AI-native software agency · Singapore
Build at 10x. Spend half.
Turing Labs is an AI-native software agency. Senior engineers direct AI systems that design, build, and ship production software — from idea to launch in weeks, at up to 50% lower delivery cost.
0x
Delivery speed
AI systems accelerate every stage of the build
0%
Lower delivery cost
versus traditional agency engagements
0%
Production-grade
senior engineers own every line that ships
MODE: BUILD
Product Delivery
End-to-end product builds: senior engineers directing AI systems from spec to production in weeks.
MODE: ADVISE
Consulting
AI system design, architecture reviews, LLMOps, MLOps, and platform strategy.
MODE: TEACH
Training
In-person, hands-on AI and full-stack programs focused on real systems, not slides.
Built by engineers with 10+ years across
What we do
An AI-native delivery pipeline
Senior engineers set the architecture, AI systems accelerate the build, and every engagement ends with something your team can run without us.
AI-Native Product Delivery
A working product answers questions a proposal never will.
- Idea to production in weeks, not months
- Senior engineers direct the AI build pipeline
- Clear success and stop criteria
- Handoff-ready code your team owns
AI Consulting
Make the architecture decisions you can't undo later — correctly, the first time.
- System architecture and design
- LLM integration and orchestration
- Data pipelines and observability
- Security, governance, and assurance
Training & Enablement
Your engineers, working on real systems — not watching slides about them.
- Full-stack + AI programs
- Corporate team upskilling
- Rapid prototype workshops
- Certification-style outcomes
Solutions
Problem spaces we work in
Concrete problems we solve — described by domain, never by client.
AI Knowledge Systems
Semantic search, RAG pipelines, and enterprise document intelligence.
Computer Vision & Analytics
Pose estimation, human performance analytics, and workflow optimisation.
Speech & Language Systems
Real-time transcription, language understanding, and decision support.
End-to-End AI Platforms
Frontend, backend, APIs, and AI services with production-ready architecture.
Casework
Selected engagements
No logos, no names — our clients' work stays theirs. Domain and outcome only.
challenge
Manual clinical workflows causing high error rates and delayed processing.
approach
AI-assisted system with human-in-the-loop validation, integrating vision and language services.
outcome
60% reduction in processing time with improved accuracy and clear production roadmap.
challenge
Fragmented data sources preventing real-time situational awareness.
approach
Unified AI platform with secure data pipelines and intelligent document processing.
outcome
Consolidated intelligence feeds with sub-second query response times.
challenge
Legacy systems blocking AI adoption and modernisation efforts.
approach
Incremental migration strategy with API-first architecture and LLM integration.
outcome
Successful pilot deployed in 8 weeks, scaled across organisation.
About
Engineers first, consultants second
Turing Labs was founded by a software engineer with over 10 years of experience across defence-grade systems, medical workflows, startups, and enterprise platforms.
Having led teams, designed complex architectures, and delivered AI systems end-to-end, we understand what it takes to move from concept to production — and what makes systems fail.
We are passionate about building systems that are useful, secure, and maintainable.
Operating principles
From the lab
Field notes
Practical perspectives on AI engineering, deployment, and strategy from our client work.
How to Evaluate AI Coding Agents Before They Touch Production
Benchmark scores like SWE-bench tell you less than you think. Here is the evaluation stack we recommend — public benchmarks, private evals on your own codebase, and hard rollback guardrails — before an AI coding agent's output ships to production.
Generative Engine Optimisation (GEO): How to Win AI Search in 2026
AI answer engines like ChatGPT, Perplexity and Google AI Overviews now decide which companies get recommended — and they cite only a handful of sources per answer. Here is what replaces classic SEO tactics, backed by the research, and a practical 90-day plan to get your firm cited.
Human-in-the-Loop at 10x Speed: AI Code Review Best Practices
AI has made code generation nearly free, which makes review the real constraint. Here is the 2026 playbook for keeping a named senior engineer accountable for every merge: risk-tiered review, capped pull requests, machine first passes, and instrumented quality gates.
Contact
Tell us the problem
Describe what you're trying to solve. We'll tell you honestly whether AI makes sense — and what it would take to prove it.
hello@turinglabs.sg