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AI Development Company

AI Development Company

Most apps don't need AI. Some do.
We'll help you tell the difference.

AI is everywhere now — in pitch decks, product roadmaps, investor conversations. The pressure to add "AI features" is real. But the gap between AI hype and AI that actually ships value is enormous.

We'll also tell you when AI isn't the answer. Sometimes a well-designed filter beats a recommendation engine. Sometimes a rules-based workflow outperforms a language model. We've seen too many teams add AI because they could, not because they should.

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WAYF is an AI development company with 40+ specialists that builds practical AI features into real products. Not research demos. Not investor prototypes. Working capabilities that survive contact with production traffic. We've integrated AI across 100+ product launches since 2020.

WAYF is an AI development company with 40+ specialists that builds practical AI features into real products. Not research demos. Not investor prototypes. Working capabilities that survive contact with production traffic. We've integrated AI across 100+ product launches since 2020.

WAYF is an AI development company with 40+ specialists that builds practical AI features into real products. Not research demos. Not investor prototypes. Working capabilities that survive contact with production traffic. We've integrated AI across 100+ product launches since 2020.

WAYF is an AI development company with 40+ specialists that builds practical AI features into real products. Not research demos. Not investor prototypes. Working capabilities that survive contact with production traffic. We've integrated AI across 100+ product launches since 2020.

WAYF is an AI development company with 40+ specialists that builds practical AI features into real products. Not research demos. Not investor prototypes. Working capabilities that survive contact with production traffic. We've integrated AI across 100+ product launches since 2020.

WAYF is an AI development company with 40+ specialists that builds practical AI features into real products. Not research demos. Not investor prototypes. Working capabilities that survive contact with production traffic. We've integrated AI across 100+ product launches since 2020.

AI That Ships vs. AI That Demos

There's a specific kind of project that fails: the AI proof-of-concept that never becomes a product.

It works in staging. The demo is impressive. Everyone's excited. Then reality hits. Latency is too high. Costs per query blow up the unit economics. Edge cases produce outputs you can't show customers. The model hallucinates in ways that create liability.

We build AI features designed for production from day one. That means thinking about:

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Latency Budgets

Users won't wait three seconds for a response. We architect for speed — caching, streaming, model selection based on response time requirements.

Users won't wait three seconds for a response. We architect for speed — caching, streaming, model selection based on response time requirements.


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Latency Budgets

Users won't wait three seconds for a response. We architect for speed — caching, streaming, model selection based on response time requirements.

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Cost at Scale

GPT-4 is impressive but expensive. Often a fine-tuned smaller model or a clever prompt chain delivers 90% of the quality at 10% of the cost. We optimize for your margins, not OpenAI's.

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Cost at Scale

GPT-4 is impressive but expensive. Often a fine-tuned smaller model or a clever prompt chain delivers 90% of the quality at 10% of the cost. We optimize for your margins, not OpenAI's.

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Failure Modes

What happens when the model returns garbage? When the API times out? When usage spikes beyond rate limits? We build fallbacks and graceful degradation because AI systems fail in ways traditional software doesn't.

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Failure Modes

What happens when the model returns garbage? When the API times out? When usage spikes beyond rate limits? We build fallbacks and graceful degradation because AI systems fail in ways traditional software doesn't.

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Human Oversight

Some AI outputs need review before reaching users.
We design workflows that keep humans in the loop where stakes are high.



Teams stuck on aging Cordova or early React Native versions.
We migrate, upgrade, and stabilize without starting from zero.


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Human Oversight

Teams stuck on aging Cordova or early React Native versions. We migrate, upgrade, and stabilize without starting from zero.

How We Work

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AI projects need tighter feedback loops. Models behave differently in production than in testing. We ship working AI features early, demo them weekly, and iterate based on what real data reveals. If something hallucinates in ways you can't ship, you'll know before your users do.

