01 / RAG
Retrieval-augmented generation
Build an AI that knows your company — pricing, SOPs, product docs, past tickets. Pinecone, Chroma or FAISS. Evaluated and monitored.
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Real AI features.
Service · 04 · AI · GenAI · Agents · CV
Real AI features.
Inside your real product.
RAG systems, workflow agents, computer vision and document AI — engineered into your product, not bolted on. We've already built AI for sign-language translation, voice-driven form filling and enterprise document workflows. Whatever your AI feature is, we've probably shipped its cousin.
What we build
Four practices
Four practices
we keep coming back to.
Each one is a body of work — refined across many client engagements. We don't do every kind of software. We do these well.
02 / AGENTS
Workflow agents & automations
AI that drafts the follow-up, summarises the meeting, files the report, processes the document. Then waits for approval. Then ships.
03 / VISION
Computer vision & OCR
Real-time gesture detection (we built one), document OCR, quality-control on a production line. CV that works on the floor.
04 / VOICE & MM
Voice & multimodal AI
Voice-driven interfaces, real-time transcription, multimodal chat. Hands-free forms, voice assistants for the field team.
Why YSM for this
Six reasons clients
Six reasons clients
stop shopping around.
We don't compete on price. We compete on the part most agencies skip — staying involved past launch and shipping software that gets used.
Production builds — not demos
Cost & latency optimised from day one
Evaluation harnesses before features
Vendor-agnostic — OpenAI, Anthropic, OSS
Guardrails, jailbreak resistance, audit logs
Built by the team running YSM's AI Transformation
The Sign AI platform translates hand gestures to text and voice in real time. That's the kind of AI work we do for production — not for a demo reel.
— YSM AI portfolio
From the AI portfolio
How we work
Four steps.
Four steps.
Every engagement.
From a one-line problem statement to working software your team uses every day — these are the four beats.
01
USE CASE
Pick the right place
Not every problem deserves AI. We start by ruling out the eight where it won't help — then doubling down on the two where it will.
02
PROTOTYPE
Eval first, ship next
Build a thin prototype. Define what 'good' looks like in numbers. Iterate against eval. Then scale.
03
PRODUCTION
Guardrails & observability
Cost monitoring, prompt versioning, output review, fallback chains, jailbreak resistance — the unglamorous bits that make AI safe to scale.
04
OPERATE
Iterate forever
Models change every month. Costs change every quarter. We keep your AI features current, performant and economical.
Start with a problem
Tell us the workflow.
Tell us the workflow.
We'll tell you if AI will help.
Sometimes the answer is no. When it's yes — we scope the smallest first AI feature you can ship inside your product in 4–6 weeks.