AI-first products
New products built around an AI capability, such as analysis, recommendations or assistants.
Who it’s for
Who this is for and the problems it solves
Typical clients
- Founders and product teams launching a new AI-based product
- Businesses that need an internal tool no off-the-shelf product covers
- Organisations replacing a manual process with a dedicated application
- Teams with a working prototype that needs to become a production system
Common problems
- An idea needs to be tested quickly before a larger investment
- Off-the-shelf tools don’t fit the workflow or data
- A prototype works in a demo but not reliably for real users
- There’s no in-house team to build and run the product
Use cases
What we can build
Examples of our capabilities, not descriptions of specific client projects.
Internal tools
Applications that combine your data, AI and a workflow your team uses daily.
Customer portals
Web or mobile apps that give your customers self-service with AI support.
Prototype to production
Hardening an existing prototype with testing, monitoring and proper infrastructure.
Scope
Scope, deliverables and what we need from you
What we deliver
- Product discovery, user flows and design
- Clickable prototype or working proof of concept
- Web and/or mobile application and back end
- AI features with evaluation and monitoring
- Deployment, CI/CD and environments
- Documentation, handover and optional ongoing support
Data & integration requirements
- The users, workflows and goals the application must serve
- Any existing designs, prototypes or code
- Data sources and systems the app connects to
- Brand guidelines and hosting preferences
Delivery
How we deliver and evaluate
Discovery
Understand the workflow, the data and what success looks like. Agree scope and measurable targets.
Prototype & evaluate
Test the approach on a sample of your data against agreed criteria before a full build.
Build & integrate
Develop, connect to your systems and test with your team, with regular demos.
Deploy & support
Release to your chosen environment, hand over documentation and agree ongoing support.
We agree success criteria for each release, test AI features against evaluation sets, and run user testing before launch. Delivery is in short iterations with regular demos.
Evidence
Relevant work
Kubit’s product
BioHarmony
Our own preventive-care AI platform, including internally trained models. MVP stage, with some features live and others in QA, beta or planned.
Client project
FreedomAmbassador
An ecommerce platform built for a US-based NGO.
Client project
Hillside House
An accommodation platform built for a client in Portugal.
Options
Ownership, deployment and support
Ownership
Ownership of the code, prompts, evaluation sets and any model weights we produce for you is agreed in the statement of work, subject to the licences of any third-party models or components used.
Deployment
Your own cloud account (AWS, Azure or Google Cloud), your on-premises environment, or hosting managed by Kubit’s.
AI models
Hosted models from major providers, open-source models run in your environment, or models fine-tuned on your data, chosen per use case for accuracy, cost and data handling.
Support
Post-launch support and maintenance are agreed per project, including monitoring, updates and response times.
FAQ
Questions about this service
Can you start from our existing prototype?
Yes. We review it first and recommend what to keep, refactor or rebuild.
Do you design as well as build?
Yes. We cover product discovery, UX and UI design, as well as engineering.
What happens after launch?
We can hand over to your team with documentation, or agree an ongoing support and development arrangement.