AI that solves real problems.

OpenAI integration, custom ML models, and intelligent features. Practical AI that ships to production, not science projects.

How we deliver AI projects

01

Feasibility assessment

We evaluate your use case, available data, and technical constraints to determine whether AI is the right solution and which approach will work best.

02

Prototype & validate

We build a working prototype, test it against real data, and measure accuracy and latency before committing to a full production build.

03

Production integration

We integrate the validated model into your application with proper error handling, monitoring, fallbacks, and cost controls.

AI & ML

What we build

OpenAI Integration

GPT-powered features including chat, summarization, classification, and structured data extraction via the OpenAI API.

Vector Search

Semantic search and retrieval-augmented generation using pgvector, Pinecone, or Weaviate for context-aware AI responses.

Content Generation

Automated content creation pipelines for product descriptions, marketing copy, and personalized communications.

Document Processing

Intelligent document parsing, extraction, and classification for invoices, contracts, and unstructured text.

Recommendation Engines

Personalized product, content, and user recommendations based on behavioral data and collaborative filtering.

Custom Models

Fine-tuned and self-hosted models for specialized tasks where off-the-shelf APIs fall short on accuracy or privacy.

FAQ

FAQ

No. We handle the full stack, from selecting the right model to deploying it in your application. Your team only needs to define the business problem and provide access to relevant data.
We work with OpenAI, Anthropic, open-source models like Llama, and cloud ML services from AWS and Google. We choose the model based on your accuracy needs, latency requirements, and budget.
We use private API endpoints, avoid sending sensitive data to third-party models when possible, and can deploy self-hosted models for regulated industries. All integrations follow your data governance policies.
A prototype usually takes 2-4 weeks and fits within our standard monthly rate. Production integration varies based on complexity, but we scope it clearly before work begins so there are no surprises.

Still have questions?

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Let's explore what AI can do for your product