Real AI in real products — not wrappers, not demos.
We build production AI systems that solve actual business problems. LLM integrations, custom models, intelligent automation — embedded into your product, monitored in production, improving over time.
What we build
Software for every layer of your business.
LLM Integrations
ChatGPT, Claude, and open-source LLMs integrated into your product with proper context management, fallbacks, and cost controls.
Custom ML Models
Domain-specific machine learning trained on your data — computer vision, NLP, classification, and forecasting.
AI Agents
Autonomous agents that complete multi-step tasks — research, data extraction, workflow automation, and decision support.
Recommendation Systems
Personalisation and recommendation engines for e-commerce, content platforms, and SaaS products.
AI-Powered Search
Semantic search, RAG pipelines, and intelligent document processing built for your specific data.
Intelligent Automation
AI that replaces repetitive manual work — document processing, data extraction, triage, and smart routing.
Who we work with
Built for founders, CTOs, and product leaders.
SaaS companies
Add AI features to existing products — copilots, smart summaries, semantic search, and intelligent routing.
E-commerce businesses
Product recommendations, demand forecasting, fraud detection, and customer service automation.
Healthcare companies
Clinical decision support, document processing, patient intake automation, and anomaly detection.
Fintech companies
Fraud detection, credit scoring, AML pattern recognition, and document verification.
Enterprise teams
Internal knowledge management, process automation, and intelligent document workflows.
Non-technical founders
We evaluate where AI genuinely adds value and build it properly — no hype, no wasted budget.
Our process
How we deliver. Step by step.
Assessment
We evaluate where AI genuinely adds value vs. where it's hype. Not every problem needs ML. We identify the use cases with real ROI for your specific product.
Data Strategy
Good models need good data. We design your data pipeline, handle labeling strategies, and ensure you're building on a foundation that scales.
Model Development
We build, train, and fine-tune models for your specific domain — whether LLM integration, computer vision, or custom ML. Evaluated on real metrics, not toy benchmarks.
Integration
The model goes into your product — not a separate tool. We embed AI where it creates real workflow value, with graceful fallbacks for when it's uncertain.
Monitoring
AI in production drifts. We set up monitoring for model performance, data distribution shifts, and user feedback loops so quality holds over time.
Investment
An investment, not a line item.
AI is judged on return, not novelty. The right use case pays back in hours automated, decisions improved, or revenue unlocked — the wrong one burns budget on a demo. We scope for ROI first, then build. What an AI project takes depends on these factors.
How we work together
Fixed Scope
Well-defined projects
We agree the deliverables and price upfront. You get budget certainty; we carry the estimation risk.
Time & Materials
Evolving requirements
You pay for time spent, see working software every sprint, and change direction without renegotiating a contract.
Dedicated Team
Ongoing product work
A committed team works as an extension of yours, billed monthly, with full flexibility on what gets built.
What shapes your estimate
Use case complexity
A single classification feature is very different from an autonomous multi-step agent.
Data readiness
Clean, labelled data lowers cost; messy or missing data means pipeline work first.
Model approach
Using a hosted LLM API differs sharply from training a custom model on your data.
Accuracy requirements
Higher stakes mean more evaluation, guardrails, and human-in-the-loop design.
Integration depth
Embedding AI into your product's core workflow versus running it as a standalone tool.
Monitoring & retraining
Production AI drifts — ongoing monitoring is part of the real cost, not an extra.
The only way to a real number is a real conversation. Tell us what you're building — we'll scope it and send a clear, itemised estimate. No obligation.
Get your estimateWhy DualTech Labs
Three things clients tell us matter most.
You own the code. Always.
Full source code ownership transfers on delivery. No lock-in, no licensing fees. Take it to any team at any point.
One team, start to finish.
Design, engineering, and QA under one roof. No handoffs, no miscommunication between agencies.
Real demos every two weeks.
You see working software from sprint one. No black-box delivery. No surprises at the end of a long engagement.
FAQ
Common questions. Direct answers.
Start with a conversation.
Tell us what you're building. We'll scope it, tell you exactly how we'd approach it, and give you a clear estimate — no commitment, no agency fluff.