Most companies don't need a new AI product, they need AI inside the tools they already rely on. We integrate modern AI models into existing SaaS products, CRMs, helpdesks, internal dashboards, and custom applications: smart search, summarization, document Q&A, drafting, classification, and recommendations, grounded in your data and respecting your security model. The work covers everything from API integrations and authentication to retrieval pipelines, evaluation, and the UX changes that make AI feel like a natural part of the product instead of a bolted-on feature.
Our approach
What We Cover
Discovery
Data & Retrieval
Implementation
Launch & Operate
We identify where AI inside your existing systems will create real value, not just novelty.
We do
How We Work
01
Discovery
We start by understanding your goals, constraints, and the real problem behind the ask, before writing any code.
02
Architecture
We design a scalable, maintainable solution that fits your business, team, and long-term direction.
03
Implementation
We build the solution with modern engineering practices, close collaboration, and quality baked in from day one.
04
Improvement / Support
After launch, we keep iterating, monitoring, optimizing, and adding features as your needs evolve.
Technologies we work with
OpenAI
Anthropic Claude
LangChain
LlamaIndex
Pinecone
Weaviate
pgvector
Python
TypeScript
Node.js
Next.js
AWS