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What we do

Engineering across the whole system, not one layer of it.

Twelve capabilities that combine. Most engagements start in one and end up touching two or three, because real problems do not respect service boundaries.

01

AI & Intelligent Automation

Most useful AI work is not a model. It is retrieval, tooling, evaluation and the boring parts of integration done properly. That is the part we build.

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02

AI Chatbots

A chatbot is only worth deploying if it knows things the visitor could not find on their own — and admits when it does not.

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03

AI Agents

An agent is a system that is allowed to do things. That makes the design question a question about boundaries, not about intelligence.

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04

Software Engineering

Most software does not fail at launch. It fails eighteen months later, when a reasonable change turns out to cost more than the original build.

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05

Web Applications

The browser is now the default runtime for serious software. That raises the bar on performance and accessibility rather than lowering it.

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06

Mobile Applications

A phone is an unreliable computer on an unreliable network. Apps that respect that feel fast; apps that do not feel broken.

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07

Cloud & AWS

Cloud infrastructure should scale with the business — not outrun its budget, and not require the person who built it to be reachable at 2am.

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08

AWS Cost Optimization

An AWS bill is a design document. Read carefully, it tells you exactly which architectural decisions are being paid for every month.

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09

DevOps & Platform

Deployment frequency is not a vanity metric. It is the clearest available proxy for how much fear is in your system.

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10

Data & Analytics

Two dashboards disagreeing about revenue is not a dashboard problem. It is a modelling problem, and it will not be fixed by a third dashboard.

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11

Cybersecurity & Reliability

Security and reliability are the same discipline viewed from two angles: reducing the number of ways a system can reach a state you did not intend.

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12

Product Engineering

Scope, interface and architecture constrain each other. Deciding them in separate rooms is how products become expensive.

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Method

How JANNEX works

Seven stages. The first two decide whether the other five are worth running.

01

Understand

We start with the constraint, not the feature list. What breaks today, who it affects, what it costs.

02

Define

A written scope with the trade-offs made explicit — what is in, what is deferred, what we will measure.

03

Design

Interfaces, data models and system boundaries designed together, because they constrain each other.

04

Build

Short cycles against a working environment. Reviewed code, tests where they earn their keep.

05

Launch

Staged rollout with monitoring in place before traffic, not after the first incident.

06

Learn

Instrumented usage read against the thing we said we would measure at Define.

07

Scale

Performance, cost and operations tuned once real load has told us where the pressure is.

Standards

One standard across all of it.

  • You own the source, the infrastructure definitions, the documentation and the credentials
  • Scope and trade-offs written down before engineering starts
  • Decisions recorded with the reason, so the next team inherits context rather than archaeology
  • Tests concentrated where money, permissions and data integrity are involved
  • Monitoring in place before traffic, not after the first incident
  • WCAG 2.2 AA as the working accessibility standard on anything with an interface
  • A handover that leaves your team able to run the system without us

These are commitments, not aspirations. If we cannot meet one on a particular engagement, we will tell you before you sign rather than after.

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Have something worth building?

Tell us the constraint you are working against. If we are not the right people for it, we will say so.

Or write to connect@jannex.in