AI Integration. Startups
AI integration for startups, from audit to production, not slide decks
We help startups stand out with exceptional digital experiences. We audit your operations for AI opportunities, build a strategy that makes commercial sense, and implement working systems that deliver measurable results. No theoretical roadmaps. Production AI that runs reliably and pays for itself.
AI that actually ships
Most AI consultancies produce slide decks. We produce working software. Not theoretical, not proof-of-concept, but production systems that run reliably without hand-holding. We've built document processing pipelines, intelligent search systems, and automated workflows that handle thousands of operations daily. If your AI strategy lives in a PowerPoint, it's not a strategy. It's a wish list.
Strategy meets engineering
We combine strategic thinking with hands-on technical execution. That means we don't just tell you where AI could add value. We build the thing. RAG pipelines for knowledge retrieval, LLM integrations for content generation and classification, vector databases for semantic search, and custom agents for complex workflows. Every recommendation comes with an implementation plan, a realistic timeline, and a team that can actually deliver it.
Built for measurable ROI
Every AI project we take on starts with a clear commercial case. We quantify the time, cost, and error rate of your current process, then build an AI system that demonstrably improves those numbers. No vanity metrics, no impressive-sounding demos that never make it to production. We track hours saved, errors eliminated, and revenue generated, and we report on them transparently so you always know what your investment is delivering.
Built for startups
We understand the unique challenges facing startups, the competitive landscape, the audience expectations, and the operational realities that shape digital decisions. Our work is tailored to your industry's specific needs, not adapted from a generic template. We've delivered results for businesses in your space, and we bring that experience to every project.
Singapore market data
Singapore Startups website landscape
Tech stack breakdown
Common issues we see
- Missing Open Graph and structured data for SEO
- No clear conversion funnel or CTA hierarchy
- Inconsistent brand application across pages
- Poor loading performance from unoptimised hero images
- Accessibility basics overlooked, missing alt text and contrast ratios
Our analysis
Singapore's startup ecosystem ships fast, and it shows. Most early-stage sites prioritise launch speed over performance, leaving significant SEO and conversion value on the table. The gap between well-funded Series A+ companies and bootstrapped startups is widening, those investing in proper web infrastructure early are capturing disproportionate organic traffic.
Based on our audit of 134 startups websites in Singapore. Last updated February 2026.
What's included
Everything you need, nothing you don't
AI Readiness Assessment
We audit your data, systems, and workflows to identify where AI creates genuine value, not where it sounds impressive on a slide.
Process Automation Audit
Mapping your most expensive manual processes and quantifying the ROI of automating them with AI.
LLM Integration
Integrating large language models into your products and workflows, including content generation, classification, summarisation, and intelligent search.
RAG Pipeline Development
Building retrieval-augmented generation systems that ground AI responses in your actual data, reducing hallucinations and increasing accuracy.
AI Product Strategy
Defining your AI product roadmap: what to build first, what data you need, and how to measure success.
Ongoing AI Support
Model monitoring, performance tuning, prompt engineering, and continuous improvement as your AI systems scale.
Our process
How we work
AI Audit
We assess your current operations, data infrastructure, and team capabilities to understand where AI fits and where it doesn't.
Opportunity Mapping
Identifying the highest-impact AI opportunities ranked by ROI, feasibility, and strategic fit.
Proof of Concept
Building a working prototype in 2–4 weeks that demonstrates real value with your actual data.
Production Build
Engineering the full solution, reliable, monitored, tested, and integrated with your existing systems.
Monitor & Iterate
Ongoing performance tracking, model updates, and iterative improvement based on real usage data.
Frequently asked
Questions we get asked
How much does AI integration cost?
AI projects typically start from £10,000 for a focused proof of concept. Full integration projects range from £25,000–£80,000 depending on complexity. We scope everything transparently after the initial audit.
How long does an AI integration project take?
A proof of concept takes 2–4 weeks. A full production integration typically takes 8–16 weeks depending on the complexity of your systems and data.
What data do we need to get started?
It depends on the use case, but we work with whatever you have. Structured databases, PDFs, emails, support tickets, CRM exports. We help you assess data quality and fill gaps before building.
Which AI tools and models do you use?
We're model-agnostic. We work with OpenAI, Anthropic, open-source models, and specialist providers depending on your requirements for cost, privacy, and performance. No vendor lock-in.
How do we measure ROI on AI?
We define measurable success metrics before building anything: time saved, cost reduced, accuracy improved, or revenue generated. Every project includes baseline measurement and ongoing tracking.