AI & Machine Learning Development

Production AI, built and shipped.

We design, train, and deploy custom ML models and LLM products - from data pipeline to production API.

Custom ML Models
LLM & RAG Pipelines
Computer Vision
MLOps & Deployment
Custom AI Models
LLM Integration
Chatbot Development
Computer Vision
NLP Systems
Predictive Analytics
MLOps & Deployment
RAG Pipelines
Data Engineering
AI Automation
Vector Databases
Fine-tuning
Custom AI Models
LLM Integration
Chatbot Development
Computer Vision
NLP Systems
Predictive Analytics
MLOps & Deployment
RAG Pipelines
Data Engineering
AI Automation
Vector Databases
Fine-tuning
Our AI Expertise

Comprehensive AI & ML Services

We focus on a handful of things we can build, ship, and prove - not a checklist of everything.

01

Custom ML & Predictive Models

Machine learning built for your data - forecasting, classification, recommendation, and churn prediction with explainable, auditable outputs.

02

LLM Apps, RAG & Chatbots

Production LLM products: retrieval-augmented generation, function calling, multi-turn memory, and NLP pipelines that understand and generate language.

03

Computer Vision

Visual intelligence: image recognition, object detection, OCR, and video analytics for automation, quality control, and document processing.

04

Data & Vector Pipelines

End-to-end data infrastructure - ETL pipelines, feature stores, embeddings, and vector databases to power retrieval and AI at any scale.

05

Deployment, MLOps & Integration

Ship AI to production - REST APIs, webhooks, and SDKs into your existing apps, plus training pipelines, model registries, and real-time monitoring.

06

AI Strategy & Consulting

Use-case identification, ROI modeling, responsible AI governance, data-readiness audits, and model selection tailored to your goals.

Model-Agnostic

Capabilities We Deploy

We're model-agnostic. We benchmark across providers and route each task to the model that best fits your accuracy, latency, privacy and cost needs.

Frontier Reasoning

Top models from OpenAI, Anthropic & Google for complex reasoning, analysis and code.

Long-Context Understanding

Process an entire codebase, contract, or research corpus in a single pass.

Vision & Multimodal

Image, document, and video understanding - OCR, extraction, and visual QA.

Open-Weight / Self-Hosted

Llama, Mistral, Qwen - for data privacy, control, and lower cost at scale.

Image Generation

On-brand image creation and editing.

Fine-Tuning & Routing

We benchmark and route each task to the best-fit model for your accuracy, latency, privacy and budget.

Industry Applications

AI That Works Across Every Industry

No matter your vertical, we bring proven AI patterns adapted to your domain's requirements and constraints.

E-Commerce

Personalization Engine

AI-driven product recommendations, dynamic pricing, and churn prediction to maximise revenue.

Healthcare

Clinical Decision Support

Clinical decision-support tooling, medical-imaging workflows, and patient-risk analytics - built to support, not replace, clinicians.

Finance

Fraud Detection & Risk

Real-time transaction monitoring, risk analytics, and market trend forecasting models.

Enterprise

Intelligent Automation

Document processing, workflow automation, and enterprise search powered by LLMs.

EdTech

Adaptive Learning AI

Personalised curriculum, automated grading, and AI tutors that adapt to each student.

SaaS

AI-Native Features

Embed AI directly into your SaaS product - smart search, copilots, and analytics dashboards.

Tech Stack

The AI Stack We Use

The ML frameworks and platforms we use to build and ship production-ready AI.

Our Process

How We Build AI Solutions

A data-driven, iterative approach with clear timelines - working AI early, refined over time.

01
Step 01
~1 week

Discovery & Assessment

We analyse your data assets, business processes, and goals to identify the highest-value AI opportunities and a clear ROI case.

02
Step 02
1-2 weeks

Data Preparation

Collect, clean, label, and structure your data - the foundation of every accurate, reliable AI model.

03
Step 03
2-6 weeks

Model Development

Our data scientists train and fine-tune models using best-fit algorithms, from classical ML to the latest LLMs.

04
Step 04
1 week

Validation & Testing

Rigorous testing with held-out datasets ensures your model performs accurately on real-world data before deployment.

05
Step 05
1-2 weeks

Deployment & Integration

Deploy to production and integrate via APIs, dashboards, and automated pipelines - cloud or on-premise.

06
Step 06
Ongoing

Monitoring & Retraining

Continuous drift detection and periodic retraining keep your AI accurate and improving over time.

Why ADK Stack

Why Businesses Trust Our AI Team

Model-Agnostic

We work across OpenAI, Anthropic, Google, and open-weight models, choosing the best fit for your use case and budget.

Security-First

GDPR- and HIPAA-aligned data-handling practices, end-to-end encryption, and role-based access from day one.

MLOps at Scale

Automated training pipelines, model registries, A/B testing, and real-time monitoring so your AI never goes stale.

Full-Stack AI

From raw data to production UI - we handle data engineering, model training, backend APIs, and frontend dashboards end to end.

Explainable AI

Interpretable models with SHAP/LIME explanations and audit trails that support stakeholder and regulatory review.

Fast Time-to-Value

Rapid prototyping in days, production deployment in weeks. Our iterative approach delivers working AI early and often.

FAQ

Frequently Asked Questions

Proof & Trust

Selected Work

We're a newer, hands-on team - so we lead with how we work and what we ship. Here's the shape of the engagements we take on.

Legal / SaaS
Problem

Manual contract review took analysts hours per document.

What we built

A RAG assistant over their contract corpus with clause-level citations.

Result

Target: ~70% faster first-pass review.

E-Commerce
Problem

Generic product recommendations were leaving revenue on the table.

What we built

A custom recommendation + churn-prediction model wired into their stack.

Result

Target: higher AOV and earlier churn signals.

Operations
Problem

Repetitive document processing was slowing the back office.

What we built

A vision + LLM pipeline for extraction, classification, and routing.

Result

Target: hours of manual data entry removed per week.

Engagements from $3k
Projects from 4 weeks
Free 48h scoping doc
Fixed-scope proposals

Transparent, fixed-scope pricing and a clear timeline before any work begins - no surprises, no lock-in.

Get Started Today

Have an AI project in mind?

Tell us the problem you're solving. You'll get a free scoping doc within 48 hours, and a fixed-scope proposal within 24 hours of our call.

Free Discovery Call
Custom AI Models
48h Scoping Doc
Expert AI Team