AI Consultancy & Engineering Partner

Engineering partners who ship in two weeks, build AI that works, govern AI safely, deliver, not advise, modernise safely, scale as you grow and hand it back clean.

Influxient is the senior engineering team you would hire if you could hire fast enough. We scope the work honestly, build it in your repository and your cloud, and put a release in front of your users every fortnight. You own all of it from the first commit.

Book a consultation call How we work

Building and running the software your business depends on

How we build software at Influxient

Human and AI, building side by side

Most delivery still runs on the assumption that every task needs a person from start to finish. We pair experienced engineers with AI that carries the repetitive weight: the boilerplate, the first draft of a test suite, the migration nobody wants to write by hand. The result is a shorter path to a working release, with the same people accountable for what ships.

  1. Decide

    We work out what to build with you, and what to leave out.

    Drafts the options and surfaces the edge cases worth arguing about.

  2. Build

    Our engineers own the architecture and every real decision.

    Writes the repetitive code, the tests and the plumbing around it.

  3. Check

    Nothing reaches you without an experienced engineer reviewing it.

    Catches the bugs, security holes and regressions on the first pass.

  4. Run

    We stay on it after launch and keep shipping.

    Watches it around the clock and flags problems before users do.

AI Buddy

Hire a buddy who never clocks off

Specialists that work alongside your team, taking on the repetitive work that fills a week and making far fewer mistakes doing it. Each one is trained on your tools and your data, and running in your environment within two weeks.

Built and deployed into your own cloud. No shared runtime, and your data never trains a model we reuse.

AI governance

Answerable AI, not just impressive AI

The hard part of shipping AI is not making it work in a demonstration. It is being able to say, afterwards, why it produced that answer, who was accountable for it, and what happens on the day it is confidently wrong. These are the controls we build in as standard rather than offer as a later phase.

Measured before it launches

An answer-quality benchmark built from real questions with agreed answers, run before release and re-runnable after any prompt, model or data change. Without one, every future change is a guess about whether things improved.

A person is accountable

Anywhere an action costs money, contacts a customer or cannot be undone, a human approves it. Agents get latitude to read and draft, and a checkpoint to act.

Your data stays yours

Everything runs in your cloud tenancy under your keys. We do not train shared models on your content, and where a third-party provider is involved we tell you which, what it receives, and what its retention terms are.

Every answer is traceable

Citations back to source documents, prompts and model versions under version control, and an audit log of what was asked and answered. A reviewer can reconstruct a decision rather than take it on trust.

Designed for being wrong

A confidence floor below which the system escalates to a person instead of guessing, and an interface that shows uncertainty rather than hiding it. A model that is right most of the time needs a plan for the rest.

Permissions survive the pipeline

Access rules are carried from the source system through retrieval to the answer, so a copilot can never surface a document the person asking was not allowed to open.

What we build

One team across the whole stack

Seven practices, one team: full-stack and AI development, AI strategy and consulting, product and UX design, mobile apps, cloud and DevOps, data engineering, and legacy modernisation.

Real projects rarely sit inside one of these. The same people cover all of them, so nothing waits on a handover between vendors, and wherever you start the first release is live in two weeks.

The stack

Tools your engineers already know

We default to what is proven and what your team can already operate, rather than what is newest. A stack nobody on your side can run is a handover problem dressed up as an architecture decision.

  • Claude
  • LangChain
  • Hugging Face
  • TypeScript
  • Next.js
  • Go
  • Kotlin
  • Kubernetes
  • Terraform
  • Azure
  • PostgreSQL
  • Snowflake
  • OpenAI
  • PyTorch
  • Python
  • React
  • Node.js
  • Swift
  • Flutter
  • Docker
  • AWS
  • Google Cloud
  • Kafka
  • Airflow
How we work

Fourteen days, start to shipped.

Bigger scope does not mean a longer wait. It means more cycles. The first release always lands on day fourteen.

  1. Day 1

    Scope

    An NDA, then a working session on the real constraints. We agree what ships in this cycle and what waits.

  2. Days 2–3

    Prove the risk

    We build the part most likely to fail first: the integration, the throughput, the retrieval quality.

  3. Days 4–12

    Build

    Daily commits to your repo, deployed to your environment. You watch it happen rather than wait for a demo.

  4. Day 14

    Ship

    Working software in production, with the runbook. Then the next cycle starts, or we hand over and go.

Who we build for

Sectors where being roughly right is not enough

We work best where an audit, a regulator or a reconciliation eventually checks the work. Each sector below sets out the failure cases we build around and the compliance posture we work to.

See how we work in your sector
Our commitments

What we will put in writing

Not values-page decoration. Each of these is a contract term, which is the part that actually protects you.

Talk to a solutions architect

  • Experienced engineers only

    Everyone on your engagement has shipped and run production systems. No juniors learning on your budget.

  • Your cloud, your data

    We deploy into your VPC. Your data, indices, and model artefacts stay yours.

  • A release every two weeks

    Every cycle ends with working software in production, not a status deck. No release, no invoice.

  • You own everything

    Code, infrastructure, and docs are yours from the first commit. No lock-in, no exit fee.

  • Mutual NDA before scoping

    Signed before any technical conversation, so you can describe the real problem.

  • Leave-behind documentation

    Decision records and runbooks written as we go, so your team can run it without us.

Engagement solutions

Start from a solution, not a blank page

The briefs we are asked for most. Each one names the problem, the order we would tackle it in, and exactly what is live at the end of the first two weeks, so you can see the plan before you commit to anything.

All solutions
Before you ask

The questions we actually get

Including the awkward one. Ask yours directly and a solutions architect answers, not a sales script.

Because we would rather show you nothing than show you logos we are not entitled to use. Our early engagements are under NDA, and we will not trade a client's confidentiality for our marketing. Judge us on the first cycle instead: fixed price, fixed scope, and working software in your environment inside fourteen days. That is a faster read on whether we are any good than any case study.