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Capabilities

Product engineeringyou own outright.

We design and build web products and internal systems, then hand them over properly: a documented repository, a Docker build, a CI pipeline, and infrastructure that runs on AWS, Azure, GCP or your own servers. The IP is yours from the first commit.

stack_topologylive
SYSTEMINPUTOUTPUT
Ownership
100% yours
Cloud
Agnostic
Delivery
Containerised
Lock-in
None
§01

The Futura standard

Every engagement ends with a handover another team could pick up tomorrow: a repository with a README that explains how to run it, a Docker image that builds from a clean checkout, a pipeline that deploys it, and no hosted service of ours left in the path. We write code for you to own, not to keep you attached to us.

§02

Capability modules

Four disciplines. Most engagements draw on more than one.

01

Product engineering

From init to production. Ruby on Rails is our primary backend in every shape we ship. Where the interface is heavy we run Rails as an API behind a separate Next.js front end; where the app is cohesive we keep the monolith and use Inertia.js for a modern front end without splitting the deployable. The decision is about the interface, not the foundation.

  • Ruby on Rails
  • Inertia.js
  • Next.js
  • TypeScript
02

Cloud architecture

Containerised infrastructure using Docker, deployed to AWS, Azure, GCP or bare metal, with GitHub Actions pipelines that keep delivery repeatable. Python and FastAPI where a task suits them, and Node.js as a second option when it makes a job simpler.

  • Docker
  • AWS / Azure / GCP
  • GitHub Actions
  • Terraform / Coolify
03

Applied AI

AI built into products people actually use: assistants and chatbots grounded in your own documents, knowledge-base search that returns sourced answers, and analytics that summarise what the numbers are doing. We integrate model APIs into existing systems rather than rebuilding around them — and we will tell you when a problem is better solved without a model.

  • LLM integration
  • Retrieval / RAG
  • Chatbots
  • AI analytics
04

Venture architecture

Technical due diligence for founders. We turn napkin sketches into execution roadmaps, performing build-versus-buy analysis and feasibility studies before budget is committed.

  • MVP scoping
  • Audit
  • Roadmap
§03

Operational stack

What we reach for by default. Not a constraint — the right tool still wins on the day.

Interface

LAYER_01
  • Next.js (App Router)
  • Inertia.js — when Rails stays a monolith
  • TypeScript (strict)
  • Tailwind CSS

Backend

LAYER_02
  • Ruby on Rails — primary backend
  • Python / FastAPI — where the task suits it
  • Node.js — second option
  • PostgreSQL / Redis / Sidekiq

Infrastructure

LAYER_03
  • Docker (containerisation)
  • GitHub Actions (CI/CD)
  • AWS / Azure / GCP
  • Coolify / Terraform

Models

LAYER_04
  • Anthropic Claude
  • OpenAI API
  • Vector search / embeddings
  • Retrieval pipelines
§04

Engagement protocols

Three ways to work with us. In each of them we would rather be product owners than extra hands: in the decisions about what gets built, and accountable for what ships.

Defined scope

Fixed-scope build

You describe the outcome, we scope it, and we build it for a fixed price against a fixed date. The complete codebase is yours at handover.

  • Fixed price and delivery date
  • Full codebase handover
  • From ₹1,00,000 / ~$1,100
Continuous

Ongoing product build

We run engineering for a product over time, sitting closer to product owner than to supplier: in the decisions, and accountable for what ships. Ownership of the codebase follows the commercial agreement.

  • In the product decisions
  • Codebase transfers per agreement
  • Scales as the product grows
Shared stake

Partner build

For startups: we build at a reduced rate in exchange for a stake, contributing engineering and infrastructure as the investment. Coding responsibility and ownership are shared.

  • Reduced rate plus equity
  • Shared ownership
  • Engineering as investment
terminal — futura:~
user@futura:~$initiate_protocol

Tell us what the system has to do and who has to use it. We will come back with scope, approach, and the honest version of the timeline.

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