AI systems, minus the hype.

An AI engineering firm for financial, insurance, and operations-heavy businesses. We design, build, and ship systems from first discovery call to production — with the numbers to prove it.

$499 POC in 24 hours · MVP in 14 days · Built on production AI experience at global banks and insurers

Our thesis

Most businesses don’t have an AI problem. They have an operations problem — work living in spreadsheets, inboxes, and tools that are hours out of date. Bolting a chatbot onto that changes nothing. What works is a system built around your data: one that answers, acts, and holds up in production. That’s what we build.

Process

Four phases. One complete system.

We don't write code first. Every system we ship moves through the same four phases — so nothing reaches production on hope.

POC in 24 hours MVP in 14 days production & beyond

  1. − 01

    Analyze

    Before a single line of code, we interrogate the problem. Deep discovery sessions, data landscape audits, and strategic mapping to define exactly what is being built — and why it will work.

    • Problem discovery & scoping
    • Data landscape audit
    • AI feasibility assessment
    • Strategic roadmap
  2. − 02

    Architect

    Every system is blueprint-first. We design the complete technical architecture — data pipelines, model selection, infrastructure — before production code begins. The blueprint is the product.

    • System architecture design
    • Model & stack selection
    • Data pipeline engineering
    • Full technical specification
  3. − 03

    Build

    We build the model and the software around it — the pipelines, APIs, and tests that make AI dependable in production, not just impressive in a demo.

    • AI model development & fine-tuning
    • Backend & API engineering
    • Integration & system testing
    • Performance optimization
  4. − 04

    Deploy

    Launch is the beginning, not the end. We ship with CI/CD pipelines, live monitoring dashboards, and dedicated post-launch support — ensuring your system scales as your business grows.

    • Production deployment
    • CI/CD pipeline setup
    • Live performance monitoring
    • Ongoing system optimization

Case studies

Systems in production.

− 01

Insurance Operations Intelligence System

From a hundred spreadsheets to a single question.

Managers at a US insurance firm were making decisions off spreadsheets that were already hours out of date. We replaced them with a question box that answers from live operational data.

  • 48 hours from brief to a working system in managers’ hands
  • ~80% reduction in ops reporting time
  • <5s response time to any workforce query
Read the case study →
− 02

AI-Powered Accounting Platform

The accounting department that fits in your pocket.

Receipts in inboxes, statements in unreadable formats, and a month-end scramble to piece it all together. We built the accounting department into the software.

  • 90% reduction in manual bookkeeping time
  • $8k+ average annual savings per business on accounting costs
  • 1-click to generate a complete financial summary
Read the case study →
− 03 · Built in-house

Nivesha — AI Portfolio Decision Platform

A portfolio you can explain, six months after the decision.

Our own product, built end to end with the same four-phase process we run for clients: a system that evaluates every stock in the Nifty 500 — and records why each decision was made.

  • Every Nifty 500 stock evaluated continuously — no manual screening
  • Every recommendation traceable — the decision log answers “why did we buy?”
  • Risk limits enforced by the system, not by discipline
Read the case study →

Ready to build your system?

Let's start.

Book a 30-minute call →

Not ready for a full build? Start with the $499 discovery sprint — a working POC in 24 hours.

Or write to us — contact@minus.systems