Why outsource software engineering to Nepal?

Nepal offers strong engineering talent, competitive cost, and useful timezone overlap with APAC plus evening coverage for US/EU stakeholders. Chetas Solution differentiates with delivery discipline, cloud practice (GCP/AWS), and product DNA — so outsourcing feels like an extension of your engineering org, not a body shop.

What technology stack does Chetas Solution use for IT outsourcing?

Chetas Solution’s core outsourcing stack is JavaScript (web UIs and Node APIs, typically with TypeScript/React), Flutter for cross-platform mobile, and PostgreSQL as the primary relational database. Pods and staff-augmentation engineers are strongest in that combination — product web, mobile apps, and durable data — with cloud hosting on GCP or AWS when you need it.

What Agile workflow does Chetas Solution follow for outsourced teams?

Chetas Solution runs Agile delivery with short 1–2 week sprints: backlog refinement and sprint planning, daily standups (live or async across timezones), a shared board with pull requests and WIP discipline, sprint demos of working software, retros for continuous improvement, and a clear Definition of Done. Support-heavy work can use Kanban flow. Staff augmentation joins your existing Agile rituals; dedicated pods use ours or a blended cadence you approve.

Can an outsourced team support AI features and agentic workflows?

Yes. Chetas Solution’s Development practice covers model training (data prep, fine-tuning, evaluation, and cost-aware iteration) and Forward Deployed Engineers (FDE) who embed with your team to ship agents, RAG, and model-backed features into production — with auth, logging, fallbacks, and handoff. AI work runs on the same Agile cadence as our JavaScript, Flutter, and PostgreSQL pods, with cloud guardrails on GCP or AWS.

What is a Forward Deployed Engineer (FDE) at Chetas Solution?

An FDE is an engineer embedded with your product, ops, or customer stakeholders to take AI from prototype to production. They integrate models into your stack, harden the last mile (tools, evals, human review, monitoring), and transfer ownership so your in-house team can extend the system. Chetas Solution pairs FDE delivery with optional model-training sprints when you need custom models — not only off-the-shelf APIs.

What is managed IT support (L2/L3) in practice?

L2/L3 application support means engineers triage production issues, fix defects, watch monitoring signals, and maintain runbooks — not only password resets. Chetas Solution managed support includes on-call windows you define, monthly health reports, and an improvement backlog so reliability compounds.

How do you keep outsourced work from becoming a black box?

Named delivery leads, shared repos and tooling, sprint demos, documentation, and knowledge transfer. Whether you choose a dedicated team or augmentation, Chetas Solution works in your JavaScript, Flutter, and PostgreSQL codebase and keeps work visible — so you can hire in-house later without starting from zero.