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AI solutions

Add intelligence to everything you build

AI product engineering, integration, agents and automation — built with GPT, Claude, Gemini and open-source models, and engineered for accuracy, privacy and cost.

  • Since 2014
  • Full code & IP ownership
  • NDA on request
AI assistant
Summarise last week’s tickets
312 tickets · top issue: delivery delays. Suggested fix: proactive updates.tickets.csv
Models
ClaudeGPTGemini
Qualityevals
Accuracy94%
Grounded97%
AI feature liveRolled out to 100%
Capabilities

AI capabilities we bring to your product

Practical AI features that save time, improve decisions and create better user experiences.

LLM features

Summaries, drafting, classification and natural-language interfaces inside your product.

Voice AI

Speech-to-text, voice commands and voice agents for apps and phone lines.

Document intelligence

Extract data from invoices, forms and contracts and answer questions over documents.

Workflow automation

AI-powered workflows that read, route and act on information across your systems.

Recommendations

Personalised products and content that increase engagement and sales.

Predictive analytics

Forecasts, churn prediction and anomaly detection from your data.

How we work

From audit to deployed AI

A proven path that proves value early and keeps quality measurable.

  1. STEP

    Opportunity audit

    We review your product, processes and data to find where AI creates real value.

  2. STEP

    Use-case selection

    Opportunities are scored by impact, feasibility and risk to pick the first project.

  3. STEP

    Prototype

    A working prototype on your real data proves quality before full investment.

  4. STEP

    Evaluate

    Test sets and metrics measure accuracy, safety, speed and cost.

  5. STEP

    Integrate & build

    We engineer the solution into your product or workflows with guardrails and fallbacks.

  6. STEP

    Deploy & monitor

    Launch with monitoring, cost control and continuous improvement.

Technology

Best-in-class AI tools

We work across leading models and frameworks — and choose what fits your use case, budget and privacy needs.

  • OpenAI GPT
  • Anthropic Claude
  • Google Gemini
  • Meta Llama
  • Mistral
Use cases

AI across industries

Examples of where AI creates value in the sectors we serve.

01

Healthcare

Appointment assistants, clinical note summaries and document extraction from reports and referrals.

02

Finance & Banking

KYC document checks, invoice processing, fraud signals and customer-support assistants.

03

Real Estate

Lead qualification bots, listing description generation and property recommendations.

04

Hospitality & Travel

Booking assistants, multilingual guest messaging and review analysis.

05

Education

AI tutors, auto-graded assessments, question generation and learning analytics.

06

Logistics

Delivery ETA prediction, route insights, document capture and customer updates.

Why Web Carving

A partner that ships, not just a vendor

The way we work is designed to keep your project predictable, transparent and moving.

Experience since 2014

We have been designing and building web and mobile products for startups and established businesses since 2014.

Direct communication

You talk directly to the project manager and engineers working on your product — no layers of account managers.

Full code & IP ownership

You own the source code, designs, documentation and accounts. Everything lives in your repositories.

Flexible engagement

Fixed-price projects for clear scopes, or a dedicated team billed monthly when requirements evolve.

Quality built in

Every sprint goes through code review and QA on real devices and browsers before it reaches you.

Long-term partnership

After launch we stay on for maintenance, upgrades and new features, so your product keeps improving.

FAQ

AI questions, answered

What businesses usually ask before starting an AI project.

Ask about your use case
Do we need our own data to use AI?

Not always. Many features work with pre-trained models plus your existing content. Custom predictions need historical data, which we assess first.

Which AI models do you work with?

OpenAI GPT, Anthropic Claude, Google Gemini and open-source models such as Llama and Mistral. We choose based on quality, speed, cost and privacy needs.

Is our data safe?

We use enterprise API terms so your data is not used for training, mask personal data where possible and can deploy models in your own cloud.

Can AI be added to our existing software?

Yes. Most AI features are integrated through APIs and background services without rebuilding your product.

How long does an AI project take?

A prototype typically takes a few weeks; production features and products follow in phases based on the results.

How do you prevent wrong answers?

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

Ready to put AI to work?

Book a free consultation: we review your product or process and suggest the AI use cases with the best return.