$ shornoga ls ./services --detail

Six ways we ship with you.

From validating a raw idea to embedding senior engineers in your org — pick the engagement that fits where you are.

// service-01

MVP for Market Validation

Go from idea to working product fast — built to test, learn, and iterate.

Most product ideas fail not because they were built badly, but because they were built before anyone confirmed the market wanted them. Our MVP engagement flips that risk: we strip your idea down to the single riskiest assumption, then build the smallest real product that can test it with actual users.

We start with a focused discovery sprint — mapping your users, the problem, and the one core loop that proves value. From there, a compact Shornoga squad designs and builds in weekly sprints, with a demo you can click every Friday. We instrument everything from day one, so when the MVP ships you're not guessing: you're reading activation, retention, and feedback data that tells you whether to double down, pivot, or refine.

The codebase isn't a throwaway prototype either. We build on production-grade foundations (clean architecture, CI/CD, cloud-ready), so the version that validates your market is the same one you scale — no expensive rewrite between "it works" and "it grows."

what's included

  • Product discovery & assumption-mapping workshop
  • UX flows and clickable prototype
  • Production MVP built in weekly sprints
  • Analytics, feedback loops & launch support
  • Post-launch iteration roadmap

timeline: 4–8 weeks

team: 2–4 engineers + designer + lead

best for: founders & teams validating a new product

// service-02

AI Integration & Automation

Embed AI into your existing workflows to eliminate bottlenecks and scale.

The biggest AI wins usually aren't flashy new products — they're the hours your team stops losing to repetitive work. We map your actual workflows, find the bottlenecks where people copy, summarise, classify, respond, or route by hand, and replace them with AI that plugs into the tools you already use.

Depending on the problem, that might be an LLM-powered assistant inside your support desk, a retrieval (RAG) system that answers questions from your internal docs, an agent that triages inbound requests, or automation that connects your CRM, ticketing, and communication tools. We're model-pragmatic — OpenAI, Anthropic, or open-source via HuggingFace — choosing on quality, cost, and data-privacy fit rather than hype.

Crucially, we don't ship black boxes. Every integration comes with an evaluation suite, guardrails, human-in-the-loop controls where they matter, and monitoring — so you can see accuracy, cost per task, and time saved, and trust the system enough to actually rely on it.

what's included

  • Workflow & bottleneck mapping
  • Model selection & architecture (LLM, RAG, agents)
  • Integration with your existing tools & data
  • Evaluation suite, guardrails & monitoring
  • ROI reporting: accuracy, cost & hours saved

timeline: 3–6 weeks per workflow

stack: OpenAI · Anthropic · LangChain · FastAPI

best for: ops-heavy teams ready to automate

// service-03

AI Readiness Audit

Assess your data, infrastructure, and processes before committing to AI.

Many AI initiatives stall for reasons that were visible before the first line of code: data scattered across systems, no clear owner, infrastructure that can't serve models, or use cases chosen for excitement rather than value. The audit exists to surface all of that early — before you commit budget.

Over two to three weeks we review your data landscape (quality, access, governance, privacy), your infrastructure (cloud setup, security posture, integration points), and your processes (where decisions are made, where time is lost, where AI would genuinely change outcomes). We interview stakeholders, inspect systems, and score candidate use cases on impact versus feasibility.

You walk away with an honest, prioritised picture: which AI opportunities are ready now, which need groundwork first, and which aren't worth pursuing. If the answer is "you're not ready yet," we tell you that too — along with exactly what to fix. The roadmap is yours to execute with anyone, though most clients continue with us into integration.

what's included

  • Data quality, access & governance review
  • Infrastructure & security assessment
  • Use-case discovery & impact/feasibility scoring
  • Risk, compliance & governance guidance
  • Prioritised AI roadmap with cost estimates

timeline: 2–3 weeks

format: interviews + system review + report

best for: leaders deciding where AI fits

// service-04

AI Training & Upskilling

Equip your team with hands-on AI skills through tailored programs.

