AI engineered aroundreal business problems.


We design and build AI products, platforms and workflows that cut operational work, sharpen decisions and create experiences that weren't possible before. We start with the problem, not the model.

Selected AI work_

Solutions shaped around the problem they solve.

B2B platforms, operational automation and consumer products. Each one uses AI differently, because each problem needs a different kind of intelligence.

9 projects
TopTecField services

Automating the front office of field-service businesses.

  • Voice AI
  • Customer reactivation
  • Booking automation
100%inbound call coverage
Case study →
MaslowRecruitment

Bringing intelligence and consistency into every interview.

  • Interview intelligence
  • Real-time assistance
  • Candidate assessment

One evidence base across every interview round.

Case study →
FotivoeCommerce

Turning product photography into an on-demand creative workflow.

  • Generative images
  • Brand intelligence
  • Creative automation

Campaign imagery without a new photoshoot.

Case study →
OpenlineRelationship wellness

Helping couples move from conflict toward clearer conversations.

  • Conversation understanding
  • Perspective summaries
  • Guided reflection
1,000+app sessions per day
Case study →
LootrRetail

Replacing manual price hunting with one AI shopping assistant.

  • Conversational commerce
  • Visual search
  • Product recognition

Discovery, comparison and trust in one journey.

Case study →
Recovery GuruWellness commerce

Complex wellness products made easier to compare, and the catalogue easier to scale.

  • Product data extraction
  • Specification mapping
  • AI recommendations

From manual data entry to automated ingestion.

Case study →
SMF MedHealthcare

Turning fragmented medical records into one continuous health journey.

  • Report summarisation
  • Information extraction
  • Historical comparison

Records, review and AI insight in one place.

Case study →
FacebloomConsumer AI

Turning computer vision into a commercially scalable consumer experience.

  • Computer vision
  • Facial analysis
  • Personalisation
$1M+revenue from 50,000+ users
Case study →
Calling All KidsFamily tech

Turning everyday parenting moments into personalised character calls.

  • Generative scripts
  • AI voice
  • Contextual personalisation

Personal calls at scale, no recordings needed.

Case study →
What AI changes_

Different problems need different kinds of intelligence.

Across our work, AI plays five distinct roles. Select one to see the projects where we've used it.

How we work_

From AI opportunity to production system.

A useful AI product takes far more than a model integration.

01

Find the right problem

We start with the workflow or constraint and find where intelligence would materially improve it.

02

Design it into the product

What the AI knows, when it acts, where a person stays involved and how results appear.

03

Engineer the whole system

Data, integrations, interfaces, permissions, infrastructure and monitoring, built as one.

04

Validate and improve

Testing, quality control and fallbacks, because AI output is probabilistic.

Human control_

Automation should remove work, not judgement.


In healthcare, recruitment, relationships and other sensitive areas, we design the line between AI assistance and human decisions on purpose.

AI can
SummariseCompareDetectGenerateRecommend
People stay responsible for

Decisions where context, professional judgement or personal choice matters.

Technology_

The technology behind the work.

Generative AI, machine learning, computer vision and intelligent automation, chosen for the problem rather than forced onto one stack.

Generative AI

  • OpenAI
  • Gemini
  • Claude
  • Nano Banana
  • LLM apps

AI applications

  • RAG
  • AI agents
  • MCP
  • LangChain
  • Conversational AI
  • Intelligent automation

Voice AI

  • ElevenLabs
  • Speech generation
  • Conversational voice
  • AI calling

Machine learning

  • TensorFlow
  • PyTorch
  • ML Kit
  • NLP
  • Neural networks

Computer vision

  • MediaPipe
  • Facial analysis
  • Image understanding
  • Visual search

Product engineering

  • Next.js
  • React
  • Flutter
  • Node.js
  • Python
  • PostgreSQL
  • AWS
Why JinnByte_

AI expertise connected to product and engineering.

Use case first

We define what needs to improve before choosing how AI is used.

The complete product

Models, software, UX, data and infrastructure as one solution.

Built for adoption

Great models fail inside hard-to-use workflows. We design for both.

Production ready

Security, scale, monitoring and human oversight from day one.

Technology agnostic

The right model or framework for the problem, not a favourite stack.

Start a conversation_

Have a problem AI could solve?

You don't need a model or a spec. Tell us what takes too long, costs too much or holds the business back, and we'll show you where AI can create real value.