AI Product Development

Build AI-powered products people actually use

We turn AI ideas into reliable products — validated quickly, engineered properly and designed around real user workflows, not demos.

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Since 2014
Full code & IP ownership
NDA on request

In-app copilot

Create a proposal for Acme Corp

Draft ready: scope, timeline and pricing based on your last 3 proposals.CRMtemplates

Model benchmark

Claude92%

GPT90%

Llama81%

Launch checklist

Prototype

Evals

Launch

MVP in productionGuardrails + monitoring

Overview

From AI idea to production product

Large language models and modern machine learning make entirely new products possible — but the gap between an impressive demo and a product customers trust is large. It needs the right use case, good data, careful prompt and model design, guardrails, cost control and a great user experience.

We help founders and product teams go from concept to launch: we validate the idea with a working prototype, choose the right models, build the application around them and set up the evaluation and monitoring that keep quality high after launch.

AI Product Development at a glance

AI MVPs & prototypesWorking prototypes in weeks to validate value with real users before you invest in the full…
AI-native SaaS platformsMulti-tenant products with AI at the core — accounts, billing, usage limits and admin consoles…
Copilots & assistantsIn-app assistants that understand your product’s data and help users complete tasks faster.
Document & knowledge productsSearch, summarisation and Q&A over contracts, manuals, research and other large document sets.

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What we offer

What we build

From prototype to production — without the guesswork

AI MVPs & prototypes

Working prototypes in weeks to validate value with real users before you invest in the full product.

AI-native SaaS platforms

Multi-tenant products with AI at the core — accounts, billing, usage limits and admin consoles included.

Copilots & assistants

In-app assistants that understand your product’s data and help users complete tasks faster.

Document & knowledge products

Search, summarisation and Q&A over contracts, manuals, research and other large document sets.

Voice & multimodal apps

Speech-to-text, voice agents and image understanding built into web and mobile experiences.

Recommendation & personalisation

Recommendations, ranking and personalised content based on user behaviour and preferences.

Capabilities

Engineering for reliable AI

Engineering depth that keeps your product fast, secure and easy to evolve.

Use-case discovery and feasibility assessment
Model selection across OpenAI, Claude, Gemini and open-source models
Retrieval-augmented generation (RAG) over your own data
Prompt design with versioning and automated evaluation
Structured outputs and function / tool calling
Guardrails for safety, privacy and off-topic requests
Streaming responses for fast, responsive UX
Cost control with caching, routing and token budgets
Human feedback loops to improve quality over time
Usage analytics and quality monitoring dashboards
Web, Android and iOS front ends
Secure, scalable cloud deployment

Our approach

How we think about every project

Strategy first

We start with your business goals, users and constraints, and turn them into a clear scope, architecture and roadmap before writing code.

Solid engineering

Clean architecture, code reviews, automated tests and secure coding practices keep your product fast, stable and easy to extend.

Predictable delivery

Short sprints, regular demos and transparent communication mean you always know what is done, what is next and what it costs.

Technology

The stack we use

Proven, well-supported technologies chosen for your requirements.

OpenAI GPT
Anthropic Claude
Google Gemini
Llama
Mistral

How we work

A clear process from idea to launch

STEP
Discovery
Define the problem, users, success metrics and whether AI is the right tool for it.
STEP
Prototype
Build a working prototype with real data to test quality and user value quickly.
STEP
Evaluate
Create test sets and evaluation criteria so quality is measured, not guessed.
STEP
Build the product
Engineer the full application — UX, backend, integrations, security and billing.
STEP
Launch
Release with monitoring, guardrails and cost controls in place.
STEP
Improve
Use feedback and analytics to refine prompts, models and features continuously.

Testimonials

Trusted by founders and growing businesses

What clients say about working with Web Carving.

We interviewed shops in many countries, and finally we got some professional help in making a decision. We decided to go ahead with Webcarving in India. It is really the best decision we have made so far for the business.

Mike BozorgiCTO, OrcaParts

01 / 07

Deliverables

What you get

Validated AI prototype
Production-ready application and source code
Prompt library and evaluation test sets
Monitoring and usage dashboards
Architecture and model documentation
Roadmap for the next iterations

Frequently asked questions

How quickly can we test an AI product idea?

A focused prototype using your real data usually takes a few weeks. It shows whether the idea delivers value before you commit to a full build.

Which AI model should we use?

It depends on quality, speed, cost and data-privacy needs. We benchmark several models — commercial and open-source — on your actual tasks and recommend the best fit.

Will our data be used to train public models?

No. We use enterprise API terms or self-hosted models where required, so your data is not used to train third-party models.

How do you keep AI answers accurate?

With retrieval over trusted data, structured prompts, automated evaluations, guardrails and human review where it matters.

Keep exploring

Have an idea? Let’s build it together.

Tell us about your project and get a free consultation with a clear plan, timeline and estimate.

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