Discovery & Planning
We align on your product vision, define functional requirements, select the tech stack, and map out the development roadmap.
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Services
Product DevelopmentDesign, build, and launch scalable digital products from MVP to enterprise scale.
Artificial Intelligence
Integration
Enhance your existing software products with advanced artificial intelligence, machine learning, and automation.
Make Your Applications Smart and Conversational
Build software that learns and automates tasks. We integrate top-tier Large Language Models (LLMs) like GPT-4 or Claude, build smart custom chat engines, enable semantic vector search (Pinecone/pgvector), and set up agentic automations to analyze complex data patterns.
We implement robust caching and prompt engineering techniques to reduce your monthly LLM API operational costs by up to 50%.
How We Build?
We build Retrieval-Augmented Generation (RAG) pipelines that link your database to LLM inputs securely. We deploy vector models to index documents and construct clean, custom chat UIs for users.
Key Deliverables
We deliver intelligent RAG engines, conversational chatbots, LLM call logger portals, and semantic indexes.
- Document chunking and vector storage pipeline
- Custom AI agent workflows and routers
- Conversational chat interface widget
- Token cost tracking and analytics dashboard
What's Included in This Service?
- + LLM API Connection Setup
- + Vector Database Engineering
- + Custom System Prompt Optimization
- + Semantic Document Processing
Process
From Idea
to Production
FAQs
Frequently Asked
Questions
Both. We can add AI features to an existing product or include them in a new build, as long as there is a clear user task the model should help with.
Engineering time is quoted separately from model usage. Token and API costs from providers are billed to the client account unless we agree otherwise.
We keep sensitive data in your systems where possible, send only what the feature needs, and avoid training public models on private content.
A defined use case, access to sample data or documents, and a stakeholder who can judge whether answers are useful. We then design the workflow and safety limits.
Contact
Let’s Build
Intelligent Things
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