How We Work

✦

AI projects need tighter feedback loops. Models behave differently in production than in testing. We ship working AI features early, demo them weekly, and iterate based on what real data reveals. If something hallucinates in ways you can't ship, you'll know before your users do.

What We Build

LLM-powered features. Chat interfaces, content generation, document analysis, summarization. We integrate OpenAI, Anthropic, and open-source models — choosing based on your requirements, not our partnerships.

Intelligent search. Semantic search that understands intent, not just keywords. RAG systems that let users query your proprietary data through natural language.

Recommendations and personalization. Products that learn what users want. Feeds that surface relevant content. Suggestions that feel helpful rather than creepy.

Automation and workflows. AI agents that handle repetitive tasks. Document processing pipelines. Classification systems that route requests without human intervention.

Voice and conversation. Transcription, voice interfaces, conversational AI. We've built platforms with real-time audio processing serving thousands of concurrent users.

The Stack Matters Less Than You Think

Founders ask: "What AI framework do you use?" The honest answer: whichever one solves your problem.

OpenAI

For general-purpose language tasks where quality matters most. Anthropic when you need longer context or particular safety properties. Open-source models when you need to run on-premise, control costs, or fine-tune for your domain.

LangChain

When orchestration complexity justifies it. Raw API calls when it doesn't. Vector databases for retrieval. Traditional databases when vectors are overkill.

How AI fits with your existing product

We're a React and React Native shop at our core. That means AI features integrate seamlessly into modern web and mobile architectures — not bolted-on microservices that create operational overhead. Same codebase, same team, same deployment pipeline.

We're not religious about tools

We're religious about outcomes. The best AI architecture is the simplest one that works.

What AI Development Actually Costs

AI for your existing product

$15,000-$50,000

chat | summarization | content generation

AI for your existing product

$15,000-$50,000

chat | summarization | content generation

AI-native product from scratch

$40,000-$100,000

AI as the core, not a feature

AI-native product from scratch

$40,000-$100,000

AI as the core, not a feature

Enterprise AI systems

$100,000-$300,000+

custom pipelines | fine-tuned models | compliance requirements

Enterprise AI systems

$100,000-$300,000+

custom pipelines | fine-tuned models | compliance requirements

Ongoing AI operations

$5,000-$15,000/month

monitoring | prompt iteration | cost optimization

Ongoing AI operations

$5,000-$15,000/month

monitoring | prompt iteration | cost optimization

For Enterprise Teams

AI with guardrails

We've deployed AI features under SOC 2, HIPAA, and GDPR constraints. That means data handling policies, comprehensive audit logging, and architectures that keep sensitive information where regulators expect it. When data can't leave your infrastructure, we deploy open-source models entirely within your environment --- no API calls to third-party providers, no data leaving your VPC.

We've deployed AI features under SOC 2, HIPAA, and GDPR constraints. That means data handling policies, comprehensive audit logging, and architectures that keep sensitive information where regulators expect it. When data can't leave your infrastructure, we deploy open-source models entirely within your environment --- no API calls to third-party providers, no data leaving your VPC.

The Uncomfortable Questions We'll Ask

Do you actually need AI?

What's the fallback?

Who's responsible for outputs?

What's your data story?

Can you afford this at scale?

Based in Poland, delivering globally.

Let's talk

Maybe AI is the right call for your product. Maybe it isn't. A 25-minute conversation will give us both clarity. We'll discuss your use case and give you an honest read on feasibility, approach, and whether we're the right team.

Work With Us

Book a 25-min Call

Let's talk

Maybe AI is the right call for your product. Maybe it isn't. A 25-minute conversation will give us both clarity. We'll discuss your use case and give you an honest read on feasibility, approach, and whether we're the right team.

Work With Us

Book a 25-min Call

Let's talk

Maybe AI is the right call for your product. Maybe it isn't. A 25-minute conversation will give us both clarity. We'll discuss your use case and give you an honest read on feasibility, approach, and whether we're the right team.

Work With Us

Book a 25-min Call