Grapine · AI Studio
An independent AI studio. We run a small number of consulting engagements for businesses implementing AI — and we build focused AI products alongside that work.
4+
AI products
25y
experience
1
AI patent
MSFT
+ Accenture
Services — for businesses
For any business that knows AI should be helping them — and wants to know exactly where to start.
3–4 days inside your firm. We identify your top AI opportunities, score them by impact, and give you a report specific enough to build from.
No pitch. No commitment.
Workflow automations, document pipelines, custom AI assistants. Built in 4-week sprints. Working software, not strategy decks.
Need help shipping production AI?
Products — for technical teams
All productsFour focused products for teams building with AI. Each one came from a real problem we hit while building systems for clients — with more in the pipeline.
Garbage collection for LLM context windows
Keeps the right tokens in context and removes the noise — without losing reasoning quality. Cut token spend without cutting performance.
Adversarial prompt testing framework
Test prompts against each other before they hit production. Find where your prompts fail before your users do.
Competitive intelligence for AI-native teams
Monitor competitor moves, track AI product launches, and surface intelligence before it becomes common knowledge.
AI-powered engagement and response tooling
Handle high-volume responses at scale without losing quality or voice. Built for teams managing AI-assisted communication workflows.
From the build
All postsEvery business we've audited has come in with a theory about where AI will save them the most time. Every single one has been surprised by what the data showed instead. Not because they were wrong to think AI could help. They were right about that. They were wrong about where. This is more common than people admit, and more expensive than people realise. Getting the diagnosis right before building anything is the difference between an AI investment that pays back in 30 days and one that costs
Before we automate anything, we sort every task in a business into one of three buckets. The bucket determines whether AI can help, what kind of help it gives, and whether the ROI is real or something that sounded good in a meeting. Most businesses skip this step. They see a demo, something impressive happens, and the question becomes: can we use this here? The better question is: what are we actually trying to do, and where does AI make that faster without making it worse? The answer is rarel
Product updates, implementation notes, and occasional thinking on where AI is actually going. No newsletters that feel like newsletters.
Get in touch
Consulting enquiries, product questions, partnership conversations, or just feedback — this is the right place to start.
Write to us