Custom AI Models Built Around Your Data
We design, train, and deploy machine learning models tailored to your specific business problem, not generic off-the-shelf tools. Clients get production-ready AI that integrates with their stack and measurably improves decision-making or automation.
Domain-specific accuracy
Models trained on your data consistently outperform general-purpose APIs on tasks that involve your specific terminology, formats, or user behavior.
Production-ready delivery
We hand off a containerized inference service with monitoring hooks, not raw model weights that your team then has to figure out how to deploy.
Transparent performance metrics
Every engagement includes agreed evaluation metrics upfront so you can objectively measure model quality before sign-off, with no ambiguity.
AI / ML Model Development
The outcome we're after
Most businesses sit on valuable data but lack the infrastructure or expertise to turn it into reliable predictions or automation. Generic AI APIs can handle surface-level tasks, but they break down when your domain has unique terminology, edge cases, or proprietary data patterns.
At Splicity, we start with a scoping session to define the exact prediction or classification task, then select the right architecture — whether that is a gradient-boosted tree, a transformer fine-tune, or a custom neural network. Every model is validated against held-out data before it touches production, and we build the serving layer alongside the model itself.
The result is a model that ships as a maintainable service, not a Jupyter notebook. Clients typically see measurable lifts in accuracy, reduction in manual review workload, or new automated capabilities that were previously impossible — all with clear performance baselines they can audit over time.
What we deliver
Key offerings
Why Splicity
Why teams choose us for this
A senior team, a fixed plan and long-term ownership — the things that decide whether a project actually succeeds.
One accountable team
Strategy, design, build and support handled end to end by senior people — not handed off and lost.
Fixed, transparent scope
A clear plan and estimate before any work begins. No open-ended billing, no surprises.
Built to scale & rank
Performance, security and SEO engineered in from day one — not bolted on at the end.
A long-term partner
We support, monitor and evolve what we build, so it keeps delivering value long after launch.
Our process
How we work
Discovery
We learn how you work, your goals and constraints.
Design & Build
We design the experience and engineer it to spec.
Test & QA
Automated and manual testing before anything ships.
Deploy
Smooth, low-risk releases on your infrastructure.
Maintain & Grow
Proactive support, optimisation and iteration.
FAQ
Frequently asked questions
How much labeled training data do we need to get started?
It depends on the task complexity, but many classification projects are viable with a few hundred to a few thousand labeled examples. We assess your existing data during scoping and, where volume is low, recommend active learning or data augmentation strategies to make the most of what you have.
Will the model keep working as our data changes over time?
Data drift is a real risk, which is why we include MLOps setup as part of delivery. This means automated performance monitoring and a documented retraining workflow so your model stays accurate as your business evolves, without requiring a full rebuild.
Can you fine-tune an existing large language model on our internal documents?
Yes. We work with open-weight models like Llama and Mistral as well as fine-tuning APIs from major providers. We will evaluate whether fine-tuning or retrieval-augmented generation is the better fit for your use case before committing to an approach.
What does the engagement look like from kickoff to deployment?
A typical project runs four to ten weeks depending on scope. It starts with a data audit and problem definition, moves through iterative model development with weekly reviews, then ends with integration, load testing, and a handover session covering monitoring and maintenance procedures.
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Tell us what you're building. We'll scope it and come back with a clear plan, timeline and estimate.