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AI features that ship, not AI demos that stall at the prototype stage.
Adding AI to a product is mostly an engineering problem — cost per call, latency, fallback behavior, and knowing when a simpler rules-based approach beats an LLM. We build chatbots, workflow automation, and LLM-powered features that hold up in production, integrated into your existing stack rather than bolted on as a separate widget.
Why hire us for AI development
- We scope for cost and latency up front, not after your API bill arrives
- AI features integrated into your real product, not a standalone demo
- Honest guidance on when AI is the right tool and when it isn't
- Full source code ownership on final payment
What we build
Customer-facing chatbots
Support and sales chatbots grounded in your actual documentation and data, not generic responses.
Workflow automation
Replacing manual, repetitive tasks — data entry, triage, summarization — with an automated pipeline.
RAG & document search
Retrieval-augmented generation over your internal documents, product catalog, or knowledge base.
LLM features inside existing products
Summarization, classification, or generation features added directly into your app's existing UI.
How engagement works
We start by scoping the actual use case — including realistic cost-per-request and latency expectations — before committing to an approach. Prototypes are built fast to validate the idea, then hardened with error handling, rate limiting, and fallbacks before shipping to production. Billing is milestone or hourly depending on how exploratory the work is.
AI development FAQ
OpenAI, Anthropic (Claude), and open-source models depending on cost, latency, and data-privacy requirements for your use case.
Yes — part of scoping is an honest assessment of whether a simpler rules-based or search-based approach would serve you better.
Through prompt/response caching, request batching, and choosing the smallest model that meets the quality bar — reviewed with you before launch.
Yes, including which providers see what data, retention settings, and whether processing needs to stay within specific regions.