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Extend your engineering team.Build and modernize your software.Put cloud, data and AI to work.

Varcas Ventures is an engineering partner for technology companies and enterprises. We bring experienced engineers, an agreed delivery process and AI-assisted workflows, and we take responsibility for what ships.

EngineeringteamsDedicated teamsTeam extensionDelivery podsSoftware &productsProduct buildsModernizationIntegrationCloud, data& AICloud & DevOpsData platformsAI solutionsOne accountable delivery process

Three ways we help engineering leaders

Add capacity to your team, hand us a product to build or modernize, or bring in cloud, data and AI engineering. Most clients use more than one.

AI-Enabled Engineering Teams

Experienced engineers who join your team, follow your process and use AI-assisted workflows to move faster, with every change reviewed by a person.

  • Dedicated teams that work only on your product
  • Team extension: specific skills added to your existing team
  • Small delivery pods that own a defined scope
  • A core team, extended by a vetted specialist network when you need niche skills

A low-risk way to start

Team Pilot

Software & Product Engineering

We design, build and modernize web, mobile and enterprise software, from the first release through long-term support.

  • Product engineering, from MVP to scale
  • Custom web, mobile and enterprise applications
  • Application modernization: re-platforming, containers and microservices
  • API design and system integration
  • Project recovery when delivery has stalled

A low-risk way to start

Architecture & Cloud Review

Cloud, Data & AI Engineering

We migrate and run workloads on AWS, Azure and Google Cloud, build the data foundations analytics depends on, and deliver AI systems that hold up in production.

  • Cloud migration, modernization and managed operations
  • DevOps, CI/CD and infrastructure as code
  • Cloud security reviews and cost optimization (FinOps)
  • Data warehousing, ETL pipelines, BI and database migration
  • AI solutions: RAG, agents, document intelligence and machine learning models

A low-risk way to start

AI Use-Case Sprint

You get a delivery system, not a list of CVs.

Hiring engineers is the easy part. What makes an engagement work is how people, process and tools are put together, and who is accountable for the result.

People
Experienced engineers, matched to your stack and the way your team works.
Process
Planning, code review, testing and release practices agreed with you up front.
AI
AI-assisted coding, testing and documentation, used where it improves speed or quality.
Technology
Cloud, data and application platforms chosen for your requirements.
Accountability
Clear owners, shared goals and regular reporting on what shipped.

AI in how we work, and in what we build.

How our engineers work

AI-enabled engineering

Our engineers use AI assistants for code generation, test writing, refactoring and documentation. Every AI-assisted change goes through the same review, testing and approval as any other code.

What we build for you

AI solutions

We build AI into your products and operations: retrieval-augmented generation (RAG) over your own documents, task-specific agents, document intelligence and OCR, and machine learning models, with evaluation and human review designed in.

AI makes good engineers faster. It doesn't replace the judgment of the people accountable for your system.

Platforms we have built for financial services

Our team has built production platforms for regulated financial institutions. When a client needs the same capabilities, we start from proven components instead of a blank page.

  • Customer lifecycle and KYC

    Digital onboarding, KYC, video KYC and ongoing digital services, end to end.

  • AML and sanctions screening

    Screening customers against sanctions lists, watchlists and internal blacklists.

  • API and channel platform

    A managed API layer that exposes core banking services securely to digital channels and partners.

How an engagement runs

  1. Step 1

    Assess

    We review your goals, current system and constraints, and agree what success looks like.

  2. Step 2

    Plan

    We propose the team, scope, architecture and delivery plan, with clear responsibilities.

  3. Step 3

    Build

    We deliver in short iterations, with demos, code review and testing in every cycle.

  4. Step 4

    Operate and improve

    We support what we ship, transfer knowledge to your team and keep improving it.

Choose how we work together

Dedicated team
A long-term team working only on your product, at a fixed monthly or hourly rate.
Project-based
Agreed scope, specifications and schedule, with time and cost estimates tracked throughout.
On-demand
Flexible capacity for evolving work, with each completed piece of work billed separately.

Start small

Each of these has a fixed scope, so you can judge how we work before committing to more.

  • Team Pilot

    A small team works against agreed sprint goals. At the end we review the results together, with no long-term commitment.

  • Architecture & Cloud Review

    A structured review of your application and cloud architecture against well-architected practices, ending with a prioritized list of risks and fixes.

  • AI Use-Case Sprint

    We scope one real use case, build a working prototype and give you a clear recommendation on whether to take it further.

Ask about a starting engagement

Industries we work in

SaaS and technology
Product teams that need to ship faster without losing control of architecture and quality.
Financial services and FinTech
Onboarding, KYC, AML and integrations, built to stand up to regulatory scrutiny and audit.
HealthTech
Software that handles sensitive data, with access control and audit trails designed in from the start.
Enterprise
Legacy modernization, cloud migration and data platforms for organizations in transition.

Talk to an engineering lead

Tell us what you are working on. We will reply by email to arrange a call.

Engineering from Kathmandu, working on your schedule

Our engineering team is based in Kupondole, Lalitpur, Nepal. At the start of each engagement we agree overlapping working hours with your team, and we work inside your tools and routines rather than asking you to adopt ours.

Office
Kupondole, Lalitpur, Nepal
Time zone
Nepal Time (UTC+5:45)
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