Tools change monthly; capability compounds. Rather than one-off "AI awareness" seminars, we run hands-on programs where your people build working things — because the team that has shipped a small AI workflow understands more than the team that watched ten webinars.

Every program is tailored to the audience. For leadership, that means executive briefings on capability, risk, and strategy. For operations and business teams, practical prompting and workflow automation with the tools they already use. For engineers, deeper cohorts on building LLM applications: retrieval pipelines, agents, evaluation, security, and cost control. We can also pair-build: our engineers working alongside yours on a real internal project as the curriculum.

Because Shornoga runs continuous training for its own engineers in Kathmandu, this isn't a side offering — it's the same learning system we use internally, adapted to your stack and context. Programs end with an assessment and a practical playbook your team keeps.

what's included

  • Tailored curriculum per role & skill level
  • Hands-on workshops building real workflows
  • Engineering cohorts: LLM apps, RAG, evals, security
  • Executive briefings on strategy & risk
  • Playbooks, assessments & follow-up support

format: workshops · cohorts · pair-building

delivery: remote or on-site

best for: teams adopting AI for real work

// service-05

Cloud & DevOps Setup

Build reliable, scalable infrastructure from day one.

Infrastructure decisions made carelessly in month one become the outages, surprise bills, and week-long deploys of year one. We set up cloud foundations the way mature engineering orgs run them — automated, observable, secure, and boring in the best possible way.

Everything is infrastructure-as-code (Terraform), so your environment is reproducible and reviewable rather than hand-built and fragile. CI/CD pipelines take code from commit to production with tests and checks in between. Workloads run in containers — Docker, and Kubernetes when scale justifies it — on AWS, Google Cloud, or Azure. We wire in observability (logs, metrics, alerts) so you see problems before customers do, and a security baseline: least-privilege access, secrets management, encrypted data, and backups that have actually been tested.

We also design for cost from the start — right-sized resources, autoscaling, and budget alerts — which matters doubly for AI workloads where GPU and inference costs can spiral. The handover includes documentation and a walkthrough, so your team owns the setup rather than depending on us.

what's included

  • Infrastructure-as-code with Terraform
  • CI/CD pipelines from commit to production
  • Containerisation: Docker & Kubernetes
  • Observability, security baseline & backups
  • Cost optimisation & documented handover

timeline: 2–5 weeks

clouds: AWS · Google Cloud · Azure

best for: startups & teams scaling past ad-hoc infra

// service-06

Embedded Tech Teams

Senior engineers who work as part of your team, not just alongside it.

Traditional outsourcing hands you deliverables over a wall. Embedded teams work differently: our engineers join your standups, use your tools, follow your code review culture, and care about your roadmap — indistinguishable from teammates except for where they sit. Kathmandu's GMT+5:45 time zone gives real overlap with both European mornings and American evenings, so collaboration happens live, not in day-delayed handoffs.

Every engineer is senior and vetted hard — for craft, but equally for communication, ownership, and the judgment to push back when something's wrong. We match for your domain and stack, and engineers ramp inside two weeks with a structured onboarding we run together. A Shornoga delivery lead stays involved to keep quality and velocity high without adding management burden on your side.

Because we build sustainable careers rather than churn contractors, our retention is the quiet superpower here: the engineer who joins your team stays with your team, accumulating context that compounds. Scale up when roadmaps grow, scale down when they don't — without the cost and delay of hiring cycles.

what's included

  • Senior engineers vetted for craft & communication
  • Domain & stack matching, ramp-up in ~2 weeks
  • Your rituals, tools & review culture
  • Delivery lead oversight at no management cost to you
  • Flexible scaling, long-term retention

engagement: 3+ months, flexible size

overlap: GMT+5:45 — bridges EU & US hours

best for: teams scaling without hiring drag

// pick-your-path

Not sure which fits? Start with a call.

Thirty minutes, no pitch deck — just an honest look at where you are and which engagement gets you moving fastest.