AI services & solutions · est. 2019
Set a clear course for AI in your business.
AIYatch designs and builds AI systems that pay for themselves (conversational assistants, autonomous agents, LLM integrations and analytics) with the strategy, engineering and honesty to turn ambition into measurable outcomes.
Trusted by teams at
What we do
Sixteen AI services. One senior team.
Full-stack AI transformation services, from AI agents and RAG systems to automation, multimodal AI, computer vision and enterprise integrations.
Conversation & customer experience
Automation & agents
Knowledge, language & data
Build, deploy & strategy
Solutions
Start from the problem, not the technology.
Outcome-first packages that combine our services around a job to be done: support automation, lead qualification, document processing, knowledge search and more.
AIYatch in one paragraph
Production AI, end to end, by one senior team.
AIYatch is an AI-services agency that designs, builds and operates production AI systems for businesses worldwide: voice and conversational AI, AI agents and workflow automation, LLM and RAG applications, computer vision, predictive analytics and the MLOps to run them, delivered by a senior team founded in 2019 and measured on the business metric agreed in discovery.
- Founded
- 2019
- Services
- 16
- Clients
- Worldwide
Selected work
Outcomes, not demos.
A selection of engagements across e-commerce, SaaS, finance and healthcare.
Why AIYatch
Senior people, honest engineering, measurable results.
AI specialists, end to end
Strategy, data, models and software under one roof, with no hand-offs between agencies.
Measured on your metric
Success criteria are agreed in discovery and reported against in every review.
Production, not prototypes
Tests, monitoring, documentation and handover are part of every build.
Model-agnostic and safe by design
OpenAI, Anthropic or open models, chosen for your data, cost and compliance needs.
Development partner
Need senior AI engineers inside your team? Augment, don't recruit.
Embed vetted AI/ML, LLM and full-stack engineers into your team in days, with overlapping hours, clear IP terms and the freedom to scale up or down.
- Senior AI/ML, LLM & full-stack engineers
- Start in days, scale up or down monthly
- Overlapping hours, async by default
- NDA-first, IP assigned to you
Industries
Sector experience that shortens discovery.
The tools are similar; the data, regulations and outcomes are not. Here is how we apply our sixteen services in the sectors we know best.
How we work
A five-step process, from first call to steady state.
- 01
Discover
A focused discovery sprint: goals, data, systems and constraints. Output: a ranked opportunity list and a proposal with scope, timeline and success metrics.
- 02
Design
Solution architecture, model and tool selection, data flow and security design. Prototypes where the risk is technical; wireframes where it is human.
- 03
Build
Iterative delivery in short cycles with demos every one to two weeks. Tests, documentation and evaluation sets are part of the definition of done.
- 04
Validate
Measured against the success metrics from step one (accuracy, latency, cost, adoption) with real users before full rollout.
- 05
Operate
Monitoring, retraining, model upgrades and quarterly reviews. We hand over cleanly or stay on as your AI team.
Model-agnostic stack
We choose the model and tools that fit your data, budget and compliance.
OpenAI, Anthropic, Gemini or open models; Pinecone or pgvector; AWS, Azure or on-prem. We choose per use case and document why.
Model-agnostic: frontier APIs when quality matters, open models when data residency or cost at scale matters.
Anthropic Claude
Google Gemini
Meta Llama
Mistral
DeepSeek
Hugging Face
Ollama
LangChain
LangGraph
OpenRouter
Gradio
Streamlit
Ways to work together
Start small, scale on evidence.
Discovery sprint
Two to three weeks to define the highest-value AI opportunity and de-risk it. Fixed price.
Project delivery
Scoped build with milestones and demos. Fixed price or capped time-and-materials.
AI team on retainer
Ongoing capacity for roadmap delivery, operations and improvement.
Client reviews
What it's like to work with us.
The support assistant now handles the bulk of first-line questions and hands over cleanly when it should. Our team finally has time for the complex cases, and the weekly evaluation report means we can see exactly where it still gets things wrong.
What we valued most was the honesty: a clear baseline, a model card, and a number we could take to the board. When one of our ideas would not have worked, they said so in the first week rather than after the invoice.
They mapped our processes before proposing any AI. The automation that came out of it removed hours of manual work every week, and the exception queue meant our team stayed in control from the very first day.
Demo gallery
See the systems, not just the slides.
Screens and short walkthroughs from systems we've built (placeholders until real demos are added).
Insights
Practical writing from a team that ships.
Practical writing on conversational AI, agents, LLM integration and analytics, from a team that ships them.
Security & trust
Enterprise-grade practices, studio-sized team.
Fixed-price discovery
Discovery sprints are quoted as a fixed fee with a defined output: ranked opportunities, an architecture sketch, a delivery plan and a costed proposal. If the outcome is “AI is not the right tool here”, we say so, and you keep the analysis.
Weekly working demos
You see running software every week, not slides. Priorities can change between iterations, and there is never a long silence followed by a surprise. Progress, risks and evaluation results are written up in a weekly update you can forward internally.
You own the code and models
Everything we build (code, prompts, fine-tuned weights, evaluation sets and documentation) is delivered in your repositories and accounts under your ownership. Hand-over includes runbooks and pairing sessions so your team can maintain and extend it.
No lock-in
We use mainstream, well-documented tools and design the model layer to be swappable. There are no proprietary platforms, no exclusive licences and no minimum term beyond the agreed scope. Staying with us after launch should be a choice, not a necessity.
Questions we hear a lot
With a free consultation, then usually a two-to-three-week discovery sprint that produces a ranked opportunity list, an architecture sketch and a fixed-price proposal.
Yes. Most of our clients are in Europe, North America, the Middle East and Australia. We work in overlapping hours and communicate asynchronously by default.
You do. Everything we build is delivered in your repositories and cloud accounts, with documentation your team can maintain.
Data-processing agreements, least-privilege access, no-training API tiers or private model hosting, and a documented data-flow diagram for every project.
Discovery sprints are fixed price; delivery projects are scoped after discovery. We give ranges early so nobody wastes time.
Absolutely. We can lead, embed, or advise. Many clients pair one of our specialists with their in-house team.
Ready to chart your AI course?
A free 30-minute consultation: we listen, ask hard questions and tell you honestly where AI will and won't help.