Solutions
Rescue & ReplaceScale My TeamBuild My MVPModernize & MigrateQA & TestingDesign & UXDevOps & InfrastructureAI Integration
Industries
E-Commerce & MarketplacesHealthcare & MedTechLogistics & Supply ChainFinTech & Real EstateHospitality & Events
Technologies
Ruby on RailsShopifyNext.jsPython & DjangoReactReact NativeVue.jsAI & Machine LearningAPI DevelopmentDevOps & DockerPostgreSQL
Our ModelCase Studies
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Add AI to your product in weeks, not months.

We integrate OpenAI, Azure AI, and custom ML models into existing products. Practical AI that solves real problems, not science projects.

Explore AI for your product
Sound familiar?

Problems we solve

You know AI could help, but don't know where to start

Proof of concept that never made it to production

Data scattered across systems

Vendors selling AI hype, not solutions

How we add AI to your product

01

AI feasibility assessment

We evaluate your product, data, and business goals to identify where AI creates real value, not where it sounds impressive. You get a prioritized list of opportunities with estimated effort and impact.

02

Prototype & validate

We build a working prototype in 2-4 weeks using your real data. You see actual results, measure accuracy, and decide whether to move forward before committing to a full build.

03

Production integration

We integrate the validated AI features into your existing product with proper error handling, fallbacks, monitoring, and cost controls. It ships as a seamless part of your product, not a bolt-on.

What you get

AI capabilities

Semantic Search

Natural language search that understands intent, not just keywords.

Intelligent Matching

AI-powered matching for jobs, products, content, or any domain-specific pairing.

Content Generation

Automated drafting, summarization, and personalization powered by LLMs.

Document Processing

Extract, classify, and structure data from PDFs, invoices, contracts, and forms.

Chatbots & Assistants

Conversational AI trained on your knowledge base for support, sales, or internal tools.

Recommendation Engines

Personalized suggestions that learn from user behavior and improve over time.

FAQ

FAQ

We work with OpenAI (GPT-4, embeddings), Azure AI, Anthropic Claude, open-source models like Llama and Mistral, and custom fine-tuned models. We pick the right model for your use case based on accuracy, cost, latency, and data privacy requirements.
It depends on the use case. For semantic search or recommendations, we need your existing content or product catalog. For document processing, we need sample documents. We start with whatever you have and build data pipelines to keep everything up to date.
We take data privacy seriously. We support on-premise deployments, private cloud hosting, and data anonymization pipelines. For regulated industries, we work within your compliance framework and ensure no sensitive data leaves your environment.
Our flat monthly model covers the engineering work. AI infrastructure costs (API calls, hosting) vary by usage but are typically $200-2,000/month for most products. We optimize for cost from day one and give you full visibility into spend.

Still have questions?

Get in Touch

Book a free AI feasibility session