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🛠️ Built for your problem, not a template

When nothing off the shelf fits, we build it.

Custom AI applications designed around your actual workflow — the model work, the integrations, the interface your team uses and the infrastructure it runs on, delivered by one team from prototype to production.

AnyAI problem considered
YoursCode, prompts and data
500+Projects delivered
What you get

One team, whole build

  • Prototype first, so you see it early
  • Model, backend, interface and hosting
  • You own everything we write
  • Support after launch, not just delivery
Book a Free Consultation
The problem we solve

Your problem doesn't match anyone's product

Generic tools cover the common 80%. The part that actually differentiates you is usually the part nothing supports.

🧱

SaaS almost fits

You end up rebuilding your process around the tool instead of the reverse.

🔬

Prototypes stall

A promising notebook demo that nobody can turn into something usable.

🧵

Too many suppliers

A data person, an app developer and a DevOps contractor who each blame the others.

Complete range of solutions

What a build includes

Everything needed to get from idea to something your team relies on daily.

Discovery & scopingFeasibility assessed honestly, up front
PrototypeA working version in weeks, not months
Model selectionThe right model — or a fine-tuned one
Application buildBackend, frontend and database
IntegrationsYour existing systems connected
EvaluationMeasured against real cases, not vibes
DeploymentCloud or on-premise, monitored
Support & iterationImproved once real users touch it
Tools & technology

We work in proven, professional tools

The platforms and tools our specialists use to deliver reliable results.

OpenAIClaudeGeminiPythonPyTorchLangChainFastAPIReactPostgrespgvectorAWSDocker
Our proven process

A clear, reliable way of working

Six simple steps so the work is accurate, consistent and delivered on time.

1

Understand

The problem and what success means.

2

Feasibility

Whether AI is right — we will say if not.

3

Prototype

Something you can click within weeks.

4

Build

Production system, tested and integrated.

5

Evaluate

Measured on real cases before launch.

6

Run

Deployed, monitored and improved.

Why Talk For Web

A partner you can rely on

Dependable delivery, real accountability and a team that treats your work as its own.

🏆

16+ years experience

A seasoned team that has supported 120+ clients and 500+ projects worldwide.

🎯

Accuracy-obsessed

Clear specs, validation and multi-step QA on every batch we deliver.

🔒

NDA-backed & secure

An NDA is signed before any access; secure, confidential handling throughout.

Built to scale

Ramp a trained, dedicated team up or down to match your workload.

🌍

Built for global teams

Working comfortably across USA, UK, AU, CA & UAE time zones.

🔁

Flexible & scalable

Scale up when busy, down when quiet — no long contracts.

★★★★★

"We had been told by two agencies that what we wanted was not possible. They built a prototype in three weeks that proved it was, then shipped the real thing. It now runs a core part of our operation."

FR
Felipe RamosFounder · 🇧🇷 Brazil
Questions

Custom AI Applications FAQs

Everything you might want to know before getting started.

What kinds of AI application do you build? +
Document and language systems, classification and prediction, recommendation, forecasting, computer vision, and agentic systems. If it is unusual, tell us — we will assess it properly rather than saying yes to everything.
Do we own the result? +
Yes. Code, prompts, fine-tuned models and data are yours, in your repositories and your cloud accounts.
What if AI turns out to be the wrong tool? +
We will tell you during feasibility. Sometimes the honest answer is a database query, better process or conventional software — saying so early is cheaper for everyone.
Can you work with our developers? +
Yes. We regularly build alongside in-house teams, or hand over with documentation for them to run it.
How much does a custom build cost? +
It depends on scope, so we quote after discovery. Prototypes are deliberately small and fixed-price so you can judge before committing to the full build.
How long from start to production? +
Prototype in 3-5 weeks; production typically 8-16 weeks depending on integrations and compliance requirements.

Describe the problem — we'll tell you if AI solves it

Including when it doesn't. Related: SaaS product development and agentic AI.

💬 Ask AI